Papers of interest to readers of the SIG-Metrics List
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Tue Apr 21 13:47:58 EDT 2015
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Title:
A Study of Research Collaboration in the Pre-Web and Post-Web Stages: A Coauthorship Analysis of the Information Systems Discipline
Authors:
Huang, MH; Wu, LL; Wu, YC
Author Full Names:
Huang, Mu-Hsuan; Wu, Ling-Ling; Wu, Yi-Chen
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 66 (4):778-797; 10.1002/asi.23196 APR 2015
Language:
English
Document Type:
Article
Author Keywords:
collaboration, authorship, bibliometrics
KeyWords Plus:
INTERNATIONAL CO-AUTHORSHIP; SCIENTIFIC COLLABORATION; SCHOLARLY COMMUNICATION; CITATION ANALYSIS; BIBLIOMETRIC INDICATORS; RESEARCH PRODUCTIVITY; JOURNAL LITERATURE; IMPACT; SCIENCE; QUALITY
Abstract:
To explore the possible facilitative role of the Internet in the process
of research collaboration, this study endeavored to systematically
compare the phenomenon of co-authorship and the impacts of co-authorship
between pre-web and post-web stages in the field of information systems.
Three hypotheses were proposed in this study. First, research
collaboration increases in the post-web stage relative to the pre-web
stage. Second, research collaboration is positively related to research
impact, operationally defined as the number of citations. Lastly, the
positive relationship between research collaboration and research impact
is stronger in the post-web stage than that in the pre-web stage.
Articles published in the field of information systems in both time
periods were collected to test the hypotheses. The empirical results
strongly support H1 and H2, showing that co-authorship increases in the
post-web stage, and positively correlates with citations received by
information systems articles. The positive effects of interdisciplinary
collaborations and collaborations among multiple authors are enhanced in
the post-web stage, but such enhancement is not found for international
collaboration. H3 is partially supported.
Addresses:
[Huang, Mu-Hsuan] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 106, Taiwan.
[Wu, Ling-Ling; Wu, Yi-Chen] Natl Taiwan Univ, Dept Informat Management, Taipei 116, Taiwan.
E-mail Addresses:
mhhuang at ntu.edu.tw; llwu at management.ntu.edu.tw; r98725005 at ntu.edu.tw
Cited Reference Count:
95
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:
CD9CW
Unique ID:
WOS:000351395800009
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Title:
Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis
Authors:
Liu, ZG; Yin, YM; Liu, WD; Dunford, M
Author Full Names:
Liu, Zhigao; Yin, Yimei; Liu, Weidong; Dunford, Michael
Source:
SCIENTOMETRICS, 103 (1):135-158; 10.1007/s11192-014-1517-y APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Innovation systems, Scientific visualization, Cityscape, Intellectual development, Bibliometrics
KeyWords Plus:
AUTHOR COCITATION ANALYSIS; INTERNATIONAL SCIENTIFIC COLLABORATION; RENEWABLE ENERGY TECHNOLOGY; CO-WORD ANALYSIS; CITATION ANALYSIS; NATIONAL SYSTEMS; EMERGING TRENDS; KNOWLEDGE BASES; LEARNING REGION; SCIENCE
Abstract:
Despite increasing awareness of the need to trace the trajectory of
innovation system research, so far little attention has been given to
quantitative depiction of the evolution of this fast-moving research
field. This paper uses CiteSpace to demonstrate visually intellectual
structures and developments. The study uses citation analysis to detect
and visualize disciplinary distributions, keyword co-word networks and
journal cocitation networks, highly cited references, as well as highly
cited authors to identify intellectual turning points, pivotal points
and emerging trends, in innovation systems system research from 1975 to
2012.
Addresses:
[Liu, Zhigao; Liu, Weidong; Dunford, Michael] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
[Yin, Yimei] Beijing Union Univ, Inst Tourism, Beijing 100101, Peoples R China.
[Dunford, Michael] Univ Sussex, Sch Global Studies, Brighton BN1 9QN, E Sussex, England.
E-mail Addresses:
yinyimei at buu.edu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [41201116, 41471113, 41125005]; Beijing Municipal Natural Science Foundation [9142007]; Tourism Young Expert Training Program of China National Tourism Administration [TYETP201304]; Chinese Academy of Sciences Visiting Professorship for Senior International Scientists [2009S1-44]
Funding Text:
The authors gratefully acknowledge financial support from several sources: the National Natural Science Foundation of China (41201116, 41471113 and 41125005), Beijing Municipal Natural Science Foundation (9142007), Tourism Young Expert Training Program of China National Tourism Administration (TYETP201304), and a Chinese Academy of Sciences Visiting Professorship for Senior International Scientists Grant 2009S1-44.
Cited Reference Count:
124
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:
CE1BJ
Unique ID:
WOS:000351546100007
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Title:
Worldwide contributors to the literature of library and information science: top authors, 2007-2012
Authors:
Walters, WH; Wilder, EI
Author Full Names:
Walters, William H.; Wilder, Esther Isabelle
Source:
SCIENTOMETRICS, 103 (1):301-327; 10.1007/s11192-014-1519-9 APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Authorship, Concentration, Contributors, Disciplines, Information, Library
KeyWords Plus:
ASSESSING PUBLICATION IMPACT; US LIS FACULTY; RESEARCH PRODUCTIVITY; SCHOLARLY PRODUCTIVITY; CITATION PATTERNS; H-INDEX; JOURNALS; PRACTITIONERS; SCIENTISTS; WEB
Abstract:
This study identifies the top individual contributors to 31 LIS journals
from 2007 to 2012, both worldwide (all disciplines) and among four
groups: LIS faculty in the US and Canada, LIS faculty in the UK, LIS
faculty in other countries, and librarians worldwide. The distribution
of authorship is highly skewed. Although more than 9,800 authors (86.4
%) each contributed no more than a single article over the six-year
period, the top 50 authors (0.4 %) each contributed eight or more
articles, with an average of 13.0. Together, the top 50 authors account
for nearly 8 % of the LIS literature. Moreover, the most productive LIS
faculty are concentrated in relatively few universities. Faculty in the
natural sciences and LIS are more likely to be found among the top 50
authors than their overall contributions would suggest, while
librarians, computer scientists and non-academic authors are
underrepresented. Top authors are especially likely to publish in the
Journal of Informetrics and Scientometrics. Among American LIS faculty,
the list of the most prolific authors has changed substantially over
time. Only three of the top 21 authors of the 1999-2004 period can be
found on the current top-20 list.
Addresses:
[Walters, William H.] Manhattan Coll, Mary Alice & Tom OMalley Lib, Riverdale, NY 10471 USA.
[Wilder, Esther Isabelle] CUNY, Dept Sociol, Lehman Coll, Bronx, NY 10468 USA.
E-mail Addresses:
william.walters at manhattan.edu; ewilder at gc.cuny.edu
Cited Reference Count:
60
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:
CE1BJ
Unique ID:
WOS:000351546100015
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Title:
Breadth and depth of citation distribution
Authors:
Yang, SL; Han, RZ
Author Full Names:
Yang, Siluo; Han, Ruizhen
Source:
INFORMATION PROCESSING & MANAGEMENT, 51 (2):130-140; SI 10.1016/j.ipm.2014.12.003 MAR 2015
Language:
English
Document Type:
Article
Author Keywords:
Citation analysis, Bibliometrics, Citation distribution, X index, Y index, XY index
KeyWords Plus:
SCIENTIFIC LITERATURE; SCIENCE; COCITATION; BEHAVIOR; COUNTS; WEB
Abstract:
This study proposes a new 4D (i.e., spatial, temporal, breadth, and
depth) framework for citation distribution analysis. The importance and
differences in the breadth and depth of citation distribution are
analyzed. Easily computable indices, X, Y, and XY, are proposed, which
provide estimates of the breadth and depth of citation distribution. A
knowledge unit can be an article, author, institution, journal, or a set
of something. Index X, which represents the breadth of citation
distribution, is the number of different knowledge units that cite
special knowledge units. Index Y, which represents the depth of citation
distribution, is the maximum number of citations among several knowledge
units that refer to specific knowledge units. Index XY, which
synthetically represents Indices X and Y, the feature and focus impacts
of a knowledge unit, is index X divided by index Y. We analyze
empirically the citation and reference distributions of 84 journals from
the "Information science and library science" category of the Journal
Citation Reports (2012) at the journal-to-journal level. Indices X, Y,
and XY reflect the actual breadth and depth of citation distribution.
Differences exist among Indices X, Y, and XY. Differences also exist
between these indices and other bibliometric indicators. These indices
cannot be replaced by existing bibliometric indicators. Specifically,
the absolute values of indices X and Y are good supplements to existing
bibliometric indicators. However, index XY and the relative values of
Indices X and Y represent new aspects of bibliometric indicators. (C)
2014 Elsevier Ltd. All rights reserved.
Addresses:
[Yang, Siluo; Han, Ruizhen] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
E-mail Addresses:
slyang2005 at aliyun.com
Funding Acknowledgement:
Humanities and Social Science Foundation of the Ministry of Education of China [13YJCZH047]; Foundation for the Author of National Excellent Doctoral Dissertation of PR China [2014094]
Funding Text:
This research is funded by the Humanities and Social Science Foundation of the Ministry of Education of China (13YJCZH047) and A Foundation for the Author of National Excellent Doctoral Dissertation of PR China (2014094). We wish to thank two anonymous referees for important insightful comments and suggestions.
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
ISSN:
0306-4573
eISSN:
1873-5371
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
CD8BL
Unique ID:
WOS:000351320100009
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Title:
Do first rate scientists work at first rate organizations?
Authors:
Yang, B; Rousseau, R; Huang, SQ; Yan, SL
Author Full Names:
Yang, Bo; Rousseau, Ronald; Huang, Shuiqing; Yan, Sulan
Source:
MALAYSIAN JOURNAL OF LIBRARY & INFORMATION SCIENCE, 20 (1):47-60; 2015
Language:
English
Document Type:
Article
Author Keywords:
First rate scientists, First rate organizations, World class universities, Skewness of science, Total citations, Tipping number (TIP)
KeyWords Plus:
HIGHER-EDUCATION; RESEARCH PERFORMANCE; UNIVERSITY RANKINGS; NAME DISAMBIGUATION; CITATION ANALYSIS; RESEARCH OUTPUT; IMPACT; SCIENCE; PUBLICATIONS; RESEARCHERS
Abstract:
In this article we study the relation between first rate scientists and
first rate organizations. These notions are operationalized by counting
citations (whole counts in the Web of Science) for articles published
during the period 2008 to 2011. Care has been taken to obtain clean data
by careful institutional name disambiguation. It is found that,
especially for large fields, more than 80% of top scientists work at top
organizations. This is less the case for smaller fields such as
mathematics and computer science. Our research confirms the skewness
(elitism) of science, also for the relation between first rate
scientists and the organizations to which they belong. We find,
moreover, that top institutions have relatively more excellent
scientists and relatively fewer researchers with poor performance than
the average level of all institutions in a field.
Addresses:
[Yang, Bo; Huang, Shuiqing; Yan, Sulan] Nanjing Agr Univ, Coll Informat Sci & Technol, Nanjing 210095, Jiangsu, Peoples R China.
[Rousseau, Ronald] Univ Antwerp, Inst Educ & Informat Sci, IBW, B-2000 Antwerp, Belgium.
[Rousseau, Ronald] Katholieke Univ Leuven, Dept Math, B-3000 Leuven, Belgium.
E-mail Addresses:
sqhuang at njau.edu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [71173185, 71173154]; National Social Science Foundation of China [13CTQ031]
Funding Text:
We would like to thank Qiuru Peng, Hui Lin, Xueqin Jiang, and Zengli She from the College of Information Science and Technology (Nanjing Agricultural University) for their work on data collection and verification. Work of Ronald Rousseau is supported by National Natural Science Foundation of China, grants 71173185 and 71173154, and work of Bo Yang is supported by National Social Science Foundation of China under grant 13CTQ031.
Cited Reference Count:
32
Times Cited:
0
Publisher:
UNIV MALAYA, FAC COMPUTER SCIENCE & INFORMATION TECH, UNIV MALAYA, FAC COMPUTER SCIENCE & INFORMATION TECH, KUALA LUMPUR, 50603, MALAYSIA
ISSN:
1394-6234
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
CE2CX
Unique ID:
WOS:000351622000004
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Title:
REFORE: A recommender system for researchers based on bibliometrics
Authors:
Tejeda-Lorente, A; Porcel, C; Bernabe-Moreno, J; Herrera-Viedma, E
Author Full Names:
Tejeda-Lorente, A.; Porcel, C.; Bernabe-Moreno, J.; Herrera-Viedma, E.
Source:
APPLIED SOFT COMPUTING, 30 778-791; 10.1016/j.asoc.2015.02.024 MAY 2015
Language:
English
Document Type:
Article
Author Keywords:
Recommender systems, Item quality, Fuzzy linguistic modeling, Digital library
KeyWords Plus:
QUALITY; INFORMATION; WORDS; MODEL; WEB; REPRESENTATION; RETRANSLATION; TECHNOLOGY; LIBRARIES; JOURNALS
Abstract:
Recommender systems (RSs) exploit past behaviors and user similarities
to provide personalized recommendations. There are some precedents of
usage in academic environments to assist users finding relevant
information, based on assumptions about the characteristics of the items
and users. Even if quality has already been taken into account as a
property of items in previous works, it has never been given a key role
in the re-ranking process for both items and users.
In this paper, we present REFORE, a quality-based fuzzy linguistic
REcommender system FOr REsearchers. We propose the use of some
bibliometric measures as the way to quantify the quality of both items
and users without the interaction of experts as well as the use of
2-tuple linguistic approach to describe the linguistic information. The
system takes into account the measured quality as the main factor for
the re-ranking of the top-N recommendations list in order to point out
researchers to the latest and the best papers in their research fileds.
To prove the accuracy improvement, we conduct a study involving
different recommendation approaches, aiming at measuring their
performance gain. The results obtained proved to be satisfactory for the
researchers from different departments who took part on the tests. (C)
2015 Elsevier B.V. All rights reserved.
Addresses:
[Tejeda-Lorente, A.; Bernabe-Moreno, J.; Herrera-Viedma, E.] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain.
[Porcel, C.] Univ Jaen, Dept Comp Sci, Jaen, Spain.
E-mail Addresses:
atejeda at decsai.ugr.es; cporcel at ujaen.es; juan.bernabe-moreno at webentity.de; viedma at decsai.ugr.es
Funding Acknowledgement:
FEDER [TIN2010-17876, TIN2013-40658-P]; Andalusian Excellence Projects [TIC-05299, TIC-5991]
Funding Text:
This paper has been developed with the financing of FEDER funds in FUZZYLING-II Project, TIN2010-17876, TIN2013-40658-P and Andalusian Excellence Projects TIC-05299 and TIC-5991.
Cited Reference Count:
58
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1568-4946
eISSN:
1872-9681
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
CD7TQ
Unique ID:
WOS:000351296200067
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Title:
Ranking and identifying influential scientists versus mass producers by the Perfectionism Index
Authors:
Sidiropoulos, A; Katsaros, D; Manolopoulos, Y
Author Full Names:
Sidiropoulos, Antonis; Katsaros, Dimitrios; Manolopoulos, Yannis
Source:
SCIENTOMETRICS, 103 (1):1-31; 10.1007/s11192-014-1515-0 APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Ranking, h-Index, Citation analysis, Bibliometrics
KeyWords Plus:
H-INDEX; TAIL; CITATIONS; OUTPUT; CORE; IMPACT
Abstract:
The concept of h-index has been proposed to easily assess a researcher's
performance with a single number. However, by using only this number, we
lose significant information about the distribution of citations per
article in an author's publication list. In this article, we study an
author's citation curve and we define two new areas related to this
curve. We call these "penalty areas", since the greater they are, the
more an author's performance is penalized. We exploit these areas to
establish new indices, namely Perfectionism Index and eXtreme
Perfectionism Index (XPI), aiming at categorizing researchers in two
distinct categories: "influentials" and "mass producers"; the former
category produces articles which are (almost all) with high impact, and
the latter category produces a lot of articles with moderate or no
impact at all. Using data from Microsoft Academic Service, we evaluate
the merits mainly of PI as a useful tool for scientometric studies. We
establish its effectiveness into separating the scientists into
influentials and mass producers; we demonstrate its robustness against
self-citations, and its uncorrelation to traditional indices. Finally,
we apply PI to rank prominent scientists in the areas of databases,
networks and multimedia, exhibiting the strength of the index in
fulfilling its design goal.
Addresses:
[Sidiropoulos, Antonis] Alexander Technol Educ Inst Thessaloniki, Dept Informat Technol, Thessaloniki, Greece.
[Katsaros, Dimitrios] Univ Thessaly, Dept Elect & Comp Engn, Thessaly, Greece.
[Manolopoulos, Yannis] Aristotle Univ Thessaloniki, Dept Informat, GR-54006 Thessaloniki, Greece.
E-mail Addresses:
asidirop at it.teithe.gr; dkatsar at uth.gr; manolopo at csd.auth.gr
Funding Acknowledgement:
Research Committee of the University of Thessaly through the project "Web observatory for research activities in the University of Thessaly''
Funding Text:
The authors wish to thank Professor Sofia Kouidou, Vice-rector of the Aristotle University of Thessaloniki, for stating the basic question that led to the present research. The authors would also wish to thank Professor Vana Doufexi for reviewing and editing the final release of this article. The offer of Microsoft to provide gratis their database API is appreciated. Finally, D. Katsaros acknowledges the support of the Research Committee of the University of Thessaly through the project "Web observatory for research activities in the University of Thessaly''.
Cited Reference Count:
33
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:
CE1BJ
Unique ID:
WOS:000351546100001
Cited References:
Hirsch J. E., 2007, Proceedings of the National Academy of Sciences, V104, P9
Egghe Leo, 2006, SCIENTOMETRICS, V69, P131
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Title:
Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis
Authors:
Liu, ZG; Yin, YM; Liu, WD; Dunford, M
Author Full Names:
Liu, Zhigao; Yin, Yimei; Liu, Weidong; Dunford, Michael
Source:
SCIENTOMETRICS, 103 (1):135-158; 10.1007/s11192-014-1517-y APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Innovation systems, Scientific visualization, Cityscape, Intellectual development, Bibliometrics
KeyWords Plus:
AUTHOR COCITATION ANALYSIS; INTERNATIONAL SCIENTIFIC COLLABORATION; RENEWABLE ENERGY TECHNOLOGY; CO-WORD ANALYSIS; CITATION ANALYSIS; NATIONAL SYSTEMS; EMERGING TRENDS; KNOWLEDGE BASES; LEARNING REGION; SCIENCE
Abstract:
Despite increasing awareness of the need to trace the trajectory of
innovation system research, so far little attention has been given to
quantitative depiction of the evolution of this fast-moving research
field. This paper uses CiteSpace to demonstrate visually intellectual
structures and developments. The study uses citation analysis to detect
and visualize disciplinary distributions, keyword co-word networks and
journal cocitation networks, highly cited references, as well as highly
cited authors to identify intellectual turning points, pivotal points
and emerging trends, in innovation systems system research from 1975 to
2012.
Addresses:
[Liu, Zhigao; Liu, Weidong; Dunford, Michael] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
[Yin, Yimei] Beijing Union Univ, Inst Tourism, Beijing 100101, Peoples R China.
[Dunford, Michael] Univ Sussex, Sch Global Studies, Brighton BN1 9QN, E Sussex, England.
E-mail Addresses:
yinyimei at buu.edu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [41201116, 41471113, 41125005]; Beijing Municipal Natural Science Foundation [9142007]; Tourism Young Expert Training Program of China National Tourism Administration [TYETP201304]; Chinese Academy of Sciences Visiting Professorship for Senior International Scientists [2009S1-44]
Funding Text:
The authors gratefully acknowledge financial support from several sources: the National Natural Science Foundation of China (41201116, 41471113 and 41125005), Beijing Municipal Natural Science Foundation (9142007), Tourism Young Expert Training Program of China National Tourism Administration (TYETP201304), and a Chinese Academy of Sciences Visiting Professorship for Senior International Scientists Grant 2009S1-44.
Cited Reference Count:
124
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:
CE1BJ
Unique ID:
WOS:000351546100007
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Title:
The research activity of the current faculty of the Greek chemical engineering departments: a bibliometric study in national and international context
Authors:
Kazakis, NA
Author Full Names:
Kazakis, Nikolaos A.
Source:
SCIENTOMETRICS, 103 (1):229-250; 10.1007/s11192-014-1523-0 APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Research evaluation, Bibliometrics, h-index, Chemical engineering, Greece, Academic rank, Gender
KeyWords Plus:
RESEARCH PRODUCTIVITY; RESEARCH PERFORMANCE; RESEARCH OUTPUT; PUBLICATIONS; INDEX
Abstract:
The object of the present study is the evaluation of the research
quality of the three Greek chemical engineering departments (Athens,
Thessaloniki, Patras) by means of several advanced bibliometric indices
calculated separately for each academic using a twofold approach, namely
in department and academic rank level. This allows the ranking of the
studied departments, but also sheds light on the distribution of the
research activity among the various ranks. In addition, to assess the
research profile and background of the current faculty of the Greek
chemical engineering departments in International context their research
output is compared with that of Massachusetts chemical engineering
department, Massachusetts Institute of Technology (MIT). Dependency of
the bibliometric indices on seniority is also investigated, conducting
the bibliometric analysis using a common time basis for all academics,
i.e., research performance during the last decade. Available data are
also used to investigate the temporal progress of the research
productivity. Finally, gender distribution among the academics of the
various ranks is also studied to explore the gender balance in research.
In general, bibliometrics demonstrate that Patras department host
academics of better quality, with higher scientific activity over the
last decade, but superiority of MIT department against the Greek
departments is also evident. Results also indicate that no common
standards in hiring/promotion of academics are established between the
departments. The negative impact of the European socio-economic crisis
on the research productivity is also highlighted, while the university
system suffers from unequal gender distribution with pronounced male
dominance.
Addresses:
[Kazakis, Nikolaos A.] Democritus Univ Thrace, Qual Assurance Unit, Komotini 69100, Greece.
[Kazakis, Nikolaos A.] Athena Res & Innovat Ctr Informat Commun & Knowle, Dept Archaeometry & Physicochem Measurements, Xanthi 67100, Greece.
E-mail Addresses:
nikkazak at ceti.gr
Cited Reference Count:
31
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:
CE1BJ
Unique ID:
WOS:000351546100011
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Title:
Factors Affecting Citation Rates of Research Articles
Authors:
Onodera, N; Yoshikane, F
Author Full Names:
Onodera, Natsuo; Yoshikane, Fuyuki
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 66 (4):739-764; 10.1002/asi.23209 APR 2015
Language:
English
Document Type:
Article
KeyWords Plus:
SCIENTIFIC COLLABORATION; BIBLIOMETRIC INDICATORS; INFORMATION-SCIENCE; SELF-CITATIONS; JOURNAL IMPACT; CO-AUTHORSHIP; QUALITY; COUNTS; PUBLICATIONS; REFERENCES
Abstract:
This study examines whether there are some general trends across subject
fields regarding the factors affecting the number of citations of
articles, focusing especially on those factors that are not directly
related to the quality or content of articles (extrinsic factors). For
this purpose, from 6 selected subject fields (condensed matter physics,
inorganic and nuclear chemistry, electric and electronic engineering,
biochemistry and molecular biology, physiology, and gastroenterology),
original articles published in the same year were sampled (n=230-240 for
each field). Then, the citation counts received by the articles in
relatively long citation windows (6 and 11 years after publication) were
predicted by negative binomial multiple regression (NBMR) analysis for
each field. Various article features about author collaboration, cited
references, visibility, authors' achievements (measured by past
publications and citedness), and publishing journals were considered as
the explanatory variables of NBMR. Some generality across the fields was
found with regard to the selected predicting factors and the degree of
significance of these predictors. The Price index was the strongest
predictor of citations, and number of references was the next. The
effects of number of authors and authors' achievement measures were
rather weak.
Addresses:
[Onodera, Natsuo; Yoshikane, Fuyuki] Univ Tsukuba, Fac Lib Informat & Media Sci, Tsukuba, Ibaraki 3058550, Japan.
E-mail Addresses:
nt.onodera at y5.dion.ne.jp; fuyuki at slis.tsukuba.ac.jp
Funding Acknowledgement:
JSPS [18300080]
Funding Text:
This work was supported by JSPS KAKENHI Grant Number 18300080. We appreciate useful discussions with the members of the research group, in addition to their support for data acquisition and processing. We express our gratitude for helpful advice from the reviewers regarding the bias that was possibly brought on by sampling, the possibility of differences in citation tendency among subfields, and the description of Literature Review.
Cited Reference Count:
71
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:
CD9CW
Unique ID:
WOS:000351395800007
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Basu A, 2005, ASLIB PROCEEDINGS, V57, P232
Aksnes DW, 2003, RESEARCH EVALUATION, V12, P159
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Title:
Study of dynamics of structured knowledge: Qualitative analysis of different mapping approaches
Authors:
Osinska, V; Bala, P
Author Full Names:
Osinska, Veslava; Bala, Piotr
Source:
JOURNAL OF INFORMATION SCIENCE, 41 (2):197-208; 10.1177/0165551514559897 APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Information visualization, knowledge domain mapping, qualitative analysis, visualization evaluation
KeyWords Plus:
SCIENCE; VISUALIZATION; DOMAIN; INFORMATION; VOS
Abstract:
The authors compared three methods of mapping, considering the maps as a
visual interface for the exploration of scientific articles related to
computer science. Data were classified according to the original
Computing Classification System (CCS) classification and co-categories
were used for similarity metrics calculation. The authors' approach
based on MDS was enriched by algorithm mapping to spherical topology.
Three other methods were based on VOS, VxOrd and SOM mapping techniques.
Visualization of the classified collection was done for three different
decades. Tracking the changes in visualization patterns, the authors
sought the method that would reveal the real evolution of the CCS
scheme, which is still being updated by the editorial board. Comparative
analysis is based on qualitative methods. Changes in those properties
over two decades were evaluated for the benefit of the authors' method
of mapping. The qualitative analysis shows clustering of proper
categories and overlapping of other ones in the authors' approach, which
corresponds to the current changes in the classification scheme and
computer science literature.
Addresses:
[Osinska, Veslava] Nicholas Copernicus Univ, Inst Informat Sci & Book Studies, PL-87100 Torun, Poland.
[Bala, Piotr] Univ Warsaw, Interdiscyplinary Ctr Math & Computat Modelling, PL-00325 Warsaw, Poland.
E-mail Addresses:
wieo at umk.pl
Cited Reference Count:
35
Times Cited:
0
Publisher:
SAGE PUBLICATIONS LTD, 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
ISSN:
0165-5515
eISSN:
1741-6485
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
CD4RS
Unique ID:
WOS:000351071800005
Cited References:
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Title:
Breadth and depth of citation distribution
Authors:
Yang, SL; Han, RZ
Author Full Names:
Yang, Siluo; Han, Ruizhen
Source:
INFORMATION PROCESSING & MANAGEMENT, 51 (2):130-140; SI 10.1016/j.ipm.2014.12.003 MAR 2015
Language:
English
Document Type:
Article
Author Keywords:
Citation analysis, Bibliometrics, Citation distribution, X index, Y index, XY index
KeyWords Plus:
SCIENTIFIC LITERATURE; SCIENCE; COCITATION; BEHAVIOR; COUNTS; WEB
Abstract:
This study proposes a new 4D (i.e., spatial, temporal, breadth, and
depth) framework for citation distribution analysis. The importance and
differences in the breadth and depth of citation distribution are
analyzed. Easily computable indices, X, Y, and XY, are proposed, which
provide estimates of the breadth and depth of citation distribution. A
knowledge unit can be an article, author, institution, journal, or a set
of something. Index X, which represents the breadth of citation
distribution, is the number of different knowledge units that cite
special knowledge units. Index Y, which represents the depth of citation
distribution, is the maximum number of citations among several knowledge
units that refer to specific knowledge units. Index XY, which
synthetically represents Indices X and Y, the feature and focus impacts
of a knowledge unit, is index X divided by index Y. We analyze
empirically the citation and reference distributions of 84 journals from
the "Information science and library science" category of the Journal
Citation Reports (2012) at the journal-to-journal level. Indices X, Y,
and XY reflect the actual breadth and depth of citation distribution.
Differences exist among Indices X, Y, and XY. Differences also exist
between these indices and other bibliometric indicators. These indices
cannot be replaced by existing bibliometric indicators. Specifically,
the absolute values of indices X and Y are good supplements to existing
bibliometric indicators. However, index XY and the relative values of
Indices X and Y represent new aspects of bibliometric indicators. (C)
2014 Elsevier Ltd. All rights reserved.
Addresses:
[Yang, Siluo; Han, Ruizhen] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
E-mail Addresses:
slyang2005 at aliyun.com
Funding Acknowledgement:
Humanities and Social Science Foundation of the Ministry of Education of China [13YJCZH047]; Foundation for the Author of National Excellent Doctoral Dissertation of PR China [2014094]
Funding Text:
This research is funded by the Humanities and Social Science Foundation of the Ministry of Education of China (13YJCZH047) and A Foundation for the Author of National Excellent Doctoral Dissertation of PR China (2014094). We wish to thank two anonymous referees for important insightful comments and suggestions.
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
ISSN:
0306-4573
eISSN:
1873-5371
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
CD8BL
Unique ID:
WOS:000351320100009
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Title:
Diversifying Citation Recommendations
Authors:
Kucuktunc, O; Saule, E; Kaya, K; Catalyurek, UV
Author Full Names:
Kuecuektunc, Onur; Saule, Erik; Kaya, Kamer; Catalyuerek, Uemit V.
Source:
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 5 (4):10.1145/2668106 JAN 2015
Language:
English
Document Type:
Article
Author Keywords:
Algorithms, Experimentation, Bibliographic search, diversity, direction awareness
KeyWords Plus:
NETWORKS; PAGERANK
Abstract:
Literature search is one of the most important steps of academic
research. With more than 100,000 papers published each year just in
computer science, performing a complete literature search becomes a
Herculean task. Some of the existing approaches and tools for literature
search cannot compete with the characteristics of today's literature,
and they suffer from ambiguity and homonymy. Techniques based on
citation information are more robust to the mentioned issues. Thus, we
recently built a Web service called the advisor, which provides
personalized recommendations to researchers based on their papers of
interest. Since most recommendation methods may return redundant
results, diversifying the results of the search process is necessary to
increase the amount of information that one can reach via an automated
search. This article targets the problem of result diversification in
citation-based bibliographic search, assuming that the citation graph
itself is the only information available and no categories or intents
are known. The contribution of this work is threefold. We survey various
random walk-based diversification methods and enhance them with the
direction awareness property to allow users to reach either old,
foundational (possibly well-cited and well-known) research papers or
recent (most likely less-known) ones. Next, we propose a set of novel
algorithms based on vertex selection and query refinement. A set of
experiments with various evaluation criteria shows that the
proposed.-RLM algorithm performs better than the existing approaches and
is suitable for real-time bibliographic search in practice.
Addresses:
[Kuecuektunc, Onur] Ohio State Univ, Dept Comp Sci & Engn, Columbus, OH 43210 USA.
[Saule, Erik] Univ N Carolina, Dept Comp Sci, Charlotte, NC 28223 USA.
[Kaya, Kamer; Catalyuerek, Uemit V.] Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA.
E-mail Addresses:
kucuktunc.1 at osu.edu; esaule at uncc.edu; kamer at bmi.osu.edu; umit at bmi.osu.edu
Funding Acknowledgement:
NIH/NCI [R01CA141090]; NSF [CNS-0643969]
Funding Text:
This work was partially supported by NIH/NCI grant R01CA141090 and NSF grant CNS-0643969.
Cited Reference Count:
35
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:
55
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Information Systems
Research Areas:
Computer Science
IDS Number:
CD9VI
Unique ID:
WOS:000351446900004
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Title:
Indexing It All: The Subject in the Age of Documentation, Information, and Data
Authors:
Day, RE
Author Full Names:
Day, RE
Source:
INDEXING IT ALL: THE SUBJECT IN THE AGE OF DOCUMENTATION, INFORMATION, AND DATA, 1-170; 2014
Book Series:
History and Foundations of Information Science
Language:
English
Document Type:
Book
KeyWords Plus:
IMAGES
Cited Reference Count:
96
Times Cited:
0
Publisher:
MIT PRESS, FIVE CAMBRIDGE CENTER, CAMBRIDGE, MA 02142 USA
ISBN:
978-0-262-02821-9
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
BC1LJ
Unique ID:
WOS:000350240700009
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Title:
REFORE: A recommender system for researchers based on bibliometrics
Authors:
Tejeda-Lorente, A; Porcel, C; Bernabe-Moreno, J; Herrera-Viedma, E
Author Full Names:
Tejeda-Lorente, A.; Porcel, C.; Bernabe-Moreno, J.; Herrera-Viedma, E.
Source:
APPLIED SOFT COMPUTING, 30 778-791; 10.1016/j.asoc.2015.02.024 MAY 2015
Language:
English
Document Type:
Article
Author Keywords:
Recommender systems, Item quality, Fuzzy linguistic modeling, Digital library
KeyWords Plus:
QUALITY; INFORMATION; WORDS; MODEL; WEB; REPRESENTATION; RETRANSLATION; TECHNOLOGY; LIBRARIES; JOURNALS
Abstract:
Recommender systems (RSs) exploit past behaviors and user similarities
to provide personalized recommendations. There are some precedents of
usage in academic environments to assist users finding relevant
information, based on assumptions about the characteristics of the items
and users. Even if quality has already been taken into account as a
property of items in previous works, it has never been given a key role
in the re-ranking process for both items and users.
In this paper, we present REFORE, a quality-based fuzzy linguistic
REcommender system FOr REsearchers. We propose the use of some
bibliometric measures as the way to quantify the quality of both items
and users without the interaction of experts as well as the use of
2-tuple linguistic approach to describe the linguistic information. The
system takes into account the measured quality as the main factor for
the re-ranking of the top-N recommendations list in order to point out
researchers to the latest and the best papers in their research fileds.
To prove the accuracy improvement, we conduct a study involving
different recommendation approaches, aiming at measuring their
performance gain. The results obtained proved to be satisfactory for the
researchers from different departments who took part on the tests. (C)
2015 Elsevier B.V. All rights reserved.
Addresses:
[Tejeda-Lorente, A.; Bernabe-Moreno, J.; Herrera-Viedma, E.] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain.
[Porcel, C.] Univ Jaen, Dept Comp Sci, Jaen, Spain.
E-mail Addresses:
atejeda at decsai.ugr.es; cporcel at ujaen.es; juan.bernabe-moreno at webentity.de; viedma at decsai.ugr.es
Funding Acknowledgement:
FEDER [TIN2010-17876, TIN2013-40658-P]; Andalusian Excellence Projects [TIC-05299, TIC-5991]
Funding Text:
This paper has been developed with the financing of FEDER funds in FUZZYLING-II Project, TIN2010-17876, TIN2013-40658-P and Andalusian Excellence Projects TIC-05299 and TIC-5991.
Cited Reference Count:
58
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1568-4946
eISSN:
1872-9681
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications
Research Areas:
Computer Science
IDS Number:
CD7TQ
Unique ID:
WOS:000351296200067
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*Record
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Title:
Bibliometric analysis of two subdomains in philosophy: free will and sorites
Authors:
Ahlgren, P; Pagin, P; Persson, O; Svedberg, M
Author Full Names:
Ahlgren, Per; Pagin, Peter; Persson, Olle; Svedberg, Maria
Source:
SCIENTOMETRICS, 103 (1):47-73; 10.1007/s11192-015-1535-4 APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, Cocitation analysis, Free will, Mapping, Philosophy, Sorites
KeyWords Plus:
HUMANITIES-CITATION-INDEX; SOCIAL-SCIENCES; PATTERNS; MONOGRAPHS; ECONOMICS; GEOGRAPHY; JOURNALS; SERIALS; ARTS
Abstract:
In this study we tested the fruitfulness of advanced bibliometric
methods for mapping subdomains in philosophy. The development of the
number of publications on free will and sorites, the two subdomains
treated in the study, over time was studied. We applied the cocitation
approach to map the most cited publications, authors and journals, and
we mapped frequently occurring terms, using a term co-occurrence
approach. Both subdomains show a strong increase of publications in Web
of Science. When we decomposed the publications by faculty, we could see
an increase of free will publications also in social sciences, medicine
and natural sciences. The multidisciplinary character of free will
research was reflected in the cocitation analysis and in the term
co-occurrence analysis: we found clusters/groups of cocited
publications, authors and journals, and of co-occurring terms,
representing philosophy as well as non-philosophical fields, such as
neuroscience and physics. The corresponding analyses of sorites
publications displayed a structure consisting of research themes rather
than fields. All in all, both philosophers involved in this study
acknowledge the validity of the various networks presented. Bibliometric
mapping appears to provide an interesting tool for describing the
cognitive orientation of a research field, not only in the natural and
life sciences but also in philosophy, which this study shows.
Addresses:
[Ahlgren, Per] KTH Royal Inst Technol, Sch Educ & Commun Engn Sci ECE, S-10044 Stockholm, Sweden.
[Pagin, Peter; Svedberg, Maria] Stockholm Univ, Dept Philosophy, S-10691 Stockholm, Sweden.
[Persson, Olle] Umea Univ, Inforsk, Dept Sociol, S-90187 Umea, Sweden.
E-mail Addresses:
perahl at kth.se; peter.pagin at philosophy.su.se; olle.persson at soc.umu.se; maria.svedberg at philosophy.su.se
Cited Reference Count:
33
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:
CE1BJ
Unique ID:
WOS:000351546100003
Cited References:
Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P846
Hammarfelt Bjorn, 2011, SCIENTOMETRICS, V86, P705
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PERSSON O, 1994, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V45, P31
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*Order Full Text [ ]
Title:
Inaccuracies in titles on bibliometrics in biomedical *journals*
Authors:
Aleixandre-Benavent, R; Resurreccio, VM; Valderrama-Zurian, JC
Author Full Names:
Aleixandre-Benavent, Rafael; Montalt Resurreccio, Vicent; Carlos
Valderrama-Zurian, Juan
Source:
SCIENTOMETRICS, 103 (1):331-332; 10.1007/s11192-014-1504-3 APR 2015
Language:
English
Document Type:
Editorial Material
Addresses:
[Aleixandre-Benavent, Rafael] Univ Politecn Valencia, CSIC, Inst Gest Innovac & Conocimiento, E-46022 Valencia, Spain.
[Aleixandre-Benavent, Rafael] Univ Valencia, UISYS, E-46003 Valencia, Spain.
[Montalt Resurreccio, Vicent] Univ Jaume 1, Dept Traduccio & Comunicacio, Castellon de La Plana, Spain.
[Carlos Valderrama-Zurian, Juan] Univ Catolica San Vicente, Inst Documentac & Tecnol Informac, Valencia, Spain.
E-mail Addresses:
Rafael.Aleixandre at uv.es
Cited Reference Count:
7
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:
CE1BJ
Unique ID:
WOS:000351546100017
Cited References:
ICMJE. International Committee of Medical Journal Editors, 2014, Recommendations for the conduct, reporting, editing and publication of scholarly work in medical journals,
Hartley James, 2015, SCIENTOMETRICS, V103, P329
Hays Judith C., 2010, PUBLIC HEALTH NURSING, V27, P101
Hartley J., 2005, Journal of Technical Writing and Communication, V35, P203
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American Medical Association (AMA), 2007, AMA manual of style: A guide for authors and editors,
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Title:
Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis
Authors:
Liu, ZG; Yin, YM; Liu, WD; Dunford, M
Author Full Names:
Liu, Zhigao; Yin, Yimei; Liu, Weidong; Dunford, Michael
Source:
SCIENTOMETRICS, 103 (1):135-158; 10.1007/s11192-014-1517-y APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Innovation systems, Scientific visualization, Cityscape, Intellectual development, Bibliometrics
KeyWords Plus:
AUTHOR COCITATION ANALYSIS; INTERNATIONAL SCIENTIFIC COLLABORATION; RENEWABLE ENERGY TECHNOLOGY; CO-WORD ANALYSIS; CITATION ANALYSIS; NATIONAL SYSTEMS; EMERGING TRENDS; KNOWLEDGE BASES; LEARNING REGION; SCIENCE
Abstract:
Despite increasing awareness of the need to trace the trajectory of
innovation system research, so far little attention has been given to
quantitative depiction of the evolution of this fast-moving research
field. This paper uses CiteSpace to demonstrate visually intellectual
structures and developments. The study uses citation analysis to detect
and visualize disciplinary distributions, keyword co-word networks and
journal cocitation networks, highly cited references, as well as highly
cited authors to identify intellectual turning points, pivotal points
and emerging trends, in innovation systems system research from 1975 to
2012.
Addresses:
[Liu, Zhigao; Liu, Weidong; Dunford, Michael] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
[Yin, Yimei] Beijing Union Univ, Inst Tourism, Beijing 100101, Peoples R China.
[Dunford, Michael] Univ Sussex, Sch Global Studies, Brighton BN1 9QN, E Sussex, England.
E-mail Addresses:
yinyimei at buu.edu.cn
Funding Acknowledgement:
National Natural Science Foundation of China [41201116, 41471113, 41125005]; Beijing Municipal Natural Science Foundation [9142007]; Tourism Young Expert Training Program of China National Tourism Administration [TYETP201304]; Chinese Academy of Sciences Visiting Professorship for Senior International Scientists [2009S1-44]
Funding Text:
The authors gratefully acknowledge financial support from several sources: the National Natural Science Foundation of China (41201116, 41471113 and 41125005), Beijing Municipal Natural Science Foundation (9142007), Tourism Young Expert Training Program of China National Tourism Administration (TYETP201304), and a Chinese Academy of Sciences Visiting Professorship for Senior International Scientists Grant 2009S1-44.
Cited Reference Count:
124
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:
CE1BJ
Unique ID:
WOS:000351546100007
Cited References:
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Title:
The research activity of the current faculty of the Greek chemical engineering departments: a bibliometric study in national and international context
Authors:
Kazakis, NA
Author Full Names:
Kazakis, Nikolaos A.
Source:
SCIENTOMETRICS, 103 (1):229-250; 10.1007/s11192-014-1523-0 APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Research evaluation, Bibliometrics, h-index, Chemical engineering, Greece, Academic rank, Gender
KeyWords Plus:
RESEARCH PRODUCTIVITY; RESEARCH PERFORMANCE; RESEARCH OUTPUT; PUBLICATIONS; INDEX
Abstract:
The object of the present study is the evaluation of the research
quality of the three Greek chemical engineering departments (Athens,
Thessaloniki, Patras) by means of several advanced bibliometric indices
calculated separately for each academic using a twofold approach, namely
in department and academic rank level. This allows the ranking of the
studied departments, but also sheds light on the distribution of the
research activity among the various ranks. In addition, to assess the
research profile and background of the current faculty of the Greek
chemical engineering departments in International context their research
output is compared with that of Massachusetts chemical engineering
department, Massachusetts Institute of Technology (MIT). Dependency of
the bibliometric indices on seniority is also investigated, conducting
the bibliometric analysis using a common time basis for all academics,
i.e., research performance during the last decade. Available data are
also used to investigate the temporal progress of the research
productivity. Finally, gender distribution among the academics of the
various ranks is also studied to explore the gender balance in research.
In general, bibliometrics demonstrate that Patras department host
academics of better quality, with higher scientific activity over the
last decade, but superiority of MIT department against the Greek
departments is also evident. Results also indicate that no common
standards in hiring/promotion of academics are established between the
departments. The negative impact of the European socio-economic crisis
on the research productivity is also highlighted, while the university
system suffers from unequal gender distribution with pronounced male
dominance.
Addresses:
[Kazakis, Nikolaos A.] Democritus Univ Thrace, Qual Assurance Unit, Komotini 69100, Greece.
[Kazakis, Nikolaos A.] Athena Res & Innovat Ctr Informat Commun & Knowle, Dept Archaeometry & Physicochem Measurements, Xanthi 67100, Greece.
E-mail Addresses:
nikkazak at ceti.gr
Cited Reference Count:
31
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:
CE1BJ
Unique ID:
WOS:000351546100011
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Title:
Factors Affecting Citation Rates of Research Articles
Authors:
Onodera, N; Yoshikane, F
Author Full Names:
Onodera, Natsuo; Yoshikane, Fuyuki
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 66 (4):739-764; 10.1002/asi.23209 APR 2015
Language:
English
Document Type:
Article
KeyWords Plus:
SCIENTIFIC COLLABORATION; BIBLIOMETRIC INDICATORS; INFORMATION-SCIENCE; SELF-CITATIONS; JOURNAL IMPACT; CO-AUTHORSHIP; QUALITY; COUNTS; PUBLICATIONS; REFERENCES
Abstract:
This study examines whether there are some general trends across subject
fields regarding the factors affecting the number of citations of
articles, focusing especially on those factors that are not directly
related to the quality or content of articles (extrinsic factors). For
this purpose, from 6 selected subject fields (condensed matter physics,
inorganic and nuclear chemistry, electric and electronic engineering,
biochemistry and molecular biology, physiology, and gastroenterology),
original articles published in the same year were sampled (n=230-240 for
each field). Then, the citation counts received by the articles in
relatively long citation windows (6 and 11 years after publication) were
predicted by negative binomial multiple regression (NBMR) analysis for
each field. Various article features about author collaboration, cited
references, visibility, authors' achievements (measured by past
publications and citedness), and publishing journals were considered as
the explanatory variables of NBMR. Some generality across the fields was
found with regard to the selected predicting factors and the degree of
significance of these predictors. The Price index was the strongest
predictor of citations, and number of references was the next. The
effects of number of authors and authors' achievement measures were
rather weak.
Addresses:
[Onodera, Natsuo; Yoshikane, Fuyuki] Univ Tsukuba, Fac Lib Informat & Media Sci, Tsukuba, Ibaraki 3058550, Japan.
E-mail Addresses:
nt.onodera at y5.dion.ne.jp; fuyuki at slis.tsukuba.ac.jp
Funding Acknowledgement:
JSPS [18300080]
Funding Text:
This work was supported by JSPS KAKENHI Grant Number 18300080. We appreciate useful discussions with the members of the research group, in addition to their support for data acquisition and processing. We express our gratitude for helpful advice from the reviewers regarding the bias that was possibly brought on by sampling, the possibility of differences in citation tendency among subfields, and the description of Literature Review.
Cited Reference Count:
71
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:
CD9CW
Unique ID:
WOS:000351395800007
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Title:
Power laws in citation distributions: evidence from Scopus
Authors:
Brzezinski, M
Author Full Names:
Brzezinski, Michal
Source:
SCIENTOMETRICS, 103 (1):213-228; 10.1007/s11192-014-1524-z APR 2015
Language:
English
Document Type:
Article
Author Keywords:
Citation distribution, Power law, Statistical modelling, Scopus
KeyWords Plus:
SCIENTIFIC CITATIONS; IMPACT
Abstract:
Modeling distributions of citations to scientific papers is crucial for
understanding how science develops. However, there is a considerable
empirical controversy on which statistical model fits the citation
distributions best. This paper is concerned with rigorous empirical
detection of power-law behaviour in the distribution of citations
received by the most highly cited scientific papers. We have used a
large, novel data set on citations to scientific papers published
between 1998 and 2002 drawn from Scopus. The power-law model is compared
with a number of alternative models using a likelihood ratio test. We
have found that the power-law hypothesis is rejected for around half of
the Scopus fields of science. For these fields of science, the Yule,
power-law with exponential cut-off and log-normal distributions seem to
fit the data better than the pure power-law model. On the other hand,
when the power-law hypothesis is not rejected, it is usually empirically
indistinguishable from most of the alternative models. The pure
power-law model seems to be the best model only for the most highly
cited papers in "Physics and Astronomy". Overall, our results seem to
support theories implying that the most highly cited scientific papers
follow the Yule, power-law with exponential cut-off or log-normal
distribution. Our findings suggest also that power laws in citation
distributions, when present, account only for a very small fraction of
the published papers (less than 1 % for most of science fields) and that
the power-law scaling parameter (exponent) is substantially higher (from
around 3.2 to around 4.7) than found in the older literature.
Addresses:
Univ Warsaw, Fac Econ Sci, PL-00241 Warsaw, Poland.
E-mail Addresses:
mbrzezinski at wne.uw.edu.pl
Cited Reference Count:
31
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:
CE1BJ
Unique ID:
WOS:000351546100010
Cited References:
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Title:
A Patento-*Scientometric* Approach to Venture Capital Investment Prioritization
Authors:
Motta, GD; Garcia, PAD; Quintella, RH
Author Full Names:
Motta, Gustavo da Silva; de Almada Garcia, Pauli Adriano; Quintella,
Rogerio Hermida
Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 66 (4):765-777; 10.1002/asi.23205 APR 2015
Language:
English
Document Type:
Article
Author Keywords:
business, funding, management
KeyWords Plus:
INNOVATION; FIRMS; TECHNOLOGY; INDICATORS; COMPANIES; COUNTRY; SCIENCE; FINANCE; GROWTH; MODELS
Abstract:
This paper proposes an approach to analyzing and prioritizing venture
capital investments with the use of scientometric and patentometric
indicators. The article highlights the importance of such investments in
the development of technology-based companies and their positive impacts
on the economic development of regions and countries. It also notes that
the managers of venture capital funds struggle to objectify the
evaluation of investment proposals. This paper analyzes the selection
process of 10 companies, five of which received investments by the
largest venture capital fund in Brazil and the other five of which were
rejected by this same fund. We formulated scientometric and
patentometric indicators related to each company and conducted a
comparative analysis of each by considering the indicators grouped by
the nonfinancial criteria (technology, market, and divestiture team)
from analysis of the investment proposals. The proposed approach
clarifies aspects of the criteria evaluated and contributes to the
construction of a method for prioritizing venture capital investments.
Addresses:
[Motta, Gustavo da Silva; de Almada Garcia, Pauli Adriano] Univ Fed Bahia, Univ Fed Fluminense, BR-27213415 Volta Redonda, RJ, Brazil.
[Quintella, Rogerio Hermida] Univ Fed Bahia, BR-41110100 Salvador, BA, Brazil.
E-mail Addresses:
gustavosmotta at gmail.com; pauliadriano at id.uff.br; rhquintella at gmail.com
Cited Reference Count:
65
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:
CD9CW
Unique ID:
WOS:000351395800008
Cited References:
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Bank of England, 1996, The financing of technology-based small firms,
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BANKER RD, 1984, MANAGEMENT SCIENCE, V30, P1078
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Carvalho A. G., 2006, A industria de Private Equity e venture capital: primeiro censo brasileiro,
Zhu J, 2009, QUANTITATIVE MODELS FOR PERFORMANCE EVALUATION AND BENCHMARKING: DATA ENVELOPMENT ANALYSIS WITH SPREADSHEETS, SECOND EDITION, V126, P1
Charnes A., 1994, Data envelopment analysis: Theory, methodology and applications,
Birch D., 1979, MIT program on neighbourhood and regional change,
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Albuquerque E., 2000, SAo Paulo em Perspectiva, V14, P108
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Gompers P, 2005, JOURNAL OF FINANCE, V60, P577
Maricato J. M., 2010, Dinamica das relacoes entre Ciencia e Tecnologia: estudo Bibliometrico e Cientometrico de multiplos indicadores de artigos e patentes em biodiesel,
MACIAS-CHAPULA C. A., 1998, Ciencias da Informacao, V27, P134
Dagnino R, 2010, Estudos sociais da ciencia e tecnologia & politica de ciencia e tecnologia: alternativas para uma nova America Latina, P47
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Title:
Competitive funding, citation regimes, and the diminishment of breakthrough research
Authors:
Young, M
Author Full Names:
Young, Mitchell
Source:
HIGHER EDUCATION, 69 (3):421-434; 10.1007/s10734-014-9783-4 MAR 2015
Language:
English
Document Type:
Article
Author Keywords:
Higher education policy, Research funding, Institutionalism, Academic workplace
Abstract:
At first glance Sweden looks like a researcher's paradise with high
levels of GDP investment in research and high scores on citation
indexes, yet recent studies have suggested that Sweden might be losing
its edge in groundbreaking research. This paper explores why that is
happening by examining researchers' logics of decision-making at a large
university in Sweden. Interviews with researchers at different career
stages and at a range of different departments are analyzed using a
neo-institutionalist framework. The inherent logic of the quasi-markets
which have been constructed to implement new policy ideas is compared to
the logics by which researchers approach their funding applications and
research outputs. The results suggest that a highly fragmented and
competitive system can undermine efforts to foster groundbreaking
research, despite the expectations posited by a neoliberal logic of
governance.
Addresses:
Charles Univ Prague, Fac Social Sci, Dept West European Studies, Prague 11000 1, Czech Republic.
E-mail Addresses:
young.mitchell at gmail.com
Funding Acknowledgement:
Grant Agency of Charles University [GAUK 910988]
Funding Text:
This work was supported by the Grant Agency of Charles University [GAUK 910988].
Cited Reference Count:
14
Times Cited:
0
Publisher:
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
ISSN:
0018-1560
eISSN:
1573-174X
Web of Science Categories:
Education & Educational Research
Research Areas:
Education & Educational Research
IDS Number:
CD5YJ
Unique ID:
WOS:000351164400006
Cited References:
Commission of the European Communities, 2006, Research And Innovation, COM (2006) 208 final,
OECD, 2013, OECD reviews of innovation policy: Sweden 2012,
Forskning. se, 2009, Swedish Research- Main financing bodies,
Marton S., 2005, Reform and change in higher education, P325
Hall P., 1996, Political Studies, VXLIV, P952
Swedish Research Council, 2010, Swedish production of highly cited scientific publicationsOriginal title: Den svenska produktionen av hogt citerade vetenskapliga publikationer,
March J. G., 2008, P689
Peters G., 2012, Institutional theory in political science: The new institutionalism,
Carlsson H., 2009, Infotrend, V64, P82
Commission, 2013, Research and Innovation performance in EU Member States and associated countries,
MERTON RK, 1968, SCIENCE, V159, P56
Swedish Government, 2007, Resurser for kvalitetResources Inquiry,
Pollack M., 2009, European Integration Theory,
Oquist G., 2012, Fostering breakthrough research: A comparative study,
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Title:
New journal classification methods based on the global h-index
Authors:
Xu, F; Liu, WB; Mingers, J
Author Full Names:
Xu, F.; Liu, W. B.; Mingers, J.
Source:
INFORMATION PROCESSING & MANAGEMENT, 51 (2):50-61; SI 10.1016/j.ipm.2014.10.011 MAR 2015
Language:
English
Document Type:
Article
Author Keywords:
Research evaluation, Journal ranking, The h-index, The Gh-index, X-j Class, L-j Class
KeyWords Plus:
IMPACT FACTORS; BUSINESS
Abstract:
In this work we develop new journal classification methods based on the
h-index. The introduction of the h-index for research evaluation has
attracted much attention in the bibliometric study and research quality
evaluation. The main purpose of using an h-index is to compare the index
for different research units (e.g. researchers, journals, etc.) to
differentiate their research performance. However the h-index is defined
by only comparing citations counts of one's own publications, it is
doubtful that the h index alone should be used for reliable comparisons
among different research units, like researchers or journals. In this
paper we propose a new global h-index (Gh-index), where the publications
in the core are selected in comparison with all the publications of the
units to be evaluated. Furthermore, we introduce some variants of the
Gh-index to address the issue of discrimination power. We show that
together with the original h-index, they can be used to evaluate and
classify academic journals with some distinct advantages, in particular
that they can produce an automatic classification into a number of
categories without arbitrary cut-off points. We then carry out an
empirical study for classification of operations research and management
science (OR/MS) journals using this index, and compare it with other
well-known journal ranking results such as the Association of Business
Schools (ABS) journal Quality Guide and the Committee of Professors in
OR (COPIOR) ranking lists. (C) 2014 Elsevier Ltd. All rights reserved.
Addresses:
[Xu, F.] Chinese Acad Sci, Inst Policy & Management, Beijing 100190, Peoples R China.
[Liu, W. B.; Mingers, J.] Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England.
Funding Acknowledgement:
National Natural Science Foundation of China [71201159]
Funding Text:
This work is funded by the National Natural Science Foundation of China (Grant No: 71201159).
Cited Reference Count:
15
Times Cited:
0
Publisher:
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
ISSN:
0306-4573
eISSN:
1873-5371
Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
CD8BL
Unique ID:
WOS:000351320100004
Cited References:
Braun Tibor, 2006, SCIENTOMETRICS, V69, P169
Harzing Anne-Wil, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P41
Burrell Quentin L., 2007, JOURNAL OF INFORMETRICS, V1, P170
Whitehouse G, 2001, BRITISH JOURNAL OF RADIOLOGY, V74, P1
Chandy P. R, 1991, Akron Business and Economic Review, V22, P214
COPIOR, 2011, Committee of Professors in OR (COPIOR) OR Journal List,
GARFIELD E, 1972, SCIENCE, V178, P471
Saad Gad, 2006, SCIENTOMETRICS, V69, P117
Glanzel W, 2002, SCIENTOMETRICS8th International Conference on Scientometrics and Informetrics, JUL 17, 2001, SYDNEY, AUSTRALIA, V53, P171
ABS, 2011, ABS academic journal quality guide,
Egghe Leo, 2006, SCIENTOMETRICS, V69, P131
Liu Yuxian, 2009, SCIENTOMETRICS, V79, P235
Cabrerizo F. J., 2010, JOURNAL OF INFORMETRICS, V4, P23
Yu G, 2005, SCIENTOMETRICS, V64, P235
Glanzel W., 2005, ISSI Newsletter, V1, P15
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Title:
Diversifying Citation Recommendations
Authors:
Kucuktunc, O; Saule, E; Kaya, K; Catalyurek, UV
Author Full Names:
Kuecuektunc, Onur; Saule, Erik; Kaya, Kamer; Catalyuerek, Uemit V.
Source:
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 5 (4):10.1145/2668106 JAN 2015
Language:
English
Document Type:
Article
Author Keywords:
Algorithms, Experimentation, Bibliographic search, diversity, direction awareness
KeyWords Plus:
NETWORKS; PAGERANK
Abstract:
Literature search is one of the most important steps of academic
research. With more than 100,000 papers published each year just in
computer science, performing a complete literature search becomes a
Herculean task. Some of the existing approaches and tools for literature
search cannot compete with the characteristics of today's literature,
and they suffer from ambiguity and homonymy. Techniques based on
citation information are more robust to the mentioned issues. Thus, we
recently built a Web service called the advisor, which provides
personalized recommendations to researchers based on their papers of
interest. Since most recommendation methods may return redundant
results, diversifying the results of the search process is necessary to
increase the amount of information that one can reach via an automated
search. This article targets the problem of result diversification in
citation-based bibliographic search, assuming that the citation graph
itself is the only information available and no categories or intents
are known. The contribution of this work is threefold. We survey various
random walk-based diversification methods and enhance them with the
direction awareness property to allow users to reach either old,
foundational (possibly well-cited and well-known) research papers or
recent (most likely less-known) ones. Next, we propose a set of novel
algorithms based on vertex selection and query refinement. A set of
experiments with various evaluation criteria shows that the
proposed.-RLM algorithm performs better than the existing approaches and
is suitable for real-time bibliographic search in practice.
Addresses:
[Kuecuektunc, Onur] Ohio State Univ, Dept Comp Sci & Engn, Columbus, OH 43210 USA.
[Saule, Erik] Univ N Carolina, Dept Comp Sci, Charlotte, NC 28223 USA.
[Kaya, Kamer; Catalyuerek, Uemit V.] Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA.
E-mail Addresses:
kucuktunc.1 at osu.edu; esaule at uncc.edu; kamer at bmi.osu.edu; umit at bmi.osu.edu
Funding Acknowledgement:
NIH/NCI [R01CA141090]; NSF [CNS-0643969]
Funding Text:
This work was partially supported by NIH/NCI grant R01CA141090 and NSF grant CNS-0643969.
Cited Reference Count:
35
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:
55
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Information Systems
Research Areas:
Computer Science
IDS Number:
CD9VI
Unique ID:
WOS:000351446900004
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Title:
A bibliometric analysis of the 100 most influential papers on COPD
Authors:
Gu, WC; Yuan, YP; Yang, H; Qi, GS; Jin, XY; Yan, J
Author Full Names:
Gu, Wenchao; Yuan, Yaping; Yang, Hua; Qi, Guangsheng; Jin, Xiaoyan; Yan,
Jin
Source:
INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE, 10 667-676; 10.2147/COPD.S74911 2015
Language:
English
Document Type:
Article
Author Keywords:
citation analysis, top-cited, chronic obstructive pulmonary disease
KeyWords Plus:
OBSTRUCTIVE PULMONARY-DISEASE; RANDOMIZED CONTROLLED-TRIAL; PERIPHERAL MUSCLE WEAKNESS; NECROSIS-FACTOR-ALPHA; BODY-MASS INDEX; QUALITY-OF-LIFE; LUNG-FUNCTION; ACUTE EXACERBATIONS; OXIDATIVE STRESS; FLUTICASONE PROPIONATE
Abstract:
Objective: We aimed to identify the 100 top-cited articles published on
chronic obstructive pulmonary disease (COPD) and to analyze their
characteristics so as to provide information on the achievement and
development in COPD research over the past decades.
Methods and materials: A comprehensive list of citation classics in COPD
was generated by searching the Science Citation Index expanded database,
using the keywords "COPD" or "chronic obstructive pulmonary disease" or
"chronic obstructive pulmonary diseases". The 100 top-cited research
papers were retrieved by reading the abstract or full text if needed.
All eligible articles were read for basic information, including country
of origin, organizations, article type, journals, research field, and
authors.
Results: The 100 top-cited articles on COPD were published between 1966
and 2010. The number of citations ranged from 254 to 2,164, with a mean
of 450 citations for each article. These citation classics were from 32
countries, with 38 from the United States. The Imperial College London
led the list of classics, with 16 papers. The 100 top-cited articles
were distributed in 18 journals, with the American Journal of
Respiratory, Critical Care Medicine, and Journal of the American Medical
Association topping the list. Among the various fields, both respiratory
system (63%) and general internal medicine (63%) were the most common
fields of study for the 100 articles.
Conclusion: Our bibliometric analysis provides a historical perspective
on the progress of scientific research on COPD. Articles originating
from the United States and published in high-impact specialized
respiratory journals are most likely to be cited in the field of COPD
research.
Addresses:
[Gu, Wenchao; Yuan, Yaping; Yang, Hua; Qi, Guangsheng] Peoples Hosp Shanghai, Dept Resp Med, Pudong New Area, Peoples R China.
[Jin, Xiaoyan; Yan, Jin] Tongren Hosp, Dept Resp Med, Shanghai 200050, Peoples R China.
E-mail Addresses:
dotjin at 126.com
Funding Acknowledgement:
Outstanding Leaders Training Program of Pudong Health Bureau of Shanghai [PWR12014-04]; Key Discipline Construction Project of Pudong Health Bureau of Shanghai [PWZx2014-12]
Funding Text:
This study was funded by Outstanding Leaders Training Program of Pudong Health Bureau of Shanghai (Grant No PWR12014-04) and Key Discipline Construction Project of Pudong Health Bureau of Shanghai (Grant No PWZx2014-12).
Cited Reference Count:
130
Times Cited:
0
Publisher:
DOVE MEDICAL PRESS LTD, PO BOX 300-008, ALBANY, AUCKLAND 0752, NEW ZEALAND
ISSN:
1178-2005
Web of Science Categories:
Respiratory System
Research Areas:
Respiratory System
IDS Number:
CE2BU
Unique ID:
WOS:000351618700001
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Title:
Maurice Duverger (1917-2014): the world's most *cited* French political scientist, who was always close to sociology
Authors:
Novak, M
Author Full Names:
Novak, Miroslav
Source:
SOCIOLOGICKY CASOPIS-CZECH SOCIOLOGICAL REVIEW, 51 (1):137-146; 2015
Language:
Czech
Document Type:
Editorial Material
Cited Reference Count:
43
Times Cited:
0
Publisher:
SOCIOLOGICKY CASOPIS, JILSKA 1, PRAGUE 1 110 00, CZECH REPUBLIC
ISSN:
0038-0288
Web of Science Categories:
Sociology
Research Areas:
Sociology
IDS Number:
CD8IB
Unique ID:
WOS:000351337300007
Cited References:
Duverger M., 1978, Echec an roi,
Duverger M., 1996, Le systeme politique francais. Institutions politiques et droit constitutionnel, V2,
Novak M., 2011, Uvod do studia politiky,
Duverger M., 1988, La nostalgie de l'impuissance,
Sartori G., 1994, Comparative Constitutional Engineering,
Zylberberg J., 1991, Revue francaise de science politique, V41, P417
Le Gendre B., 2014, Le Monde,
Lane J.-E., 2000, The New Institutional Politics. Performance and Outcomes,
Duverger M., 1964, Methodes des sciences sociales,
Duverger M., 1981, Les partis politiques,
Duverger M., 1964, Introduction to the Social Sciences: With Special Reference to Their Methods,
Duverger M., 1996, Pouvoirs, V29, P107
1987, Droit, institutions et systemes politiques: melanges en hommage a Maurice Duverger,
Hoffmann-Martinot V., 2005, French Politics, V3, P304
Sartori G., 2005, Strany a stranicke systemy. Schema pro analyzu,
Duverger M., 1988, Institutions politiques et droit constitutionnel, V1,
1986, Les Regimes semi-presidentiels,
Duverger M., 1974, La Monarchie republicaine, ou comment les democraties se donnent des rois,
Burdeau G., 1961, Revue francaise de science politique, V11, P723
Sartori G., 2001, Srovnavaci ustavni inzenyrstvi,
Duverger M., 1951, Les partis politiques,
Duverger M., 1972, Janus: les deux faces de l'Occident,
Duverger M., 1948, Les regimes politiques,
Seiler D. -L., 2010, Revue internationale de politique comparee, V17, P55
Lipset S. M., 1967, Party Systems and Voters Alignments: Cross National Perspectives,
Duguit L., 1924, Svrchovanost a svoboda,
1980, Le concept d'empire,
Dahrendorf R., 1972, Classes et conflits de classes dans la societe industrielle,
Duverger M., 1990, Le lievre liberal et la tortue europeenne,
Duverger M., 1955, La participation des femines a la vie politique,
Novak M, 2003, SOCIOLOGICKY CASOPIS-CZECH SOCIOLOGICAL REVIEW, V39, P11
Duverger M., 1973, Sociologie de la politique,
Dahrendorf R., 1957, Soziale Klassen und Klassenkonflikt in der industriellen Gesellschaft,
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[Anonymous], 2010, Revue internationale de politique comparee, V17,
Duverger M., 1959, Methodes de science politique,
Lane J.-E., 2003, French Politics, V1, P119
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Dahrendorf R., 1959, Class and Class Conflict in Industrial Society,
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Title:
A bibliometric analysis of orthopedic publications originating from Turkey
Authors:
Gurbuz, Y; Sugun, TS; Ozaksar, K
Author Full Names:
Gurbuz, Yusuf; Sugun, Tahir Sadik; Ozaksar, Kemal
Source:
ACTA ORTHOPAEDICA ET TRAUMATOLOGICA TURCICA, 49 (1):57-66; 10.3944/AOTT.2015.14.0044 2015
Language:
English
Document Type:
Article
Author Keywords:
Bibliometric analysis, impact factor, orthopedics, Turkey, Web of Science
KeyWords Plus:
SPINAL TUBERCULOSIS; SURGERY; INSTRUMENTATION; FRACTURES; FIXATION; LESIONS; IMPACT; INJURY
Abstract:
Objective: The objective of this study was to analyze the research
productivity originating in Turkey using articles published in the top
40 orthopedic journals according to the Journal Citation Reports for
2013.
Methods: All scientific papers published in English and included in the
Science Citation Index Expanded between 1980 and 2013 were analyzed
using the "Web of Science". The number of publications per million (PmP)
was calculated. All selected journals were analyzed for the numbers of
articles, authorships, institutions and 100 most frequently cited
papers.
Results: From a total of 130,494 articles published worldwide, the
United States ranked first according to output. Turkey ranked 14th in
the number of orthopedic publications and 26th out of 30 countries in
the PmP index. 2012 produced the greatest number of publications
worldwide and 2008 for Turkey. Gunal I., Yazici M. and Ozturk C. were
the most frequent contributors. Hacettepe University, Istanbul
University and Ankara University were the most frequent intuitions among
all Turkish publications. The Archives of Orthopaedic and Trauma Surgery
was the most frequently published journal in this period with a rate of
16.3%. There was a total of 9,085 (8,765; excluding self-citations)
citations of the 1,398 publications published in Turkey until December
2013, with a citation-to-work ratio of 7.47 and an h-index of 34.
Conclusion: With the newly established universities, as well as training
and research clinics, the approach of increasing number of orthopedics
and traumatology clinics and specialists to scientific activities would
be more fruitful in the light of these data.
Addresses:
[Gurbuz, Yusuf; Sugun, Tahir Sadik; Ozaksar, Kemal] Hand Microsurg Orthopaed & Traumatol EMOT Hosp, Izmir, Turkey.
E-mail Addresses:
ygurbuz at gmail.com
Cited Reference Count:
20
Times Cited:
0
Publisher:
TURKISH ASSOC ORTHOPAEDICS TRAUMATOLOGY, TIP FAKULTESI ORTOPEDI VE TRAVMATOLOJI KLINIGI, ISTANBUL, TOPKAPI 34390, TURKEY
ISSN:
1017-995X
Web of Science Categories:
Orthopedics
Research Areas:
Orthopedics
IDS Number:
CD7NW
Unique ID:
WOS:000351278400012
PubMed ID:
25803255
Cited References:
Kennedy C., 2013, SURGEON-JOURNAL OF THE ROYAL COLLEGES OF SURGEONS OF EDINBURGH AND IRELAND, V11, P267
DeMola Philip M., 2009, CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, V467, P1629
Ajuied Adil, 2013, JOURNAL OF ARTHROPLASTY, V28, P751
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Kelly J. C., 2010, JOURNAL OF BONE AND JOINT SURGERY-BRITISH VOLUME, V92B, P1338
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Alanay A, 2001, SPINE, V26, P213
Fernandes Carlos Henrique, 2012, Hand surgery : an international journal devoted to hand and upper limb surgery and related research : journal of the Asia-Pacific Federation of Societies for Surgery of the Hand, V17, P311
Levendoglu F, 2004, SPINE, V29, P743
Ahn C. S., 2012, JOURNAL OF HAND SURGERY-EUROPEAN VOLUME, V37E, P275
KUTLU A, 1992, JOURNAL OF PEDIATRIC ORTHOPAEDICS, V12, P598
Tandogan RN, 2004, KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPYESSKA 2000 Congress, 2000, London, ENGLAND, V12, P262
Salci Y, 2004, CLINICAL BIOMECHANICS, V19, P622
GUVEN O, 1994, SPINE, V19, P1039
Baktir A, 1996, JOURNAL OF HAND SURGERY-BRITISH AND EUROPEAN VOLUME, V21B, P624
Asik Mehmet, 2008, ARTHROSCOPY-THE JOURNAL OF ARTHROSCOPIC AND RELATED SURGERY, V24, P1214
Tuzun EH, 2005, OSTEOARTHRITIS AND CARTILAGE, V13, P28
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Title:
Bibliometric analysis of ethnobotanical research in Brazil (1988-2013)
Authors:
Ritter, MR; da Silva, TC; Araujo, ED; Albuquerque, UP
Author Full Names:
Ritter, Mara Rejane; da Silva, Taline Cristina; Araujo, Elcida de Lima;
Albuquerque, Ulysses Paulino
Source:
ACTA BOTANICA BRASILICA, 29 (1):113-119; 10.1590/0102-33062014abb3524 JAN-MAR 2015
Language:
English
Document Type:
Article
Author Keywords:
economic botany, ethnobiology, ethnoecology, scientometrics, traditional knowledge
Abstract:
This study aimed to define the current status of ethnobotanical research
in Brazil based on published scientific articles and to detect current
knowledge gaps in Brazil's ethnobotany. A database, including articles
published in national and international scientific journals from 1988 to
2013, was gathered for this purpose. This report discusses the growing
number of publications in ethnobotanical research and the main
techniques used in the discipline. To identify current knowledge gaps,
his report emphasizes the main focus of the different studies, target
regions, and communities targeted or involved in the original study.
Most publications focused on the northeast and southeast Brazil, and the
most frequently studied biomes were the Caatinga and Atlantic forest.
Further, the most frequently studied communities were located in rural
areas, although the number of studies focused in urban areas has been
steadily increasing. A lack of human resources in ethnobotanical
research and a lack of current studies in the Amazon, Cerrado, Pampa,
and Pantanal regions were the main identified gaps. These data provide a
basis for future studies and investments aimed at strengthening
ethnobotanical research in Brazil.
Addresses:
[Ritter, Mara Rejane] Univ Fed Rio Grande do Sul, Inst Biociencias, Dept Bot, BR-91501970 Porto Alegre, RS, Brazil.
[da Silva, Taline Cristina; Araujo, Elcida de Lima; Albuquerque, Ulysses Paulino] Univ Fed Rural Pernambuco, Dept Biol, Lab Etnobo Aplicada, Area Bot, BR-52171900 Recife, PE, Brazil.
E-mail Addresses:
mara.ritter at ufrgs.br
Funding Acknowledgement:
Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES); Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq); CAPES/PNADB through the project "Knowledge, use and conservation of plant biodiversity in Atlantic forest and Caatinga" (UFSC/UFRPE/UFRGS)
Funding Text:
The authors gratefully acknowledge Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) for a postdoctoral scholarship (PNADB, Programa Nacional de Desenvolvimento da Botanica) to the first author and Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) for a productivity in research scholarship to E.L. Araujo and U.P. Albuquerque. This paper is the contribution number thirteen supported by CAPES/PNADB through the project "Knowledge, use and conservation of plant biodiversity in Atlantic forest and Caatinga" (UFSC/UFRPE/UFRGS).
Cited Reference Count:
22
Times Cited:
0
Publisher:
SOC BOTANICA BRASIL, CAIXA POSTAL 3005, SAO PAULO SP, 01061-970, BRAZIL
ISSN:
0102-3306
eISSN:
1677-941X
Web of Science Categories:
Plant Sciences
Research Areas:
Plant Sciences
IDS Number:
CD5PN
Unique ID:
WOS:000351140400013
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*Order Full Text [ ]
Title:
Representing Documents and Persons in Information Systems: Library and Information Science and Citation Indexing and Analysis
Authors:
Day, RE
Author Full Names:
Day, Ronald E.
Book Author(s):
Day, RE (Day, RE)
Book Author Full Names:
Day, RE
Source:
INDEXING IT ALL: THE SUBJECT IN THE AGE OF DOCUMENTATION, INFORMATION, AND DATA, 35-+; 2014
Book Series:
History and Foundations of Information Science
Language:
English
Document Type:
Article; Book Chapter
Cited Reference Count:
0
Times Cited:
0
Publisher:
MIT PRESS, FIVE CAMBRIDGE CENTER, CAMBRIDGE, MA 02142 USA
ISBN:
978-0-262-02821-9
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
BC1LJ
Unique ID:
WOS:000350240700004
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*Order Full Text [ ]
Title:
Nearest Neighbour-Guided Induced OWA and its Application to Journal Ranking
Authors:
Su, P; Chen, TH; Shang, CJ; Shen, Q
Author Full Names:
Su, Pan; Chen, Tianhua; Shang, Changjing; Shen, Qiang
Book Group Author(s):
IEEE
Source:
2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 1794-1800; 2014
Book Series:
IEEE International Fuzzy Systems Conference Proceedings
Language:
English
Document Type:
Proceedings Paper
Conference Title:
IEEE International Conference on Fuzzy Systems
Conference Date:
JUL 06-11, 2014
Conference Location:
Beijing, PEOPLES R CHINA
Conference Sponsors:
IEEE
KeyWords Plus:
WEIGHTED AVERAGING OPERATORS; DECISION-MAKING
Abstract:
Aggregation operators are useful tools which summarise multiple inputs
to a single output. In practice, inputs to such operators are variables
which represent different criteria, measurements, or opinions from
experts. In this paper, a nearest neighbour-guided induced OWA operator,
abbreviated as kNN-IOWA, is proposed as a special case of the generic
induced OWA where the input arguments are ordered by the average
distances to their k nearest neighbours. The weighting vectors in
kNN-IOWA are defined, which are used to interpret the overall behaviour
of the operator's reliability. kNN-IOWA is applied for building
aggregated fuzzy relations between academic journals, based on their
indicator scores. It combines the similarities between academic journals
to assess their performance with respect to different journal impact
indicators. The work is compared against different types of aggregation
operator and tested on six bibliometric datasets. The results of
experimental evaluation demonstrate that kNN-IOWA outperforms other
aggregation operators in terms of standard accuracy and within-1
accuracy. The proposed method also exhibits the advantages of being more
intuitive and interpretable.
Addresses:
[Su, Pan; Chen, Tianhua; Shang, Changjing; Shen, Qiang] Aberystwyth Univ, Inst Math Phys & Comp Sci, Dept Comp Sci, Aberystwyth SY23 3FG, Dyfed, Wales.
E-mail Addresses:
pas23 at aber.ac.uk; tic4 at aber.ac.uk; cns at aber.ac.uk; qqs at aber.ac.uk
Cited Reference Count:
32
Times Cited:
0
Publisher:
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
ISSN:
1544-5615
ISBN:
978-1-4799-2072-3
Web of Science Categories:
Automation & Control Systems; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic
Research Areas:
Automation & Control Systems; Computer Science; Engineering
IDS Number:
BC2EG
Unique ID:
WOS:000350793500259
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