[Sigmetrics] Papers of interest to readers to the SIG-Metrics List (November 4, 2016)
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eugene.garfield at thomsonreuters.com
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Title:
Is SAM still alive? A bibliometric and interpretive mapping of the strategic alignment research field
Authors:
Alexandre, R; Isabelle, W; Michel, K
Author Full Names:
Alexandre, Renaud; Isabelle, Walsh; Michel, Kalika
Source:
JOURNAL OF STRATEGIC INFORMATION SYSTEMS, 25 (2):75-103; 10.1016/j.jsis.2016.01.002 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Strategic alignment model, Tri-citation analysis, Bibliometric methods, Management of strategic information systems
KeyWords Plus:
INFORMATION-TECHNOLOGY OBJECTIVES; SUSTAINED COMPETITIVE ADVANTAGE; AUTHOR COCITATION ANALYSIS; RESOURCE-BASED VIEW; INTELLECTUAL STRUCTURE; CITATION ANALYSIS; GROUNDED THEORY; TOP MANAGEMENT; BUSINESS VALUE; SOCIOTECHNICAL CHANGE
Abstract:
The strategic use of IS and the alignment of IT with business needs are
important managerial issues that need to be addressed if optimal
organizational performance is to be achieved. IS research has proposed
models to optimize the impact of IS investment on organizational
performance. The Strategic Alignment Model (SAM) proposed by Henderson
and Venkatraman is the most well-known and widely used of these models.
However, 20 years on, there remains a significant disparity between the
intended contribution of the literature built around SAM and the
apparent practical consequences of its application in organizations. In
this study, we explain this disparity using a grounded theory stance
with a bibliometric and interpretive approach to help us analyze the
literature: We use tri-citation analysis (with bibliometric data
collected in 2011, and again in 2014) and investigate interpretatively
the contents of the texts highlighted by our statistical results. This
allows us to show that the research field built around SAM mostly
appears not to challenge its basic assumptions and premises, although
these may artificially constrain organizational reality and practices.
In turn, this leads us to propose an explanation for practitioners'
apparent failures to fulfill SAM's intended contribution. Beyond our
theoretical and methodological contributions, we propose possible
theoretical and practical improvements to adapt this model to the
current organizational reality. (C) 2016 Elsevier B.V. All rights
reserved.
Reprint Address:
Alexandre, R (reprint author), ESSCA Sch Management, 55 Quai Alphonse Le Gallo, F-92513 Boulogne Billancourt, France.
Addresses:
[Alexandre, Renaud] ESSCA Sch Management, 55 Quai Alphonse Le Gallo, F-92513 Boulogne Billancourt, France.
[Isabelle, Walsh] Pole Univ Leonard De Vinci, SKEMA Business Sch, F-92916 Courbevoie, Paris La Defenc, France.
[Michel, Kalika] Univ Lyon 3, IAE Lyon, Equipe Rech Magellan, 6 Cours Albert Thomas BP 8242, F-69355 Lyon 08, France.
E-mail Addresses:
alexandre.renaud at essca.fr; isabelle.walsh at skema.edu; michel.kalika at univ-lyon3.fr
Cited Reference Count:
181
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0963-8687
eISSN:
1873-1198
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science; Management
Research Areas:
Computer Science; Information Science & Library Science; Business & Economics
IDS Number:
DP4FW
Unique ID:
WOS:000378452800002
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Title:
Correlation between a country's centrality measures and the impact of research paper: The case of biotechnology research in Latin America
Authors:
Pupo, GAR; Danta, YR; Pupo, YL
Author Full Names:
Ronda Pupo, Guillermo Armando; Ronda Danta, Yesenia; Leyva Pupo,
Yusleydis
Source:
INVESTIGACION BIBLIOTECOLOGICA, 30 (69):75-94; 10.1016/j.ibbai.2016.04.013 MAY-AUG 2016
Language:
Spanish
Document Type:
Article
Author Keywords:
Centrality Degree, g-index, Research on Biotechnology, Scientific Impact
KeyWords Plus:
CO-AUTHORSHIP NETWORKS; SELF-CITATIONS; REGRESSION-ANALYSIS; PERFORMANCE; INDEX; COLLABORATION; PERSPECTIVE; SCIENCES; PATTERNS
Abstract:
The aim of this paper is to unveil the latent structure of the Latin
American regional biotechnology research collaboration network, as well
as to determine whether the impact of a biotechnology paper is
correlated to centrality measures (degree, betweenness and closeness) of
Latin American countries within the structure of the regional
collaboration network. To achieve these objectives, 14,173 Latin
American biotechnology papers published between 1988 and 2012 were
analyzed, using a combination of social network analysis and
bibliometric techniques. Results of the study show the impact of a Latin
American biotechnology paper is positively correlated to its country's
betweenness, but not to its centrality degree or closeness. These
findings show the importance of developing collaboration networks to
impel biotechnology research in Latin America.
Reprint Address:
Pupo, GAR (reprint author), Univ Catolica Norte, Santiago, Chile.Pupo, GAR (reprint author), Univ Holguin, Holguin, Cuba.
Addresses:
[Ronda Pupo, Guillermo Armando] Univ Catolica Norte, Santiago, Chile.
[Ronda Pupo, Guillermo Armando] Univ Holguin, Holguin, Cuba.
[Ronda Danta, Yesenia] Univ Ciencias Med, Holguin, Cuba.
[Leyva Pupo, Yusleydis] Policlin Alcides Pino Coello, Holguin, Cuba.
E-mail Addresses:
gronda at ucn.cl; yusleidysleyva at gmail.com
Cited Reference Count:
50
Times Cited:
0
Publisher:
UNIV NACIONAL AUTONOMA MEXICO, CIUDAD UNIV, CENTRO UNIV BIBLIOTECOLOGICAS, TORRE II HUMANIDADES, PISO 11, 12 & 13, MEXICO CITY, CP 04510, MEXICO
ISSN:
0187-358X
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DO9ID
Unique ID:
WOS:000378099000004
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Title:
TOPIC-ADJUSTED VISIBILITY METRIC FOR SCIENTIFIC ARTICLES
Authors:
Tan, LSL; Chan, AH; Zheng, T
Author Full Names:
Tan, Linda S. L.; Chan, Aik Hui; Zheng, Tian
Source:
ANNALS OF APPLIED STATISTICS, 10 (1):1-31; 10.1214/15-AOAS887 MAR 2016
Language:
English
Document Type:
Article
Author Keywords:
Article level metric, citation network models, stochastic blockmodels, variational Bayes, stochastic variational inference
KeyWords Plus:
IMPACT FACTOR; SCIENTOMETRIC INDICATORS; VARIATIONAL INFERENCE; MODELS; NETWORKS
Abstract:
Measuring the impact of scientific articles is important for evaluating
the research output of individual scientists, academic institutions and
journals. While citations are raw data for constructing impact measures,
there exist biases and potential issues if factors affecting citation
patterns are not properly accounted for. In this work, we address the
problem of field variation and introduce an article level metric useful
for evaluating individual articles' visibility. This measure derives
from joint probabilistic modeling of the content in the articles and the
citations among them using latent Dirichlet allocation (LDA) and the
mixed membership stochastic blockmodel (MMSB). Our proposed model
provides a visibility metric for individual articles adjusted for field
variation in citation rates, a structural understanding of citation
behavior in different fields, and article recommendations which take
into account article visibility and citation patterns. We develop an
efficient algorithm for model fitting using variational methods. To
scale up to large networks, we develop an online variant using
stochastic gradient methods and case-control likelihood approximation.
We apply our methods to the benchmark KDD Cup 2003 dataset with
approximately 30,000 high energy physics papers.
Reprint Address:
Tan, LSL (reprint author), Columbia Univ, Dept Stat, Room 1005 SSW,MC 4690 1255 Amsterdam Ave, New York, NY 10027 USA.Tan, LSL (reprint author), Natl Univ Singapore, Fac Sci, Dept Stat & Appl Probabil, Block S16,Level 7,6 Sci Dr 2, Singapore 117546, Singapore.
Addresses:
[Tan, Linda S. L.; Zheng, Tian] Columbia Univ, Dept Stat, Room 1005 SSW,MC 4690 1255 Amsterdam Ave, New York, NY 10027 USA.
[Tan, Linda S. L.] Natl Univ Singapore, Fac Sci, Dept Stat & Appl Probabil, Block S16,Level 7,6 Sci Dr 2, Singapore 117546, Singapore.
[Chan, Aik Hui] Natl Univ Singapore, Fac Sci, Dept Phys, Blk S12 Mezzanine Level,2 Sci Dr 3, Singapore 117551, Singapore.
E-mail Addresses:
statsll at nus.edu.sg; phycahp at nus.edu.sg; tzheng at stat.columbia.edu
Funding Acknowledgement:
National University of Singapore Overseas Postdoctoral Fellowship; NSF [SES-1023176]
Funding Text:
Supported by the National University of Singapore Overseas Postdoctoral Fellowship.Supported in part by NSF Grant SES-1023176.
Cited Reference Count:
53
Times Cited:
0
Publisher:
INST MATHEMATICAL STATISTICS, 3163 SOMERSET DR, CLEVELAND, OH 44122 USA
ISSN:
1932-6157
Web of Science Categories:
Statistics & Probability
Research Areas:
Mathematics
IDS Number:
DO9OU
Unique ID:
WOS:000378116900001
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Title:
Ideational Influence, Connectedness, and Venue Representation: Making an Assessment of Scholarly Capital
Authors:
Cuellar, MJ; Takeda, H; Vidgen, R; Truex, D
Author Full Names:
Cuellar, Michael J.; Takeda, Hirotoshi; Vidgen, Richard; Truex, Duane
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 17 (1):1-28; FEB 2016
Language:
English
Document Type:
Article
Author Keywords:
Affiliation Network Analysis, Bibliometrics, Citation Analysis, Connectedness, Hirsch Family Indices, Ideational Influence, IS Research Evaluation, Scholarly Capital, Scientometrics, Social Network Analysis, Venue Representation
KeyWords Plus:
MANAGEMENT-INFORMATION-SYSTEMS; H-INDEX; NETWORK ANALYSIS; RESEARCH PRODUCTIVITY; COCITATION ANALYSIS; MIS; JOURNALS; QUALITY; IMPACT; CONSTRUCTION
Abstract:
Assessing the research capital that a scholar has accrued is an
essential task for academic administrators, funding agencies, and
promotion and tenure committees worldwide. Scholars have criticized the
existing methodology of counting papers in ranked journals and made
calls to replace it (Adler & Harzing, 2009; Singh, Haddad, & Chow,
2007). In its place, some have made calls to assess the uptake of a
scholar's work instead of assessing "quality" (Truex, Cuellar, Takeda, &
Vidgen, 2011a). We identify three dimensions of scholarly capital
(ideational influence (who uses one's work?), connectedness (with whom
does one work?) and venue representation (where does one publish their
work?)) in this paper as part of a scholarly capital model (SCM). We
develop measurement models for the three dimensions of scholarly capital
and test the relationships in a path model. We show how one might use
the measures to evaluate scholarly research activity.
Reprint Address:
Cuellar, MJ (reprint author), Georgia So Univ, Informat Syst, Statesboro, GA 30460 USA.
Addresses:
[Cuellar, Michael J.] Georgia So Univ, Informat Syst, Statesboro, GA 30460 USA.
[Takeda, Hirotoshi] Univ Laval, Dept Syst Informat Org, Quebec City, PQ, Canada.
[Vidgen, Richard] Univ New S Wales, UNSW Business Sch, Sydney, NSW 2052, Australia.
[Truex, Duane] Georgia State Univ, CIS, Atlanta, GA 30303 USA.
E-mail Addresses:
mcuellar at georgiasouthern.edu; hirotoshi.takeda at fsa.ulaval.ca; r.vidgen at unsw.edu.au; dtruex at gsu.edu
Cited Reference Count:
83
Times Cited:
1
Publisher:
ASSOC INFORMATION SYSTEMS, GEORGIA STATE UNIV, 35 BROAD STREET, STE 916-917, ATLANTA, GA 30303 USA
ISSN:
1536-9323
eISSN:
1558-3457
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DO9XU
Unique ID:
WOS:000378142100001
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Title:
Research Fronts and Prevailing Applications in Data Envelopment Analysis
Authors:
Liu, JS; Lu, LYY; Lu, WM
Author Full Names:
Liu, John S.; Lu, Louis Y. Y.; Lu, Wen-Min
Edited by:
Zhu J
Source:
DATA ENVELOPMENT ANALYSIS: A HANDBOOK OF EMPIRICAL STUDIES AND APPLICATIONS, 238 543-574; 10.1007/978-1-4899-7684-0_18 2016
Book Series:
International Series in Operations Research & Management Science
Language:
English
Document Type:
Article; Book Chapter
Author Keywords:
Data envelopment analysis, Research front, Literature survey, Main path analysis
KeyWords Plus:
SLACKS-BASED MEASURE; DIRECTIONAL DISTANCE FUNCTION; CROSS-EFFICIENCY EVALUATIONS; MODELING UNDESIRABLE FACTORS; BANK BRANCH EFFICIENCY; DECISION-MAKING UNITS; SUPER-EFFICIENCY; NETWORK-DEA; SENSITIVITY-ANALYSIS; COMMERCIAL-BANKS
Abstract:
Research activities relating to data envelopment analysis (DEA) have
grown at a fast rate recently. Exactly what activities have been
carrying the research momentum forward is a question of particular
interest to the research community. This study finds these research
activities, or research fronts, as well as some facts on applications in
DEA. A research front refers to a coherent topic or issue addressed by a
group of research articles in recent years. The large amount of DEA
literature makes it difficult to use any traditional qualitative
methodology to sort out the matter. Thus, this study applies a network
clustering method to group the literature through a citation network
established from the DEA literature over the period 2000-2014. The
keywords of the articles in each discovered group help pinpoint its
research focus. The four research fronts identified are "bootstrapping
and two-stage analysis", "undesirable factors", "cross-efficiency and
ranking", and "network DEA, dynamic DEA, and SBM". Each research front
is then examined with key-route main path analysis to uncover the
elements in its core. In the end, we present the prevailing DEA
applications and the observed association between DEA methodologies and
applications.
Reprint Address:
Liu, JS (reprint author), Natl Taiwan Univ Sci & Technol, Grad Inst Technol Management, 43,Sect 4,Keelung Rd, Taipei 10607, Taiwan.
Addresses:
[Liu, John S.] Natl Taiwan Univ Sci & Technol, Grad Inst Technol Management, 43,Sect 4,Keelung Rd, Taipei 10607, Taiwan.
[Lu, Louis Y. Y.] Yuan Ze Univ, Coll Management, 135 Yuan Tung Rd, Taoyuan 32003, Taiwan.
[Lu, Wen-Min] Natl Def Univ, Dept Financial Management, 70,Sect 2,Zhongyang North Rd, Taipei 112, Taiwan.
E-mail Addresses:
johnliu at mail.ntust.edu.tw; louislu at saturn.yzu.edu.tw; wenmin.lu at gmail.com
Cited Reference Count:
148
Times Cited:
0
Publisher:
SPRINGER, 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
ISSN:
0884-8289
ISBN:
978-1-4899-7684-0; 978-1-4899-7682-6
Book DOI:
10.1007/978-1-4899-7684-0
Web of Science Categories:
Management; Operations Research & Management Science
Research Areas:
Business & Economics; Operations Research & Management Science
IDS Number:
BE8KM
Unique ID:
WOS:000376530200019
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*Order Full Text [ ]
Title:
The scope of price promotion research: An informetric study
Authors:
Kuntner, T; Teichert, T
Author Full Names:
Kuntner, Tobias; Teichert, Thorsten
Source:
JOURNAL OF BUSINESS RESEARCH, 69 (8):2687-2696; 10.1016/j.jbusres.2015.11.004 AUG 2016
Language:
English
Document Type:
Article
Author Keywords:
Price promotion, Informetrics, Bibliometrics, Text mining
KeyWords Plus:
AUTHOR COCITATION ANALYSIS; BRAND CHOICE; INTELLECTUAL STRUCTURE; MANAGEMENT FIELD; SALES PROMOTIONS; NETWORK ANALYSIS; IMPACT; STRATEGY; SCIENCE; DISCIPLINES
Abstract:
Price promotions are an essential element of a company's marketing
policy because they affect sales, profits, and key intangible assets,
such as brand equity. Recognizing their importance, research has
accumulated an extensive and diverse amount of knowledge. This study
facilitates access to the complex price promotion literature, enabling
managers and researchers to more effectively capitalize on extant
scientific insights. The authors apply a unique combination of
quantitative bibliometric analysis and text-mining techniques to
contribute a fresh, domain-neutral, and objective review of price
promotion research published in 1165 journal articles from 1980 to 2013.
The results provide a structured overview of the field's main research
streams, their most influential works and key insights, their
intellectual connections, and their temporal evolution. A discussion of
the findings reveals potential for future research endeavors. (C) 2015
Elsevier Inc. All rights reserved.
Reprint Address:
Kuntner, T (reprint author), Univ Hamburg, Chair Mkt & Innovat, Room 3076,Von Melle Pk 5,Room 3077, D-20146 Hamburg, Germany.
Addresses:
[Kuntner, Tobias; Teichert, Thorsten] Univ Hamburg, Chair Mkt & Innovat, Room 3076,Von Melle Pk 5,Room 3077, D-20146 Hamburg, Germany.
E-mail Addresses:
Tobias.kuntner at wiso.uni-hamburg.de; Thorsten.teichert at uni-hamburg.de
Cited Reference Count:
51
Times Cited:
0
Publisher:
ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA
ISSN:
0148-2963
eISSN:
1873-7978
Web of Science Categories:
Business
Research Areas:
Business & Economics
IDS Number:
DO4BK
Unique ID:
WOS:000377726600008
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*Order Full Text [ ]
Title:
Advancing theory and knowledge in the business-to-business branding literature
Authors:
Seyedghorban, Z; Matanda, MJ; LaPlaca, P
Author Full Names:
Seyedghorban, Zahra; Matanda, Margaret Jekanyika; LaPlaca, Peter
Source:
JOURNAL OF BUSINESS RESEARCH, 69 (8):2664-2677; 10.1016/j.jbusres.2015.11.002 AUG 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliographic, B2B branding, Citations, Impact, Research, Review
KeyWords Plus:
RESOURCE-BASED VIEW; JOURNAL COCITATION ANALYSIS; CO-WORD ANALYSIS; INTELLECTUAL STRUCTURE; INDUSTRIAL-PRODUCTS; EMERGING TRENDS; GOOGLE-SCHOLAR; REGENERATIVE MEDICINE; SCIENTIFIC LITERATURE; BIBLIOMETRIC ANALYSIS
Abstract:
This study investigates the intellectual structure, development, and
evolution of business-to business (B2B) branding research by undertaking
a bibliometric analysis of scholarly articles on B2B branding over the
43-year period from 1972 to 2015. The analysis covers 169 scholarly
articles by 395 authors and 10,270 citations from 33 academic journals
in which B2B branding articles appeared. By identifying and evaluating
the underlying structure and evolution of scholarly research in B2B
branding, this study provides an exhaustive review of this discipline as
well as a baseline on which future researchers in the field can build a
sound theoretical foundation. The bibliometric analysis results reveal
the most cited articles, keywords, authors, institutions, and countries
in B2B branding discipline. Further, the study identifies major areas of
B2B branding research. The study closes with implications of findings
and a report on emerging trends as well as directions for future
research. (C) 2015 Elsevier Inc. All rights reserved.
Reprint Address:
Seyedghorban, Z (reprint author), Monash Univ, Dept Mkt, Melbourne, Vic 3004, Australia.
Addresses:
[Seyedghorban, Zahra] Monash Univ, Dept Mkt, Melbourne, Vic 3004, Australia.
[Matanda, Margaret Jekanyika] Univ Sydney, Sch Business, Sydney, NSW 2006, Australia.
[LaPlaca, Peter] Univ Connecticut, Storrs, CT USA.
E-mail Addresses:
zahra.seyedghorban at monash.edu; Margaret.Matanda at sydney.edu.au; plaplaca at journalimm.com
Cited Reference Count:
118
Times Cited:
0
Publisher:
ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA
ISSN:
0148-2963
eISSN:
1873-7978
Web of Science Categories:
Business
Research Areas:
Business & Economics
IDS Number:
DO4BK
Unique ID:
WOS:000377726600006
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*Record 3 of 12.
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Title:
How to measure the quality of financial tweets
Authors:
Cerchiello, P; Giudici, P
Author Full Names:
Cerchiello, Paola; Giudici, Paolo
Source:
QUALITY & QUANTITY, 50 (4):1695-1713; 10.1007/s11135-015-0229-6 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Big data, h index, Monte Carlo methods, Systemic risk modeling
KeyWords Plus:
H-INDEX; HIRSCH INDEX; MODEL
Abstract:
Twitter text data may be very useful to evaluate from a different
perspective financial tangibles, such as share prices, as well as
intangible assets, such as company reputation. While twitter data are
becoming widely available to researchers, methods aimed at selecting
reliable twitter data are, to our knowledge, not yet available. To
overcome this problem, and allow to employ twitter data for descriptive
and predictive purposes, in this contribution we propose an effective
statistical method that formalises and extends a quality index employed
in the context of the evaluation of academic research, the h index,
renamed T index. Our proposal will be tested on a list of twitterers
described by the Financial Times as "the top financial tweeters to
follow", for the year 2013. Using our methodology we rank these
twitterers and provide confidence intervals to decide whether they are
significantly different. Moreover through a sentiment analysis, we
employ the twitters content to estimate graphical models useful in the
context of financial systemic risk. To this aim we focus on the Italian
bank system and we show how listed banks are connected on the basis of
tweets data.
Reprint Address:
Cerchiello, P (reprint author), Univ Pavia, Dept Econ & Management, Via S Felice 5, I-27100 Pavia, Italy.
Addresses:
[Cerchiello, Paola; Giudici, Paolo] Univ Pavia, Dept Econ & Management, Via S Felice 5, I-27100 Pavia, Italy.
E-mail Addresses:
paola.cerchiello at unipv.it
Cited Reference Count:
24
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0033-5177
eISSN:
1573-7845
Web of Science Categories:
Social Sciences, Interdisciplinary; Statistics & Probability
Research Areas:
Social Sciences - Other Topics; Mathematics
IDS Number:
DO5EJ
Unique ID:
WOS:000377806100016
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========================================================================
*View Full Record: https://urldefense.proofpoint.com/v2/url?u=http-3A__gateway.webofknowledge.com_gateway_Gateway.cgi-3FGWVersion-3D2-26SrcAuth-3DAlerting-26SrcApp-3DAlerting-26DestApp-3DWOS-26DestLinkType-3DFullRecord-3BUT-3DWOS-3A000377561700053&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=R4QZexXBGSZS2hxRy8wIDq3xA6J-oHfqhP5myF4ovA8&s=IyjWe0uIbj03hJ2jqXv92miGO0ck5NIA9vZsPtweq4Q&e=
*Order Full Text [ ]
Title:
Measuring the Impact of Research: Lessons from the UK's Research Excellence Framework 2014
Authors:
Chowdhury, G; Koya, K; Philipson, P
Author Full Names:
Chowdhury, Gobinda; Koya, Kushwanth; Philipson, Pete
Source:
PLOS ONE, 11 (6):10.1371/journal.pone.0156978 JUN 8 2016
Language:
English
Document Type:
Article
KeyWords Plus:
BETA REGRESSION; RANKINGS
Abstract:
Impactful academic research plays a stellar role in society, pressing to
ask the question of how one measures the impact created by different
areas of academic research. Measuring the societal, cultural, economic
and scientific impact of research is currently the priority of the
National Science Foundation, European Commission and several research
funding agencies. The recently concluded United Kingdom's national
research quality exercise, the Research Excellence Framework (REF) 2014,
which piloted impact assessment as part of the overall evaluation offers
a lens to view how impact of research in different disciplines can be
measured. Overall research quality was assessed through quality of
outputs, `impact' and research environment. We performed two studies
using the REF 2014 as a case study. The first study on 363 Impact Case
Studies (ICSs) submitted in 5 research areas (UoAs) reveals that, in
general, the impact scores were constructed upon a combination of
factors i.e. quantity of quartile-one (Q1) publications, quantity and
value of grants/income, number of researchers stated in the ICSs,
spin-offs created, discoveries/patents and presentation of esteem data,
informing researchers/ academics of the factors to consider in order to
achieve a better impact score in research impact assessments. However,
there were differences among disciplines in terms of the role played by
the factors in achieving their overall scores for the ICSs. The outcome
of this study is thus a set of impact indicators, and their relationship
with the overall score of impact of research in different disciplines as
determined in REF2014, which would in the first instance provide some
answers to impact measures that would be useful for researchers in
different disciplines. The second study extracts the general themes of
impact reported by universities by performing a word frequency analysis
in all the ICSs submitted in the five chosen research areas, which were
substantially varied owing to their fields.
Reprint Address:
Koya, K (reprint author), Northumbria Univ, Fac Engn & Environm, Dept Math & Informat Sci, Pandon Bldg,Camden St,Newcastle City Campus, Newcastle Upon Tyne NE2 1XE, Tyne & Wear, England.
Addresses:
[Chowdhury, Gobinda; Koya, Kushwanth; Philipson, Pete] Northumbria Univ, Fac Engn & Environm, Dept Math & Informat Sci, Pandon Bldg,Camden St,Newcastle City Campus, Newcastle Upon Tyne NE2 1XE, Tyne & Wear, England.
E-mail Addresses:
k.koya at northumbria.ac.uk
Cited Reference Count:
37
Times Cited:
0
Publisher:
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
ISSN:
1932-6203
Article Number:
e0156978
Web of Science Categories:
Multidisciplinary Sciences
Research Areas:
Science & Technology - Other Topics
IDS Number:
DO1TJ
Unique ID:
WOS:000377561700053
PubMed ID:
27276219
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========================================================================
*Record 6 of 12.
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*Order Full Text [ ]
Title:
Global research trends of Middle East respiratory syndrome coronavirus: a bibliometric analysis
Authors:
Zyoud, SH
Author Full Names:
Zyoud, Sa'ed H.
Source:
BMC INFECTIOUS DISEASES, 16 10.1186/s12879-016-1600-5 JUN 7 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliometric, Scopus, Coronavirus, Middle East respiratory syndrome coronavirus, MERS-CoV
KeyWords Plus:
SAUDI-ARABIA; RESEARCH OUTPUT; RESEARCH PRODUCTIVITY; SCIENTIFIC-RESEARCH; CLINICAL-FEATURES; MERS CORONAVIRUS; EBOLA RESEARCH; INFECTION; EPIDEMIOLOGY; OUTBREAK
Abstract:
Background: Middle East respiratory syndrome coronavirus (MERS-CoV) is a
virus that causes severe viral pneumonia in humans, known to have a high
mortality rate and a similarity in clinical symptoms with severe acute
respiratory syndrome coronavirus. It was first isolated in Kingdom of
Saudi Arabia (KSA) in 2012 and after that, MERS-CoV exhibited outbreaks
in several regions of the world. This study aimed to assess the
characteristics of publications involving MERS-CoV at global level by
using a bibliometric analysis.
Methods: Scopus database was searched on March 4, 2016 for MERS-CoV
publications published between 2012 and 2015. It was performed on the
same day in order to avoid the possible bias came from update on the
database because the metrics are changing over time. All publication
types were considered; however publications as errata were excluded.
Analysis parameters include year of publication, publication type,
patterns of international collaboration, research institutions,
journals, impact factor, h-index, language, and times cited.
Results: A total of 883 MERS-CoV research publications were published
across the world. The MERS-CoV-associated publications were originated
from 92 countries/territories, indicating the international spread of
MERS-CoV research. The USA was the largest contributor, with 319
articles published over 4 years, followed by KSA (113 articles). The
total number of citations for these publications has already achieved
8,015, with an average of 9.01 citations per each publication. The
h-index for MERS-CoV-associated publications was 48. The USA also have
the highest h-index (32), followed by KSA (26) and UK (22). Netherland
produced the greatest proportion of publications with international
research collaboration (72.7 %) followed by the UK (71 %) and Germany
(69.1 %) out of the total number of publications for each country.
Conclusions: There is a rapid increase in research activities related to
MERS-CoV from 2012 to 2015. This study demonstrates that the MERS-CoV
related literature has grown to be more extensive and global over the
past 4 years. The bulk of publications in the field of MERS-CoV research
are published by high-income countries such as the USA. Furthermore, the
USA, the UK and KSA may have higher quality of articles according to the
value of h-index.
Reprint Address:
Zyoud, SH (reprint author), An Najah Natl Univ, Dept Pharm, Fac Med & Hlth Sci, Div Clin & Community Pharm, Nablus 44839, Palestine, Israel.Zyoud, SH (reprint author), An Najah Natl Univ, PCDIC, Fac Med & Hlth Sci, Nablus 44839, Palestine, Israel.
Addresses:
[Zyoud, Sa'ed H.] An Najah Natl Univ, Dept Pharm, Fac Med & Hlth Sci, Div Clin & Community Pharm, Nablus 44839, Palestine, Israel.
[Zyoud, Sa'ed H.] An Najah Natl Univ, PCDIC, Fac Med & Hlth Sci, Nablus 44839, Palestine, Israel.
E-mail Addresses:
saedzyoud at yahoo.com
Cited Reference Count:
65
Times Cited:
0
Publisher:
BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND
ISSN:
1471-2334
Article Number:
255
Web of Science Categories:
Infectious Diseases
Research Areas:
Infectious Diseases
IDS Number:
DO7EZ
Unique ID:
WOS:000377946500001
PubMed ID:
27267256
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========================================================================
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Title:
Visualization analysis of the international research of marine spatial planning
Authors:
Ji, S; Liu, SG; Zhao, YH
Author Full Names:
Ji, Sheng; Liu, Shuguang; Zhao, Yuhong
Edited by:
Zhou S; Patty A; Chen S
Source:
ADVANCES IN ENERGY SCIENCE AND EQUIPMENT ENGINEERING, 991-996; 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
International Conference on Energy Equipment Science and Engineering (ICEESE)
Conference Date:
MAY 30-31, 2015
Conference Location:
Guangzhou, PEOPLES R CHINA
KeyWords Plus:
SCIENTIFIC LITERATURE
Abstract:
This paper uses CiteSpace to demonstrate visually intellectual
structures and developments, in marine spatial planning research from
1992 to 2013. By reproducing the modeling and visualization process
research on marine spatial planning, this paper analyzes the research of
marine spatial planning, such as: subject categories, keywords,
journals, co-citation and co-citation literature author. Then, this
paper reviews and reveals the new international research of marine
spatial planning, in order to provide relevant significance reference to
the study of the domestic marine spatial planning.
Reprint Address:
Ji, S (reprint author), Ocean Univ China, Dept Econ, Qingdao, Peoples R China.
Addresses:
[Ji, Sheng; Liu, Shuguang; Zhao, Yuhong] Ocean Univ China, Dept Econ, Qingdao, Peoples R China.
Cited Reference Count:
10
Times Cited:
0
Publisher:
CRC PRESS-TAYLOR & FRANCIS GROUP, 6000 BROKEN SOUND PARKWAY NW, STE 300, BOCA RATON, FL 33487-2742 USA
ISBN:
978-1-315-66798-0; 978-1-138-02867-8
Web of Science Categories:
Energy & Fuels; Engineering, Multidisciplinary
Research Areas:
Energy & Fuels; Engineering
IDS Number:
BE9JF
Unique ID:
WOS:000377647700191
Cited References:
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Title:
MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations
Authors:
Bu, Y; Liu, TY; Huang, WB
Author Full Names:
Bu, Yi; Liu, Tian-yi; Huang, Win-bin
Source:
SCIENTOMETRICS, 108 (1):143-166; 10.1007/s11192-016-1959-5 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Author co-citation analysis, Co-citation analysis, Citation analysis, Bibliometrics
KeyWords Plus:
INFORMATION-SCIENCE; ALL-AUTHOR; SIMILARITY MEASURES; INTELLECTUAL SPACE; PEARSONS R; NETWORKS; BEHAVIOR; AREA; 1ST; WEB
Abstract:
Author co-citation analysis (ACA) is a well-known and frequently-used
method to exhibit the academic researchers and the professional field
sketch according to co-citation relationships between authors in an
article set. However, visualizing subtle examination is limited because
only author co-citation information is required in ACA. The proposed
method, called modified author co-citation analysis (MACA), exploits
author co-citation relationship, citations published time, citations
published carriers, and citations keywords, to construct MACA-based
co-citation matrices. According to the results of our experiments: (1)
MACA shows a good clustering result with more delicacy and more
clearness; (2) more information involved in co-citation analysis
performs good visual acuity; (3) in visualization of co-citation network
produced by MACA, the points in different categories have far more
distance, and the points indicating authors in the same category are
closer together. As a result, the proposed MACA is found that more
detailed and subtle information of a knowledge domain analyzed can be
obtained, compared to ACA.
Reprint Address:
Huang, WB (reprint author), Peking Univ, Dept Informat Management, Beijing, Peoples R China.
Addresses:
[Bu, Yi; Liu, Tian-yi; Huang, Win-bin] Peking Univ, Dept Informat Management, Beijing, Peoples R China.
E-mail Addresses:
huangwb at pku.edu.cn
Cited Reference Count:
47
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500007
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Title:
Grand challenges in altmetrics: heterogeneity, data quality and dependencies
Authors:
Haustein, S
Author Full Names:
Haustein, Stefanie
Source:
SCIENTOMETRICS, 108 (1):413-423; 10.1007/s11192-016-1910-9 JUL 2016
Language:
English
Document Type:
Article; Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
Author Keywords:
Big data, Data integration, Research and innovation policy, Data quality, Comparability, Standardization, Concordance tables, Modularization, Interoperability, Research assessment
KeyWords Plus:
SOCIAL MEDIA; INDICATORS; METRICS; F1000; WEB
Abstract:
With increasing uptake among researchers, social media are finding their
way into scholarly communication and, under the umbrella term
altmetrics, are starting to be utilized in research evaluation. Fueled
by technological possibilities and an increasing demand to demonstrate
impact beyond the scientific community, altmetrics have received great
attention as potential democratizers of the scientific reward system and
indicators of societal impact. This paper focuses on the current
challenges for altmetrics. Heterogeneity, data quality and particular
dependencies are identified as the three major issues and discussed in
detail with an emphasis on past developments in bibliometrics. The
heterogeneity of altmetrics reflects the diversity of the acts and
online events, most of which take place on social media platforms. This
heterogeneity has made it difficult to establish a common definition or
conceptual framework. Data quality issues become apparent in the lack of
accuracy, consistency and replicability of various altmetrics, which is
largely affected by the dynamic nature of social media events.
Furthermore altmetrics are shaped by technical possibilities and are
particularly dependent on the availability of APIs and DOIs, strongly
dependent on data providers and aggregators, and potentially influenced
by the technical affordances of underlying platforms.
Reprint Address:
Haustein, S (reprint author), Univ Montreal, EBSI, CP 6128, Montreal, PQ H3C 3J7, Canada.
Addresses:
[Haustein, Stefanie] Univ Montreal, EBSI, CP 6128, Montreal, PQ H3C 3J7, Canada.
E-mail Addresses:
stefanie.haustein at umontreal.ca
Funding Acknowledgement:
Alfred P. Sloan Foundation [2014-3-25]
Funding Text:
The author acknowledges funding from the Alfred P. Sloan Foundation Grant # 2014-3-25. She would also like to thank Vincent Lariviere for stimulating discussions and helpful suggestions on the manuscript, as well as Sam Work for proofreading.
Cited Reference Count:
45
Times Cited:
1
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500023
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Title:
Predicting citation patterns: defining and determining influence
Authors:
Brizan, DG; Gallagher, K; Jahangir, A; Brown, T
Author Full Names:
Brizan, David Guy; Gallagher, Kevin; Jahangir, Arnab; Brown, Theodore
Source:
SCIENTOMETRICS, 108 (1):183-200; 10.1007/s11192-016-1950-1 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Citation analysis, Bibliometrics, Big data, Machine learning
KeyWords Plus:
SCIENCE; ARTICLE; INDEX
Abstract:
Definitions for influence in bibliometrics are surveyed and expanded
upon in this work. On data composed of the union of DBLP and CiteSeer
(x) , approximately 6 million publications, a relatively small number of
features are developed to describe the set, including loyalty and
community longevity, two novel features. These features are successfully
used to predict the influential set of papers in a series of machine
learning experiments. The most predictive features are highlighted and
discussed.
Reprint Address:
Brizan, DG (reprint author), CUNY, Dept Comp Sci, 365 Fifth Ave, New York, NY 10016 USA.Brizan, DG (reprint author), CUNY, Grad Ctr, 365 Fifth Ave, New York, NY 10016 USA.
Addresses:
[Brizan, David Guy; Brown, Theodore] CUNY, Dept Comp Sci, 365 Fifth Ave, New York, NY 10016 USA.
[Brizan, David Guy; Brown, Theodore] CUNY, Grad Ctr, 365 Fifth Ave, New York, NY 10016 USA.
[Gallagher, Kevin] NYU, Tandon Sch Engn, Dept Comp Sci, 6 MetroTech Ctr, Brooklyn, NY 11201 USA.
[Jahangir, Arnab] CUNY Hunter Coll, Dept Comp Sci, 695 Pk Ave, New York, NY 10065 USA.
E-mail Addresses:
dbrizan at gradcenter.cuny.edu
Funding Acknowledgement:
National Science Foundation [CNS-0958379, CNS-0855217, ACI-1126113]; City University of New York High Performance Computing Center at the College of Staten Island
Funding Text:
This research was supported, in part, under National Science Foundation Grants CNS-0958379, CNS-0855217, ACI-1126113 and the City University of New York High Performance Computing Center at the College of Staten Island. The authors also acknowledge the Office of Information Technology at The Graduate Center, CUNY for providing database and server resources that have contributed to the research results reported within this paper. URL: https://urldefense.proofpoint.com/v2/url?u=http-3A__it.gc.cuny.edu_&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=bJUTAvUo04U-50AD9wwkGZXkju5EQkLWAPQHMuywB5I&s=9rFOuo2lyxA-Z1DgDhVhh5rlEFpuY53_aZdBvITBffE&e= .
Cited Reference Count:
25
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500009
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Title:
Is there a gender difference in scientific collaboration? A scientometric examination of co-authorships among industrial-organizational psychologists
Authors:
Fell, CB; Konig, CJ
Author Full Names:
Fell, Clemens B.; Koenig, Cornelius J.
Source:
SCIENTOMETRICS, 108 (1):113-141; 10.1007/s11192-016-1967-5 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Gender differences, Collaboration, Research productivity, Scientific productivity, Impact, Networking
KeyWords Plus:
COAUTHORSHIP PATTERNS; IMPACT FACTOR; SCIENCE; NETWORKS; PRODUCTIVITY; WOMEN; METAANALYSIS; STRATEGIES; PERSONALITY; PERFORMANCE
Abstract:
In modern knowledge societies, scientific research is crucial, but
expensive and often publicly financed. However, with regard to
scientific research success, some studies have found gender differences
in favor of men. To explain this, it has been argued that female
researchers collaborate less than male researchers, and the current
study examines this argument scientometrically. A secondary data
analysis was applied to the sample of a recent scientometric publication
(Konig et al. in Scientometrics 105:1931-1952, 2015. doi:
10.1007/s11192-015-1646-y). The sample comprised 4234 (45 % female)
industrial-organizational psychologists with their 46,656 publications
(published from 1948 to 2013) and all of their approx. 100,000
algorithmically genderized collaborators (i.e., co-authors). Findings
confirmed that (a) the majority of researchers' publications resulted
from collaborations, and (b) their engagement in collaborations was
related to their scientific success, although not as clearly as expected
(and partly even negatively). However, there was no evidence that a lack
of female collaboration causes females' lower scientific success. In
fact, female researchers engage in more scientific collaborations. Our
findings have important implications for science and society because
they make gender differences in scientific success much harder to
rationalize.
Reprint Address:
Fell, CB (reprint author), Univ Saarland, Fachrichtung Psychol, Campus A1 3, D-66123 Saarbrucken, Germany.
Addresses:
[Fell, Clemens B.; Koenig, Cornelius J.] Univ Saarland, Fachrichtung Psychol, Campus A1 3, D-66123 Saarbrucken, Germany.
E-mail Addresses:
c.fell at mx.uni-saarland.de
Cited Reference Count:
146
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500006
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Title:
Unveiling the intellectual origins of Social Media-based innovation: insights from a bibliometric approach
Authors:
Appio, FP; Martini, A; Massa, S; Testa, S
Author Full Names:
Appio, Francesco Paolo; Martini, Antonella; Massa, Silvia; Testa,
Stefania
Source:
SCIENTOMETRICS, 108 (1):355-388; 10.1007/s11192-016-1955-9 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Social Media, Innovation, Bibliometric analysis, Content analysis, Diversity analysis
KeyWords Plus:
AUTHOR COCITATION ANALYSIS; OPEN-SOURCE SOFTWARE; OPEN-SOURCE PROJECTS; PRODUCT DEVELOPMENT; USER INNOVATION; VIRTUAL COMMUNITIES; RESEARCH ISSUES; SELF-EFFICACY; CO-CREATION; CUSTOMER
Abstract:
This article uses a bundle of bibliometric and text-mining techniques to
provide a systematic assessment of the intellectual core of the Social
Media-based innovation research field. The goal of this study is to
identify main research areas, understand the current state of
development and suggest potential future directions by analysing
co-citations from 155 papers published between 2003 and 2013 in the most
influential academic journals. The main clusters have been identified,
mapped, and labelled. Their most active areas on this topic and the most
influential and co-cited papers have been identified and described.
Also, intra- and inter-cluster knowledge base diversity has been
assessed by using indicators stemming from the domains of Information
Theory and Biology. A t test has been performed to assess the
significance of the inter-cluster diversity. Five co-existing research
streams shaping the research field under investigation have been
identified and characterized.
Reprint Address:
Appio, FP (reprint author), Pole Univ, Res Ctr, Business Grp, 12 Av Leonard de Vinci, F-92916 Paris, France.
Addresses:
[Appio, Francesco Paolo] Pole Univ, Res Ctr, Business Grp, 12 Av Leonard de Vinci, F-92916 Paris, France.
[Martini, Antonella] Univ Pisa, Sch Engn DESTEC, I-56122 Pisa, Italy.
[Massa, Silvia; Testa, Stefania] Univ Genova DIME, Via All Opera Pia 15, I-16146 Genoa, Italy.
E-mail Addresses:
francesco.appio at devinci.fr
Cited Reference Count:
139
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500020
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Title:
Predicting citation patterns: defining and determining influence
Authors:
Brizan, DG; Gallagher, K; Jahangir, A; Brown, T
Author Full Names:
Brizan, David Guy; Gallagher, Kevin; Jahangir, Arnab; Brown, Theodore
Source:
SCIENTOMETRICS, 108 (1):183-200; 10.1007/s11192-016-1950-1 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Citation analysis, Bibliometrics, Big data, Machine learning
KeyWords Plus:
SCIENCE; ARTICLE; INDEX
Abstract:
Definitions for influence in bibliometrics are surveyed and expanded
upon in this work. On data composed of the union of DBLP and CiteSeer
(x) , approximately 6 million publications, a relatively small number of
features are developed to describe the set, including loyalty and
community longevity, two novel features. These features are successfully
used to predict the influential set of papers in a series of machine
learning experiments. The most predictive features are highlighted and
discussed.
Reprint Address:
Brizan, DG (reprint author), CUNY, Dept Comp Sci, 365 Fifth Ave, New York, NY 10016 USA.Brizan, DG (reprint author), CUNY, Grad Ctr, 365 Fifth Ave, New York, NY 10016 USA.
Addresses:
[Brizan, David Guy; Brown, Theodore] CUNY, Dept Comp Sci, 365 Fifth Ave, New York, NY 10016 USA.
[Brizan, David Guy; Brown, Theodore] CUNY, Grad Ctr, 365 Fifth Ave, New York, NY 10016 USA.
[Gallagher, Kevin] NYU, Tandon Sch Engn, Dept Comp Sci, 6 MetroTech Ctr, Brooklyn, NY 11201 USA.
[Jahangir, Arnab] CUNY Hunter Coll, Dept Comp Sci, 695 Pk Ave, New York, NY 10065 USA.
E-mail Addresses:
dbrizan at gradcenter.cuny.edu
Funding Acknowledgement:
National Science Foundation [CNS-0958379, CNS-0855217, ACI-1126113]; City University of New York High Performance Computing Center at the College of Staten Island
Funding Text:
This research was supported, in part, under National Science Foundation Grants CNS-0958379, CNS-0855217, ACI-1126113 and the City University of New York High Performance Computing Center at the College of Staten Island. The authors also acknowledge the Office of Information Technology at The Graduate Center, CUNY for providing database and server resources that have contributed to the research results reported within this paper. URL: https://urldefense.proofpoint.com/v2/url?u=http-3A__it.gc.cuny.edu_&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=lIzDGuH_B1m4K2uJNkwiHPedQqJoh8zXhtMUOxCg8FE&s=Fy8kf2yHZ7SOVc6Agf_l98irg7bf9zyyd2qeNAgGH9w&e= .
Cited Reference Count:
25
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500009
Cited References:
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Title:
A critical review of the development, current hotspots, and future directions of Lake Taihu research from the bibliometrics perspective
Authors:
Zhang, YL; Yao, XL; Qin, BQ
Author Full Names:
Zhang, Yunlin; Yao, Xiaolong; Qin, Boqiang
Source:
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 23 (13):12811-12821; 10.1007/s11356-016-6856-1 JUL 2016
Language:
English
Document Type:
Review
Author Keywords:
Author keyword, Bibliometric analysis, Current hotspots, Future directions, Lake Taihu, Web of Science
KeyWords Plus:
MICROCYSTIS SPP. BLOOMS; CLIMATE-CHANGE; SEDIMENT RESUSPENSION; HARMFUL CYANOBACTERIA; SHALLOW LAKES; WATER CRISIS; ALGAL BLOOMS; CHINA; EUTROPHICATION; MANAGEMENT
Abstract:
Lake Taihu, as the important drinking water source of the Yangtze River
Delta urban agglomeration and the third largest freshwater lake in
China, has experienced serious lake eutrophication and water quality
deterioration in the past three decades. Growing scientific, political,
and public attention has been given to the water quality of Lake Taihu.
This study aimed to conduct a comparative quantitative and qualitative
analysis of the development, current hotspots, and future directions of
Lake Taihu research using a bibliometric analysis of eight well-studied
lakes (Lake Taihu, Lake Baikal, Lake Biwa, Lake Erie, Lake Michigan,
Lake Ontario, Lake Superior and Lake Victoria) around the world based on
the Science Citation Index (SCI) database. A total of 1582 papers
discussing Lake Taihu research were published in 322 journals in the
past three decades. However, the first paper about Lake Taihu research
was not found in the SCI database until 1989, and there were only zero,
one, or two papers each year from 1989 to 1995. There had been rapid
development in Lake Taihu research since 1996 and a sharp increase in
papers since 2005. A keyword analysis showed that "sediment,"
"eutrophication", "Microcystis aeruginosa", "cyanobacterial blooms", and
"remote sensing" were the most frequently used keywords of the study
subject. Owing to its significant impact on aquatic ecosystems, a
crucial emphasis has been placed on climate change recently. In
addition, the future focuses of research directions, including (1)
environmental effects of physical processes; (2) nutrient cycles and
control and ecosystem responses; (3) cyanobacteria bloom monitoring,
causes, forecast and management; (4) eutrophication and climate change
interactions; and (5) ecosystem degradation mechanism and ecological
practice of lake restoration, are presented based on the keyword
analysis. Through multidisciplinary fields (physics, chemistry, and
biology) cross and synthesis study of Lake Taihu, the development of
shallow lake limnology will be largely promoted.
Reprint Address:
Zhang, YL (reprint author), Chinese Acad Sci, Nanjing Inst Geog & Limnol, Taihu Lab Lake Ecosyst Res, State Key Lab Lake Sci & Environm, Nanjing 210008, Jiangsu, Peoples R China.
Addresses:
[Zhang, Yunlin; Yao, Xiaolong; Qin, Boqiang] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Taihu Lab Lake Ecosyst Res, State Key Lab Lake Sci & Environm, Nanjing 210008, Jiangsu, Peoples R China.
[Yao, Xiaolong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
E-mail Addresses:
ylzhang at niglas.ac.cn
Funding Acknowledgement:
National Natural Science Foundation of China [41325001, 41230744, 41271355]; Major Projects on Control and Rectification of Water Body Pollution [2012ZX07101-010]
Funding Text:
This study was jointly funded by the National Natural Science Foundation of China (grants 41325001, 41230744, and 41271355) and the Major Projects on Control and Rectification of Water Body Pollution (2012ZX07101-010).
Cited Reference Count:
49
Times Cited:
0
Publisher:
SPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
ISSN:
0944-1344
eISSN:
1614-7499
Web of Science Categories:
Environmental Sciences
Research Areas:
Environmental Sciences & Ecology
IDS Number:
DP9LI
Unique ID:
WOS:000378817300024
PubMed ID:
27189448
Cited References:
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Zhang Xiao-jian, 2010, JOURNAL OF HAZARDOUS MATERIALS, V182, P130
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Title:
Using h-cores to study the most-cited articles of the twenty-first century
Authors:
Sanz-Casado, E; Garcia-Zorita, C; Rousseau, R
Author Full Names:
Sanz-Casado, Elias; Garcia-Zorita, Carlos; Rousseau, Ronald
Source:
SCIENTOMETRICS, 108 (1):243-261; 10.1007/s11192-016-1956-8 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Most cited, h-Index, Cores, Indicators, Lorenz curve, Twenty-first century, h-Core scores, Rankings
KeyWords Plus:
POSITIVE REINFORCEMENT; SCIENCE; IMPACT; CHINA; MODEL
Abstract:
The aim of this paper is to collect the most-cited articles of the
twenty-first century and to study how this group changed over time. Here
the term "most-cited" is operationalized by considering yearly h-cores
in the Web of Science. These h-cores are analysed in terms of authors,
research areas, countries, institutions, journals and average number of
authors per paper. We only consider publications of article or
proceedings type. The research of some of the more prolific authors is
on genetics and genomes publishing in multidisciplinary journals, such
as Nature and Science, while the results show that writing a software
tool for crystallography or molecular biology may help collecting large
numbers of citations. English is the language of all articles in any
h-core. The core institutions are largely those best placed in most
rankings of world universities. Some attention is given on the relation
between h-core articles and the information sciences. We further
introduce the notions of h-core scores and h-core score per publication,
leading to new rankings of countries. We conclude by stating that the
notions of h-cores and h-core scores provide a new perspective on
leading countries, articles and scientists.
Reprint Address:
Rousseau, R (reprint author), Katholieke Univ Leuven, Dept Math, Celestijnenlaan 200B, B-3000 Heverlee, Belgium.Rousseau, R (reprint author), Univ Antwerp, IBW, B-2000 Antwerp, Belgium.
Addresses:
[Sanz-Casado, Elias; Garcia-Zorita, Carlos] Univ Carlos III Madrid, Dept Lib & Informat Sci, Lab Metr Studies Informat LEMI, C Madrid 126, Madrid 28903, Spain.
[Sanz-Casado, Elias; Garcia-Zorita, Carlos] Autonomous Univ Madrid, Univ Carlos III Madrid, Res Inst Higher Educ & Sci INAECU, C Madrid 126, Madrid 28903, Spain.
[Rousseau, Ronald] Katholieke Univ Leuven, Dept Math, Celestijnenlaan 200B, B-3000 Heverlee, Belgium.
[Rousseau, Ronald] Univ Antwerp, IBW, B-2000 Antwerp, Belgium.
E-mail Addresses:
elias at bib.uc3m.es; czorita at bib.uc3m.es; ronald.rousseau at kuleuven.be
Funding Acknowledgement:
NSFC [71573225]
Funding Text:
The authors thank Raf Guns (University of Antwerp) and ISSI reviewers for helpful comments. Work by RR is supported by NSFC Project number 71573225.
Cited Reference Count:
36
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500012
Cited References:
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Zhou P., 2008, ISSI Newsletter, V4, P7
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Title:
Interpreting correlations between citation counts and other indicators
Authors:
Thelwall, M
Author Full Names:
Thelwall, Mike
Source:
SCIENTOMETRICS, 108 (1):337-347; 10.1007/s11192-016-1973-7 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Citation analysis, Correlation, Altmetrics, Indicators, Discretised lognormal, Simulation
KeyWords Plus:
POWER-LAW DISTRIBUTIONS; SCIENTIFIC IMPACT; WEB INDICATORS; COLLABORATION; ARTICLES; PUBLICATION; ALTMETRICS; REGRESSION; KNOWLEDGE; SCIENCES
Abstract:
Altmetrics or other indicators for the impact of academic outputs are
often correlated with citation counts in order to help assess their
value. Nevertheless, there are no guidelines about how to assess the
strengths of the correlations found. This is a problem because the
correlation strength affects the conclusions that should be drawn. In
response, this article uses experimental simulations to assess the
correlation strengths to be expected under various different conditions.
The results show that the correlation strength reflects not only the
underlying degree of association but also the average magnitude of the
numbers involved. Overall, the results suggest that due to the number of
assumptions that must be made, in practice it will rarely be possible to
make a realistic interpretation of the strength of a correlation
coefficient.
Reprint Address:
Thelwall, M (reprint author), Wolverhampton Univ, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1ST, W Midlands, England.
Addresses:
[Thelwall, Mike] Wolverhampton Univ, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1ST, W Midlands, England.
E-mail Addresses:
m.thelwall at wlv.ac.uk
Cited Reference Count:
48
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500018
Cited References:
Ahlgren Per, 2014, JOURNAL OF INFORMETRICS, V8, P985
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*Order Full Text [ ]
Title:
Beyond the Impact Factor: measuring the international visibility of Romanian social sciences journals
Authors:
Andrei, T; Teodorescu, D; Mirica, A
Author Full Names:
Andrei, Tudorel; Teodorescu, Daniel; Mirica, Andreea
Source:
SCIENTOMETRICS, 108 (1):1-20; 10.1007/s11192-016-1949-7 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Research, Social sciences, Quality, Journal Impact Factor, Citations
KeyWords Plus:
SCIENTIFIC COLLABORATION; CITATION COUNTS; SELF-CITATIONS; PUBLICATION; NANOTECHNOLOGY; CHEMISTRY; PATTERNS
Abstract:
The purpose of this paper is to assess the degree of international
visibility for the Romanian scientific social sciences journals included
in the Institute for Scientific Information (ISI) database. By examining
the national distribution of authors and the proportion of co-authorship
within and outside Romania, the paper proposes the use of the Theil
Index and its decomposition as a tool to assess international
visibility. Although there are 10 ISI social sciences journals in
Romania, the international visibility of these journals is relatively
low; the number of foreign authors as a percentage of the total number
of authors remains below 30 % for most journals. There is a high degree
of geographic concentration for the foreign authors, as most come from
two countries. Regression models also indicate that the number of
authors from the same institution as the one that issues the journal
affects significantly a journal's Impact Factor. The number of articles
authored exclusively by mixed teams (including authors from the same
institution that issues the journal and authors from abroad or authors
from other Romanian institutions) as a percentage of the total number of
articles published is extremely low (8 %). This suggests that the Impact
Factor, when used as a measure of research quality for the Romanian
social sciences journals, may create bias in the judgement of those
interpreting the results of the Impact Factor rankings, favoring
insularity at the expense of scientific collaboration.
Reprint Address:
Teodorescu, D (reprint author), Reinhardt Univ, Waleska, GA USA.
Addresses:
[Andrei, Tudorel; Mirica, Andreea] Bucharest Univ Econ Studies, Bucharest, Romania.
[Teodorescu, Daniel] Reinhardt Univ, Waleska, GA USA.
E-mail Addresses:
andrei.tudorel at csie.ase.ro; dt1 at reinhardt.edu; miricaandreea89 at gmail.com
Cited Reference Count:
38
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500001
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*Order Full Text [ ]
Title:
Use of dissertation data in science policy research
Authors:
Morichika, N; Shibayama, S
Author Full Names:
Morichika, Noriyuki; Shibayama, Sotaro
Source:
SCIENTOMETRICS, 108 (1):221-241; 10.1007/s11192-016-1962-x JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Ph.D. training, Dissertation, Science policy, Academic training, Higher education, Academic research, Inequality, Funding, STEM
KeyWords Plus:
RESEARCH FIELDS; UNIVERSITY; PRODUCTIVITY; PERFORMANCE; SYSTEMS; IMPACT
Abstract:
Although the contribution of scientometric literature to policies on
academic science has been substantial, the literature has focused
primarily on the production of scientific knowledge, whereas limited
attention has been paid to the other critical mission of academic
institutions, i.e., education or the production of scientists. To
address this limitation and better inform policymakers, the current
study proposes a new approach drawing on Ph.D. dissertation data, which
we believe should open up a new avenue of scientometric research.
Integrating dissertation data with more traditional types of
scientometric data such as publications and careers, this study presents
a case study of the Japanese science system investigating its transition
since the 1970s.
Reprint Address:
Shibayama, S (reprint author), Univ Tokyo, Dept Technol Management Innovat, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan.Shibayama, S (reprint author), Univ Tokyo, Res Ctr Adv Sci & Technol, Meguro Ku, 4-6-1 Komaba, Tokyo 1538904, Japan.
Addresses:
[Morichika, Noriyuki; Shibayama, Sotaro] Univ Tokyo, Dept Technol Management Innovat, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan.
[Shibayama, Sotaro] Univ Tokyo, Res Ctr Adv Sci & Technol, Meguro Ku, 4-6-1 Komaba, Tokyo 1538904, Japan.
E-mail Addresses:
shibayama at 00.alumni.u-tokyo.ac.jp
Funding Acknowledgement:
Hoansha Foundation Fellowship; Inamori Foundation; Japan Society for the Promotion of Science [24710160]
Funding Text:
This work is supported by Hoansha Foundation Fellowship, Inamori Foundation, and the Japan Society for the Promotion of Science under Grant-in-Aid for Encouragement of Young Scientists (B) #24710160.
Cited Reference Count:
41
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0138-9130
eISSN:
1588-2861
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP8WB
Unique ID:
WOS:000378777500011
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*Order Full Text [ ]
Title:
Exploiting Heterogeneous Scientific Literature Networks to Combat Ranking Bias: Evidence From the Computational Linguistics Area
Authors:
Jiang, XR; Sun, XP; Yang, Z; Hai, ZG; Yao, JM
Author Full Names:
Jiang, Xiaorui; Sun, Xiaoping; Yang, Zhe; Hai Zhuge; Yao, Jianmin
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 67 (7):1679-1702; 10.1002/asi.23463 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
bibliometrics
KeyWords Plus:
CITATION ANALYSIS; PAGERANK; JOURNALS; IMPACT; AUTHORS; SEARCH; INDEX
Abstract:
It is important to help researchers find valuable papers from a large
literature collection. To this end, many graph-based ranking algorithms
have been proposed. However, most of these algorithms suffer from the
problem of ranking bias. Ranking bias hurts the usefulness of a ranking
algorithm because it returns a ranking list with an undesirable time
distribution. This paper is a focused study on how to alleviate ranking
bias by leveraging the heterogeneous network structure of the literature
collection. We propose a new graph-based ranking algorithm, MutualRank,
that integrates mutual reinforcement relationships among networks of
papers, researchers, and venues to achieve a more synthetic, accurate,
and less-biased ranking than previous methods. MutualRank provides a
unified model that involves both intra- and inter-network information
for ranking papers, researchers, and venues simultaneously. We use the
ACL Anthology Network as the benchmark data set and construct the gold
standard from computer linguistics course websites of well-known
universities and two well-known textbooks. The experimental results show
that MutualRank greatly outperforms the state-of-the-art competitors,
including PageRank, HITS, CoRank, Future Rank, and P-Rank, in ranking
papers in both improving ranking effectiveness and alleviating ranking
bias. Rankings of researchers and venues by MutualRank are also quite
reasonable.
Reprint Address:
Jiang, XR (reprint author), Zhejiang Univ Technol, Sch Informat Engn, 288 Liuhe Rd, Hangzhou 310023, Zhejiang, Peoples R China.
Addresses:
[Jiang, Xiaorui] Zhejiang Univ Technol, Sch Informat Engn, 288 Liuhe Rd, Hangzhou 310023, Zhejiang, Peoples R China.
[Sun, Xiaoping; Hai Zhuge] Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, 6 Kexueyuan South Rd, Beijing 100190, Peoples R China.
[Yang, Zhe] Zhejiang Univ, Dept Informat Sci & Elect Engn, 37 Zheda Rd, Hangzhou 310007, Zhejiang, Peoples R China.
[Hai Zhuge] Aston Univ, Birmingham B4 7ET, W Midlands, England.
[Yao, Jianmin] Soochow Univ, Sch Comp Sci & Technol, 1 Shizi Rd, Suzhou 215006, Peoples R China.
E-mail Addresses:
xiaoruijiang at gmail.com; sunxp at kg.ict.ac.cn; zheyang at 163.com; zhuge at ict.ac.cn; jyao at suda.edu.cn
Funding Acknowledgement:
National Science Foundation of Zhejiang Province [LY14F020016, LR14F020002]; National Science Foundation of China [1402412, K111818612]
Funding Text:
This work was partially supported by National Science Foundation of Zhejiang Province (LY14F020016, LR14F020002) and China (61402412, K111818612). Thanks go to Prof. Yang Liu at Tsinghua University. The authors also thank Dr. Sayyadi at Maryland University, Dr. Erjia Yan at Indiana University, and Mr. Ruiqing Xue at Jilin University for discussions on several ranking problems.
Cited Reference Count:
55
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
2330-1635
eISSN:
2330-1643
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP6YB
Unique ID:
WOS:000378644700010
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Title:
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
Authors:
Ibanez, A; Armananzas, R; Bielza, C; Larranaga, P
Author Full Names:
Ibanez, Alfonso; Armananzas, Ruben; Bielza, Concha; Larranaga, Pedro
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 67 (7):1703-1721; 10.1002/asi.23467 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
machine learning, predictive models, bibliometrics
KeyWords Plus:
H-INDEX; CONTROL PARAMETERS; IMPACT MEASURES; HIRSCH INDEX; INDICATORS; MODELS; IDENTIFICATION; OPTIMIZATION; JOURNALS; PEERS
Abstract:
The diversity of bibliometric indices today poses the challenge of
exploiting the relationships among them. Our research uncovers the best
core set of relevant indices for predicting other bibliometric indices.
An added difficulty is to select the role of each variable, that is,
which bibliometric indices are predictive variables and which are
response variables. This results in a novel multioutput regression
problem where the role of each variable (predictor or response) is
unknown beforehand. We use Gaussian Bayesian networks to solve the this
problem and discover multivariate relationships among bibliometric
indices. These networks are learnt by a genetic algorithm that looks for
the optimal models that best predict bibliometric data. Results show
that the optimal induced Gaussian Bayesian networks corroborate previous
relationships between several indices, but also suggest new, previously
unreported interactions. An extended analysis of the best model
illustrates that a set of 12 bibliometric indices can be accurately
predicted using only a smaller predictive core subset composed of
citations, g-index, q(2)-index, and h(r)-index. This research is
performed using bibliometric data on Spanish full professors associated
with the computer science area.
Reprint Address:
Ibanez, A (reprint author), Univ Politecn Madrid, Computat Intelligence Grp, Dept Inteligencia Artificial, Campus Montegancedo S-N, Boadilla Del Monte 28660, Spain.
Addresses:
[Ibanez, Alfonso; Bielza, Concha; Larranaga, Pedro] Univ Politecn Madrid, Computat Intelligence Grp, Dept Inteligencia Artificial, Campus Montegancedo S-N, Boadilla Del Monte 28660, Spain.
[Armananzas, Ruben] George Mason Univ, Krasnow Inst Adv Study, 4400 Univ Dr, Fairfax, VA 22030 USA.
E-mail Addresses:
fonsoim at gmail.com; rarmanan at gmu.edu; mcbielza at fi.upm.es; plarranaga at fi.upm.es
Funding Acknowledgement:
Spanish Ministry of Economy and Competitiveness [TIN2013-41592-P]; Cajal Blue Brain Project (Spanish partner of the Blue Brain Project initiative from EPFL); National Institutes of Health (NINDS) [R01 NS39600]
Funding Text:
Research partially supported by the Spanish Ministry of Economy and Competitiveness (grant no. TIN2013-41592-P) and the Cajal Blue Brain Project (Spanish partner of the Blue Brain Project initiative from EPFL). R.A. is currently supported by grant R01 NS39600 from the National Institutes of Health (NINDS).
Cited Reference Count:
89
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
2330-1635
eISSN:
2330-1643
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DP6YB
Unique ID:
WOS:000378644700011
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Title:
Exploring the h-type measure and its theoretical model in the context of e-commerce
Authors:
Shao, BJ; Xiao, F; Zhao, SX
Author Full Names:
Shao, Bingjia; Xiao, Feng; Zhao, Star X.
Source:
CURRENT SCIENCE, 110 (12):2276-2280; 10.18520/cs/v110/i12/2276-2280 JUN 25 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliometric measures, e-commerce, h-index, popularity index
KeyWords Plus:
HIRSCH-TYPE INDEXES; WEIGHTED NETWORKS; CONSUMERS; IMPACT; CORE; INTENTIONS; JOURNALS; REVIEWS; TRUST
Abstract:
The aim of this study is to find whether the h-index and
Schubert-Glanzel model which was originally used in bibliometrics can
work in the broader social and information systems, such as e-commerce.
This study introduces the popularity index (h(P)) to profile on-line
sellers and products and tests the accuracy of the Schubert-Glanzel
model of the h(P) index using the Levenberg-Marquardt algorithm. The
h(P) index was tested on Taobao, a leading Chinese e-commerce
marketplace. About 300 products on Taobao were randomly selected from 10
categories of the most popular on-line products as samples for this
study. It was found that h(P) is consistent with the Schubert-Glanzel
model the h-index. This shows that the existing theoretical bibliometric
model which was originally used in the scientific literature, could be
helpful in the broader social or information systems.
Reprint Address:
Zhao, SX (reprint author), East China Normal Univ, Fac Econ & Management, Dept Informat Management, Shanghai 200241, Peoples R China.
Addresses:
[Shao, Bingjia; Xiao, Feng] Chongqing Univ, Sch Econ & Business Adm, Chongqing 400030, Peoples R China.
[Zhao, Star X.] East China Normal Univ, Fac Econ & Management, Dept Informat Management, Shanghai 200241, Peoples R China.
E-mail Addresses:
xzhao at infor.ecnu.edu.cn
Funding Acknowledgement:
Key Project of National Social Science Fund of China [14AGL023]; National Natural Science Foundation of China [71503083]
Funding Text:
We acknowledge financial support from the Key Project of National Social Science Fund of China (No. 14AGL023) and National Natural Science Foundation of China (No. 71503083).
Cited Reference Count:
39
Times Cited:
0
Publisher:
INDIAN ACAD SCIENCES, C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA
ISSN:
0011-3891
Web of Science Categories:
Multidisciplinary Sciences
Research Areas:
Science & Technology - Other Topics
IDS Number:
DQ0VA
Unique ID:
WOS:000378918600018
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Title:
BIBLIOMETRIC OVERVIEW OF BUSINESS & ECONOMICS RESEARCH
Authors:
Merigo, JM; Rocafort, A; Aznar-Alarcon, JP
Author Full Names:
Merigo, Jose M.; Rocafort, Alba; Pedro Aznar-Alarcon, Juan
Source:
JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, 17 (3):397-413; 10.3846/16111699.2013.807868 JUN 2016
Language:
English
Document Type:
Article
Author Keywords:
bibliometrics, economics, business, Web of Science, journals, universities, countries
KeyWords Plus:
CITATION ANALYSIS; KNOWLEDGE-BASE; JOURNALS; IMPACT; MANAGEMENT; INFORMETRICS; PRODUCTIVITY; 21ST-CENTURY; METHODOLOGY; RANKINGS
Abstract:
Bibliometrics is the quantitative study of bibliographic information. It
classifies the information according to different criteria including
authors, journals, institutions and countries. This paper presents a
general bibliometric overview of the most influential research in
business & economics according to the information found in the Web of
Science. It includes research from different subcategories including
business, business finance, economics and management. For doing so, four
general lists are presented: the 50 most cited papers in business &
economics of all time, the 40 most influential journals, the 40 most
relevant institutions and the most influential countries. The results
permit to obtain a general picture of the most significant research in
business & economics. This information is very useful in order to
identify the leading trends in this area.
Reprint Address:
Merigo, JM (reprint author), Univ Manchester, Manchester Business Sch, Booth St West, Manchester M15 6PB, Lancs, England.Merigo, JM (reprint author), Univ Chile, Dept Management Control & Informat Syst, Ave Diagonal Paraguay 257, Santiago 8330015, Chile.
Addresses:
[Merigo, Jose M.] Univ Manchester, Manchester Business Sch, Booth St West, Manchester M15 6PB, Lancs, England.
[Merigo, Jose M.] Univ Chile, Dept Management Control & Informat Syst, Ave Diagonal Paraguay 257, Santiago 8330015, Chile.
[Rocafort, Alba] Univ Manchester, Sch Social Sci, Manchester M15 6PB, Lancs, England.
[Pedro Aznar-Alarcon, Juan] ESADE Business Sch, Ave Pedralbes 60-62, Barcelona 08034, Spain.
E-mail Addresses:
jmerigo at fen.uchile.cl
Funding Acknowledgement:
European Commission [PIEF-GA-2011-300062]
Funding Text:
We thank the editors and the anonymous reviewers for valuable comments that have improved the quality of the paper. Support from the European Commission through the project PIEF-GA-2011-300062 is gratefully acknowledged.
Cited Reference Count:
29
Times Cited:
0
Publisher:
VILNIUS GEDIMINAS TECH UNIV, SAULETEKIO AL 11, VILNIUS, LT-10223, LITHUANIA
ISSN:
1611-1699
eISSN:
2029-4433
Web of Science Categories:
Business; Economics
Research Areas:
Business & Economics
IDS Number:
DP9KL
Unique ID:
WOS:000378815000005
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Title:
THE NEXT BIBLIOMETRICS: ALMETRICS (AUTHOR LEVEL METRICS) AND THE MULTIPLE FACES OF AUTHOR IMPACT
Authors:
Orduna-Malea, E; Martin-Martin, A; Delgado-Lopez-Cozar, E
Author Full Names:
Orduna-Malea, Enrique; Martin-Martin, Alberto; Delgado-Lopez-Cozar,
Emilio
Source:
PROFESIONAL DE LA INFORMACION, 25 (3):485-496; 10.3145/epi.2016.may.18 MAY-JUN 2016
Language:
English
Document Type:
Article
Author Keywords:
ALMetrics, Author-level metrics, Altmetrics, Scientific evaluation, Social academic networks, Bibliometrics
KeyWords Plus:
INDICATORS
Abstract:
The main goal of this article is to describe the purpose and content of
a new branch of bibliometrics: ALMetrics (Author-Level Metrics).
ALMetrics is focused on the quantitative analysis of an author's
performance by measuring the dimensions of their intellectual activity
as shown through varied metric indicators. This article will list,
define, and classify the different metrics that are offered in newer
information portals that showcase the scientific activity of authors.
These metrics are grouped into five sets: bibliometrics (publication and
citation), usage, participation, rating, social connectivity, and
composite indicators. This new bibliometric specialty is necessary
because of new trends in scientific assessment, which have moved
analysis away from old bibliometrics (based on journal analysis and
Impact Factor) towards new bibliometrics that analyze both documents and
authors via a mix of indicators. Most importantly, ALMetrics responds to
the researchers' desire for both knowledge and acknowledgement.
Reprint Address:
Orduna-Malea, E (reprint author), Univ Politecn Valencia, Fac Informat, Cami Vera S-N, Valencia 46020, Spain.
Addresses:
[Orduna-Malea, Enrique] Univ Politecn Valencia, Fac Informat, Cami Vera S-N, Valencia 46020, Spain.
[Martin-Martin, Alberto; Delgado-Lopez-Cozar, Emilio] Univ Granada, Fac Comunicac & Documentac, Campus Cartuja S-N, E-18071 Granada, Spain.
E-mail Addresses:
enorma at upv.es; albertomartin at ugr.es; edelgado at ugr.es
Cited Reference Count:
24
Times Cited:
0
Publisher:
EPI, APARTADO 32 280, BARCELONA, 08080, SPAIN
ISSN:
1386-6710
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DP6QC
Unique ID:
WOS:000378621400018
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Title:
A Bibliometric Analysis of Health and Medical Journals: Issues in Medical Scholarly Communication in Africa
Authors:
Ezema, IJ; Onyancha, OB
Author Full Names:
Ezema, Ifeanyi J.; Onyancha, Omwoyo Bosire
Source:
SERIALS REVIEW, 42 (2):116-128; 10.1080/00987913.2016.1182881 2016
Language:
English
Document Type:
Article
Author Keywords:
Africa, bibliometrics, citation analysis, health and medical journals, health research, informetrics, journal evaluation
KeyWords Plus:
TROPICAL-MEDICINE; CITATION ANALYSIS; HIV/AIDS RESEARCH; IMPACT; PRODUCTIVITY; KNOWLEDGE; PATTERNS; TRENDS
Abstract:
The study was conducted to examine the scholarly impact of health and
medical journals in Africa. A descriptive informetric research approach
was used to analyze 134 health and medical journals hosted in the
African Journal Online (AJOL) database. Harzing's Publish or Perish
(PoP) software was used to extract publication and citation indicators
of the journals. These indicators include number of citations, number of
paper publications, cites per year, cites per paper, and the h-index of
the journals. The performance of the journals was equally examined in
other major databases like Thomson Reuters and Scopus. Findings reveal
that only 20 African countries contributed health and medical journals
to the AJOL database, with Nigeria and South Africa producing nearly 70%
of the journals. A ranked list of 29 journals was developed, with South
African Medical Journal and African Health Sciences ranking highest in
the list, respectively. Only 14 of the journals were found in Thompson
Reuters, while Scopus indexes only 38.8% of the journals. These findings
challenge the criteria Thompson Reuters and Scopus use in the selection
of journals for their databases.
Reprint Address:
Ezema, IJ (reprint author), Univ Nigeria, Nnamdi Azikiwe Lib, Nsukka, Nigeria.
Addresses:
[Ezema, Ifeanyi J.] Univ Nigeria, Nnamdi Azikiwe Lib, Nsukka, Nigeria.
[Ezema, Ifeanyi J.; Onyancha, Omwoyo Bosire] Univ S Africa, Dept Informat Sci, ZA-0001 Pretoria, South Africa.
E-mail Addresses:
ifeanyi.ezema at unn.edu.ng
Cited Reference Count:
64
Times Cited:
0
Publisher:
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
ISSN:
0098-7913
eISSN:
1879-095X
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DP8LR
Unique ID:
WOS:000378750100005
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Title:
Mendeley Readership Altmetrics for Medical Articles: An Analysis of 45 Fields
Authors:
Thelwall, M; Wilson, P
Author Full Names:
Thelwall, Mike; Wilson, Paul
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 67 (8):1962-1972; 10.1002/asi.23501 AUG 2016
Language:
English
Document Type:
Article
KeyWords Plus:
LIKELIHOOD RATIO; CITATIONS; WEB; METRICS; IMPACT; F1000; DISTRIBUTIONS; HYPOTHESES
Abstract:
Medical research is highly funded and often expensive and so is
particularly important to evaluate effectively. Nevertheless, citation
counts may accrue too slowly for use in some formal and informal
evaluations. It is therefore important to investigate whether
alternative metrics could be used as substitutes. This article assesses
whether one such altmetric, Mendeley readership counts, correlates
strongly with citation counts across all medical fields, whether the
relationship is stronger if student readers are excluded, and whether
they are distributed similarly to citation counts. Based on a sample of
332,975 articles from 2009 in 45 medical fields in Scopus, citation
counts correlated strongly (about 0.7; 78% of articles had at least one
reader) with Mendeley readership counts (from the new version 1
applications programming interface [API]) in almost all fields, with one
minor exception, and the correlations tended to decrease slightly when
student readers were excluded. Readership followed either a lognormal or
a hooked power law distribution, whereas citations always followed a
hooked power law, showing that the two may have underlying differences.
Reprint Address:
Thelwall, M (reprint author), Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England.
Addresses:
[Thelwall, Mike; Wilson, Paul] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England.
E-mail Addresses:
m.thelwall at wlv.ac.uk; PaulJWilson at wlv.ac.uk
Cited Reference Count:
60
Times Cited:
4
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
2330-1635
eISSN:
2330-1643
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DR6WY
Unique ID:
WOS:000380043200014
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Title:
Constructing Conceptual Trajectory Maps to Trace the Development of Research Fields
Authors:
Tu, YN; Hsu, SL
Author Full Names:
Tu, Yi-Ning; Hsu, Shu-Lan
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 67 (8):2016-2031; 10.1002/asi.23522 AUG 2016
Language:
English
Document Type:
Article
KeyWords Plus:
MAIN-PATH-ANALYSIS; INFORMATION; RETRIEVAL; CITATIONS; NETWORKS; JOURNALS; EXAMPLE; INDEX
Abstract:
This study proposes a new method to construct and trace the trajectory
of conceptual development of a research field by combining main path
analysis, citation analysis, and text-mining techniques. Main path
analysis, a method used commonly to trace the most critical path in a
citation network, helps describe the developmental trajectory of a
research field. This study extends the main path analysis method and
applies text-mining techniques in the new method, which reflects the
trajectory of conceptual development in an academic research field more
accurately than citation frequency, which represents only the articles
examined. Articles can be merged based on similarity of concepts, and by
merging concepts the history of a research field can be described more
precisely. The new method was applied to the "h-index" and "text mining"
fields. The precision, recall, and F-measures of the h-index were 0.738,
0.652, and 0.658 and those of text-mining were 0.501, 0.653, and 0.551,
respectively. Last, this study not only establishes the conceptual
trajectory map of a research field, but also recommends keywords that
are more precise than those used currently by researchers. These precise
keywords could enable researchers to gather related works more quickly
than before.
Reprint Address:
Tu, YN (reprint author), Fu Jen Catholic Univ, Coll Management, Dept Stat & Informat Sci, 510 Zhongzheng Rd, New Taipei 24205, Taiwan.
Addresses:
[Tu, Yi-Ning; Hsu, Shu-Lan] Fu Jen Catholic Univ, Coll Management, Dept Stat & Informat Sci, 510 Zhongzheng Rd, New Taipei 24205, Taiwan.
E-mail Addresses:
eniddu at gmail.com; mayday780118 at hotmail.com
Funding Acknowledgement:
Taiwan's Ministry of Science and Technology [MOST 102-2410-H-030-075, 101-2410-H-030-004]
Funding Text:
We thank the editor and two anonymous reviewers for their constructive comments, which have greatly improved the readability and quality of this article. This research is partially supported by Taiwan's Ministry of Science and Technology Grants MOST 102-2410-H-030-075 and 101-2410-H-030-004.
Cited Reference Count:
42
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
2330-1635
eISSN:
2330-1643
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DR6WY
Unique ID:
WOS:000380043200018
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Title:
The evolution of peer review as a basis for scientific publication: directional selection towards a robust discipline?
Authors:
Ferreira, C; Bastille-Rousseau, G; Bennett, AM; Ellington, EH;
Terwissen, C; Austin, C; Borlestean, A; Boudreau, MR; Chan, K; Forsythe,
A; Hossie, TJ; Landolt, K; Longhi, J; Otis, JA; Peers, MJL; Rae, J;
Seguin, J; Watt, C; Wehtje, M; Murray, DL
Author Full Names:
Ferreira, Catarina; Bastille-Rousseau, Guillaume; Bennett, Amanda M.;
Ellington, E. Hance; Terwissen, Christine; Austin, Cayla; Borlestean,
Adrian; Boudreau, Melanie R.; Chan, Kevin; Forsythe, Adrian; Hossie,
Thomas J.; Landolt, Kristen; Longhi, Jessica; Otis, Josee-Anne; Peers,
Michael J. L.; Rae, Jason; Seguin, Jacob; Watt, Cristen; Wehtje, Morgan;
Murray, Dennis L.
Source:
BIOLOGICAL REVIEWS, 91 (3):597-610; 10.1111/brv.12185 AUG 2016
Language:
English
Document Type:
Article
Author Keywords:
peer review, maladaptation, structural flaws, long-term solutions, critique
KeyWords Plus:
REVOLUTION; FUTURE
Abstract:
Peer review is pivotal to science and academia, as it represents a
widely accepted strategy for ensuring quality control in scientific
research. Yet, the peer-review system is poorly adapted to recent
changes in the discipline and current societal needs. We provide
historical context for the cultural lag that governs peer review that
has eventually led to the system's current structural weaknesses
(voluntary review, unstandardized review criteria, decentralized
process). We argue that some current attempts to upgrade or otherwise
modify the peer-review system are merely sticking-plaster solutions to
these fundamental flaws, and therefore are unlikely to resolve them in
the long term. We claim that for peer review to be relevant, effective,
and contemporary with today's publishing demands across scientific
disciplines, its main components need to be redesigned. We propose
directional changes that are likely to improve the quality, rigour, and
timeliness of peer review, and thereby ensure that this critical process
serves the community it was created for.
Reprint Address:
Ferreira, C (reprint author), Trent Univ, Dept Biol, 1600 West Bank Dr, Peterborough, ON K9J 7B8, Canada.Ferreira, C (reprint author), Univ Porto, InBIO Res Network Biodivers & Evolutionary Biol, CIBIO, Campus Vairao,Rua Padre Armando Quintas, P-4485661 Vairao, Portugal.Ferreira, C (reprint author), UCLM, CSIC, JCCM, Inst Invest Recursos Cineget IREC, Ronda Toledo S-N, Ciudad Real 13071, Spain.
Addresses:
[Ferreira, Catarina; Bastille-Rousseau, Guillaume; Bennett, Amanda M.; Ellington, E. Hance; Terwissen, Christine; Austin, Cayla; Borlestean, Adrian; Boudreau, Melanie R.; Chan, Kevin; Forsythe, Adrian; Hossie, Thomas J.; Landolt, Kristen; Longhi, Jessica; Otis, Josee-Anne; Peers, Michael J. L.; Rae, Jason; Seguin, Jacob; Watt, Cristen; Wehtje, Morgan; Murray, Dennis L.] Trent Univ, Dept Biol, 1600 West Bank Dr, Peterborough, ON K9J 7B8, Canada.
[Ferreira, Catarina] Univ Porto, InBIO Res Network Biodivers & Evolutionary Biol, CIBIO, Campus Vairao,Rua Padre Armando Quintas, P-4485661 Vairao, Portugal.
[Ferreira, Catarina] UCLM, CSIC, JCCM, Inst Invest Recursos Cineget IREC, Ronda Toledo S-N, Ciudad Real 13071, Spain.
E-mail Addresses:
catferreira at gmail.com
Funding Acknowledgement:
Natural Sciences and Engineering Research Council (Canada); Canada Research Chairs program; Fundacao para a Ciencia e Tecnologia of the Ministerio da Ciencia, Tecnologia e Ensino Superior, Portuguese government [SFRH/BPD/88643/2012]; European Union [PIOF-GA-2013-621571]
Funding Text:
All authors were supported by grants to D.L.M. from the Natural Sciences and Engineering Research Council (Canada) and the Canada Research Chairs program; C.F. was additionally funded by a Post-Doctoral grant (Ref. SFRH/BPD/88643/2012) from the Fundacao para a Ciencia e Tecnologia of the Ministerio da Ciencia, Tecnologia e Ensino Superior, Portuguese government, and by a Marie Curie Outgoing International Fellowship for Career Development (PIOF-GA-2013-621571) within the 7th Framework Programme of the European Union.<SUP>1</SUP>
Cited Reference Count:
78
Times Cited:
1
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
1464-7931
eISSN:
1469-185X
Web of Science Categories:
Biology
Research Areas:
Life Sciences & Biomedicine - Other Topics
IDS Number:
DR5ER
Unique ID:
WOS:000379926500003
PubMed ID:
25865035
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Title:
A Citation Analysis of Business Ethics Research: A Global Perspective
Authors:
Chan, KC; Fung, A; Fung, HG; Yau, J
Author Full Names:
Chan, Kam C.; Fung, Anna; Fung, Hung-Gay; Yau, Jot
Source:
JOURNAL OF BUSINESS ETHICS, 136 (3):557-573; 10.1007/s10551-014-2533-9 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Business ethics journal ranking, School ranking, Global pattern of business ethics research
KeyWords Plus:
FINANCIAL RESEARCH; GOOGLE SCHOLAR; RANKINGS; JOURNALS; INDEX; PRODUCTIVITY; PROGRAMS; FACULTY; FIELD
Abstract:
This study provides a global perspective on citations of articles
published in ten business ethics journals between 1999 and 2012 and
establishes three findings. First, the results indicate that Journal of
Business Ethics and Business and Society are the two top business ethics
journals based on the distribution of normalized citations received.
Second, although North America, particularly the US, remains the top
producer of business ethics research, it has been surpassed by Europe in
terms of weighted normalized research citations received in 2012,
implying a potential diminishing global role of US influence in business
ethics research over time. Third, the top-ranked US institutions have
reduced their business ethics research impact in recent years, while the
European institutions have sharply increased theirs.
Reprint Address:
Chan, KC (reprint author), Western Kentucky Univ, Dept Finance, Bowling Green, KY 42101 USA.
Addresses:
[Chan, Kam C.] Western Kentucky Univ, Dept Finance, Bowling Green, KY 42101 USA.
[Fung, Anna] Univ Washington, Dept Management & Org Behav, Seattle, WA 98195 USA.
[Fung, Hung-Gay] Univ Missouri, Coll Business Adm, 1 Univ Blvd, St Louis, MO 63121 USA.
[Yau, Jot] Seattle Univ, Albers Sch Business & Econ, 901 12th Ave, Seattle, WA 98122 USA.
E-mail Addresses:
johnny.chan at wku.edu; annafung at uw.edu; fungh at msx.umsl.edu; jyau at seattleu.edu
Cited Reference Count:
35
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0167-4544
eISSN:
1573-0697
Web of Science Categories:
Business; Ethics
Research Areas:
Business & Economics; Social Sciences - Other Topics
IDS Number:
DR6BO
Unique ID:
WOS:000379986300008
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Title:
Quick Evaluation of Research Impacts at Conferences using SNS
Authors:
Fukuda, S; Nakahashi, H; Nanba, H; Takezawa, T
Author Full Names:
Fukuda, Satoshi; Nakahashi, Hikaru; Nanba, Hidetsugu; Takezawa,
Toshiyuki
Edited by:
Spies M; Wagner RR; Tjoa AM
Source:
2015 26TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS (DEXA), 259-263; 10.1109/DEXA.2015.64 2015
Book Series:
International Workshop on Database and Expert Systems Applications-DEXA
Language:
English
Document Type:
Proceedings Paper
Conference Title:
26th International Workshop on Database and Expert Systems Applications (DEXA)
Conference Date:
SEP 01-04, 2015
Conference Location:
Valencia, SPAIN
Author Keywords:
component, Twitter, research paper, research impact
KeyWords Plus:
SCIENCE
Abstract:
We are investigating ways of evaluating research impact as soon as
possible after publication. Traditionally, the research impact or
importance of academic journals has been evaluated using citation
relations, such as the impact factor and the citation half-life.
However, these citation-based methods require long periods to evaluate
research impact and therefore are not suitable for evaluating the
current impact of research papers at conferences. To solve this problem,
we are studying the automatic evaluation of research impact using
Twitter. Researchers participating in academic conferences often post
their opinions or comments on Twitter. Here, research papers
(presentations) that have many comments are considered to be outstanding
and to have strong impact during the conference. In this paper, we
propose a method for automatically aligning tweets with research papers.
The procedure consists of the following three steps: (1) detecting
valuable tweets, (2) aligning each valuable tweet with a research paper,
and (3) calculating the research impact of each research paper by the
number of aligned tweets. We conducted some experiments to confirm the
effectiveness of our method. From the results, we obtained an MRR score
of 0.223, which outperformed a baseline method.
Reprint Address:
Fukuda, S (reprint author), Hiroshima City Univ, Grad Sch Informat Sci, Hiroshima, Japan.
Addresses:
[Fukuda, Satoshi; Nakahashi, Hikaru; Nanba, Hidetsugu; Takezawa, Toshiyuki] Hiroshima City Univ, Grad Sch Informat Sci, Hiroshima, Japan.
E-mail Addresses:
fukuda at ls.info.hiroshima-cu.ac.jp; nakahashi at ls.info.hiroshima-cu.ac.jp; nanba at ls.info.hiroshima-cu.ac.jp; takezawa at ls.info.hiroshima-cu.ac.jp
Cited Reference Count:
15
Times Cited:
0
Publisher:
IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
ISSN:
1529-4188
ISBN:
978-1-4673-7581-8
Web of Science Categories:
Computer Science, Information Systems
Research Areas:
Computer Science
IDS Number:
BF2ET
Unique ID:
WOS:000380461300043
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Title:
Literature Visualization and Similarity Measurement based on Citation Relations
Authors:
Alfraidi, H; Lee, WS; Sankoff, D
Author Full Names:
Alfraidi, Hanadi; Lee, Won-Sook; Sankoff, David
Edited by:
Banissi E; Bannatyne MWM; Bouali F; Burkhard R; Counsell J; Cvek U; Eppler MJ; Grinstein G; Huang WD; Kernbach S; Lin CC; Lin F; Marchese FT; Pun CM; Sarfraz M; Trutschl M; Ursyn A; Venturini G; Wyeld TG; Zhang JJ
Source:
2015 19TH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION IV 2015, 217-222; 10.1109/iV.2015.47 2015
Book Series:
IEEE International Conference on Information Visualisation
Language:
English
Document Type:
Proceedings Paper
Conference Title:
19th International Conference on Information Visualisation IV 2015
Conference Date:
JUL 22-24, 2015
Conference Location:
Barcelona, SPAIN
Conference Sponsors:
VIS, GMAI, BUILTVIZ, MEDIVIS, DArt
Author Keywords:
Information Retrieval, Information Visualization, Citation Network, Similarity Measures
Abstract:
While similar documents are, traditionally, found using Natural Language
Processing, we observe reference/citation information by authors
indicates better insight of similarity. Our system is to retrieve
publications from Google Scholar and visualize them as a 2D graph using
the citation relation, where the nodes represent the documents while the
links represent the citation/reference relation between them. We measure
the similarity score between each pair of papers based on both the
number of paths and the length of each path. More paths and shorter the
lengths higher the similarity score. We compared them with another
similarity scores from Scurtu's Document Similarity API [1] that uses
Natural Language Processing. We use the average of the similarity scores
collected from 15 users as a ground truth to determine how good the
scores from two methods are. The result shows that our citation network
approach gives better results than the ones by Scurtu's.
Reprint Address:
Alfraidi, H (reprint author), Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON, Canada.
Addresses:
[Alfraidi, Hanadi; Lee, Won-Sook; Sankoff, David] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON, Canada.
[Alfraidi, Hanadi] King Abdulaziz Univ, E Learning & Distance Educ, Jeddah, Saudi Arabia.
E-mail Addresses:
halfr040 at uottawa.ca; wslee at uottawa.ca; sankoff at uottawa.ca
Cited Reference Count:
17
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4673-7568-9
Web of Science Categories:
Computer Science, Theory & Methods; Engineering, Electrical & Electronic
Research Areas:
Computer Science; Engineering
IDS Number:
BF1IQ
Unique ID:
WOS:000380400400035
Cited References:
Chernobelskiy Roman, 2012, GRAPH DRAWING19th Symposium on Graph Drawing, SEP 21-23, 2011, Eindhoven, NETHERLANDS, V7034, P320
Shen Z., 2006, APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation, Darlinghurst,
SMITH LC, 1981, LIBRARY TRENDS, V30, P83
Bastian M., 2009, ICWSM, P361
Hua J., 2014, 18th International Conference on Information Visualisation (IV), Paris,
Scurtu V., Document Similarity,
Eck N. J. v., 2014, Proceedings of the First Workshop on Bibliometric-enhanced Information Retrieval, P13
Bostock Michael, 2011, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICSIEEE Visualization Conference (Vis)/IEEE Information Visualization Conference (InfoVis), OCT 23-28, 2011, Providence, RI, V17, P2301
Dunne Cody, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2351
Bellamy A., 2015, Force Layout,
Chou J. -K., 2011, COMPUTER GRAPHICS FORUM, V30, P721
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
KOBOUROV S. G., 2012, arXiv preprint arXiv:1201.3011,
Holten D., 2009, Force-Directed Edge Bundling for Graph Visualization, V28,
Dwyer Tim, 2007, Graph Drawing14th International Symposium on Graph Drawing, SEP 18-20, 2006, Karlsruhe, GERMANY, V4372, P8
Bannister M.J., 2013, Graph Drawing. 20th International Symposium, GD 2012. Revised Selected PapersGraph Drawing. 20th International Symposium, GD 2012, 19-21 Sept. 2012, Redmond, WA, USA,
Kreibich C., 2013, A parser for Google Scholar, written in Python,
========================================================================
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*Order Full Text [ ]
Title:
Accumulated Citation Count as Fertileness of Scientific Article
Authors:
Hirokawa, S; Nakatoh, T; Nakanishi, H
Author Full Names:
Hirokawa, Sachio; Nakatoh, Tetsuya; Nakanishi, Hayato
Edited by:
Arabnia HR; Deligiannidis L; Tran QN
Source:
2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 119-122; 10.1109/CSCI.2015.74 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
International Conference on Computational Science and Computational Intelligence (CSCI)
Conference Date:
DEC 07-09, 2015
Conference Location:
Las Vegas, NV
Conference Sponsors:
Amer Council on Sci & Educ
KeyWords Plus:
PERFORMANCE; SCIENCE; INDEX
Abstract:
The literature survey by scientific bibliographic data base is
indispensable in the research activities. We can find related articles
with appropriate keywords. However, the threads of related research are
not easy to grasp from the search result. It is necessary to repeat a
search, judge a citation relation and figure out the thread. The present
paper proposes the index "accumulated citation count" of a scientific
article to measure the thread of citations that starts from the article.
Reprint Address:
Hirokawa, S (reprint author), Kyushu Univ, Res Inst Informat Technol, Higashi Ku, Hakozaki 6-10-1, Fukuoka 8128581, Japan.
Addresses:
[Hirokawa, Sachio; Nakatoh, Tetsuya] Kyushu Univ, Res Inst Informat Technol, Higashi Ku, Hakozaki 6-10-1, Fukuoka 8128581, Japan.
[Nakanishi, Hayato] Kyushu Univ, Grad Sch Integrated Frontier Sci, Fukuoka 8128581, Japan.
E-mail Addresses:
hirokawa at cc.kyushu-u.ac.jp; nakatoh at cc.kyushu-u.ac.jp; hayato.nakanishi.460 at s.kyushu-u.ac.jp
Cited Reference Count:
20
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4673-9795-7
Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods
Research Areas:
Computer Science
IDS Number:
BF1KN
Unique ID:
WOS:000380405100021
Cited References:
Pudovkin AI, 2004, ASIST 2004: PROCEEDINGS OF THE 67TH ASIS&T ANNUAL MEETING, VOL 41, 200467th Annual Meeting of the American-Society-for-Information-Science-and-Technology, NOV 12-17, 2004, Providence, RI, V41, P507
Bergstrom CE, 2007, Coll Res Libr News, V68, P314
Igami M., 2009, Journal of Information Processing and Management, V52, P255
PRITCHAR.A, 1969, JOURNAL OF DOCUMENTATION, V25, P348
Martin BR, 1996, SCIENTOMETRICS, V36, P343
Irina Marshakova-Shaikevich, 1996, Scientometrics, V35, P283
Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Nakatoh T., 2015, Proc. of ICADL2015,
GARFIELD E, 1955, SCIENCE, V122, P108
Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90
Garfield E., 1964, Institute for Scientific Information, in Philadelphia,
Saka Ayaka, 2007, 11th International Conference Information Visualization11th International Conference on Information Visualization (IV 2007), JUL 04-06, 2007, Zurich, SWITZERLAND, P453
Nakanishi H., 2015, Proc. of The 10th International Conference on Knowledge, Information and Creativity Support Systems (KICSS2015),
Nakatoh T., 2015, Proc. of IIAI 4th International Congress on Advanced Applied Informatics (IIAI AAI 2015), P12
Kostoff RN, 1996, SCIENTOMETRICS, V36, P281
Nakatoh T., 2015, Proc. of 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), P471
Yan R., 2012, Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, V51,
Salton G., 1988,
Callaham M, 2002, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION4th International Congress on Peer Review in Biomedical Publication, SEP 14-16, 2001, BARCELONA, SPAIN, V287, P2847
========================================================================
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*Order Full Text [ ]
Title:
Temporal Analysis of Author Ranking Using Citation-Collaboration Network
Authors:
Paul, PS; Kumar, V; Choudhury, P; Nandi, S
Author Full Names:
Paul, Partha Sarathi; Kumar, Vickey; Choudhury, Prasenjit; Nandi,
Subrata
Book Group Author(s):
IEEE
Source:
2015 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORKS IEEE COMSNETS 2015, 2015
Book Series:
International Conference on Communication Systems and Networks
Language:
English
Document Type:
Proceedings Paper
Conference Title:
7th International Conference on Communication Systems and Networks
Conference Date:
JAN 06-10, 2015
Conference Location:
Bangalore, INDIA
Conference Sponsors:
airtel, Mahindra COMVIVA, Sasken, hp Networking
Abstract:
Automated author ranking mechanism in a given research domain has key
applications like automatic faculty selection in an institution,
selection of outstanding researcher in a particular research domain,
selection of domain experts for reviewing articles or project proposals,
etc. The advantage of automated mechanism is that it is transparent and
free from personal intervention. On the other hand, temporal analysis of
author ranking has importance in the issues like selection of candidates
for project grants, selection for life-time achievement awards, etc.
This being an era of shared authorship in scientific articles, finding
exact contribution of an author in a field is always a challenge. In our
present work, we propose a modified pagerank-based author ranking
algorithm that may identify the exact contribution of a researcher in
terms coauthorship scores and paper citation scores in the research
field he/she is working, and validate them using H-index, an already
well accepted author ranking strategy, with the help of DBLP data set.
In addition, we perform a comparative analysis of the change in author
ranking for different part of author spectrum over time.
Reprint Address:
Paul, PS (reprint author), Natl Inst Technol, Dept Comp Sci & Engn, Durgapur 713209, India.
Addresses:
[Paul, Partha Sarathi; Kumar, Vickey; Nandi, Subrata] Natl Inst Technol, Dept Comp Sci & Engn, Durgapur 713209, India.
[Choudhury, Prasenjit] Natl Inst Technol, Dept Comp Applicat, Durgapur 713209, India.
E-mail Addresses:
parthasarathi.nitdgp at gmail.com; kumarvickey45 at gmail.com; prasenjit0007 at yahoo.co.in; subrata.nandi at gmail.com
Cited Reference Count:
18
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISSN:
2155-2487
ISBN:
978-1-4799-8439-8
Web of Science Categories:
Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic; Telecommunications
Research Areas:
Computer Science; Engineering; Telecommunications
IDS Number:
BF1HO
Unique ID:
WOS:000380397700074
Cited References:
Ding Ying, 2011, JOURNAL OF INFORMETRICS, V5, P187
Sun Y., 2011, ser. ASONAM '11,
Cui J., 2010, Citation networks as a multi-layer graph: Link prediction and importance ranking,
Garfield E., 1964, The Use of Citation Data in Writing the History of Science,
Csardi G., 2006, Int. J.: Complex Syst., V1695, P1695
Greene M., 2007, The demise of the lone author,
Hirsch J. E., 2010, SCIENTOMETRICS, V85, P741
Deng H., 2012, ser. JCDL '12,
Page L., 1999, Technical Report 1999-66,
Chakraborty T., 2013, ser. ASONAM '13,
Yang Z., 2011, ser. SIGIR '11,
Sayyadi H., 2009, ser. SIAM,
Zhou D., 2007, ser. ICDM '07,
Kuhn T. S., 1962, The Structure of Scientific Revolutions,
Singh A., 2011, ser. DMO, 2011, June, 2011,
Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90
Ding Y., 2010, CoRR,
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
========================================================================
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*Order Full Text [ ]
Title:
Accumulated Citation Count as Fertileness of Scientific Article
Authors:
Hirokawa, S; Nakatoh, T; Nakanishi, H
Author Full Names:
Hirokawa, Sachio; Nakatoh, Tetsuya; Nakanishi, Hayato
Edited by:
Arabnia HR; Deligiannidis L; Tran QN
Source:
2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 119-122; 10.1109/CSCI.2015.74 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
International Conference on Computational Science and Computational Intelligence (CSCI)
Conference Date:
DEC 07-09, 2015
Conference Location:
Las Vegas, NV
Conference Sponsors:
Amer Council on Sci & Educ
KeyWords Plus:
PERFORMANCE; SCIENCE; INDEX
Abstract:
The literature survey by scientific bibliographic data base is
indispensable in the research activities. We can find related articles
with appropriate keywords. However, the threads of related research are
not easy to grasp from the search result. It is necessary to repeat a
search, judge a citation relation and figure out the thread. The present
paper proposes the index "accumulated citation count" of a scientific
article to measure the thread of citations that starts from the article.
Reprint Address:
Hirokawa, S (reprint author), Kyushu Univ, Res Inst Informat Technol, Higashi Ku, Hakozaki 6-10-1, Fukuoka 8128581, Japan.
Addresses:
[Hirokawa, Sachio; Nakatoh, Tetsuya] Kyushu Univ, Res Inst Informat Technol, Higashi Ku, Hakozaki 6-10-1, Fukuoka 8128581, Japan.
[Nakanishi, Hayato] Kyushu Univ, Grad Sch Integrated Frontier Sci, Fukuoka 8128581, Japan.
E-mail Addresses:
hirokawa at cc.kyushu-u.ac.jp; nakatoh at cc.kyushu-u.ac.jp; hayato.nakanishi.460 at s.kyushu-u.ac.jp
Cited Reference Count:
20
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4673-9795-7
Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods
Research Areas:
Computer Science
IDS Number:
BF1KN
Unique ID:
WOS:000380405100021
Cited References:
Pudovkin AI, 2004, ASIST 2004: PROCEEDINGS OF THE 67TH ASIS&T ANNUAL MEETING, VOL 41, 200467th Annual Meeting of the American-Society-for-Information-Science-and-Technology, NOV 12-17, 2004, Providence, RI, V41, P507
Bergstrom CE, 2007, Coll Res Libr News, V68, P314
Igami M., 2009, Journal of Information Processing and Management, V52, P255
PRITCHAR.A, 1969, JOURNAL OF DOCUMENTATION, V25, P348
Martin BR, 1996, SCIENTOMETRICS, V36, P343
Irina Marshakova-Shaikevich, 1996, Scientometrics, V35, P283
Hirsch J. E., 2007, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V104, P19193
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Nakatoh T., 2015, Proc. of ICADL2015,
GARFIELD E, 1955, SCIENCE, V122, P108
Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90
Garfield E., 1964, Institute for Scientific Information, in Philadelphia,
Saka Ayaka, 2007, 11th International Conference Information Visualization11th International Conference on Information Visualization (IV 2007), JUL 04-06, 2007, Zurich, SWITZERLAND, P453
Nakanishi H., 2015, Proc. of The 10th International Conference on Knowledge, Information and Creativity Support Systems (KICSS2015),
Nakatoh T., 2015, Proc. of IIAI 4th International Congress on Advanced Applied Informatics (IIAI AAI 2015), P12
Kostoff RN, 1996, SCIENTOMETRICS, V36, P281
Nakatoh T., 2015, Proc. of 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), P471
Yan R., 2012, Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, V51,
Salton G., 1988,
Callaham M, 2002, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION4th International Congress on Peer Review in Biomedical Publication, SEP 14-16, 2001, BARCELONA, SPAIN, V287, P2847
========================================================================
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*Order Full Text [ ]
Title:
Journal Impact Factor Revised with Focused View
Authors:
Nakatoh, T; Nakanishi, H; Hirokawa, S
Author Full Names:
Nakatoh, Tetsuya; Nakanishi, Hayato; Hirokawa, Sachio
Edited by:
NevesSilva R; Jain LC; Howlett RJ
Source:
INTELLIGENT DECISION TECHNOLOGIES, 39 471-481; 10.1007/978-3-319-19857-6_40 2015
Book Series:
Smart Innovation Systems and Technologies
Language:
English
Document Type:
Proceedings Paper
Conference Title:
7th KES International Conference on Intelligent Decision Technologies (KES-IDT)
Conference Date:
JUN 17-19, 2015
Conference Location:
Sorrento, ITALY
Conference Sponsors:
KES Int
Author Keywords:
Bibliometrics, Scientometrics, Impact factor
KeyWords Plus:
SCIENCE
Abstract:
The evaluation of an article is an important issue for scientific
research. A journal impact factor is used widely to evaluate the impact
of the journals. An impact factor is considered as an influence measure
of articles. Articles in a high impact factor journal tend to have
strong impact on the wide research fields. However, this does not imply
that they have big influence in a particular research area. Measuring
the speciality and the generality of research results is not trivial
task. The present paper proposes a generalized method to evaluate the
influence of a journal with respect to a focused view. An empirical
evaluation was conducted on "bibliometrics" related 10,186 articles.
Reprint Address:
Nakatoh, T (reprint author), Kyushu Univ, Res Inst Informat Technol, Hakozaki 6-10-1, Fukuoka 8128581, Japan.
Addresses:
[Nakatoh, Tetsuya; Hirokawa, Sachio] Kyushu Univ, Res Inst Informat Technol, Hakozaki 6-10-1, Fukuoka 8128581, Japan.
[Nakanishi, Hayato] Kyushu Univ, Grad Sch Integrated Frontier Sci, Fukuoka 8128581, Japan.
E-mail Addresses:
nakatoh at cc.kyushu-u.ac.jp; hirokawa at cc.kyushu-u.ac.jp
Cited Reference Count:
5
Times Cited:
0
Publisher:
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ISSN:
2190-3018
ISBN:
978-3-319-19857-6; 978-3-319-19856-9
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods
Research Areas:
Computer Science
IDS Number:
BF2MX
Unique ID:
WOS:000380481600040
Cited References:
Pudovkin AI, 2004, ASIST 2004: PROCEEDINGS OF THE 67TH ASIS&T ANNUAL MEETING, VOL 41, 200467th Annual Meeting of the American-Society-for-Information-Science-and-Technology, NOV 12-17, 2004, Providence, RI, V41, P507
Bergstrom C., 2007, Eigenfactor: Measuring the value and prestige of scholarly journals,
GARFIELD E, 1955, SCIENCE, V122, P108
Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90
MarshakovaShaikevich I, 1996, SCIENTOMETRICS, V35, P283
========================================================================
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*Order Full Text [ ]
Title:
Aspect-Level Influence Discovery from Graphs
Authors:
Hu, C; Cao, HP
Author Full Names:
Hu, Chuan; Cao, Huiping
Source:
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 28 (7):1635-1649; 10.1109/TKDE.2016.2538223 JUL 1 2016
Language:
English
Document Type:
Article
Author Keywords:
Graph mining, machine learning, Gibbs sampling, knowledge extraction
Abstract:
Graphs have been widely used to represent objects and object connections
in applications such as the web, social networks, and citation networks.
Mining influence relationships from graphs has gained increasing
interests in recent years because providing information on how graph
objects influence each other can facilitate graph exploration, graph
search, and connection recommendations. In this paper, we study the
problem of detecting influence aspects, on which objects are connected,
and influence degree (or influence strength), with which one graph node
influences another graph node on a given aspect. Existing techniques
focus on inferring either the overall influence degrees or the influence
types from graphs. In this paper, we propose a systematic approach to
extract influence aspects and learn aspect - level influence strength.
In particular, we first present a novel instance - merging based method
to extract influence aspects from the context of object connections. We
then introduce two generative models, Observed Aspect Influence Model
(OAIM) and Latent Aspect Influence Model (LAIM), to model the
topological structure of graphs, the text content associated with graph
objects, and the context in which the objects are connected. To learn
OAIM and LAIM, we design both non - parallel and parallel Gibbs sampling
algorithms. We conduct extensive experiments on synthetic and real data
sets to show the effectiveness and efficiency of our methods. The
experimental results show that our models can discover more effective
results than existing approaches. Our learning algorithms also scale
well on large data sets.
Reprint Address:
Hu, C (reprint author), New Mexico State Univ, Dept Comp Sci, Las Cruces, NM 88003 USA.
Addresses:
[Hu, Chuan; Cao, Huiping] New Mexico State Univ, Dept Comp Sci, Las Cruces, NM 88003 USA.
E-mail Addresses:
chu at cs.nmsu.edu; hcao at cs.nmsu.edu
Funding Acknowledgement:
US National Science Foundation (NSF) [1337884, 1345232]
Funding Text:
This work is supported by US National Science Foundation (NSF) #1337884 and #1345232.
Cited Reference Count:
37
Times Cited:
0
Publisher:
IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA
ISSN:
1041-4347
eISSN:
1558-2191
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Engineering, Electrical & Electronic
Research Areas:
Computer Science; Engineering
IDS Number:
DR7ZF
Unique ID:
WOS:000380117500003
Cited References:
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
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Kanehisa M, 2000, NUCLEIC ACIDS RESEARCH, V28, P27
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Andrieu C, 2003, MACHINE LEARNING, V50, P5
Chakrabarti D, 2004, Proceedings of the Fourth SIAM International Conference on Data Mining4th SIAM International Conference on Data Mining, APR 22-24, 2004, Lake Buena Vista, FL, P442
Murphy KP, 2012, MACHINE LEARNING: A PROBABILISTIC PERSPECTIVE, P1
Miao G., 2012, Proc. 18th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2012, P1415
Shen Y., 2012, Proc. 18th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2012, P1303
Liu L., 2010, Proc. 19th ACM Int. Conf. Inf. Knowl. Manage., 2010, P199
Tang J., 2014, Proc. Int. Conf. Mach. Learn., 2014, P190
Tang J., 2012, Proc. 18th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, P1285
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Garfield Eugene, 2006, INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, V35, P1123
Gelman A., 2003, Bayesian Data Analysis,
Iwata T., 2013, Proc. 19th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2013, P266
Blei DM, 2003, JOURNAL OF MACHINE LEARNING RESEARCH18th International Conference on Machine Learning, JUN 28-JUL 01, 2001, WILLIAMSTOWN, MASSACHUSETTS, V3, P993
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Title:
Discovering Identity in Intelligence Data using Weighted Link Based Similarities: A Case Study of Thailand
Authors:
Boongoen, T; Iam-On, N
Author Full Names:
Boongoen, Tossapon; Iam-On, Natthakan
Book Group Author(s):
IEEE
Source:
2015 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 327-332; 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
International Symposium on System Integration
Conference Date:
DEC 11-13, 2015
Conference Location:
Nagoya, JAPAN
Conference Sponsors:
SICE Syst Integration Div, IEEE Robotics and Automat Soc, IEEE Industrial Electronics Soc
Author Keywords:
intelligence analysis, crime and terrorism, deceptive identity, link analysis
KeyWords Plus:
DOCUMENTS
Abstract:
Resolving ambiguous and unknown identities is crucial to intelligence
analysis in which fraud and deceptive names are frequently used by
criminals and terrorists to make their activities unnoticeable. Typical
approaches rely on the similarity measure of textual and other
content-based characteristics, which are usually not applicable in the
case of falsely-defined and unknown instances. This barrier can be
overcome through link information presented in communication behaviors,
financial interactions and social networks. Link-based similarity
measures have proven effective for identifying similar problems in the
Internet and publication domains. Inspired by this observation, the
paper presents new link-based algorithms that do not only concentrate on
link structure as adopted by the existing methods, but also bring link
properties into consideration. Intuitively, links are weighted in
accordance to their uniqueness. Their performance are experimentally
evaluated with datasets related to terrorism and similar tasks,
espcially the data collection extracted from evidence ontology that is
used for investigation of unrest in southern Thailand.
Reprint Address:
Boongoen, T (reprint author), Royal Thai Air Force Acad, Dept Math & Comp Sci, Bangkok 10220, Thailand.
Addresses:
[Boongoen, Tossapon] Royal Thai Air Force Acad, Dept Math & Comp Sci, Bangkok 10220, Thailand.
[Iam-On, Natthakan] Mae Fah Luang Univ, Sch Informat Technol, Chiang Rai 57100, Thailand.
E-mail Addresses:
tossapon_b at rtaf.mi.th; nt.iamon at gmail.com
Cited Reference Count:
15
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4673-7242-8
Web of Science Categories:
Engineering, Electrical & Electronic
Research Areas:
Engineering
IDS Number:
BF2MO
Unique ID:
WOS:000380480800058
Cited References:
Pantel P., 2006, Proceedings of AAAI Symposium on Capturing and Using Patterns for Evidence Detection, P14
Badia A, 2005, INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGSIEEE International Conference on Intelligence and Security Informatics (ISI 2005), MAY 19-20, 2005, Atlanta, GA, V3495, P49
FALKENHAINER B, 1991, ARTIFICIAL INTELLIGENCE, V51, P95
Wang AG, 2005, INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGSIEEE International Conference on Intelligence and Security Informatics (ISI 2005), MAY 19-20, 2005, Atlanta, GA, V3495, P368
Buechi M., 2003, IQ, P207
Reuther P., 2006, Proceedings of International Conference Database and Expert System Applications, P234
Jeh G., 2002, Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data mining, P538
Calado P, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P208
Hsiung P., 2005, Proceedings of International Conference on Intelligence Analysis.,
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
Keppens J, 2001, KNOWLEDGE ENGINEERING REVIEW, V16, P157
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Porter G., 2008, Asia Times,
Lawrence S., 1999, Agents, P392
Bilenko M., 2003, Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery in Databases,
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Title:
Author Relationship Mining based on Tripartite Citation Analysis
Authors:
Wang, FF; Liu, JW; Yang, SL
Author Full Names:
Wang, Feifei; Liu, Junwan; Yang, Siluo
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 261-265; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
COCITATION; SCIENTOMETRICS; CLASSIFICATION
Abstract:
This study scrutinizes potential author relationships according to the
findings based on the tripartite citation analysis. It focuses on Author
co-citation analysis (ACA), author bibliographic-coupling analysis
(ABCA) and author direct citation analysis (ADCA). By algorithm design
and empirical analysis, the deduction from results of ACA, ABCA and ADCA
to potential author relationships mining could be probable, and the
empirical process would be practicable.
Reprint Address:
Wang, FF (reprint author), Beijing Univ Technol, Sch Econ & Management, Beijing 100024, Peoples R China.
Addresses:
[Wang, Feifei; Liu, Junwan] Beijing Univ Technol, Sch Econ & Management, Beijing 100024, Peoples R China.
[Yang, Siluo] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
E-mail Addresses:
feifeiwang at bjut.edu.cn; liujunwan at bjut.edu.cn; 58605025 at qq.com
Cited Reference Count:
15
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700034
Cited References:
Gomez-Nunez Antonio J., 2014, JOURNAL OF INFORMETRICS, V8, P369
Wang Feifei, 2012, SCIENTOMETRICS, V91, P1011
Gomez-Nunez A. J., 2015, Journal of the Association for Information Science and Technology,
Zhang Lin, 2009, SCIENTOMETRICS, V81, P821
Gomez-Nunez Antonio J., 2011, SCIENTOMETRICS, V89, P741
Wang F., 2014, Science of Science and Management of S.&T.(China), V35, P45
Strotmann Andreas, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P1820
Persson Olle, 2010, JOURNAL OF INFORMETRICS, V4, P415
Kessler M.M., 1963, Journal of the American Society for Information Science and Technology, V14, P10
Schubert A, 2002, SCIENTOMETRICS, V53, P3
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
Boyack Kevin W., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2389
Shibata Naoki, 2008, TECHNOVATION, V28, P758
WHITE HD, 1981, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V32, P163
Yang Siluo, 2015, JOURNAL OF INFORMETRICS, V9, P208
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Title:
How Related is Author Topical Similarity to Other Author Relatedness Measures?
Authors:
Lu, K; Zhao, YH; Ajiferuke, I; Wolfram, D
Author Full Names:
Lu, Kun; Zhao, Yuehua; Ajiferuke, Isola; Wolfram, Dietmar
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 899-908; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
BIBLIOGRAPHIC-COUPLING ANALYSIS; INFORMATION-SCIENCE; COCITATION ANALYSIS; RESEARCH FRONT
Abstract:
Using a dataset of 26,228 Psychology document surrogates from Elsevier
databases, we compare author relatedness measure outcomes for 125
authors based on topic modelling to more traditional approaches that
rely on direct citation, co-citation and collaboration. Outcomes for the
author topical similarity measure are compared to existing
co-authorships in the dataset using UCINET/NetDraw. We demonstrate how
author topical similarity outcomes provide a similar, but more complete,
picture of author relationships than the co-authorship network.
Nonparametric correlation analysis results of author topical similarity,
co-authorship, citation, and co-citation were also compared for thirty
author pairs of differing author topical similarity values. There is a
significant correlation between author topical similarity and
co-authorship and direct citation-based measures for high similarity
author pairs, but not with co-citation measures. The author topical
similarity measure, therefore, may serve as a reasonable predictor of
collaboration or direct citation for authors with high topical
similarity. The measure may also identify potential collaborators based
on high author pair similarity values, where there is a lack of existing
collaboration, and serve as a complement to author relatedness based on
co-citation analysis.
Reprint Address:
Lu, K (reprint author), Univ Oklahoma, Sch Lib & Informat Studies, 401 West Brooks, Norman, OK 73019 USA.
Addresses:
[Lu, Kun] Univ Oklahoma, Sch Lib & Informat Studies, 401 West Brooks, Norman, OK 73019 USA.
[Zhao, Yuehua; Wolfram, Dietmar] Univ Wisconsin, Sch Informat Studies, Milwaukee, WI 53201 USA.
[Ajiferuke, Isola] Univ Western Ontario, Fac Informat & Media Studies, London, ON N6A 5B7, Canada.
E-mail Addresses:
kunlu at ou.edu; yuehua at uwm.edu; iajiferu at uwo.ca; dwolfram at uwm.edu
Cited Reference Count:
19
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700138
Cited References:
Jacobs D., 2014, Proceedings of the Annual Conference of CAIS/Actes du congres annuel de l'ACSI,
Blei D., 2006, V18, P147
Lu Kun, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P1973
Rosen-Zvi Michal, 2010, ACM TRANSACTIONS ON INFORMATION SYSTEMS, V28,
Yan Erjia, 2014, JOURNAL OF INFORMETRICS, V8, P295
Blei DM, 2003, JOURNAL OF MACHINE LEARNING RESEARCH18th International Conference on Machine Learning, JUN 28-JUL 01, 2001, WILLIAMSTOWN, MASSACHUSETTS, V3, P993
Borner K, 2003, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V37, P179
Zhao Dangzhi, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P995
Hu Yuening, 2014, MACHINE LEARNING, V95, P423
Blei DM, 2008, Advances in neural information processing systems, P121
Hofmann T, 1999, SIGIR'99: PROCEEDINGS OF 22ND INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL22nd International Conference on Research and Development in Information Retrieval, AUG, 1999, BERKELEY, CA, P50
White HD, 1998, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V49, P327
Zhao Dangzhi, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P2070
Glanzel W., 2005, P257
Borgatti S.P., 2002, Ucinet for windows: software for social network analysis,
Jeong Yoo Kyung, 2014, JOURNAL OF INFORMETRICS, V8, P197
Tang Jie, 2008, ICDM 2008: EIGHTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS8th IEEE International Conference on Data Mining, DEC 15-19, 2008, Pisa, ITALY, P1055
Boyack Kevin W., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2389
LAW J, 1992, SCIENTOMETRICS, V23, P417
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Title:
A Computer System for Automatic Evaluation of Researchers' Performance
Authors:
Ebadi, A; Schiffauerova, A
Author Full Names:
Ebadi, Ashkan; Schiffauerova, Andrea
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 425-435; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
SCIENTIFIC PRODUCTIVITY; RESEARCH COLLABORATION; CITATION ANALYSIS; UNIVERSITIES; PUBLICATION; ARTICLES; COUNTS; IMPACT
Abstract:
The increasing number of researchers and the limited financial resources
has caused a tight competition among scientists to secure research
funding. On the other side, it has become even harder for funding
allocation organizations to evaluate the performance of researchers and
select the best candidates. However, it seems that the current
evaluation methods are highly correlated with subjective criteria. In
addition, the subjective nature of peer-review as one the most common
methods in scientific evaluation calls itself for an accurate
complementary quantitative method to help the decision makers. This
paper proposes an automatic computer system, which is based on machine
learning techniques for predicting the performance of researchers. The
proposed system uses various features of different types as the input to
a complex machine learning module to predict the performance of a
researcher in a given year. The method provides the decision makers with
fair comparative results regardless of any subjective criteria. Our
results show the high accuracy of the proposed system in predicting the
performance of researchers.
Reprint Address:
Ebadi, A (reprint author), Concordia Univ, CIISE, 1515 Ste Catherine St West, Montreal, PQ H3G 2W1, Canada.
Addresses:
[Ebadi, Ashkan; Schiffauerova, Andrea] Concordia Univ, CIISE, 1515 Ste Catherine St West, Montreal, PQ H3G 2W1, Canada.
E-mail Addresses:
a_ebad at encs.concordia.ca; andrea at ciise.concordia.ca
Cited Reference Count:
30
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700065
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Title:
Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement
Authors:
Wang, SZ; Xie, SH; Zhang, XM; Li, ZJ; Yu, PS; He, YY
Author Full Names:
Wang, Senzhang; Xie, Sihong; Zhang, Xiaoming; Li, Zhoujun; Yu, Philip
S.; He, Yueying
Source:
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 7 (4):SI 10.1145/2897371 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Design, Algorithms, Performance, Influence mining, mutual reinforcement, literature ranking
KeyWords Plus:
JOURNALS; PAGERANK; INDEX
Abstract:
Scientific literature ranking is essential to help researchers find
valuable publications from a large literature collection. Recently, with
the prevalence of webpage ranking algorithms such as PageRank and HITS,
graph-based algorithms have been widely used to iteratively rank papers
and researchers through the networks formed by citation and coauthor
relationships. However, existing graph-based ranking algorithms mostly
focus on ranking the current importance of literature. For researchers
who enter an emerging research area, they might be more interested in
new papers and young researchers that are likely to become influential
in the future, since such papers and researchers are more helpful in
letting them quickly catch up on the most recent advances and find
valuable research directions. Meanwhile, although some works have been
proposed to rank the prestige of a certain type of objects with the help
of multiple networks formed of multiobjects, there still lacks a unified
framework to rank multiple types of objects in the bibliographic network
simultaneously. In this article, we propose a unified ranking framework
MRCoRank to corank the future popularity of four types of objects:
papers, authors, terms, and venues through mutual reinforcement.
Specifically, because the citation data of new publications are sparse
and not efficient to characterize their innovativeness, we make the
first attempt to extract the text features to help characterize
innovative papers and authors. With the observation that the current
trend is more indicative of the future trend of citation and coauthor
relationships, we then construct time-aware weighted graphs to quantify
the importance of links established at different times on both citation
and coauthor graphs. By leveraging both the constructed text features
and time-aware graphs, we finally fuse the rich information in amutual
reinforcement ranking framework to rank the future importance of
multiobjects simultaneously. We evaluate the proposed model through
extensive experiments on the ArnetMiner dataset containing more than
1,500,000 papers. Experimental results verify the effectiveness of
MRCoRank in coranking the future influence of multiobjects in a
bibliographic network.
Reprint Address:
Li, ZJ (reprint author), Beihang Univ, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China.Li, ZJ (reprint author), Capital Normal Univ, Beijing Adv Innovat Ctr Imaging Technol, Beijing, Peoples R China.
Addresses:
[Wang, Senzhang; Zhang, Xiaoming; Li, Zhoujun] Beihang Univ, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China.
[Li, Zhoujun] Capital Normal Univ, Beijing Adv Innovat Ctr Imaging Technol, Beijing, Peoples R China.
[Xie, Sihong; Yu, Philip S.] Univ Illinois, Dept Comp Sci, Chicago, IL 60680 USA.
[Yu, Philip S.] Tsinghua Univ, Inst Data Sci, Beijing, Peoples R China.
[He, Yueying] Natl Comp Network Emergency Response Tech Team, Coordinat Ctr China, Beijing, Peoples R China.
E-mail Addresses:
szwang at buaa.edu.cn; sxie6 at uic.edu; yolixs at buaa.edu.cn; lizj at buaa.edu.cn; psyu at uic.edu; hyy at cert.org.cn
Funding Acknowledgement:
National Natural Science Foundation of China [61170189, 61370126, 61202239]; National High Technology Research and Development Program of China [2015AA016004]; Major Projects of the National Social Science Fund of China [14ZH0036]; Science and Technology Innovation Ability Promotion Project of Beijing [PXM2015-014203-000059]; Fund of the State Key Laboratory of Software Development Environment [SKLSDE-2015ZX-16]; US NSF [III-1526499, CNS-1115234, OISE-1129076]
Funding Text:
This work is supported in part by the National Natural Science Foundation of China (Grant Nos. 61170189, 61370126, 61202239), National High Technology Research and Development Program of China under grant (No. 2015AA016004), Major Projects of the National Social Science Fund of China under grant (No. 14&ZH0036), Science and Technology Innovation Ability Promotion Project of Beijing (PXM2015-014203-000059), Fund of the State Key Laboratory of Software Development Environment (No. SKLSDE-2015ZX-16), and US NSF through grants III-1526499, CNS-1115234, and OISE-1129076.
Cited Reference Count:
32
Times Cited:
0
Publisher:
ASSOC COMPUTING MACHINERY, 2 PENN PLAZA, STE 701, NEW YORK, NY 10121-0701 USA
ISSN:
2157-6904
eISSN:
2157-6912
Article Number:
64
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Information Systems
Research Areas:
Computer Science
IDS Number:
DS0YG
Unique ID:
WOS:000380322200021
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Title:
Multiple Citation Indicators and Their Composite across Scientific Disciplines
Authors:
Ioannidis, JPA; Klavans, R; Boyack, KW
Author Full Names:
Ioannidis, John P. A.; Klavans, Richard; Boyack, Kevin W.
Source:
PLOS BIOLOGY, 14 (7):10.1371/journal.pbio.1002501 JUL 2016
Language:
English
Document Type:
Article
KeyWords Plus:
H-INDEX; BIBLIOMETRIC INDICATORS; AUTHORSHIP; SCIENCE; RESEARCHERS; METRICS; IMPACT; ORDER
Abstract:
Many fields face an increasing prevalence of multi-authorship, and this
poses challenges in assessing citation metrics. Here, we explore
multiple citation indicators that address total impact (number of
citations, Hirsch H index [H]), co-authorship adjustment (Schreiber Hm
index [Hm]), and author order (total citations to papers as single;
single or first; or single, first, or last author). We demonstrate the
correlation patterns between these indicators across 84,116 scientists
(those among the top 30,000 for impact in a single year [2013] in at
least one of these indicators) and separately across 12 scientific
fields. Correlation patterns vary across these 12 fields. In physics,
total citations are highly negatively correlated with indicators of
co-authorship adjustment and of author order, while in other sciences
the negative correlation is seen only for total citation impact and
citations to papers as single author. We propose a composite score that
sums standardized values of these six log-transformed indicators. Of the
1,000 top-ranked scientists with the composite score, only 322 are in
the top 1,000 based on total citations. Many Nobel laureates and other
extremely influential scientists rank among the top-1,000 with the
composite indicator, but would rank much lower based on total citations.
Conversely, many of the top 1,000 authors on total citations have had no
single/first/last-authored cited paper. More Nobel laureates of
2011-2015 are among the top authors when authors are ranked by the
composite score than by total citations, H index, or Hm index; 40/47 of
these laureates are among the top 30,000 by at least one of the six
indicators. We also explore the sensitivity of indicators to
self-citation and alphabetic ordering of authors in papers across
different scientific fields. Multiple indicators and their composite may
give a more comprehensive picture of impact, although no citation
indicator, single or composite, can be expected to select all the best
scientists.
Reprint Address:
Ioannidis, JPA (reprint author), Stanford Univ, Meta Res Innovat Ctr Stanford METR, Stanford, CA 94305 USA.Ioannidis, JPA (reprint author), Stanford Univ, Sch Med, Dept Med, Stanford Prevent Res Ctr, Stanford, CA 94305 USA.Ioannidis, JPA (reprint author), Stanford Univ, Sch Med, Dept Hlth Res & Policy, Stanford, CA 94305 USA.Ioannidis, JPA (reprint author), Stanford Univ, Sch Humanities & Sci, Dept Stat, Stanford, CA 94305 USA.
Addresses:
[Ioannidis, John P. A.] Stanford Univ, Meta Res Innovat Ctr Stanford METR, Stanford, CA 94305 USA.
[Ioannidis, John P. A.] Stanford Univ, Sch Med, Dept Med, Stanford Prevent Res Ctr, Stanford, CA 94305 USA.
[Ioannidis, John P. A.] Stanford Univ, Sch Med, Dept Hlth Res & Policy, Stanford, CA 94305 USA.
[Ioannidis, John P. A.] Stanford Univ, Sch Humanities & Sci, Dept Stat, Stanford, CA 94305 USA.
[Klavans, Richard] SciTech Strategies Inc, Wayne, PA USA.
[Boyack, Kevin W.] SciTech Strategies Inc, Albuquerque, NM USA.
E-mail Addresses:
jioannid at stanford.edu
Funding Acknowledgement:
Laura and John Arnold Foundation
Funding Text:
The work of John Ioannidis is supported by an unrestricted gift by Sue and Bob O'Donnell. METRICS is funded by the Laura and John Arnold Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Cited Reference Count:
44
Times Cited:
0
Publisher:
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
ISSN:
1545-7885
Article Number:
e1002501
Web of Science Categories:
Biochemistry & Molecular Biology; Biology
Research Areas:
Biochemistry & Molecular Biology; Life Sciences & Biomedicine - Other Topics
IDS Number:
DS4RN
Unique ID:
WOS:000380768700003
PubMed ID:
27367269
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Title:
Do Authors With Stronger Bibliographic Coupling Ties Cite Each Other More Often?
Authors:
Gazni, A; Didegah, F
Author Full Names:
Gazni, Ali; Didegah, Fereshteh
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 230-240; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
RESEARCH-FRONT; NORMATIVE THEORY; CITATION; SCIENCE; COLLABORATION; COCITATION; PERSUASION; DOCUMENTS; EVOLUTION; NETWORKS
Abstract:
Author bibliographic coupling is extended from bibliographic coupling
concept and holds the view that two authors with more common references
are more related and have more similar research interests. This study
aims to examine the association between author bibliographic coupling
strength and citation exchange in Information Science & Library Science
and more specifically, in imetrics. The results show that there is a
positive and significant association between these two factors in
Information Science & Library Science and also in imetrics; however, the
correlation is more significant among imetricians. This confirms the
Merton's norm of universalism versus constructivists' particularism. A
closer investigation of bibliographic coupling and citation networks
among thirty highly cited imetricians shows that Thelwall, M. is in
strong bibliographic coupling and citation relationships with the
majority of authors in the network. He and Bar-Ilan have the strongest
ABC and citation relationships in the network. Rousseau, R., Glanzel,
W., Bornmann, L., Bar-Ilan, J., and Leydesdorff, L. are also in strong
ABC relations with each other as well as other authors in the network.
Reprint Address:
Gazni, A (reprint author), Islamic World Sci Citat Ctr, Shiraz, Iran.
Addresses:
[Gazni, Ali] Islamic World Sci Citat Ctr, Shiraz, Iran.
[Gazni, Ali] Reg Informat Ctr Sci & Technol, Shiraz, Iran.
[Didegah, Fereshteh] Wolverhampton Univ, Stat Cybermetr Res Grp, Wolverhampton WV1 1LY, W Midlands, England.
E-mail Addresses:
ali.gazni at isc.gov.ir; fdidgah at gmail.com
Cited Reference Count:
28
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700031
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========================================================================
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Title:
An Experimental Study on the Dynamic Evolution of Core Documents
Authors:
Zhang, L; Glanzel, W; Ye, FY
Author Full Names:
Zhang, Lin; Glanzel, Wolfgang; Ye, Fred Y.
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 897-898; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
Reprint Address:
Zhang, L (reprint author), North China Univ Water Conservancy & Elect Power, Dept Management & Econ, Zhengzhou, Peoples R China.
Addresses:
[Zhang, Lin] North China Univ Water Conservancy & Elect Power, Dept Management & Econ, Zhengzhou, Peoples R China.
[Glanzel, Wolfgang] Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Leuven, Belgium.
[Glanzel, Wolfgang] Katholieke Univ Leuven, Dept MSI, Leuven, Belgium.
[Glanzel, Wolfgang] Hungarian Acad Sci, Dept Sci Policy & Scientometr, Budapest, Hungary.
[Ye, Fred Y.] Nanjing Univ, Sch Informat Management, Nanjing 210023, Jiangsu, Peoples R China.
[Ye, Fred Y.] Jiangsu Key Lab Data Engn & Knowledge Serv, Nanjing 210023, Jiangsu, Peoples R China.
E-mail Addresses:
zhanglin_1117 at 126.com; Wolfgang.Glanzel at kuleuven.be; yye at nju.edu.cn
Cited Reference Count:
6
Times Cited:
1
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700137
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Glaenzel Wolfgang, 2011, SCIENTOMETRICS, V88, P297
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Title:
Citation Network Based Framework for Ranking Academic Publications and Venues
Authors:
Peiris, D; Weerasinghe, R
Author Full Names:
Peiris, Dineshi; Weerasinghe, Ruvan
Book Group Author(s):
IEEE
Source:
2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer), 146-151; 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)
Conference Date:
AUG 24-25, 2015
Conference Location:
U Col Sch Comp, Colombo, SRI LANKA
Conference Sponsors:
IEEE Sri Lanka Section, CODEGEN, IFS, Cambio Software Engineering, Millennium Information Technologies
Conference Host:
U Col Sch Comp
Author Keywords:
Ranking, Citation Network, Publication Venues, Publications
KeyWords Plus:
IMPACT FACTOR; PAGERANK; QUALITY; AUTHORS; INDEX
Abstract:
Impact of Publication venues are the key consideration for researchers
who aim for maximum possible visibility for their work. The number of
publication venues has been increasing yearly, making it difficult for
researchers to get an idea about publication venues. Most of the
existing methods use citation count as the metric to measure the
reputation of publication venues which does not take into account the
quality of citations. If publication venue ranking scores are measured
successfully, then the researchers can take their own decision about a
particular publication venue much quicker and easier based on this
mechanism. We propose a novel approach for ranking publication venues by
considering publication history. Our approach is completely based on the
citation network represented by the publications. In our publication
ranking method, there are many aspects that contribute to the importance
of a publication, including the citations it has received, the quality
of the citing publications, the time metric and its authors. The
experimental results show that our publication ranking method reduces
the bias against more recent publications, which only have a few or zero
citations.
Reprint Address:
Peiris, D (reprint author), Univ Colombo, Sch Comp, 35 Reid Ave, Colombo 7, Sri Lanka.
Addresses:
[Peiris, Dineshi; Weerasinghe, Ruvan] Univ Colombo, Sch Comp, 35 Reid Ave, Colombo 7, Sri Lanka.
E-mail Addresses:
dineshi.peiris89 at gmail.com; arw at ucsc.cmb.ac.lk
Cited Reference Count:
24
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4673-9441-3
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Telecommunications
Research Areas:
Computer Science; Telecommunications
IDS Number:
BF3MQ
Unique ID:
WOS:000380557300024
Cited References:
Han S., 2013, Proceedings ol the 2013 workshop on Computational scientometrics, P1
[Anonymous], 2011,
Garfield E, 1999, CANADIAN MEDICAL ASSOCIATION JOURNAL, V161, P979
Hiep Luong, 2012, INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2012), PT III4th International Scientific Asian Conference on Intelligent Information and Database Systems (ACIIDS), MAR 19-21, 2012, Kaohsiung, TAIWAN, V7198, P426
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Valmarska A., 2014,
Laender A.H.F., 2008, SIGCSE Bulletin, V40, P135
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Title:
A Collective Reasoning on the Automotive Industry: A Patent Co-citation Analysis
Authors:
Castriotta, M; Di Guardo, MC
Author Full Names:
Castriotta, Manuel; Di Guardo, Maria Chiara
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 865-870; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
TECHNOLOGY; INNOVATION; COGNITION; FUTURE
Abstract:
While collective cognition has received increasing attention in the
broader field of organization, academic research has largely overlooked
its potential role on shaping innovation trajectories and technological
change adaptation at a firm and industrial levels. Through a strategic
lens and based on the patent bibliometrics and patent co-citation
methods, we integrate and extend the cognition and technology strategy
literatures by proposing an invention behavior map of leading companies
and groups in the automotive industry. How collective cognition
influence patent strategies? How economic trends impact on patent paths?
Empirical evidence for these reasons is drawn from a longitudinal patent
analysis quantitative approach of the period 1991-2013 considered
overall and consequently subdivided into three sub periods of seven
years each 1991-1997, 1998-2004, 2005-2013. About 443.000 patents,
1.108.356 citations and 1.234.623 co-citations of 49 automotive
assignees were collected from Derwent Innovation Index (DII), the
largest world patent and innovation database. Multi dimensional scaling
and cluster analysis techniques are employed to detect embryonic
cognition homogeneity measures and provide an overview of groups
technology composition and companies innovation strategies trends.
Finally, explorative findings are discussed below with suggestions about
how they might be translated into managerial implications.
Reprint Address:
Castriotta, M (reprint author), Univ Cagliari, I-09124 Cagliari, Italy.
Addresses:
[Castriotta, Manuel; Di Guardo, Maria Chiara] Univ Cagliari, I-09124 Cagliari, Italy.
E-mail Addresses:
manuel.castriotta at unica.it; diguardo at unica.it
Cited Reference Count:
15
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700129
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Nadkarni Sucheta, 2007, STRATEGIC MANAGEMENT JOURNAL, V28, P243
Kaplan Sarah, 2011, JOURNAL OF MANAGEMENT STUDIES, V48, P665
Kaplan Sarah, 2008, RESEARCH POLICY, V37, P790
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Zhao Qingjun, 2013, SCIENTOMETRICS, V94, P113
Lai KK, 2005, INFORMATION PROCESSING & MANAGEMENT, V41, P313
Kaplan David Michael, 2012, BIOLOGY & PHILOSOPHY, V27, P545
Kaplan S., 2003, Thinking about technology: understanding the role of cognition and technical change,
Wang Xianwen, 2011, SCIENTOMETRICS, V88, P761
MCCAIN KW, 1990, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V41, P433
Di Guardo Maria Chiara, 2012, JOURNAL OF TECHNOLOGY TRANSFER, V37, P789
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
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Title:
Discovering Identity in Intelligence Data using Weighted Link Based Similarities: A Case Study of Thailand
Authors:
Boongoen, T; Iam-On, N
Author Full Names:
Boongoen, Tossapon; Iam-On, Natthakan
Book Group Author(s):
IEEE
Source:
2015 International Carnahan Conference on Security Technology (ICCST), 327-332; 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
49th Annual International Carnahan Conference on Security Technology (ICCST)
Conference Date:
SEP 21-24, 2015
Conference Location:
Taipei, TAIWAN
Conference Sponsors:
Minist Educ, Bur Foreign Trade, Natl Cent Univ Acad Fdn, Chunghwa Telecom, Avitone, Master Concept
Author Keywords:
intelligence analysis, crime and terrorism, deceptive identity, link analysis
KeyWords Plus:
DOCUMENTS
Abstract:
Resolving ambiguous and unknown identities is crucial to intelligence
analysis in which fraud and deceptive names are frequently used by
criminals and terrorists to make their activities unnoticeable. Typical
approaches rely on the similarity measure of textual and other
content-based characteristics, which are usually not applicable in the
case of falsely-defined and unknown instances. This barrier can be
overcome through link information presented in communication behaviors,
financial interactions and social networks. Link-based similarity
measures have proven effective for identifying similar problems in the
Internet and publication domains. Inspired by this observation, the
paper presents new link-based algorithms that do not only concentrate on
link structure as adopted by the existing methods, but also bring link
properties into consideration. Intuitively, links are weighted in
accordance to their uniqueness. Their performance are experimentally
evaluated with datasets related to terrorism and similar tasks,
espcially the data collection extracted from evidence ontology that is
used for investigation of unrest in southern Thailand.
Reprint Address:
Boongoen, T (reprint author), Royal Thai Air Force Acad, Dept Math & Comp Sci, Bangkok 10220, Thailand.
Addresses:
[Boongoen, Tossapon] Royal Thai Air Force Acad, Dept Math & Comp Sci, Bangkok 10220, Thailand.
[Iam-On, Natthakan] Mae Fah Luang Univ, Sch Informat Technol, Chiang Rai 57100, Thailand.
E-mail Addresses:
tossapon_b at rtaf.mi.th; nt.iamon at gmail.com
Cited Reference Count:
15
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4799-8690-3
Web of Science Categories:
Computer Science, Theory & Methods; Engineering, Electrical & Electronic
Research Areas:
Computer Science; Engineering
IDS Number:
BF3UP
Unique ID:
WOS:000380584500058
Cited References:
Pantel P., 2006, Proceedings of AAAI Symposium on Capturing and Using Patterns for Evidence Detection, P14
Badia A, 2005, INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGSIEEE International Conference on Intelligence and Security Informatics (ISI 2005), MAY 19-20, 2005, Atlanta, GA, V3495, P49
FALKENHAINER B, 1991, ARTIFICIAL INTELLIGENCE, V51, P95
Wang AG, 2005, INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGSIEEE International Conference on Intelligence and Security Informatics (ISI 2005), MAY 19-20, 2005, Atlanta, GA, V3495, P368
Buechi M., 2003, IQ, P207
Reuther P., 2006, Proceedings of International Conference Database and Expert System Applications, P234
Jeh G., 2002, Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P538
Calado P, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P208
Hsiung P., 2005, Proceedings of International Conference on Intelligence Analysis,
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
Porter G., 2008, Asia Times Online,
Keppens J, 2001, KNOWLEDGE ENGINEERING REVIEW, V16, P157
Shen Q., 2006, Law, Probabil. Risk, V5, P87
Lawrence S., 1999, Agents, P392
Bilenko M., 2003, Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery in Databases,
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Title:
Discovering Identity in Intelligence Data using Weighted Link Based Similarities: A Case Study of Thailand
Authors:
Boongoen, T; Iam-On, N
Author Full Names:
Boongoen, Tossapon; Iam-On, Natthakan
Book Group Author(s):
IEEE
Source:
2015 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 327-332; 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
International Symposium on System Integration
Conference Date:
DEC 11-13, 2015
Conference Location:
Nagoya, JAPAN
Conference Sponsors:
SICE Syst Integration Div, IEEE Robotics and Automat Soc, IEEE Industrial Electronics Soc
Author Keywords:
intelligence analysis, crime and terrorism, deceptive identity, link analysis
KeyWords Plus:
DOCUMENTS
Abstract:
Resolving ambiguous and unknown identities is crucial to intelligence
analysis in which fraud and deceptive names are frequently used by
criminals and terrorists to make their activities unnoticeable. Typical
approaches rely on the similarity measure of textual and other
content-based characteristics, which are usually not applicable in the
case of falsely-defined and unknown instances. This barrier can be
overcome through link information presented in communication behaviors,
financial interactions and social networks. Link-based similarity
measures have proven effective for identifying similar problems in the
Internet and publication domains. Inspired by this observation, the
paper presents new link-based algorithms that do not only concentrate on
link structure as adopted by the existing methods, but also bring link
properties into consideration. Intuitively, links are weighted in
accordance to their uniqueness. Their performance are experimentally
evaluated with datasets related to terrorism and similar tasks,
espcially the data collection extracted from evidence ontology that is
used for investigation of unrest in southern Thailand.
Reprint Address:
Boongoen, T (reprint author), Royal Thai Air Force Acad, Dept Math & Comp Sci, Bangkok 10220, Thailand.
Addresses:
[Boongoen, Tossapon] Royal Thai Air Force Acad, Dept Math & Comp Sci, Bangkok 10220, Thailand.
[Iam-On, Natthakan] Mae Fah Luang Univ, Sch Informat Technol, Chiang Rai 57100, Thailand.
E-mail Addresses:
tossapon_b at rtaf.mi.th; nt.iamon at gmail.com
Cited Reference Count:
15
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4673-7242-8
Web of Science Categories:
Engineering, Electrical & Electronic
Research Areas:
Engineering
IDS Number:
BF2MO
Unique ID:
WOS:000380480800058
Cited References:
Pantel P., 2006, Proceedings of AAAI Symposium on Capturing and Using Patterns for Evidence Detection, P14
Badia A, 2005, INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGSIEEE International Conference on Intelligence and Security Informatics (ISI 2005), MAY 19-20, 2005, Atlanta, GA, V3495, P49
FALKENHAINER B, 1991, ARTIFICIAL INTELLIGENCE, V51, P95
Wang AG, 2005, INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGSIEEE International Conference on Intelligence and Security Informatics (ISI 2005), MAY 19-20, 2005, Atlanta, GA, V3495, P368
Buechi M., 2003, IQ, P207
Reuther P., 2006, Proceedings of International Conference Database and Expert System Applications, P234
Jeh G., 2002, Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, P538
Calado P, 2006, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V57, P208
Hsiung P., 2005, Proceedings of International Conference on Intelligence Analysis,
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
Keppens J, 2001, KNOWLEDGE ENGINEERING REVIEW, V16, P157
Shen Q., 2006, Law, Probabil. Risk, V5, P87
Porter G., 2008, Asia Times,
Lawrence S., 1999, Agents, P392
Bilenko M., 2003, Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery in Databases,
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Title:
Differences in Received Citations over Time and Across Fields in China
Authors:
Yang, SL; Qiu, JP; Ding, JD; Yu, HQ
Author Full Names:
Yang, Siluo; Qiu, Junping; Ding, Jinda; Yu, Houqiang
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 195-208; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
LIFE EXPECTANCY; UNCITEDNESS; SCIENCE
Abstract:
We analyse and compare the difference in discipline level of the
received citations over a period of time and across fields in China by
implementing the diachronous methods of bibliometrics. The citations of
896,645 papers from the Chinese Citation Database (1994 to 2013) that
comprised four disciplines, namely, Philosophy, Library and Information
Science (LIS), Physics, and Mechanical Engineering, are collected.
Results indicate the following conclusions. First, the received
citations strongly differ across various fields and over time. Second,
the average of the received citations after a given year has an
identical change. The number initially increases rapidly, and then
declines slightly in the recent years. Uncitedness rate decreases in the
early stage of the study period, whereas the rate stabilises or
increases slightly in the recent years. Third, the average of the
received citations peak after seven and nine years in mechanical
engineering and philosophy, respectively, whereas both physics and LIS
peak after three years. The span from the year of publication to the
cited peak is relatively stable in LIS for 20 years. However, the span
decreases in the early stage of the study period, and then stabilizes in
the recent years for the other three disciplines. Recently, all four
disciplines indicate relatively consistent citation trends. These
results highlight the recent evolution of Chinese research systems
towards relatively steady states.
Reprint Address:
Yang, SL (reprint author), Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
Addresses:
[Yang, Siluo; Qiu, Junping; Yu, Houqiang] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
[Ding, Jinda] Shanghai Univ, Dept Lib Informat & Arch, Shanghai 200444, Peoples R China.
E-mail Addresses:
58605025 at qq.com; 58605025 at qq.com; djdhyn at 126.com; 58605025 at qq.com
Cited Reference Count:
22
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700028
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Bornmann Lutz, 2010, JOURNAL OF INFORMETRICS, V4, P444
LINE MB, 1974, JOURNAL OF DOCUMENTATION, V30, P283
Lariviere Vincent, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P288
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Lariviere Vincent, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P858
Zhou Ping, 2009, SCIENTOMETRICS, V79, P593
HAMILTON DP, 1991, SCIENCE, V251, P25
Ketzler Rolf, 2013, SCIENTOMETRICS, V95, P1095
Egghe Leo, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P1637
Hammarfelt Bjorn, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P819
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Egghe L., 2010, SCIENTOMETRICS, V82, P243
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Title:
A Model for Publication and Citation Statistics of Individual Authors
Authors:
Glanzel, W; Heeffer, S; Thijs, B
Author Full Names:
Glanzel, Wolfgang; Heeffer, Sarah; Thijs, Bart
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 942-952; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
SCIENTIFIC LITERATURE; PERFORMANCE; JOURNALS
Abstract:
One of the most important requirements of building applicable models and
meaningful indicators for the use of scientometrics at the micro and
meso level is the correct identification and disambiguation of authors
and institutes. Platforms like ResearcherID or ORCID with author
registration providing high reliability but lower coverage now provide
appropriate data sets for the development and testing of stochastic
models describing the publication activity and citation impact of
individual authors. This paper proposes a triangular model incorporating
papers, citations and authors analogously to the dichotomous model used
at higher levels of aggregation like countries or fields. This model is
applied to a set of authors in any field of science identified by their
ResearcherID. However, the main advantage of classical citation
indicators to study citation impact under conditional productivity
turned out to be the main problem in this triangle: the possible
heterogeneity of the collaborating authors results in low robustness. A
mere technical solution to this problem would be fractional counting at
three levels, but the conceptual issue, the different roles of
co-authors causing this heterogeneity, will never be solved by any
algorithm.
Reprint Address:
Glanzel, W (reprint author), Katholieke Univ Leuven, ECOOM, Leuven, Belgium.Glanzel, W (reprint author), Katholieke Univ Leuven, Dept MSI, Leuven, Belgium.
Addresses:
[Glanzel, Wolfgang; Heeffer, Sarah; Thijs, Bart] Katholieke Univ Leuven, ECOOM, Leuven, Belgium.
[Glanzel, Wolfgang; Heeffer, Sarah; Thijs, Bart] Katholieke Univ Leuven, Dept MSI, Leuven, Belgium.
[Glanzel, Wolfgang] Hungarian Acad Sci, Dept Sci Policy & Scientometr, Budapest, Hungary.
E-mail Addresses:
wolfgang.glanzel at kuleuven.be; sarah.heeffer at kuleuven.be; bart.thijs at kuleuven.be
Cited Reference Count:
17
Times Cited:
1
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700142
Cited References:
Glanzel W, 2003, SCIENTOMETRICS, V56, P357
Moed HF, 1998, JOURNAL OF DOCUMENTATION, V54, P387
GLANZEL W, 1995, JOURNAL OF INFORMATION SCIENCE, V21, P37
PRICE D, 1976, INTERNATIONAL FORUM ON INFORMATION AND DOCUMENTATION, V1, P17
Glaenzel Wolfgang, 2014, SCIENTOMETRICS, V101, P939
GLANZEL W, 1994, SCIENTOMETRICS4th International Conference on Bibliometrics, Informetrics and Scientometrics, in Memory of Derek John de Solla Price (1922-1983), SEP 11-15, 1993, BERLIN, GERMANY, V30, P49
Strotmann Andreas, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P1820
Glaenzel Wolfgang, 2009, SCIENTOMETRICS, V78, P165
Braun T, 2001, SCIENTOMETRICS, V51, P499
Heeffer S., 2013, ISSI Newsletter, V9, P29
SCHUBERT A, 1984, SCIENTOMETRICS, V6, P149
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Caron E., 2014, Context Counts: Pathways to Master Big and Little DataProceedings of the STI Conference 2014, 2014, P79
Tang Li, 2010, SCIENTOMETRICS, V84, P763
Glaenzel Wolfgang, 2007, JOURNAL OF INFORMETRICS, V1, P92
Hirsch J. E., 2010, SCIENTOMETRICS, V85, P741
Schubert Andras, 2007, SCIENTOMETRICS, V70, P201
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Title:
Re-citation Analysis: A Promising Method for Improving Citation Analysis for Research Evaluation, Knowledge Network Analysis, Knowledge Representation and Information Retrieval
Authors:
Zhao, DZ; Strotmann, A
Author Full Names:
Zhao, Dangzhi; Strotmann, Andreas
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 1061-1065; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
CITER MOTIVATIONS; COMMUNICATION; REFERENCES; ACCURACY; TEXTS; MODEL
Abstract:
Citation analysis is used in research evaluation exercises around the
globe, directly affecting the lives of millions of researchers and the
expenditure of billions of dollars. It is therefore crucial to seriously
address the problems and limitations that plague it. Central amongst
critiques of the common practice of citation analysis has long been that
it treats all citations equally, be they crucial to the citing paper or
perfunctory. Weighting citations by their value to the citing paper has
long been proposed as a theoretically promising solution to this
problem. Recitation analysis proposes to tune out the large percentage
of perfunctory citations in a paper and tune in on crucial ones when
performing citation analysis, by ignoring uni-citations (mentioned just
once in a paper) and counting and analyzing only re-citations (used
again and again in a citing paper). By focusing on core connections in
knowledge networks, re-citation analysis can help research evaluation
become more sensitive to the distinction between essential and
perfunctory impact of research. It may benefit citation-link based
knowledge representation and retrieval systems with improved precision
by better capturing "aboutness" of articles, the essence of subject
indexing in knowledge representation and retrieval, rather than merely
providing "relatedness" information.
Reprint Address:
Zhao, DZ (reprint author), Univ Alberta, Sch Lib & Informat Studies, Edmonton, AB, Canada.
Addresses:
[Zhao, Dangzhi] Univ Alberta, Sch Lib & Informat Studies, Edmonton, AB, Canada.
[Strotmann, Andreas] ScienceXplore, D-01814 Bad Schandau, Germany.
E-mail Addresses:
dzhao at ualberta.ca; andreas.strotmann at gmail.com
Cited Reference Count:
32
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700155
Cited References:
Zhu Xiaodan, 2015, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V66, P408
Edge D, 1979, History of science; an annual review of literature, research and teaching, V17, P102
Cronin B., 1984, The Citation Process. The Role and Significance of Citations in Scientific Communication.,
Griffith B. C., 1990, Scholarly Communication and Bibliometrics, P33
Case DO, 2000, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V51, P635
SHADISH WR, 1995, SOCIAL STUDIES OF SCIENCE, V25, P477
SMALL HG, 1978, SOCIAL STUDIES OF SCIENCE, V8, P327
Jeong Yoo Kyung, 2014, JOURNAL OF INFORMETRICS, V8, P197
Tranoy K. E., 1980, Rationality in Science, P191
Ding Ying, 2011, INFORMATION PROCESSING & MANAGEMENT, V47, P80
SMALL HG, 1977, SOCIAL STUDIES OF SCIENCE, V7, P139
LIU MX, 1993, JOURNAL OF DOCUMENTATION, V49, P370
Hall BH, 2005, RAND JOURNAL OF ECONOMICS, V36, P16
Merton R. K., 1942, Journal of Legal and Political Sociology, V1, P115
CHUBIN DE, 1975, SOCIAL STUDIES OF SCIENCE, V5, P423
Ding Ying, 2013, JOURNAL OF INFORMETRICS, V7, P583
Narin F., 1976, Evaluative Bibliometrics: The Use of Publication and Citation Analysis in the Evaluation of Scientific Activity,
Teufel S., 2006, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, Stroudsburg, PA, USA., P103
VINKLER P, 1987, SCIENTOMETRICS, V12, P47
White H. D., 1990, Scholarly Communication and Bibliometrics, P84
PERITZ BC, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P448
Borgman CL, 2002, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V36, P3
Garfield E., 1979, Citation indexing - Its Theory and Application in Science, Technology, and Humanities,
Dubin D, 2004, LIBRARY TRENDS, V52, P748
Boyack Kevin W., 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1759
BROOKS TA, 1986, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V37, P34
BROOKS TA, 1985, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V36, P223
HERLACH G, 1978, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V29, P308
MORAVCSIK MJ, 1975, SOCIAL STUDIES OF SCIENCE, V5, P86
Hou Wen-Ru, 2011, BIOESSAYS, V33, P724
Small H., 1982, V3, P287
Zhao Dangzhi, 2016, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V67, P671
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Title:
The Most-Cited Articles of the 21st Century
Authors:
Sanz-Casado, E; Garcia-Zorita, C; Rousseau, R
Author Full Names:
Sanz-Casado, Elias; Garcia-Zorita, Carlos; Rousseau, Ronald
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 150-159; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
SCIENCE; IMPACT; CHINA
Abstract:
The aim of this paper is to collect the most-cited articles of the 21st
century and to study how this group changed over time. Here the term
"most-cited" is operationalized by considering yearly h-cores in the Web
of Science. These h-cores are analysed in terms of authors, research
areas, countries, institutions, journals and average number of authors
per paper. We only consider publications of article or proceedings type.
The research of some of the more prolific authors is on genetics and
genomes publishing in multidisciplinary journals, such as Nature and
Science, while the results show that writing a software tool for
crystallography or molecular biology may help collecting large numbers
of citations. English is the language of all articles in any h-core. The
core institutions are largely those best placed in most rankings of
world universities. Some attention is given on the relation between
h-core articles and the information sciences. We conclude by stating
that the notion of an h-core provides a new perspective on leading
countries, articles and scientists.
Reprint Address:
Sanz-Casado, E (reprint author), Univ Carlos III Madrid, Dept Lib & Informat Sci, Lab Metr Studies Informat LEMI, C Madrid 126, Madrid 28903, Spain.
Addresses:
[Sanz-Casado, Elias; Garcia-Zorita, Carlos] Univ Carlos III Madrid, Dept Lib & Informat Sci, Lab Metr Studies Informat LEMI, C Madrid 126, Madrid 28903, Spain.
[Sanz-Casado, Elias; Garcia-Zorita, Carlos] Autonomous Univ Madrid, Univ Carlos III Madrid, Res Inst Higher Educ & Sci INAECU, Madrid 28903, Spain.
[Rousseau, Ronald] Katholieke Univ Leuven, Dept Math, B-3000 Heverlee, Belgium.
[Rousseau, Ronald] Univ Antwerp, IBW, B-2000 Antwerp, Belgium.
E-mail Addresses:
elias.sanz at uc3m.es; czorita at bib.uc3m.es; ronald.rousseau at kuleuven.be
Cited Reference Count:
14
Times Cited:
1
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700024
Cited References:
Zhou P., 2008, ISSI Newsletter, V4, P7
Rousseau R., 2006, Science Focus, V1, P23
Jin BH., 2005, Proceedings of ISSI 2005, P362
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Glanzel W., 2005, P257
Zhou P, 2006, RESEARCH POLICY, V35, P83
Leydesdorff Loet, 2014, JOURNAL OF INFORMETRICS, V8, P606
Van Noorden Richard, 2014, NATURE, V514, P550
Rousseau R., 2014, ISSI Newsletter, V10, P63
Lozano George A., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2140
King DA, 2004, NATURE, V430, P311
Acharya A., 2014, arXiv:1410:2217v1.,
Bordons M, 2000, WEB OF KNOWLEDGE - A FESTSCHRIFT IN HONOR OF EUGENE GARFIELD, P197
Lariviere Vincent, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P649
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Title:
The Lack of Stability of the Impact Factor of the Mathematical Journals
Authors:
Ferrer-Sapena, A; Sanchez-Perez, EA; Peset, F; Gonzalez, LM;
Aleixandre-Benavent, R
Author Full Names:
Ferrer-Sapena, Antonia; Sanchez-Perez, Enrique A.; Peset, Fernanda;
Gonzalez, Luis-Millan; Aleixandre-Benavent, Rafael
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 415-416; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
Reprint Address:
Ferrer-Sapena, A (reprint author), Univ Politecn Valencia, Inst Diseno & Fabricac, Camino Vera S-N, E-46022 Valencia, Spain.
Addresses:
[Ferrer-Sapena, Antonia; Sanchez-Perez, Enrique A.; Peset, Fernanda] Univ Politecn Valencia, Inst Diseno & Fabricac, Camino Vera S-N, E-46022 Valencia, Spain.
[Gonzalez, Luis-Millan] Univ Valencia, Dept Educ Fis & Deporte, Valencia 46010, Spain.
[Aleixandre-Benavent, Rafael] Univ Valencia, Univ Politecn Valencia, CSIC, INGENIO,UISYS, Valencia 46003, Spain.
E-mail Addresses:
anfersa at upv.es; easancpe at mat.upv.es; mpesetm at upv.es; luis.m.gonzalez at uv.es; aleixand at uv.es
Cited Reference Count:
4
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700060
Cited References:
Aleixandre-Benavent Rafael, 2007, PROFESIONAL DE LA INFORMACION, V16, P4
Smolinsky Lawrence, 2012, SCIENTOMETRICS, V91, P911
Bensman Stephen J., 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P1440
Behrens Heinrich, 2011, SCIENTOMETRICS, V86, P179
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Title:
Can Numbers of Publications on a Specific Topic Observe the Research Trend of This Topic: A Case Study of the Biomarker HER-2?
Authors:
Liu, YX; Hopkins, M; Wu, YS
Author Full Names:
Liu, Yuxian; Hopkins, Michael; Wu, Yishan
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 879-889; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
BREAST-CANCER; NEU ONCOGENE; CITATION ANALYSIS; IMPACT FACTOR; TIME-SERIES; GENE; AMPLIFICATION; DIFFUSION; C-ERBB-2; RECEPTOR
Abstract:
Using the accumulative publication data on HER-2 and its trend line, we
draw the accumulative curve of the publication data. We discuss the
characteristics of the accumulative publication curve, and how these
characteristics change with respect to the different trend lines. We
find that the points that regression line and the publication curve
intersect with each other and the minimum points with respect to the
trend lines do not change very much in both exponential trend line and
linear trend line even if the exponential trend line raises itself much
faster than the linear trend line. These data points are formed around
the time when the significant discoveries are made and the related
regulations are executed. These significant discoveries and regulations
impact how and where the research should go and how the basic
discoveries influence their application. The accumulative publication
curve itself tells us very little about science. However the change of
the accumulative publication curve with respect to the trend lines may
tell us how science evolves. The content in the publications with
significant scientific value may change the direction and trend of
research, while research may change the publication trend the other way
round. We may say that important scientific discoveries and regulations
on clinical practice act as tipping points or act as drivers of change
in the rates of scientific publications on the topic of HER-2. This
induces us further to explore how scientific events drive the
publication process. We may expect that through the publication process,
we can monitor the scientific process.
Reprint Address:
Liu, YX (reprint author), Tongji Univ, Tongji Univ Lib, Siping St 1239, Shanghai 200092, Peoples R China.
Addresses:
[Liu, Yuxian] Tongji Univ, Tongji Univ Lib, Siping St 1239, Shanghai 200092, Peoples R China.
[Liu, Yuxian; Hopkins, Michael] Tongji Univ, Dev & Planning Res Ctr, Shanghai 200092, Peoples R China.
[Liu, Yuxian] Univ Sussex, Sch Business Management & Econ, SPRU, Brighton BN1 9SL, E Sussex, England.
[Wu, Yishan] Inst Sci & Tech Informat China, Beijing 100038, Peoples R China.
E-mail Addresses:
yxliu at tongji.edu.cn; m.m.hopkins at sussex.ac.uk; wuyishan at istic.ac.cn
Cited Reference Count:
31
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700134
Cited References:
Kumler Iben, 2014, CANCER TREATMENT REVIEWS, V40, P259
Inglesi-Lotz Roula, 2011, SCIENTOMETRICS, V88, P747
Liu Yuxian, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P340
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Title:
Re-citation Analysis: A Promising Method for Improving Citation Analysis for Research Evaluation, Knowledge Network Analysis, Knowledge Representation and Information Retrieval
Authors:
Zhao, DZ; Strotmann, A
Author Full Names:
Zhao, Dangzhi; Strotmann, Andreas
Edited by:
Salah AA; Tonta Y; Salah AAA; Sugimoto C; Al U
Source:
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE, 1061-1065; 2015
Book Series:
Proceedings of the International Conference on Scientometrics and Informetrics
Language:
English
Document Type:
Proceedings Paper
Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI) on Scientometrics and Informetrics
Conference Date:
JUN 29-JUL 04, 2015
Conference Location:
Bogazici Univ, Istanbul, TURKEY
Conference Sponsors:
Int Soc Scientometr & Informetr, Hacettepe Univ, Sci & Technol Res Council Turkey, Turkish Acad Network & Informat Ctr
Conference Host:
Bogazici Univ
KeyWords Plus:
CITER MOTIVATIONS; COMMUNICATION; REFERENCES; ACCURACY; TEXTS; MODEL
Abstract:
Citation analysis is used in research evaluation exercises around the
globe, directly affecting the lives of millions of researchers and the
expenditure of billions of dollars. It is therefore crucial to seriously
address the problems and limitations that plague it. Central amongst
critiques of the common practice of citation analysis has long been that
it treats all citations equally, be they crucial to the citing paper or
perfunctory. Weighting citations by their value to the citing paper has
long been proposed as a theoretically promising solution to this
problem. Recitation analysis proposes to tune out the large percentage
of perfunctory citations in a paper and tune in on crucial ones when
performing citation analysis, by ignoring uni-citations (mentioned just
once in a paper) and counting and analyzing only re-citations (used
again and again in a citing paper). By focusing on core connections in
knowledge networks, re-citation analysis can help research evaluation
become more sensitive to the distinction between essential and
perfunctory impact of research. It may benefit citation-link based
knowledge representation and retrieval systems with improved precision
by better capturing "aboutness" of articles, the essence of subject
indexing in knowledge representation and retrieval, rather than merely
providing "relatedness" information.
Reprint Address:
Zhao, DZ (reprint author), Univ Alberta, Sch Lib & Informat Studies, Edmonton, AB, Canada.
Addresses:
[Zhao, Dangzhi] Univ Alberta, Sch Lib & Informat Studies, Edmonton, AB, Canada.
[Strotmann, Andreas] ScienceXplore, D-01814 Bad Schandau, Germany.
E-mail Addresses:
dzhao at ualberta.ca; andreas.strotmann at gmail.com
Cited Reference Count:
32
Times Cited:
0
Publisher:
INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI, KATHOLIEKE UNIV LEUVEN, FACULTEIT E T E W, DEKENSTRAAT 2, LEUVEN, B-3000, BELGIUM
ISSN:
2175-1935
ISBN:
978-975-518-381-7
Web of Science Categories:
Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
BF2TX
Unique ID:
WOS:000380499700155
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Title:
Worldwide research productivity on tramadol: a bibliometric analysis
Authors:
Sweileh, WM; Shraim, NY; Zyoud, SH; Al-Jabi, SW
Author Full Names:
Sweileh, Waleed M.; Shraim, Naser Y.; Zyoud, Sa'ed H.; Al-Jabi, Samah W.
Source:
SPRINGERPLUS, 5 10.1186/s40064-016-2801-5 JUL 19 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliometric, Tramadol, Scopus, Pain management
KeyWords Plus:
ATYPICAL OPIOID TAPENTADOL; DOUBLE-BLIND; PREMATURE EJACULATION; PERIOD 2003-2012; PAIN RESEARCH; SCIENTIFIC PUBLICATIONS; BASIC PHARMACOLOGY; SEROTONIN SYNDROME; PROLONGED-RELEASE; EPILEPTIC SEIZURE
Abstract:
Background: Pain management and safe use of analgesics is an important
medical issue. Tramadol is an old analgesic with controversial
properties. Evaluation of worldwide scientific output on tramadol has
not been explored. Therefore, the main objective of this study was to
give a bibliometric overview of global research productivity on
tramadol.
Methods: SciVerse Scopus was used to retrieve and quantitatively and
qualitatively analyze worldwide publications on tramadol.
Results: A total of 2059 original and review research articles on
tramadol were retrieved from Scopus. Forty-six documents (2.23 %) were
published in Anesthesia and Analgesia Journal whereas 30 (1.46 %) were
published in Arzneimittel Forschung Drug Research Journal. Retrieved
tramadol documents were published from 71 countries and appeared in 160
peer reviewed journals. Although the United States of America (259;
12.86 %) had the largest contribution to tramadol publications; the
contribution by other countries like Turkey (232; 11.27) India (189;
8.09 %) and Germany (176; 8.56 % was not far away from that of USA. The
most productive institution was Grunenthal, Germany (47; 2.28 %)
followed by Tehran University of Medical Sciences, Iran (29; 1.41 %),
and, Ortho-McNeil Pharmaceutical Incorporated, USA (25; 1.21 %). Of the
2059 documents, there were 370 documents about dependence. The leading
institution in documents pertaining to tramadol dependence was
Grunenthal GmbH (18; 4.86 %) followed by Ortho-McNeil Pharmaceutical
Incorporated (17; 4.59 %).
Conclusions: The current study showed that there is an obvious interest
in tramadol research. More efforts are needed to clarify the abuse
potential and safety profile of tramadol to help in determining the
legal status of tramadol. Collaboration among pharmaceutical industry,
clinical researchers and academic institutions can improve research
quantity and quality on tramadol.
Reprint Address:
Sweileh, WM (reprint author), An Najah Natl Univ, Coll Med & Hlth Sci, Dept Pharmacol Toxicol, IL-44839 Nablus, Israel.
Addresses:
[Sweileh, Waleed M.] An Najah Natl Univ, Coll Med & Hlth Sci, Dept Pharmacol Toxicol, IL-44839 Nablus, Israel.
[Shraim, Naser Y.] An Najah Natl Univ, Coll Med & Hlth Sci, Dept Pharmaceut Chem & Technol, IL-44839 Nablus, Israel.
[Zyoud, Sa'ed H.; Al-Jabi, Samah W.] An Najah Natl Univ, Coll Med & Hlth Sci, Dept Clin & Community Pharm, IL-44839 Nablus, Israel.
E-mail Addresses:
waleedsweileh at yahoo.com
Cited Reference Count:
90
Times Cited:
0
Publisher:
SPRINGER INTERNATIONAL PUBLISHING AG, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
ISSN:
2193-1801
Article Number:
1108
Web of Science Categories:
Multidisciplinary Sciences
Research Areas:
Science & Technology - Other Topics
IDS Number:
DT7AF
Unique ID:
WOS:000381635900001
PubMed ID:
27478725
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Title:
Influential journals in health research: a bibliometric study
Authors:
Merigo, JM; Nunez, A
Author Full Names:
Merigo, Jose M.; Nunez, Alicia
Source:
GLOBALIZATION AND HEALTH, 12 10.1186/s12992-016-0186-4 AUG 22 2016
Language:
English
Document Type:
Article
Author Keywords:
Health, Bibliometrics, Journals, Web of Science
KeyWords Plus:
PUBLIC-HEALTH; OCCUPATIONAL-HEALTH; SCIENTIFIC PRODUCTION; LATIN-AMERICA; PREVENTIVE MEDICINE; RESEARCH OUTPUT; IMPACT-FACTOR; EPIDEMIOLOGY; INDICATORS; ARTICLES
Abstract:
Background: There is a wide range of intellectual work written about
health research, which has been shaped by the evolution of diseases.
This study aims to identify the leading journals over the last 25 years
(1990-2014) according to a wide range of bibliometric indicators.
Methods: The study develops a bibliometric overview of all the journals
that are currently indexed in Web of Science (WoS) database in any of
the four categories connected to health research. The work classifies
health research in nine subfields: Public Health, Environmental and
Occupational Health, Health Management and Economics, Health Promotion
and Health Behavior, Epidemiology, Health Policy and Services, Medicine,
Health Informatics, Engineering and Technology, and Primary Care.
Results: The results indicate a wide dispersion between categories being
the American Journal of Epidemiology, Environmental Health Perspectives,
American Journal of Public Health, and Social Science & Medicine, the
journals that have received the highest number of citations over the
last 25 years. According to other indicators such as the h-index and the
citations per paper, some other journals such as the Annual Review of
Public Health and Medical Care, obtain better results which show the
wide diversity and profiles of outlets available in the scientific
community. The results are grouped and studied according to the nine
subfields in order to identify the leading journals in each specific sub
discipline of health.
Conclusions: The work identifies the leading journals in health research
through a bibliometric approach. The analysis shows a deep overview of
the results of health journals. It is worth noting that many journals
have entered the WoS database during the last years, in many cases to
fill some specific niche that has emerged in the literature, although
the most popular ones have been in the database for a long time.
Reprint Address:
Nunez, A (reprint author), Univ Chile, Sch Business & Econ, Dept Management Control & Informat Syst, Diagonal Paraguay 257,Off 2004, Santiago, Chile.
Addresses:
[Merigo, Jose M.; Nunez, Alicia] Univ Chile, Sch Business & Econ, Dept Management Control & Informat Syst, Diagonal Paraguay 257,Off 2004, Santiago, Chile.
E-mail Addresses:
anunez at fen.uchile.cl
Cited Reference Count:
48
Times Cited:
0
Publisher:
BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND
ISSN:
1744-8603
Article Number:
46
Web of Science Categories:
Public, Environmental & Occupational Health
Research Areas:
Public, Environmental & Occupational Health
IDS Number:
DT8FH
Unique ID:
WOS:000381724400003
PubMed ID:
27550071
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Title:
Predicting Citation Counts of Papers
Authors:
Chen, JP; Zhang, CX
Author Full Names:
Chen, Junpeng; Zhang, Chunxia
Edited by:
Ge N; Lu J; Wang Y; Howard N; Chen P; Tao X; Zhang B; Zadeh LA
Source:
PROCEEDINGS OF 2015 IEEE 14TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC), 434-440; 2015
Language:
English
Document Type:
Proceedings Paper
Conference Title:
14th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC)
Conference Date:
JUL 06-08, 2015
Conference Location:
Beijing, PEOPLES R CHINA
Conference Sponsors:
IEEE, ICIC, IEEE Comp Soc, IEEE Comp Intelligence Soc, Tsinghua Univ, IEEE CS CIS, ICIC
Author Keywords:
citation counts prediction, IBM Model 1, bipartite network projection, Gradient Boosted Regression Trees
KeyWords Plus:
INDEX
Abstract:
The task of citation counts prediction is to predict the citation counts
of a paper after a given time period. Future citation counts of papers
are an important metric to estimate potential influences of published
papers, and will be helpful for researchers to choose representative
literatures. This task can be treated as a regression problem. This
paper proposes two types of predictive features to represent fundamental
characteristics of papers and authors: six content features and ten
author features. We introduce the IBM Model 1 to calculate the
association probabilities between paper topics which are employed to
extract content features, and use the bipartite network projection to
obtain the author collaboration network which is utilized to extract
author features. Further, we introduce the Gradient Boosted Regression
Trees to predict citation counts of papers. Our approach combines
contents and topics of papers and multi-dimensional measures of author
collaborations in one learning process. Experimental results on the KDD
CUP dataset demonstrate that our predicting features and models are
effective to solve the problem of citation counts prediction of papers.
Reprint Address:
Chen, JP (reprint author), Beijing Inst Technol, Sch Software, Beijing, Peoples R China.
Addresses:
[Chen, Junpeng; Zhang, Chunxia] Beijing Inst Technol, Sch Software, Beijing, Peoples R China.
E-mail Addresses:
chenjp at bit.edu.cn; cxzhang at bit.edu.cn
Cited Reference Count:
18
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISBN:
978-1-4673-7290-9
Web of Science Categories:
Computer Science, Hardware & Architecture; Computer Science, Theory & Methods
Research Areas:
Computer Science
IDS Number:
BF2GR
Unique ID:
WOS:000380466100067
Cited References:
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Lu Y., 2011, Proceedings of the 20th ACM international conference on Information and knowledge management,
Castillo C., 2007, String processing and information retrieval,
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Title:
The bibliometric indicators as predictors of the final decision of the peer review
Authors:
Vieira, ES; Gomes, JANF
Author Full Names:
Vieira, Elizabeth S.; Gomes, Jose A. N. F.
Source:
RESEARCH EVALUATION, 25 (2):170-183; 10.1093/reseval/rvv037 APR 2016
Language:
English
Document Type:
Article
Author Keywords:
peer review, bibliometric indicators, logistic regression, auxiliary instrument, margins
KeyWords Plus:
ASSESSMENT EXERCISE RATINGS; CITATION COUNTS; COMPUTER-SCIENCE; UNIVERSITY; INDEX; INFORMATION; ARCHAEOLOGY; VALIDATION; EXPERIENCE; METRICS
Abstract:
Peer review of candidates' proposals for research position is generally
used as the best method available to select the most promising
researchers, but it is very costly and has its limitations. This article
analyzes to what extent bibliometric indicators can predict the results
of the peer review exercise using the example of a particular selection
process. Two composite indicators are found to be strongly correlated
with peer review-based decisions. We calculated that the probability of
the estimated prediction, as determined by the composite indicators, for
a selected applicant to be higher than the estimated prediction
determined for a rejected applicant is about 75%.
Reprint Address:
Vieira, ES (reprint author), Univ Porto, Fac Ciencias, Dept Quim & Bioquim, REQUIMTE, Rua Campo Alegre,687, P-4169007 Oporto, Portugal.
Addresses:
[Vieira, Elizabeth S.; Gomes, Jose A. N. F.] Univ Porto, Fac Ciencias, Dept Quim & Bioquim, REQUIMTE, Rua Campo Alegre,687, P-4169007 Oporto, Portugal.
E-mail Addresses:
elizabeth.vieira at fc.up.pt
Cited Reference Count:
38
Times Cited:
0
Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
ISSN:
0958-2029
eISSN:
1471-5449
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DT1XB
Unique ID:
WOS:000381274300006
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Title:
Beware the impact factor
Authors:
Noone, KJ
Author Full Names:
Noone, Kevin J.
Source:
AMBIO, 45 (5):513-515; 10.1007/s13280-016-0777-6 SEP 2016
Language:
English
Document Type:
Editorial Material
KeyWords Plus:
SCIENTIFIC-RESEARCH OUTPUT; AEROSOLS
Reprint Address:
Noone, KJ (reprint author), Stockholm Univ, Environm Sci & Analyt Chem ACES, S-10691 Stockholm, Sweden.
Addresses:
[Noone, Kevin J.] Stockholm Univ, Environm Sci & Analyt Chem ACES, S-10691 Stockholm, Sweden.
E-mail Addresses:
kevin.noone at aces.su.se
ORCID Numbers:
Noone, Kevin/0000-0001-7095-7412
Cited Reference Count:
11
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0044-7447
eISSN:
1654-7209
Web of Science Categories:
Engineering, Environmental; Environmental Sciences
Research Areas:
Engineering; Environmental Sciences & Ecology
IDS Number:
DT6GD
Unique ID:
WOS:000381580800001
PubMed ID:
27020688
Cited References:
Moussa Salim, 2010, JOURNAL OF INFORMETRICS, V4, P107
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Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90
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*Order Full Text [ ]
Title:
A Co-Citation Network of Young Children's Learning with Technology
Authors:
Tang, KY; Li, MC; Hsin, CT; Tsai, CC
Author Full Names:
Tang, Kai-Yu; Li, Ming-Chaun; Hsin, Ching-Ting; Tsai, Chin-Chung
Source:
EDUCATIONAL TECHNOLOGY & SOCIETY, 19 (3):294-305; SI JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Young children's learning with technology (YCLT), Document co-citation analysis, Social network analysis, Literature review
KeyWords Plus:
PRESCHOOL MATHEMATICS CURRICULUM; COMPUTER-ASSISTED-INSTRUCTION; SCALE-UP MODEL; LONGITUDINAL EVALUATION; PHONOLOGICAL AWARENESS; INTELLECTUAL STRUCTURE; TEACHING MATHEMATICS; INTERVENTION; EDUCATION; LITERACY
Abstract:
This paper used a novel literature review approach-co-citation network
analysis-to illuminate the latent structure of 87 empirical papers in
the field of young children's learning with technology (YCLT). Based on
the document co-citation analysis, a total of 206 co-citation
relationships among the 87 papers were identified and then graphically
visualized as a network diagram. Accordingly, the five most highly
co-cited pairs in the cocitation network were identified. Moreover,
seven research streams in the network (three located in the main
component, four scattered in the peripheral area) were characterized
based on a general assessment of the document research domains. Of
these, "technology-assisted language learning" was denoted as the main
stream, and "digital literacy" (active from 2008 to 2013) was identified
as the emerging stream of the YCLT research network. Looking inside, the
six most central papers within the above two research streams were
recognized in terms of centrality measures. Furthermore, on the basis of
the analysis of follow-up research, the current and future extension
research topics are discussed.
Reprint Address:
Tsai, CC (reprint author), Natl Taiwan Univ Sci & Technol, Grad Inst Digital Learning & Educ, Taipei, Taiwan.
Addresses:
[Tang, Kai-Yu; Tsai, Chin-Chung] Natl Taiwan Univ Sci & Technol, Grad Inst Digital Learning & Educ, Taipei, Taiwan.
[Li, Ming-Chaun] Natl Taiwan Univ Sci & Technol, Grad Inst Appl Sci & Technol, Taipei, Taiwan.
[Hsin, Ching-Ting] Natl Hsinchu Univ Educ, Dept Early Childhood Educ, Hsinchu, Taiwan.
E-mail Addresses:
ky.nctu at gmail.com; mli1tw at gmail.com; cthsin at mail.nhcue.edu.tw; cctsai at mail.ntust.edu.tw
Funding Acknowledgement:
Ministry of Science and Technology, Taiwan [MOST 101-2511-S-011-003-MY3, 104-2517-S-011-001-MY3, MOST 104-2511-S-011-004-MY3]
Funding Text:
This research is partially supported by the Ministry of Science and Technology, Taiwan, under Grant number MOST 101-2511-S-011-003-MY3, 104-2517-S-011-001-MY3, and MOST 104-2511-S-011-004-MY3.
Cited Reference Count:
39
Times Cited:
0
Publisher:
IEEE COMPUTER SOC, LEARNING TECHNOLOGY TASK FORCE, BAG 11-222, MASSEY UNIVERSITY, PALMERSTON NORTH, NEW ZEALAND
ISSN:
1436-4522
Web of Science Categories:
Education & Educational Research
Research Areas:
Education & Educational Research
IDS Number:
DW0SW
Unique ID:
WOS:000383353700026
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Title:
The Power-Law Relationship Between Citation-Based Performance and Collaboration in Articles in Management Journals: A Scale-Independent Approach
Authors:
Ronda-Pupo, GA; Katz, JS
Author Full Names:
Armando Ronda-Pupo, Guillermo; Katz, J. Sylvan
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 67 (10):2565-2572; 10.1002/asi.23575 OCT 2016
Language:
English
Document Type:
Article
Author Keywords:
collaboration
KeyWords Plus:
INTERNATIONAL COLLABORATION; NETWORK ANALYSIS; RESEARCH IMPACT; AUTHORED PAPERS; CO-AUTHORSHIP; SCIENCE; QUALITY; PERSPECTIVE; ECONOMICS; PATTERNS
Abstract:
The objective of this article is to determine if academic collaboration
is associated with the citation-based performance of articles that are
published in management journals. We analyzed 127,812 articles published
between 1988 and 2013 in 173 journals on the ISI Web of Science in the
management category. Collaboration occurred in approximately 60% of all
articles. A power-law relationship was found between citation-based
performance and journal size and collaboration patterns. The number of
citations expected by collaborative articles increases 2(1.89) or 3.7
times when the number of collaborative articles published in a journal
doubles. The number of citations expected by noncollaborative articles
only increases 2(1.35) or 2.55 times if a journal publishes double the
number of noncollaborative articles. The Matthew effect is stronger for
collaborative than for noncollaborative articles. Scale-independent
indicators increase the confidence in the evaluation of the impact of
the articles published in management journals.
Reprint Address:
Ronda-Pupo, GA (reprint author), Univ Catolica Norte, Dept Adm, Antofagasta 1240000, Chile.Ronda-Pupo, GA (reprint author), Univ Holguin, Dept Turismo, Holguin 80100, Cuba.
Addresses:
[Armando Ronda-Pupo, Guillermo] Univ Catolica Norte, Dept Adm, Antofagasta 1240000, Chile.
[Armando Ronda-Pupo, Guillermo] Univ Holguin, Dept Turismo, Holguin 80100, Cuba.
[Katz, J. Sylvan] Univ Sussex, SPRU, Jubilee Bldg, Brighton BN1 9SL, E Sussex, England.
[Katz, J. Sylvan] Johnson Shoyama Grad Sch Publ Policy, Univ Saskatchewan Campus,Diefenbaker Bldg, Saskatoon, SK S7N 5B8, Canada.
E-mail Addresses:
gronda at ucn.cl; j.s.katz at sussex.ac.uk
Funding Acknowledgement:
Universidad Catolica del Norte, Chile [40101001]
Funding Text:
This research was partially financed by project 40101001 of the Universidad Catolica del Norte, Chile.
Cited Reference Count:
59
Times Cited:
1
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
2330-1635
eISSN:
2330-1643
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DX6QV
Unique ID:
WOS:000384509100019
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Title:
H-index manipulation by merging articles: Models, theory, and experiments
Authors:
Bevern, R; Komusiewicz, C; Niedermeier, R; Sorge, M; Walsh, T
Author Full Names:
van Bevern, Rene; Komusiewicz, Christian; Niedermeier, Rolf; Sorge,
Manuel; Walsh, Toby
Source:
ARTIFICIAL INTELLIGENCE, 240 19-35; 10.1016/j.artint.2016.08.001 NOV 2016
Language:
English
Document Type:
Article
Author Keywords:
Citation index, Hirsch index, Parameterized complexity, Exact algorithms, AI's 10 to watch
KeyWords Plus:
COMPUTATIONAL-COMPLEXITY; GOOGLE SCHOLAR; HIRSCH-INDEX; PUBLICATIONS
Abstract:
An author's profile on Google Scholar consists of indexed articles and
associated data, such as the number of citations and the H-index. The
author is allowed to merge articles; this may affect the H-index. We
analyze the (parameterized) computational complexity of maximizing the
H-index using article merges. Herein, to model realistic manipulation
scenarios, we define a compatibility graph whose edges correspond to
plausible merges. Moreover, we consider several different measures for
computing the citation count of a merged article. For the measure used
by Google Scholar, we give an algorithm that maximizes the H-index in
linear time if the compatibility graph has constant-size connected
components. In contrast, if we allow to merge arbitrary articles (that
is, for compatibility graphs that are cliques), then already increasing
the H-index by one is NP-hard. Experiments on Google Scholar profiles of
AI researchers show that the H-index can be manipulated substantially
only if one merges articles with highly dissimilar titles. (C) 2016
Elsevier B.V. All rights reserved.
Reprint Address:
Bevern, R (reprint author), Novosibirsk State Univ, Ul Pirogova 2, Novosibirsk 630090, Russia.
Addresses:
[van Bevern, Rene] Novosibirsk State Univ, Ul Pirogova 2, Novosibirsk 630090, Russia.
[van Bevern, Rene] Russian Acad Sci, Siberian Branch, Sobolev Inst Math, Novosibirsk, Russia.
[Komusiewicz, Christian] Univ Jena, Inst Informat, D-07745 Jena, Germany.
[van Bevern, Rene; Komusiewicz, Christian; Niedermeier, Rolf; Sorge, Manuel; Walsh, Toby] TU Berlin, Inst Softwaretech & Theoret Informat, Berlin, Germany.
[Walsh, Toby] Univ New South Wales, Sydney, NSW, Australia.
[Walsh, Toby] Data61, Sydney, NSW, Australia.
E-mail Addresses:
rvb at nsu.ru; christian.komusiewicz at uni-jena.de; rolf.niedermeier at tu-berlin.de; manuel.sorge at tu-berlin.de; toby.walsh at nicta.com.au
Funding Acknowledgement:
German Research Foundation (DFG), project DAPA [NI 369/12]; Russian Foundation for Basic Research (RFBR) [16-31-60007 mol_a_dk]; DFG project MAGZ [KO 3669/4-1]; Alexander von Humboldt Foundation, Bonn, Germany
Funding Text:
Rene van Bevern was supported by the German Research Foundation (DFG), project DAPA (NI 369/12), at TU Berlin, and by the Russian Foundation for Basic Research (RFBR), project 16-31-60007 mol_a_dk, at Novosibirsk State University. Christian Komusiewicz was supported by the DFG project MAGZ (KO 3669/4-1) and Manuel Sorge was supported by the DFG project DAPA (NI 369/12). Toby Walsh was supported by the Alexander von Humboldt Foundation, Bonn, Germany, while at TU Berlin. The main work was done while Toby Walsh was affiliated with University of New South Wales and Data61, Sydney, Australia.
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0004-3702
eISSN:
1872-7921
Web of Science Categories:
Computer Science, Artificial Intelligence
Research Areas:
Computer Science
IDS Number:
DY1JM
Unique ID:
WOS:000384851300002
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Title:
High-Impact Social Work Scholars: A Bibliometric Examination of SSWR and AASWSW Fellows
Authors:
Hodge, DR; Kremer, KP; Vaughn, MG
Author Full Names:
Hodge, David R.; Kremer, Kristen P.; Vaughn, Michael G.
Source:
RESEARCH ON SOCIAL WORK PRACTICE, 26 (7):751-761; 10.1177/1049731516645929 NOV 2016
Language:
English
Document Type:
Article
Author Keywords:
high-impact scholars, scientific impact, bibliometrics, social work scholarship
KeyWords Plus:
H-INDEX; CITATION ANALYSIS; GOOGLE SCHOLAR; ACADEMIC AFFILIATIONS; DISCIPLINARY JOURNALS; PSYCHOLOGY FACULTY; EDITORIAL-BOARD; PRODUCTIVITY; PUBLICATIONS; SCHOOLS
Abstract:
Objective: The purpose of this study was to identify and describe the
bibliometric contributions of high-impact social work faculty.
Methods: Toward this end, we used a sample comprising fellows (N = 143)
affiliated with the Society for Social Work and Research (SSWR) and the
American Academy of Social Work and Social Welfare (AASWSW). To quantify
impact, we relied primarily upon the h-index (a measure of lifetime
scholarly impact) and the m-index (which adjusts for career length).
Results: Analyses revealed the mean h-index value for SSWR fellows (M =
26.44, SD = 14.72) was substantially lower than the mean for AASWSW
fellows (M = 32.52, SD = 15.96), but minimal differences existed in
m-index values. H- and m-index values for the 40 highest impact scholars
ranged, respectively, from 33 to 93 and 1.13 to 3.33.
Conclusions: The results indicate the social work profession includes
many researchers who are making an exceptional scientific impact.
Reprint Address:
Hodge, DR (reprint author), CoPP, Sch Social Work, Mail Code 3920,411 N Cent Ave,Suite 800, Phoenix, AZ 85004 USA.
Addresses:
[Hodge, David R.] Arizona State Univ, Phoenix, AZ USA.
[Hodge, David R.] Univ Penn, Philadelphia, PA 19104 USA.
[Kremer, Kristen P.; Vaughn, Michael G.] St Louis Univ, St Louis, MO 63103 USA.
E-mail Addresses:
DavidHodge at asu.edu
Cited Reference Count:
55
Times Cited:
0
Publisher:
SAGE PUBLICATIONS INC, 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
ISSN:
1049-7315
eISSN:
1552-7581
Web of Science Categories:
Social Work
Research Areas:
Social Work
IDS Number:
DY1AH
Unique ID:
WOS:000384826800002
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*Order Full Text [ ]
Title:
Author Practices in Citing Other Authors, Institutions, and Journals
Authors:
Gazni, A; Ghaseminik, Z
Author Full Names:
Gazni, Ali; Ghaseminik, Zahra
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 67 (10):2536-2549; 10.1002/asi.23580 OCT 2016
Language:
English
Document Type:
Article
Author Keywords:
citation analysis
KeyWords Plus:
CITATION ANALYSIS; SOCIAL-STRUCTURE; DISAMBIGUATION; PATTERNS; SCIENCE; CITERS; MODEL
Abstract:
This study explores the extent to which authors with different impact
and productivity levels cite journals, institutions, and other authors
through an analysis of the scientific papers of 37,717 authors during
1990-2013. The results demonstrate that the core-scatter distribution of
cited authors, institutions, and journals varies for authors in each
impact and productivity class. All authors in the science network
receive the majority of their credit from high-impact authors; however,
this effect decreases as authors' impact levels decrease. Similarly, the
proportion of citations that lower-impact authors make to each other
increases as authors' impact levels decrease. High-impact authors, who
have the highest degree of membership in the science network, publish
fewer papers in comparison to highly productive authors. However,
authors with the highest impact make both more references per paper and
also more citations to papers in the science network. This suggests that
high-impact authors produce the most relevant work in the science
network. Comparing practices by productivity level, authors receive the
majority of their credit from highly productive authors and authors cite
highly productive authors more frequently than less productive authors.
Reprint Address:
Gazni, A (reprint author), Islamic World Sci Citat Ctr, Shiraz, Iran.Gazni, A (reprint author), Reg Informat Ctr Sci & Technol, Shiraz, Iran.
Addresses:
[Gazni, Ali; Ghaseminik, Zahra] Islamic World Sci Citat Ctr, Shiraz, Iran.
[Gazni, Ali] Reg Informat Ctr Sci & Technol, Shiraz, Iran.
E-mail Addresses:
ali.gazni at isc.gov.ir; ghaseminik at isc.gov.ir
Cited Reference Count:
50
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
2330-1635
eISSN:
2330-1643
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DX6QV
Unique ID:
WOS:000384509100017
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Title:
Map of Science with Topic Modeling: Comparison of Unsupervised Learning and Human-Assigned Subject Classification
Authors:
Suominen, A; Toivanen, H
Author Full Names:
Suominen, Arho; Toivanen, Hannes
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 67 (10):2464-2476; 10.1002/asi.23596 OCT 2016
Language:
English
Document Type:
Article
Author Keywords:
machine learning, automatic classification, text mining
KeyWords Plus:
INFORMATION-RETRIEVAL; WORD ANALYSIS; CATEGORIES; COCITATION; INDICATORS; JOURNALS; REPRESENTATIONS; SCIENTOMETRICS; BIBLIOMETRICS; CITATION
Abstract:
The delineation of coordinates is fundamental for the cartography of
science, and accurate and credible classification of scientific
knowledge presents a persistent challenge in this regard. We present a
map of Finnish science based on unsupervised-learning classification,
and discuss the advantages and disadvantages of this approach vis-a-vis
those generated by human reasoning. We conclude that from theoretical
and practical perspectives there exist several challenges for human
reasoning-based classification frameworks of scientific knowledge, as
they typically try to fit new-to-the-world knowledge into historical
models of scientific knowledge, and cannot easily be deployed for new
large-scale data sets. Automated classification schemes, in contrast,
generate classification models only from the available text corpus,
thereby identifying credibly novel bodies of knowledge. They also lend
themselves to versatile large-scale data analysis, and enable a range of
Big Data possibilities. However, we also argue that it is neither
possible nor fruitful to declare one or another method a superior
approach in terms of realism to classify scientific knowledge, and we
believe that the merits of each approach are dependent on the practical
objectives of analysis.
Reprint Address:
Suominen, A (reprint author), VTT Tech Res Ctr Finland, Innovat Policy & Econ, POB 1000, Espoo 02044, Finland.
Addresses:
[Suominen, Arho; Toivanen, Hannes] VTT Tech Res Ctr Finland, Innovat Policy & Econ, POB 1000, Espoo 02044, Finland.
[Toivanen, Hannes] Lappeenranta Univ Technol, Sch Business, POB 20, Lappeenranta 53851, Finland.
E-mail Addresses:
arho.suominen at vtt.fi; hannes.toivanen at vtt.fi
Funding Acknowledgement:
Tekes-the Finnish Funding Agency for Technology and Innovation [2004/31/2011]
Funding Text:
Tekes-the Finnish Funding Agency for Technology and Innovation-supported this work with the research grant (2004/31/2011) awarded for the project "Co-evolution of knowledge creation systems and innovation pipelines". The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Cited Reference Count:
50
Times Cited:
0
Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN:
2330-1635
eISSN:
2330-1643
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DX6QV
Unique ID:
WOS:000384509100012
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Title:
A bibliometric analysis of 20 years of research on software product lines
Authors:
Heradio, R; Perez-Morago, H; Fernandez-Amoros, D; Cabrerizo, FJ;
Herrera-Viedma, E
Author Full Names:
Heradio, Ruben; Perez-Morago, Hector; Fernandez-Amoros, David; Javier
Cabrerizo, Francisco; Herrera-Viedma, Enrique
Source:
INFORMATION AND SOFTWARE TECHNOLOGY, 72 1-15; 10.1016/j.infsof.2015.11.004 APR 2016
Language:
English
Document Type:
Article
Author Keywords:
Software product lines, Bibliometrics, Science mapping, Performance analysis
KeyWords Plus:
CO-WORD ANALYSIS; DOMAIN-SPECIFIC LANGUAGE; CITATION-CLASSICS; FEATURE MODELS; SIMILARITY MEASURES; GOOGLE-SCHOLAR; AUTOMATED-ANALYSIS; H-INDEX; SCIENCE; VARIABILITY
Abstract:
Context: Software product line engineering has proven to be an efficient
paradigm to developing families of similar software systems at lower
costs, in shorter time, and with higher quality.
Objective: This paper analyzes the literature on product lines from 1995
to 2014, identifying the most influential publications, the most
researched topics, and how the interest in those topics has evolved
along the way.
Method: Bibliographic data have been gathered from ISI Web of Science
and Scopus. The data have been examined using two prominent bibliometric
approaches: science mapping and performance analysis.
Results: According to the study carried out, (i) software architecture
was the initial motor of research in SPL; (ii) work on systematic
software reuse has been essential for the development of the area; and
(iii) feature modeling has been the most important topic for the last
fifteen years, having the best evolution behavior in terms of number of
published papers and received citations.
Conclusion: Science mapping has been used to identify the main
researched topics, the evolution of the interest in those topics and the
relationships among topics. Performance analysis has been used to
recognize the most influential papers, the journals and conferences that
have published most papers, how numerous is the literature on product
lines and what is its distribution over time. (C) 2015 Elsevier B.V. All
rights reserved.
Reprint Address:
Heradio, R (reprint author), Univ Nacl Educ Distancia, Dept Software Engn & Comp Syst, E-28040 Madrid, Spain.
Addresses:
[Heradio, Ruben; Perez-Morago, Hector; Fernandez-Amoros, David; Javier Cabrerizo, Francisco] Univ Nacl Educ Distancia, Dept Software Engn & Comp Syst, E-28040 Madrid, Spain.
[Herrera-Viedma, Enrique] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain.
E-mail Addresses:
rheradio at issi.uned.es; hperez at issi.uned.es; david at issi.uned.es; cabrerizo at issi.uned.es; viedma at decsai.ugr.es
Funding Acknowledgement:
Spanish Government under the CICYT project [DPI-2013-44776-R]; Comunidad de Madrid under the RoboCity excellence research network [S2013MIT-2748]; FEDER funds [TIN2010-17876, TIN2013-40658-P]; Andalusian Excellence Projects [TIC 05299, TIC-5991]
Funding Text:
This work has been supported by the Spanish Government under the CICYT project DPI-2013-44776-R, the Comunidad de Madrid under the RoboCity2030 excellence research network S2013MIT-2748, the FEDER funds under grant TIN2010-17876 and grant TIN2013-40658-P, and the Andalusian Excellence Projects under grant TIC 05299 and grant TIC-5991.
Cited Reference Count:
175
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0950-5849
eISSN:
1873-6025
Web of Science Categories:
Computer Science, Information Systems; Computer Science, Software Engineering
Research Areas:
Computer Science
IDS Number:
DX9HP
Unique ID:
WOS:000384704500001
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*Order Full Text [ ]
Title:
Detection of Computer-Generated Papers in Scientific Literature
Authors:
Labbe, C; Labbe, D; Portet, F
Author Full Names:
Labbe, Cyril; Labbe, Dominique; Portet, Francois
Edited by:
DegliEsposti M; Altmann EG; Pachet F
Source:
CREATIVITY AND UNIVERSALITY IN LANGUAGE, 123-141; 10.1007/978-3-319-24403-7_8 2016
Book Series:
Lecture Notes in Morphogenesis
Language:
English
Document Type:
Article; Book Chapter
Abstract:
Meaningless computer-generated scientific texts can be used in several
ways. For example, they have allowed Ike Antkare to become one of the
most highly cited scientists of the modern world. Such fake publications
are also appearing in real scientific conferences and, as a result, in
the bibliographic services (Scopus, ISI Web of Knowledge, Google
Scholar, etc.). Recently, more than 120 papers have been withdrawn from
subscription databases of two high-profile publishers, IEEE and
Springer, because they were computer generated, thanks to the SCIgen
software. This software, based on a probabilistic context-free grammar
(PCFG), was designed to randomly generate computer science research
papers. Together with PCFG, Markov chains (MC) are the main ways to
generate meaningless texts. This paper presents the main characteristics
of texts generated by PCFG and MC. For the time being, PCFG generators
are quite easy to spot by an automatic way, using intertextual distance
combined with automatic clustering, because these generators are
behaving like authors with specifics features such as a very low
vocabulary richness and unusual sentence structures. This shows that
quantitative tools are effective to characterize originality (or
banality) of authors' language.
Reprint Address:
Labbe, C (reprint author), Univ Grenoble Alpes, LIG, F-38000 Grenoble, France.
Addresses:
[Labbe, Cyril; Portet, Francois] Univ Grenoble Alpes, LIG, F-38000 Grenoble, France.
[Labbe, Cyril; Portet, Francois] CNRS, LIG, F-38000 Grenoble, France.
[Labbe, Dominique] Univ Grenoble Alpes, PACTE, F-38000 Grenoble, France.
[Labbe, Dominique] CNRS, PACTE, F-38000 Grenoble, France.
E-mail Addresses:
cyril.labbe at imag.fr; dominique.labbe at pacte.fr; francois.portet at imag.fr
Cited Reference Count:
39
Times Cited:
0
Publisher:
SPRINGER, PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS
ISSN:
2195-1934
ISBN:
978-3-319-24403-7; 978-3-319-24401-3
Book DOI:
10.1007/978-3-319-24403-7
Web of Science Categories:
Linguistics; Language & Linguistics
Research Areas:
Linguistics
IDS Number:
BF7FP
Unique ID:
WOS:000384053100009
Cited References:
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*Order Full Text [ ]
Title:
An Empirical Research of The Influencing Mechanisms of Research Performance on Scientific Research Social Network
Authors:
Ji, JY; Hua, SC
Author Full Names:
Ji Jingya; Hua, Sunchun
Edited by:
Jiang Z; Xue Y
Source:
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ECONOMY, MANAGEMENT AND EDUCATION TECHNOLOGY, 62 612-618; 2016
Book Series:
Advances in Social Science Education and Humanities Research
Language:
English
Document Type:
Proceedings Paper
Conference Title:
2nd International Conference on Economy, Management and Education Technology (ICEMET)
Conference Date:
MAY 28-29, 2016
Conference Location:
Chongqing, PEOPLES R CHINA
Author Keywords:
Scientific Research Social Network, The Degree Of User Activity, Knowledge Sharing, Research Performance
Abstract:
The advent of scientific research social network creates a better
environment for scientific communication. It may facilitate researchers
to share their scientific knowledge, and then to improve their research
performance, so we explore the influencing mechanisms between the degree
of user activity on scientific research social network, knowledge
sharing and research performance. Using questionnaire survey and Likert
scale are the traditional methods, while we get 1133 valid user data
from "ScholarMate" website with pursuit of more objectivity and
authenticity. After conducting correlation analysis, regression analysis
and Mediation effect testing, we get the following results: the degree
of user activity on scientific research social network has significant
positive effects on the quantity and quality of published papers;
knowledge contribution and knowledge search also have significant
positive effects on the quantity and quality of published papers; the
effect of the degree of user activity on the quantity and quality of
published papers are mediated by knowledge contribution
Reprint Address:
Ji, JY (reprint author), Hefei Univ Technol, Sch Management, Hefei, Peoples R China.
Addresses:
[Ji Jingya] Hefei Univ Technol, Sch Management, Hefei, Peoples R China.
Cited Reference Count:
15
Times Cited:
0
Publisher:
ATLANTIS PRESS, 29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
ISSN:
2352-5398
ISBN:
978-94-6252-193-3
Web of Science Categories:
Social Sciences, Interdisciplinary
Research Areas:
Social Sciences - Other Topics
IDS Number:
BF7ZB
Unique ID:
WOS:000384639400126
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Lei Jing, 2012, A study on knowledge sharing of virtual community on social network,
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*Order Full Text [ ]
Title:
Analyzing the Publish-or-Perish Paradigm with Game Theory: The Prisoner's Dilemma and a Possible Escape
Authors:
Erren, TC; Shaw, DM; Morfeld, P
Author Full Names:
Erren, T. C.; Shaw, D. M.; Morfeld, P.
Source:
SCIENCE AND ENGINEERING ETHICS, 22 (5):1431-1446; 10.1007/s11948-015-9701-x OCT 2016
Language:
English
Document Type:
Article
Author Keywords:
Publish-or perish, Game theory, Prisoner's dilemma, Pli cachete, Priority, Quality
KeyWords Plus:
REWARD
Abstract:
The publish-or-perish paradigm is a prevailing facet of science. We
apply game theory to show that, under rather weak assumptions, this
publication scenario takes the form of a prisoner's dilemma, which
constitutes a substantial obstacle to beneficial delayed publication of
more complete results. One way of avoiding this obstacle while allowing
researchers to establish priority of discoveries would be an updated
"pli cachet,", a sealed envelope concept from the 1700s. We describe
institutional rules that could additionally favour high-quality work and
publications and provide examples of such policies that are already in
place. Our analysis should be extended to other publication scenarios
and the role of other stakeholders such as scientific journals or
sponsors.
Reprint Address:
Erren, TC (reprint author), Univ Cologne, Inst & Policlin Occupat Med Environm Med & Preven, Kerpener Str 61, D-50938 Cologne, Germany.
Addresses:
[Erren, T. C.; Morfeld, P.] Univ Cologne, Inst & Policlin Occupat Med Environm Med & Preven, Kerpener Str 61, D-50938 Cologne, Germany.
[Shaw, D. M.] Univ Basel, Inst Biomed Eth, Basel, Switzerland.
[Morfeld, P.] Evon Ind AG, Inst Occupat Epidemiol & Risk Assessment IERA, Essen, Germany.
E-mail Addresses:
tim.erren at uni-koeln.de
Cited Reference Count:
33
Times Cited:
1
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
1353-3452
eISSN:
1471-5546
Web of Science Categories:
Ethics; Engineering, Multidisciplinary; History & Philosophy Of Science; Multidisciplinary Sciences; Philosophy
Research Areas:
Social Sciences - Other Topics; Engineering; History & Philosophy of Science; Science & Technology - Other Topics; Philosophy
IDS Number:
DY6HN
Unique ID:
WOS:000385207100012
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