[Sigmetrics] Papers of possible interest to readers of the SIG-Metrics List (August 16, 2016)

[eugene.garfield at thomsonreuters.com]

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Title:
Virtual and remote labs in education: A bibliometric analysis

Authors:
Heradio, R; de la Torre, L; Galan, D; Cabrerizo, FJ; Herrera-Viedma, E;
Dormido, S

Author Full Names:
Heradio, Ruben; de la Torre, Luis; Galan, Daniel; Javier Cabrerizo,
Francisco; Herrera-Viedma, Enrique; Dormido, Sebastian

Source:
COMPUTERS & EDUCATION, 98 14-38; 10.1016/j.compedu.2016.03.010 JUL 2016 

Language:
English

Document Type:
Article

Author Keywords:
Virtual laboratory, Remote laboratory, Web-based experimentation, Bibliometrics, Science mapping

KeyWords Plus:
CONTROL ENGINEERING-EDUCATION; ELEMENTARY-SCHOOL STUDENTS; WEB-BASED EXPERIMENTATION; CO-WORD ANALYSIS; LABORATORY EXPERIMENTS; AUTOMATIC-CONTROL; UNDERGRADUATE STUDENTS; AUGMENTED REALITY; UNIT OPERATIONS; H-INDEX

Abstract: 
Laboratory experimentation plays an essential role in engineering and
scientific education. Virtual and remote labs reduce the costs
associated with conventional hands-on labs due to their required
equipment, space, and maintenance staff. Furthermore, they provide
additional benefits such as supporting distance learning, improving lab
accessibility to handicapped people, and increasing safety for dangerous
experimentation. This paper analyzes the literature on virtual and
remote labs from its beginnings to 2015, identifying the most
influential publications, the most researched topics, and how the
interest in those topics has evolved along the way. To do so,
bibliographical data gathered from ISI Web of Science, Scopus and
GRC2014 have been examined using two prominent bibliometric approaches:
science mapping and performance analysis. (C) 2016 Elsevier Ltd. All
rights reserved.

Reprint Address:
Heradio, R (reprint author), Univ Nacl Educ Distancia, Dept Ingn Software & Sistemas Informat, E-28040 Madrid, Spain.

Addresses:
[Heradio, Ruben; Javier Cabrerizo, Francisco] Univ Nacl Educ Distancia, Dept Ingn Software & Sistemas Informat, E-28040 Madrid, Spain. 
[de la Torre, Luis; Galan, Daniel; Dormido, Sebastian] Univ Nacl Educ Distancia, Dept Informat & Automat, E-28040 Madrid, Spain. 
[Herrera-Viedma, Enrique] Univ Granada, Dept Ciencias Comp & Inteligencia Artificial, E-18071 Granada, Spain. 

E-mail Addresses:
rheradio at issi.uned.es

Funding Acknowledgement:
Spanish Ministry of Economy and Competitiveness [DPI2012-31303]; FEDER [TIN2013-40658-P]; Andalusian Excellence Project [TIC-5991]

Funding Text:
This work has been supported by Project DPI2012-31303 (financed by the Spanish Ministry of Economy and Competitiveness), Project TIN2013-40658-P (financed by FEDER), and the Andalusian Excellence Project TIC-5991.

Cited Reference Count:
189

Times Cited:
0

Publisher:
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

ISSN:
0360-1315

eISSN:
1873-782X

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Education & Educational Research

Research Areas:
Computer Science; Education & Educational Research

IDS Number:
DM2YB

Unique ID: 
WOS:000376212900002

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Title:
A performance indicator for academic communities based on external publication profiles

Authors:
Silva, THP; Penha, G; da Silva, APC; Moro, MM

Author Full Names:
Silva, Thiago H. P.; Penha, Gustavo; Couto da Silva, Ana Paula; Moro,
Mirella M.

Source:
SCIENTOMETRICS, 107 (3):1389-1403; 10.1007/s11192-016-1901-x JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Bibliometry, Data similarity, Analysis

KeyWords Plus:
CITATIONS; SCIENCE

Abstract: 
Studying research productivity is a challenging task that is important
for understanding how science evolves and crucial for agencies (and
governments). In this context, we propose an approach for quantifying
the scientific performance of a community (group of researchers) based
on the similarity between its publication profile and a reference
community's publication profile. Unlike most approaches that consider
citation analysis, which requires access to the content of a
publication, we only need the researchers' publication records. We
investigate the similarity between communities and adopt a new metric
named Volume Intensity. Our goal is to use Volume Intensity for
measuring the internationality degree of a community. Our experimental
results , using Computer Science graduate programs and including both
real and random scenarios, show we can use publication profile as a
performance indicator.

Reprint Address:
Moro, MM (reprint author), Univ Fed Minas Gerais, Dept Comp Sci, Belo Horizonte, MG, Brazil.

Addresses:
[Silva, Thiago H. P.; Penha, Gustavo; Couto da Silva, Ana Paula; Moro, Mirella M.] Univ Fed Minas Gerais, Dept Comp Sci, Belo Horizonte, MG, Brazil. 

E-mail Addresses:
thps at dcc.ufmg.br; guzpenha at dcc.ufmg.br; ana.coutosilva at dcc.ufmg.br; mirella at dcc.ufmg.br

Funding Acknowledgement:
CNPq; FAPEMIG

Funding Text:
This work was funded by the authors' individual grants from CNPq and FAPEMIG.

Cited Reference Count:
30

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:
DM3VB

Unique ID: 
WOS:000376273700024

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Title:
The study of subject-classification based on journal coupling and expert subject-classification system

Authors:
Zhang, J; Liu, XM; Wu, LL

Author Full Names:
Zhang, Jing; Liu, Xiaomin; Wu, Lili

Source:
SCIENTOMETRICS, 107 (3):1149-1170; 10.1007/s11192-016-1890-9 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Subject-classification, Journal coupling, Cluster analysis, Text mining, Chinese library classification

KeyWords Plus:
SCIENTIFIC JOURNALS; INFORMATION-SCIENCE; COCITATION ANALYSIS; CITATION-REPORTS; CLUSTERS; TERMS; MAPS; SET

Abstract: 
As the framework of scientific research, subject-classification plays an
important role in the development of science. In order to combine the
development of science with the current expert subject-classification
system and further give a more appropriate description of scientific
output analysis from subject level, We study the relationship between
the natural science related sub-categories of Chinese library
classification using objective computerized scientometrics, and give
some modification to the first two level subjects of the existing
Chinese library classification system. Taking Chinese Science Citation
Database as our data source, this article studies the similarity of
subjects based on journal coupling strength. Then we try to set up an
improved subject-classification system whose top categories are relied
on Chinese library classification system and sub-categories are the
ensemble clustering result based on journal coupling measure. Further,
in order to help identifying and interpreting the rationality of this
improved classification system, we make use of some text mining methods,
such as key words recognition and topic detection, to explain the cause
of similarity between some subjects from the perspective of semantic.
Our study shows that the improved subject-classification system
constructed in this article not only conforms to previous experience and
cognitive but also combines subject development knowledge.

Reprint Address:
Zhang, J (reprint author), Chinese Acad Sci, Natl Sci Lib, 33 West Rd,North 4th Ring Rd, Beijing 100190, Peoples R China.

Addresses:
[Zhang, Jing; Liu, Xiaomin; Wu, Lili] Chinese Acad Sci, Natl Sci Lib, 33 West Rd,North 4th Ring Rd, Beijing 100190, Peoples R China. 

E-mail Addresses:
xieyun-xieyun at 163.com

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:
DM3VB

Unique ID: 
WOS:000376273700012

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Title:
Designing a Composite Index for research performance evaluation at the national or regional level: ranking Central Universities in India

Authors:
Basu, A; Banshal, SK; Singhal, K; Singh, VK

Author Full Names:
Basu, Aparna; Banshal, Sumit Kumar; Singhal, Khushboo; Singh, Vivek
Kumar

Source:
SCIENTOMETRICS, 107 (3):1171-1193; 10.1007/s11192-016-1935-0 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
National ranking, Research competitiveness, Research ranking, Scientometrics, University Ranking, India

KeyWords Plus:
H-INDEX; FATAL ATTRACTION; RESEARCH OUTPUT; INSTITUTIONS; WORLD; INDICATORS; SCIENCE; IMPACT

Abstract: 
It is now generally accepted that institutions of higher education and
research, largely publicly funded, need to be subjected to some
benchmarking process or performance evaluation. Currently there are
several international ranking exercises that rank institutions at the
global level, using a variety of performance criteria such as research
publication data, citations, awards and reputation surveys etc. In these
ranking exercises, the data are combined in specified ways to create an
index which is then used to rank the institutions. These lists are
generally limited to the top 500-1000 institutions in the world.
Further, some criteria (e.g., the Nobel Prize), used in some of the
ranking exercises, are not relevant for the large number of institutions
that are in the medium range. In this paper we propose a
multidimensional 'Quality-Quantity' Composite Index for a group of
institutions using bibliometric data, that can be used for ranking and
for decision making or policy purposes at the national or regional
level. The index is applied here to rank Central Universities in India.
The ranks obtained compare well with those obtained with the h-index and
partially with the size-dependent Leiden ranking and University Ranking
by Academic Performance. A generalized model for the index using other
variables and variable weights is proposed.

Reprint Address:
Singh, VK (reprint author), Banaras Hindu Univ, Dept Comp Sci, Varanasi 221005, Uttar Pradesh, India.

Addresses:
[Basu, Aparna] CSIR NISTADS, KS Krishnan Marg, New Delhi, India. 
[Banshal, Sumit Kumar; Singhal, Khushboo] South Asian Univ, Dept Comp Sci, New Delhi, India. 
[Singh, Vivek Kumar] Banaras Hindu Univ, Dept Comp Sci, Varanasi 221005, Uttar Pradesh, India. 

E-mail Addresses:
vivekks12 at gmail.com

Funding Acknowledgement:
Department of Science and Technology, Government of India [INT/MEXICO/P-13/2012]; University Grants Commission of India [41-624/2012(SR)]

Funding Text:
This work is supported by research grants from Department of Science and Technology, Government of India (Grant: INT/MEXICO/P-13/2012) and University Grants Commission of India [Grant: F. No. 41-624/2012(SR)].

Cited Reference Count:
40

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:
DM3VB

Unique ID: 
WOS:000376273700013

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Title:
Organizational ambidexterity: exploring the knowledge base

Authors:
Garcia-Lillo, F; Ubeda-Garcia, M; Marco-Lajara, B

Author Full Names:
Garcia-Lillo, Francisco; Ubeda-Garcia, Mercedes; Marco-Lajara, Bartolome

Source:
SCIENTOMETRICS, 107 (3):1021-1040; 10.1007/s11192-016-1897-2 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Organizational ambidexterity, Organization theory, Exploration, Exploitation, Bibliometrics, Citation analysis, Author co-citation analysis (ACA)

KeyWords Plus:
AUTHOR COCITATION ANALYSIS; DYNAMIC CAPABILITIES; ABSORPTIVE-CAPACITY; PRODUCT DEVELOPMENT; BALANCING EXPLORATION; MODERATING ROLE; INTELLECTUAL STRUCTURE; SIMILARITY MEASURES; MARKET ORIENTATION; PROCESS MANAGEMENT

Abstract: 
The present research work shows the results of an analysis about the
existing literature on one of the 'topics' which is currently raising
greater interest among scholars and researchers in the fields of
strategic management and organization science, namely: organizational
ambidexterity. More precisely, and seeking to identify and visualize the
intellectual structure or knowledge base of the research developed in
relation to this construct, a decision was made to analyze a total of
283 research papers which appeared after the publication in the journal
California Management Review in the summer of 1996 of the seminal work
by Tushman and O'Reilly III entitled 'Ambidextrous Organizations:
Managing Evolutionary and Revolutionary Change,' where these authors
suggested that organizations need to explore and exploit simultaneously
if they want to be ambidextrous. As for the methodology applied, it was
based on the utilization of bibliometric techniques-particularly
citation analyses and author co-citation analyses and social networks
analysis.

Reprint Address:
Garcia-Lillo, F (reprint author), Univ Alicante, Dept Management, POB 99, E-03080 Alicante, Spain.

Addresses:
[Garcia-Lillo, Francisco; Ubeda-Garcia, Mercedes; Marco-Lajara, Bartolome] Univ Alicante, Dept Management, POB 99, E-03080 Alicante, Spain. 

E-mail Addresses:
f.garcia at ua.es

Cited Reference Count:
135

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:
DM3VB

Unique ID: 
WOS:000376273700007

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*Order Full Text [ ]

Title:
Associations Between NIH Funding and Advanced Bibliometric Indices Among Radiological Investigators

Authors:
Rosenkrantz, AB; Jiang, A

Author Full Names:
Rosenkrantz, Andrew B.; Jiang, Anthony

Source:
ACADEMIC RADIOLOGY, 23 (6):669-674; 10.1016/j.acra.2016.02.006 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Bibliometrics, publication, citation, h-index, academic radiology

KeyWords Plus:
H-INDEX; ACADEMIC RADIOLOGY; RADIATION ONCOLOGY; PUBLICATION; PRODUCTIVITY; CITATION; IMPACT

Abstract: 
Rationale and Objectives: Whereas data support the h index (reflecting
both publications and citations) as an indicator of academic
productivity, other advanced bibliometric indices aiming to. address
shortcomings of the h index remain poorly studied. Our objective was to
compare the associations between bibliometric indices and total National
Institutes of Health (NIH) grant funding among investigators within U.S.
academic radiology departments.
Materials and Methods: NIH grant funding amounts for 400 NIH-funded
investigators within radiology departments were obtained from Blue Ridge
Institute for Medical Research. Investigators' publications and
associated citations were identified using Scopus. Indices computed for
each investigator included: publication count, citation count, h index,
i-10 index, h(c) index (h index adjusted for recency of publications), m
quotient (h index adjusted for career duration), and e index and g index
(both account for highly cited articles). Spearman correlations were
performed between indices and funding. Multivariable linear regression
was performed to identify significant independent predictors of funding.
Results: For MD investigators: the indices exhibited no-to-weak
correlations with funding (r= 0.173-0.387); m quotient exhibited the
largest correlation and was the only significant (albeit weak)
independent predictor of funding (P = 0.011). For PhD investigators:
correlation with funding was weak for m quotient (r = 0.323), although
moderate for other indices (r = 0.518-0.568); publication count
exhibited highest correlation; publication count (P < 0.001) and h(c)
index (P = 0.024) were significant independent predictors of funding.
Conclusions: Bibliometric indices were more strongly associated with
grant funding for PhD than for MD radiology investigators, with
publication count exhibiting the strongest association in the latter
group. Time-weighted adjustments, as reflected by the m quotient and
h(c) index, may improve efforts to predict funding using bibliometrics.

Reprint Address:
Rosenkrantz, AB (reprint author), NYU, Dept Radiol, Langone Med Ctr, 660 First Ave, New York, NY 10016 USA.

Addresses:
[Rosenkrantz, Andrew B.; Jiang, Anthony] NYU, Dept Radiol, Langone Med Ctr, 660 First Ave, New York, NY 10016 USA. 

E-mail Addresses:
andrew.rosenkrantz at nyumc.org

Cited Reference Count:
17

Times Cited:
0

Publisher:
ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA

ISSN:
1076-6332

eISSN:
1878-4046

Web of Science Categories:
Radiology, Nuclear Medicine & Medical Imaging

Research Areas:
Radiology, Nuclear Medicine & Medical Imaging

IDS Number:
DM3AH

Unique ID: 
WOS:000376218700003

PubMed ID:
27040181

Cited References: 
Choudhri Asim F., 2015, RADIOGRAPHICS, V35, P736
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Title:
The correlation among Y-index and other scientometric indicators

Authors:
Shekofteh, M; Mohseny, M; Shahbodaghi, A; Zayeri, F; Rahimi, F

Author Full Names:
Shekofteh, Maryam; Mohseny, Maryam; Shahbodaghi, Azam; Zayeri, Farid;
Rahimi, Forough

Source:
CURRENT SCIENCE, 110 (9):1823-1828; 10.18520/cs/v110/i9/1823-1828 MAY 10 2016 

Language:
English

Document Type:
Article

Author Keywords:
Average citations, h-index, Iran, medical universities, scientific publications, Y-index

KeyWords Plus:
SCIENCE-CITATION-INDEX; TOP-CITED ARTICLES; SCIENTIFIC COLLABORATION; BIBLIOMETRIC ANALYSIS; PERFORMANCE; UNIVERSITIES; PUBLICATIONS; AUTHORSHIP; QUALITY; CHINA

Abstract: 
Scientometric analysis of research outputs is important in universities
for research evaluation as it provides necessary inputs for decision
makers. Common scientometric indicators are the number of publications,
average citation per document, h-index and the number of authors.
Y-index is also an indicator considering both the quantity and quality
of scientific products, based on first author and corresponding author
publications. This study aims at determining these indicators in
first-grade universities of medical sciences in Iran and investigating
the correlation among Y-index and other mentioned indices, and
comparison between Y-index and h-index. The population under study
comprised of all scientific productions of fourteen top universities of
medical sciences in Iran, indexed in Web of Science in 2012 (7435
documents). The Tehran University of Medical Sciences is ranked first
considering five indicators under investigation. A significant positive
relationship was obtained among Y-index with the number of publications,
the number of authors, and h-index. This indicates that Y-index can be a
potential proper index, for qualitative and quantitative evaluation of
universities along with other scientific and research institutions.

Reprint Address:
Shekofteh, M (reprint author), Shahid Beheshti Univ Med Sci, Fac Paramed Sci, Dept Med Lib & Informat Sci, Tehran, Iran.

Addresses:
[Shekofteh, Maryam; Mohseny, Maryam; Shahbodaghi, Azam; Zayeri, Farid; Rahimi, Forough] Shahid Beheshti Univ Med Sci, Fac Paramed Sci, Dept Med Lib & Informat Sci, Tehran, Iran. 

E-mail Addresses:
shekofteh_m at yahoo.com

Cited Reference Count:
36

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:
DM1FJ

Unique ID: 
WOS:000376090500038

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Title:
INTEGRATION OF LINK AND SEMANTIC RELATIONS FOR INFORMATION RECOMMENDATION

Authors:
Zhao, Q; He, Y; Jiang, CJ; Wang, PW; Qi, M; Li, MZ

Author Full Names:
Zhao, Qin; He, Yuan; Jiang, Changjun; Wang, Pengwei; Qi, Man; Li,
Maozhen

Source:
COMPUTING AND INFORMATICS, 35 (1):30-54; 2016 

Language:
English

Document Type:
Article

Author Keywords:
Information retrieval, data mining, link similarity, information recommendation

KeyWords Plus:
MATHEMATICAL-THEORY; WEB; COMMUNICATION

Abstract: 
Information services on the Internet are being used as an important tool
to facilitate discovery of the information that is of user interests.
Many approaches have been proposed to discover the information on the
Internet, while the search engines are the most common ones. However,
most of the current approaches of information discovery can discover the
keyword-matching information only but cannot recommend the most recent
and relative information to users automatically. Sometimes users can
give only a fuzzy keyword instead of an accurate one. Thus, some desired
information would be ignored by the search engines. Moreover, the
current search engines cannot discover the latent but logically relevant
information or services for users. This paper measures the
semantic-similarity and link-similarity between keywords. Based on that,
it introduces the concept of similarity of web pages, and presents a
method for information recommendation. The experimental evaluation and
comparisons with the existing studies are finally performed.

Reprint Address:
Zhao, Q (reprint author), Tongji Univ, Key Lab Embedded Syst & Serv Comp, Minist Educ, Shanghai 200092, Peoples R China.Wang, PW (reprint author), Donghua Univ, Sch Comp Sci & Technol, Shanghai 200051, Peoples R China.Qi, M (reprint author), Canterbury Christ Church Univ, Dept Comp, Canterbury CT1 1QU, Kent, England.Li, MZ (reprint author), Brunel Univ, Dept Elect & Comp Engn, Uxbridge UB8 3PH, Middx, England.

Addresses:
[Zhao, Qin; He, Yuan; Jiang, Changjun] Tongji Univ, Key Lab Embedded Syst & Serv Comp, Minist Educ, Shanghai 200092, Peoples R China. 
[Wang, Pengwei] Donghua Univ, Sch Comp Sci & Technol, Shanghai 200051, Peoples R China. 
[Qi, Man] Canterbury Christ Church Univ, Dept Comp, Canterbury CT1 1QU, Kent, England. 
[Li, Maozhen] Brunel Univ, Dept Elect & Comp Engn, Uxbridge UB8 3PH, Middx, England. 

E-mail Addresses:
2qzhao at tongji.edu.cn; pwei.wang at gmail.com; mq4 at canterbury.ac.uk; Maozhen.Li at brunel.ac.uk

Funding Acknowledgement:
Major Research Plan of the National Natural Science Foundation of China [91218301]; HongKong, Macao and Taiwan Science and Technology Cooperation Program of China [2013DFM10100]

Funding Text:
This work was supported by the Major Research Plan of the National Natural Science Foundation of China under Grant No. 91218301 and HongKong, Macao and Taiwan Science and Technology Cooperation Program of China under Grant No. 2013DFM10100.

Cited Reference Count:
26

Times Cited:
0

Publisher:
SLOVAK ACAD SCIENCES INST INFORMATICS, DUBRAVSKA CESTA 9, 84237 BRATISLAVA, SLOVAKIA

ISSN:
1335-9150

Web of Science Categories:
Computer Science, Artificial Intelligence

Research Areas:
Computer Science

IDS Number:
DL9NM

Unique ID: 
WOS:000375970000002

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*Order Full Text [ ]

Title:
Text mining and similarity search using extended tri-gram algorithm in the reference based local repository dataset

Authors:
Kumar, R; Tripathi, RC

Author Full Names:
Kumar, Ranjeet; Tripathi, R. C.

Edited by:
Snasel V; Alancar M; Jeloneck D; Salem AB; Valanderau L; Saleh Y; Kumar S; Theodoutou E

Source:
INTERNATIONAL CONFERENCE ON COMMUNICATIONS, MANAGEMENT, AND INFORMATION TECHNOLOGY (ICCMIT'2015), 65 911-919; 10.1016/j.procs.2015.09.062 2015 

Book Series:
Procedia Computer Science

Language:
English

Document Type:
Proceedings Paper

Conference Title:
International Conference on Communications, Management, and Information Technology (ICCMIT)

Conference Date:
APR 20-22, 2015

Conference Location:
Prague, CZECH REPUBLIC

Author Keywords:
Reference Search, Trigram Technique, Local Repository Search, Textual Similarity Search, Textual Plagiarism

KeyWords Plus:
LITERATURE SCIENCE; CITATION ANALYSIS

Abstract: 
In the emerging technological scenario world is becoming a digital hub
where data is easily accessible on the internet. Who take into
consideration the academic and research & development fields, the
digital resources become more important. Academic research and their
publications in current environment can be easily accessed through
internet. Easy availability of such result work attracts academic
literature dishonesty or plagiarism. Many of the research papers
published in the several Conference proceedings and Journals may have
some percentage of plagiarized contents. At the same time, the author(s)
may cite irrelated references in the research paper. In the present
research paper, a reference based extended trigram approach has been
report check the textual plagiarism of the text written in the research
papers. References form the pivotal part of any research paper
dissertation which defines the area of research and the state of the art
of the research based on which originality of contribution is adjudged.
The present article also discusses the behavior of the referencing in
three major research categories Research papers, Master Dissertations,
and the Doctoral Dissertations.

Reprint Address:
Kumar, R (reprint author), Indian Inst Informtat Technol, Allahabad, Uttar Pradesh, India.

Addresses:
[Kumar, Ranjeet; Tripathi, R. C.] Indian Inst Informtat Technol, Allahabad, Uttar Pradesh, India. 

E-mail Addresses:
ranjeet at iiita.ac.in

Cited Reference Count:
21

Times Cited:
0

Publisher:
ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS

ISSN:
1877-0509

Web of Science Categories:
Computer Science, Theory & Methods; Engineering, Electrical & Electronic

Research Areas:
Computer Science; Engineering

IDS Number:
BE6BU

Unique ID: 
WOS:000373831000103

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Title:
The scaling relationship between citation-based performance and international collaboration of Cuban articles in natural sciences

Authors:
Ronda-Pupo, GA; Katz, JS

Author Full Names:
Ronda-Pupo, Guillermo Armando; Katz, J. Sylvan

Source:
SCIENTOMETRICS, 107 (3):1423-1434; 10.1007/s11192-016-1939-9 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Fractal, Power-law, Scale independent, Self-similar, Science system

KeyWords Plus:
LAW; DISTRIBUTIONS; NETWORKS

Abstract: 
The aim of this paper is to extend our knowledge about the power-law
relationship between citation-based performance and collaboration
patterns for papers by analyzing its behavior at the level of a national
science system. We analyzed 3012 Cuban articles on Natural Sciences that
received 17,295 citations. The number of articles published through
collaboration accounted for 94 %. The collaborative articles accounted
for 96 % of overall citations. The citation-based performance and
international collaboration patterns exhibit a power-law correlation
with a scaling exponent of 1.22 +/- 0.08. Citations to a field's
research internationally collaborative articles in Natural Sciences
tended to increase 2.(1.22) or 2.33 times each time it doubles the
number of internationally collaborative papers. The Matthew Effect is
stronger for internationally collaborative papers than for domestic
collaborative articles.

Reprint Address:
Ronda-Pupo, GA (reprint author), Univ Catolica Norte, Dept Adm, Ave Angamos 0610, Antofagasta 1270709, Chile.Ronda-Pupo, GA (reprint author), Univ Holguin, Holguin, Cuba.

Addresses:
[Ronda-Pupo, Guillermo Armando] Univ Catolica Norte, Dept Adm, Ave Angamos 0610, Antofagasta 1270709, Chile. 
[Ronda-Pupo, Guillermo Armando] Univ Holguin, Holguin, 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:
rondapupo at yahoo.com; j.s.katz at sussex.ac.uk

Cited Reference Count:
26

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:
DM3VB

Unique ID: 
WOS:000376273700026

Cited References: 
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Title:
Back to the past: on the shoulders of an academic search engine giant

Authors:
Martin-Martin, A; Orduna-Malea, E; Ayllon, JM; Lopez-Cozar, ED

Author Full Names:
Martin-Martin, Alberto; Orduna-Malea, Enrique; Ayllon, Juan M.; Delgado
Lopez-Cozar, Emilio

Source:
SCIENTOMETRICS, 107 (3):1477-1487; 10.1007/s11192-016-1917-2 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Google Scholar, Journal Citation Reports, Growth of science, Science obsolescence, Half-life indicator, Academic search engines

KeyWords Plus:
GOOGLE SCHOLAR; HALF-LIFE; OBSOLESCENCE; GROWTH

Abstract: 
A study released by the Google Scholar team found an apparently
increasing fraction of citations to old articles from studies published
in the last 24 years (1990-2013). To demonstrate this finding we
conducted a complementary study using a different data source (Journal
Citation Reports), metric (aggregate cited half-life), time spam
(2003-2013), and set of categories (53 Social Science subject categories
and 167 Science subject categories). Although the results obtained
confirm and reinforce the previous findings, the possible causes of this
phenomenon keep unclear. We finally hypothesize that "first page results
syndrome" in conjunction with the fact that Google Scholar favours the
most cited documents are suggesting the growing trend of citing old
documents is partly caused by Google Scholar.

Reprint Address:
Lopez-Cozar, ED (reprint author), Univ Granada, Res Grp EC3, E-18071 Granada, Spain.

Addresses:
[Martin-Martin, Alberto; Ayllon, Juan M.; Delgado Lopez-Cozar, Emilio] Univ Granada, Res Grp EC3, E-18071 Granada, Spain. 
[Orduna-Malea, Enrique] Univ Politecn Valencia, Res Grp EC3, Camino Vera S-N, Valencia 46022, Spain. 

E-mail Addresses:
edelgado at ugr.es

Cited Reference Count:
21

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:
DM3VB

Unique ID: 
WOS:000376273700030

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Title:
The study of subject-classification based on journal coupling and expert subject-classification system

Authors:
Zhang, J; Liu, XM; Wu, LL

Author Full Names:
Zhang, Jing; Liu, Xiaomin; Wu, Lili

Source:
SCIENTOMETRICS, 107 (3):1149-1170; 10.1007/s11192-016-1890-9 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Subject-classification, Journal coupling, Cluster analysis, Text mining, Chinese library classification

KeyWords Plus:
SCIENTIFIC JOURNALS; INFORMATION-SCIENCE; COCITATION ANALYSIS; CITATION-REPORTS; CLUSTERS; TERMS; MAPS; SET

Abstract: 
As the framework of scientific research, subject-classification plays an
important role in the development of science. In order to combine the
development of science with the current expert subject-classification
system and further give a more appropriate description of scientific
output analysis from subject level, We study the relationship between
the natural science related sub-categories of Chinese library
classification using objective computerized scientometrics, and give
some modification to the first two level subjects of the existing
Chinese library classification system. Taking Chinese Science Citation
Database as our data source, this article studies the similarity of
subjects based on journal coupling strength. Then we try to set up an
improved subject-classification system whose top categories are relied
on Chinese library classification system and sub-categories are the
ensemble clustering result based on journal coupling measure. Further,
in order to help identifying and interpreting the rationality of this
improved classification system, we make use of some text mining methods,
such as key words recognition and topic detection, to explain the cause
of similarity between some subjects from the perspective of semantic.
Our study shows that the improved subject-classification system
constructed in this article not only conforms to previous experience and
cognitive but also combines subject development knowledge.

Reprint Address:
Zhang, J (reprint author), Chinese Acad Sci, Natl Sci Lib, 33 West Rd,North 4th Ring Rd, Beijing 100190, Peoples R China.

Addresses:
[Zhang, Jing; Liu, Xiaomin; Wu, Lili] Chinese Acad Sci, Natl Sci Lib, 33 West Rd,North 4th Ring Rd, Beijing 100190, Peoples R China. 

E-mail Addresses:
xieyun-xieyun at 163.com

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:
DM3VB

Unique ID: 
WOS:000376273700012

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Title:
Disciplinary, National, and Departmental Contributions to the Literature of Library and Information Science, 2007-2012

Authors:
Walters, WH; Wilder, EI

Author Full Names:
Walters, William H.; Wilder, Esther Isabelle

Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 67 (6):1487-1506; 10.1002/asi.23448 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
information science, journals, interdisciplinarity

KeyWords Plus:
ASSESSING PUBLICATION IMPACT; US ACADEMIC LIBRARIANS; LIS JOURNALS; RESEARCH PRODUCTIVITY; SCHOLARLY PRODUCTIVITY; COCITATION ANALYSIS; PERCEIVED QUALITY; FACULTY; CITATION; PATTERNS

Abstract: 
We investigate the contributions of particular disciplines, countries,
and academic departments to the literature of library and information
science (LIS) using data for the articles published in 31 journals from
2007 to 2012. In particular, we examine the contributions of authors
outside the United States, the United Kingdom, and Canada; faculty in
departments other than LIS; and practicing librarians. Worldwide,
faculty in LIS departments account for 31% of the journal literature;
librarians, 23%; computer science faculty, 10%; and management faculty,
10%. The top contributing nations are the United States, the United
Kingdom, Spain, China, Canada, and Taiwan. Within the United States and
the United Kingdom, the current productivity of LIS departments is
correlated with past productivity and with other measures of reputation
and performance. More generally, the distribution of contributions is
highly skewed. In the United States, five departments account for 27% of
the articles contributed by LIS faculty; in the United Kingdom, four
departments account for nearly two-thirds of the articles. This skewed
distribution reinforces the possibility that high-status departments may
gain a permanent advantage in the competition for students, faculty,
journal space, and research funding. At the same time, concentrations of
research-active faculty in particular departments may generate
beneficial spillover effects.

Reprint Address:
Walters, WH (reprint author), Manhattan Coll, Mary Alice & Tom OMalley Lib, 4513 Manhattan Coll Pkwy, Riverdale, NY 10471 USA.Wilder, EI (reprint author), CUNY Herbert H Lehman Coll, Dept Sociol, 250 Bedford Pk Blvd West, Bronx, NY 10468 USA.

Addresses:
[Walters, William H.] Manhattan Coll, Mary Alice & Tom OMalley Lib, 4513 Manhattan Coll Pkwy, Riverdale, NY 10471 USA. 
[Wilder, Esther Isabelle] CUNY Herbert H Lehman Coll, Dept Sociol, 250 Bedford Pk Blvd West, Bronx, NY 10468 USA. 

E-mail Addresses:
william.walters at manhattan.edu; ewilder at gc.cuny.edu

Cited Reference Count:
88

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:
DM3RM

Unique ID: 
WOS:000376264000015

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Title:
Measures of scholarly journal quality are not universally applicable to determining value of advertised annual subscription price

Authors:
Shideler, GS; Araujo, RJ

Author Full Names:
Shideler, Geoffrey S.; Araujo, Rafael J.

Source:
SCIENTOMETRICS, 107 (3):963-973; 10.1007/s11192-016-1943-0 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Journal pricing, Journal metrics, Impact factor, Eigenfactor, Total cites

KeyWords Plus:
IMPACT FACTORS

Abstract: 
Both end users and authors commonly evaluate scientific journals based
on several popular journal metrics. Such metrics, in particular the
"impact factor," carry crucial weight in terms of which journals authors
choose for submitting scientific works as well as to what titles an
institutional library subscribes. While previous research has focused on
the value of journals in terms of "price per page," no study has
investigated the relationship between common journal metrics and the
price a journal advertises for an annual subscription. In the present
study, we took a linear modeling approach using Akaike information
criterion to determine which journal metric (impact factor, Eigenfactor
score, article influence score, total cites, or proportion reviews) was
the "best" predictor of the advertised annual subscription price for
scientific journals. Examining three differing scientific fields
(aquatic science, sociology, and immunology) and accounting for
for-profit versus not-for-profit status, we found results to be
field-dependent. Total cites was the best predicting metric for the
annual advertised subscription price for aquatic science and immunology,
while the Eigenfactor score was the best predictor for sociology. We
hypothesize the relationship with price changes with differing
magnitudes of citation flows in a field. Clear from our study was that
no single measure of journal quality is universally applicable to
determine subscription "value.".

Reprint Address:
Shideler, GS (reprint author), Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.

Addresses:
[Shideler, Geoffrey S.; Araujo, Rafael J.] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA. 

E-mail Addresses:
geoffreyshideler at gmail.com

Cited Reference Count:
22

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:
DM3VB

Unique ID: 
WOS:000376273700004

Cited References: 
Bergstrom Theodore C., 2014, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V111, P9425
Bergstrom C. T., 2008, Assessing citations with the Eigenfactor, P1850
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Title:
Organizational ambidexterity: exploring the knowledge base

Authors:
Garcia-Lillo, F; Ubeda-Garcia, M; Marco-Lajara, B

Author Full Names:
Garcia-Lillo, Francisco; Ubeda-Garcia, Mercedes; Marco-Lajara, Bartolome

Source:
SCIENTOMETRICS, 107 (3):1021-1040; 10.1007/s11192-016-1897-2 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Organizational ambidexterity, Organization theory, Exploration, Exploitation, Bibliometrics, Citation analysis, Author co-citation analysis (ACA)

KeyWords Plus:
AUTHOR COCITATION ANALYSIS; DYNAMIC CAPABILITIES; ABSORPTIVE-CAPACITY; PRODUCT DEVELOPMENT; BALANCING EXPLORATION; MODERATING ROLE; INTELLECTUAL STRUCTURE; SIMILARITY MEASURES; MARKET ORIENTATION; PROCESS MANAGEMENT

Abstract: 
The present research work shows the results of an analysis about the
existing literature on one of the 'topics' which is currently raising
greater interest among scholars and researchers in the fields of
strategic management and organization science, namely: organizational
ambidexterity. More precisely, and seeking to identify and visualize the
intellectual structure or knowledge base of the research developed in
relation to this construct, a decision was made to analyze a total of
283 research papers which appeared after the publication in the journal
California Management Review in the summer of 1996 of the seminal work
by Tushman and O'Reilly III entitled 'Ambidextrous Organizations:
Managing Evolutionary and Revolutionary Change,' where these authors
suggested that organizations need to explore and exploit simultaneously
if they want to be ambidextrous. As for the methodology applied, it was
based on the utilization of bibliometric techniques-particularly
citation analyses and author co-citation analyses and social networks
analysis.

Reprint Address:
Garcia-Lillo, F (reprint author), Univ Alicante, Dept Management, POB 99, E-03080 Alicante, Spain.

Addresses:
[Garcia-Lillo, Francisco; Ubeda-Garcia, Mercedes; Marco-Lajara, Bartolome] Univ Alicante, Dept Management, POB 99, E-03080 Alicante, Spain. 

E-mail Addresses:
f.garcia at ua.es

Cited Reference Count:
135

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:
DM3VB

Unique ID: 
WOS:000376273700007

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Title:
Identifying key papers within a journal via network centrality measures

Authors:
Diallo, SY; Lynch, CJ; Gore, R; Padilla, JJ

Author Full Names:
Diallo, Saikou Y.; Lynch, Christopher J.; Gore, Ross; Padilla, Jose J.

Source:
SCIENTOMETRICS, 107 (3):1005-1020; 10.1007/s11192-016-1891-8 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Paper filtering, Article-level metrics, Network centrality analysis

KeyWords Plus:
SCIENTIFIC PAPERS; CITATION; BETWEENNESS

Abstract: 
This article examines the extent to which existing network centrality
measures can be used (1) as filters to identify a set of papers to start
reading within a journal and (2) as article-level metrics to identify
the relative importance of a paper within a journal. We represent a
dataset of published papers in the Public Library of Science (PLOS) via
a co-citation network and compute three established centrality metrics
for each paper in the network: closeness, betweenness, and eigenvector.
Our results show that the network of papers in a journal is scale-free
and that eigenvector centrality (1) is an effective filter and
article-level metric and (2) correlates well with citation counts within
a given journal. However, closeness centrality is a poor filter because
articles fit within a small range of citations. We also show that
betweenness centrality is a poor filter for journals with a narrow focus
and a good filter for multidisciplinary journals where communities of
papers can be identified.

Reprint Address:
Lynch, CJ (reprint author), Old Dominion Univ, Virginia Modeling Anal & Simulat Ctr, 1030 Univ Blvd, Suffolk, VA 23435 USA.

Addresses:
[Diallo, Saikou Y.; Lynch, Christopher J.; Gore, Ross; Padilla, Jose J.] Old Dominion Univ, Virginia Modeling Anal & Simulat Ctr, 1030 Univ Blvd, Suffolk, VA 23435 USA. 

E-mail Addresses:
cjlynch at odu.edu

Cited Reference Count:
39

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:
DM3VB

Unique ID: 
WOS:000376273700006

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========================================================================

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*Order Full Text [ ]

Title:
Collaboration network of knowledge creation and dissemination on Management research: ranking the leading institutions

Authors:
Ronda-Pupo, GA; Guerras-Martin, LA

Author Full Names:
Armando Ronda-Pupo, Guillermo; Angel Guerras-Martin, Luis

Source:
SCIENTOMETRICS, 107 (3):917-939; 10.1007/s11192-016-1924-3 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Academic collaboration, Business schools rankings, Research institutions, Science indicators, University policy

KeyWords Plus:
JOURNAL SELF-CITATIONS; SCIENCE SYSTEM; CO-AUTHORSHIP; ECONOMICS DEPARTMENTS; STRATEGIC MANAGEMENT; SCALING RULES; IMPACT FACTOR; BUSINESS; COOPERATION; FIELD

Abstract: 
The aim of this paper is to measure the relevance of the institutions in
the academic community involved in creating and disseminating knowledge
in the field of Management through their position in the collaboration
network. This relevance is defined by an original and more comprehensive
approach to the analysis of each institution's importance through degree
centrality, as it includes scientific output, while at the same time
taking into account the level of collaboration between institutions, as
well as the impact of the publications in which each institution is
involved. This approach enables us to draw up a ranking of the 103
leading institutions, as well as overcome some of the limitations of
prior studies by considering the role each institution plays in the
academic community, not only through its scientific output or citations
but also through the relationships it forges with other institutions.
Our findings confirm the existence of elite groups worldwide that
collaborate with other minor institutions, whereas major institutions
collaborate less with each other.

Reprint Address:
Guerras-Martin, LA (reprint author), Univ Rey Juan Carlos, Fac Ciencias Jurid & Sociales, Paseo Artilleros S-N, Madrid 28032, Spain.

Addresses:
[Armando Ronda-Pupo, Guillermo] Univ Catolica Norte, Dept Adm, Antofagasta, Chile. 
[Armando Ronda-Pupo, Guillermo] Univ Holguin, Holguin, Cuba. 
[Angel Guerras-Martin, Luis] Univ Rey Juan Carlos, Fac Ciencias Jurid & Sociales, Paseo Artilleros S-N, Madrid 28032, Spain. 

E-mail Addresses:
luisangel.guerras at urjc.es

Funding Acknowledgement:
Spanish Ministry of Economy and Competitiveness (Spain) [ECO2012-36775, ECO2015-67434-R]; Universidad Catolica del Norte (Chile) [40101001]

Funding Text:
This paper has been supported by Projects ECO2012-36775 and ECO2015-67434-R of Spanish Ministry of Economy and Competitiveness (Spain) and Project 40101001 of the Universidad Catolica del Norte (Chile).

Cited Reference Count:
64

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:
DM3VB

Unique ID: 
WOS:000376273700002

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========================================================================
 
 Search terms matched: BIBLIOMETRIC(1)
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*Order Full Text [ ]

Title:
Virtual and remote labs in education: A *bibliometric* analysis

Authors:
Heradio, R; de la Torre, L; Galan, D; Cabrerizo, FJ; Herrera-Viedma, E;
Dormido, S

Author Full Names:
Heradio, Ruben; de la Torre, Luis; Galan, Daniel; Javier Cabrerizo,
Francisco; Herrera-Viedma, Enrique; Dormido, Sebastian

Source:
COMPUTERS & EDUCATION, 98 14-38; 10.1016/j.compedu.2016.03.010 JUL 2016 

Language:
English

Document Type:
Article

Author Keywords:
Virtual laboratory, Remote laboratory, Web-based experimentation, Bibliometrics, Science mapping

KeyWords Plus:
CONTROL ENGINEERING-EDUCATION; ELEMENTARY-SCHOOL STUDENTS; WEB-BASED EXPERIMENTATION; CO-WORD ANALYSIS; LABORATORY EXPERIMENTS; AUTOMATIC-CONTROL; UNDERGRADUATE STUDENTS; AUGMENTED REALITY; UNIT OPERATIONS; H-INDEX

Abstract: 
Laboratory experimentation plays an essential role in engineering and
scientific education. Virtual and remote labs reduce the costs
associated with conventional hands-on labs due to their required
equipment, space, and maintenance staff. Furthermore, they provide
additional benefits such as supporting distance learning, improving lab
accessibility to handicapped people, and increasing safety for dangerous
experimentation. This paper analyzes the literature on virtual and
remote labs from its beginnings to 2015, identifying the most
influential publications, the most researched topics, and how the
interest in those topics has evolved along the way. To do so,
bibliographical data gathered from ISI Web of Science, Scopus and
GRC2014 have been examined using two prominent bibliometric approaches:
science mapping and performance analysis. (C) 2016 Elsevier Ltd. All
rights reserved.

Reprint Address:
Heradio, R (reprint author), Univ Nacl Educ Distancia, Dept Ingn Software & Sistemas Informat, E-28040 Madrid, Spain.

Addresses:
[Heradio, Ruben; Javier Cabrerizo, Francisco] Univ Nacl Educ Distancia, Dept Ingn Software & Sistemas Informat, E-28040 Madrid, Spain. 
[de la Torre, Luis; Galan, Daniel; Dormido, Sebastian] Univ Nacl Educ Distancia, Dept Informat & Automat, E-28040 Madrid, Spain. 
[Herrera-Viedma, Enrique] Univ Granada, Dept Ciencias Comp & Inteligencia Artificial, E-18071 Granada, Spain. 

E-mail Addresses:
rheradio at issi.uned.es

Funding Acknowledgement:
Spanish Ministry of Economy and Competitiveness [DPI2012-31303]; FEDER [TIN2013-40658-P]; Andalusian Excellence Project [TIC-5991]

Funding Text:
This work has been supported by Project DPI2012-31303 (financed by the Spanish Ministry of Economy and Competitiveness), Project TIN2013-40658-P (financed by FEDER), and the Andalusian Excellence Project TIC-5991.

Cited Reference Count:
189

Times Cited:
0

Publisher:
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

ISSN:
0360-1315

eISSN:
1873-782X

Web of Science Categories:
Computer Science, Interdisciplinary Applications; Education & Educational Research

Research Areas:
Computer Science; Education & Educational Research

IDS Number:
DM2YB

Unique ID: 
WOS:000376212900002

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Search terms matched: CITATION(1)
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Title:
The scaling relationship between *citation*-based performance and international collaboration of Cuban articles in natural sciences

Authors:
Ronda-Pupo, GA; Katz, JS

Author Full Names:
Ronda-Pupo, Guillermo Armando; Katz, J. Sylvan

Source:
SCIENTOMETRICS, 107 (3):1423-1434; 10.1007/s11192-016-1939-9 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Fractal, Power-law, Scale independent, Self-similar, Science system

KeyWords Plus:
LAW; DISTRIBUTIONS; NETWORKS

Abstract: 
The aim of this paper is to extend our knowledge about the power-law
relationship between citation-based performance and collaboration
patterns for papers by analyzing its behavior at the level of a national
science system. We analyzed 3012 Cuban articles on Natural Sciences that
received 17,295 citations. The number of articles published through
collaboration accounted for 94 %. The collaborative articles accounted
for 96 % of overall citations. The citation-based performance and
international collaboration patterns exhibit a power-law correlation
with a scaling exponent of 1.22 +/- 0.08. Citations to a field's
research internationally collaborative articles in Natural Sciences
tended to increase 2.(1.22) or 2.33 times each time it doubles the
number of internationally collaborative papers. The Matthew Effect is
stronger for internationally collaborative papers than for domestic
collaborative articles.

Reprint Address:
Ronda-Pupo, GA (reprint author), Univ Catolica Norte, Dept Adm, Ave Angamos 0610, Antofagasta 1270709, Chile.Ronda-Pupo, GA (reprint author), Univ Holguin, Holguin, Cuba.

Addresses:
[Ronda-Pupo, Guillermo Armando] Univ Catolica Norte, Dept Adm, Ave Angamos 0610, Antofagasta 1270709, Chile. 
[Ronda-Pupo, Guillermo Armando] Univ Holguin, Holguin, 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:
rondapupo at yahoo.com; j.s.katz at sussex.ac.uk

Cited Reference Count:
26

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:
DM3VB

Unique ID: 
WOS:000376273700026

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========================================================================

. Search terms matched: CITATION(1); CITATIONS(1)
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Title:
Recognition of emerging technology trends: class-selective study of *citations* in the US Patent *Citation* Network

Authors:
Bruck, P; Rethy, I; Szente, J; Tobochnik, J; Erdi, P

Author Full Names:
Bruck, Peter; Rethy, Istvan; Szente, Judit; Tobochnik, Jan; Erdi, Peter

Source:
SCIENTOMETRICS, 107 (3):1465-1475; 10.1007/s11192-016-1899-0 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
PageRank, Patents, Trend recognition, Damping factor

KeyWords Plus:
INNOVATION; PAGERANK; SEARCH; SYSTEM

Abstract: 
By adopting a citation-based recursive ranking method for patents the
evolution of new fields of technology can be traced. Specifically, it is
demonstrated that the laser/inkjet printer technology emerged from the
recombination of two existing technologies: sequential printing and
static image production. The dynamics of the citations coming from the
different "precursor" classes illuminates the mechanism of the emergence
of new fields and give the possibility to make predictions about future
technological development. For the patent network the optimal value of
the PageRank damping factor is close to 0.5; the application of d = 0.85
leads to unacceptable ranking results.

Reprint Address:
Erdi, P (reprint author), Kalamazoo Coll, Ctr Complex Syst Studies, 1200 Acad St, Kalamazoo, MI 49006 USA.Erdi, P (reprint author), Hungarian Acad Sci, Wigner Res Ctr Phys, Computat Neurosci Grp, Budapest, Hungary.

Addresses:
[Bruck, Peter] ProcessExpert Ltd, Budapest, Hungary. 
[Rethy, Istvan] Gobinfo Ltd, Budapest, Hungary. 
[Szente, Judit] Univ Michigan, Climate & Space Sci & Engn Dept, Ann Arbor, MI 48109 USA. 
[Tobochnik, Jan] Kalamazoo Coll, Dept Phys, Kalamazoo, MI 49006 USA. 
[Tobochnik, Jan] Kalamazoo Coll, Dept Comp Sci, Kalamazoo, MI 49006 USA. 
[Erdi, Peter] Kalamazoo Coll, Ctr Complex Syst Studies, 1200 Acad St, Kalamazoo, MI 49006 USA. 
[Erdi, Peter] Hungarian Acad Sci, Wigner Res Ctr Phys, Computat Neurosci Grp, Budapest, Hungary. 

E-mail Addresses:
perdi at kzoo.edu

Funding Acknowledgement:
Henry Luce Foundation; Herbert H. and Grace A. Dow Foundation

Funding Text:
The authors benefited from discussions with colleagues and students both in Budapest and Kalamazoo. Special thanks to Gabor Csardi, Janos Toth and Peter Volf for commenting previous versions of the manuscript. PE thanks the Henry Luce Foundation for support of Complex Systems Studies as Henry R Luce Professor. JT thanks the Herbert H. and Grace A. Dow Foundation for support as the Dow Distinguished Professor of the Natural Sciences.

Cited Reference Count:
30

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:
DM3VB

Unique ID: 
WOS:000376273700029

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Title:
The study of subject-classification based on journal coupling and expert subject-classification system

Authors:
Zhang, J; Liu, XM; Wu, LL

Author Full Names:
Zhang, Jing; Liu, Xiaomin; Wu, Lili

Source:
SCIENTOMETRICS, 107 (3):1149-1170; 10.1007/s11192-016-1890-9 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Subject-classification, Journal coupling, Cluster analysis, Text mining, Chinese library classification

KeyWords Plus:
SCIENTIFIC JOURNALS; INFORMATION-SCIENCE; COCITATION ANALYSIS; CITATION-REPORTS; CLUSTERS; TERMS; MAPS; SET

Abstract: 
As the framework of scientific research, subject-classification plays an
important role in the development of science. In order to combine the
development of science with the current expert subject-classification
system and further give a more appropriate description of scientific
output analysis from subject level, We study the relationship between
the natural science related sub-categories of Chinese library
classification using objective computerized scientometrics, and give
some modification to the first two level subjects of the existing
Chinese library classification system. Taking Chinese Science Citation
Database as our data source, this article studies the similarity of
subjects based on journal coupling strength. Then we try to set up an
improved subject-classification system whose top categories are relied
on Chinese library classification system and sub-categories are the
ensemble clustering result based on journal coupling measure. Further,
in order to help identifying and interpreting the rationality of this
improved classification system, we make use of some text mining methods,
such as key words recognition and topic detection, to explain the cause
of similarity between some subjects from the perspective of semantic.
Our study shows that the improved subject-classification system
constructed in this article not only conforms to previous experience and
cognitive but also combines subject development knowledge.

Reprint Address:
Zhang, J (reprint author), Chinese Acad Sci, Natl Sci Lib, 33 West Rd,North 4th Ring Rd, Beijing 100190, Peoples R China.

Addresses:
[Zhang, Jing; Liu, Xiaomin; Wu, Lili] Chinese Acad Sci, Natl Sci Lib, 33 West Rd,North 4th Ring Rd, Beijing 100190, Peoples R China. 

E-mail Addresses:
xieyun-xieyun at 163.com

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:
DM3VB

Unique ID: 
WOS:000376273700012

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========================================================================
. Search terms matched: CITATIONS(1)
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Title:
What makes a 'good' title and (how) does it matter for *citations*? A review and general model of article title attributes in management science

Authors:
Nair, LB; Gibbert, M

Author Full Names:
Nair, Lakshmi Balachandran; Gibbert, Michael

Source:
SCIENTOMETRICS, 107 (3):1331-1359; 10.1007/s11192-016-1937-y JUN 2016 

Language:
English

Document Type:
Review

Author Keywords:
Article title, Citation count, Scholarly impact, Title attributes, Management

KeyWords Plus:
BIOMEDICAL JOURNALS; SCIENTIFIC JOURNALS; IMPACT; COLONS; DETERMINANTS; PERSPECTIVE; PERFORMANCE; PSYCHOLOGY; DOWNLOADS; RANKINGS

Abstract: 
What makes a "good" title for an article, i.e. one which might attract
citations in the academic community? Answers to this question are
manifold, though inconclusive across disciplines. In an attempt to
provide cohesion, we integrate significant title characteristics from
previous studies across disciplines into a comprehensive model and link
it with citation count. Keeping the application context constant, we
focus on management science and find that only non-alpha numeric
characters and a balanced title structure have small, but significant
effects on citation count. Surprisingly, attributes which tended to show
significant effects in other disciplines (though often in opposite
directions), such as length, context, and linguistic attributes
exhibited no relationship with citation count.

Reprint Address:
Nair, LB (reprint author), Univ Svizzera Italiana, Fac Sci Comunicaz, Lugano, Switzerland.

Addresses:
[Nair, Lakshmi Balachandran; Gibbert, Michael] Univ Svizzera Italiana, Fac Sci Comunicaz, Lugano, Switzerland. 

E-mail Addresses:
lakshmi.balachandran.nair at usi.ch; michael.gibbert at usi.ch

Cited Reference Count:
55

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:
DM3VB

Unique ID: 
WOS:000376273700021

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Title:
Tracing the indirect societal impacts of biomedical research: development and piloting of a technique based on *citations*

Authors:
Jones, TH; Hanney, S

Author Full Names:
Jones, Teresa H.; Hanney, Steve

Source:
SCIENTOMETRICS, 107 (3):975-1003; 10.1007/s11192-016-1895-4 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Citation categorisation, Societal impacts of research, Qualitative analysis, Citation generations, Research assessment

KeyWords Plus:
JOURNAL ARTICLES; HEALTH RESEARCH; CLINICAL GUIDELINES; MEDICAL-RESEARCH; FUNDED RESEARCH; PSYCHOLOGY; MANAGEMENT; BEHAVIOR; OUTCOMES; PAYBACK

Abstract: 
There is growing interest in assessing the societal impacts of research
such as informing health policies and clinical practice, and
contributing to improved health. Bibliometric approaches have long been
used to assess knowledge outputs, but can they also help evaluate
societal impacts? We aimed to see how far the societal impacts could be
traced by identifying key research articles in the
psychiatry/neuroscience area and exploring their societal impact through
analysing several generations of citing papers. Informed by a literature
review of citation categorisation, we developed a prototype template to
qualitatively assess a reference's importance to the citing paper and
tested it on 96 papers. We refined the template for a pilot study to
assess the importance of citations, including self-cites, to four key
research articles. We then similarly assessed citations to those citing
papers for which the key article was Central i.e. it was very important
to the message of the citing article. We applied a filter of three or
more citation occasions in order to focus on the citing articles where
the reference was most likely to be Central. We found the reference was
Central for 4.4 % of citing research articles overall and ten times more
frequently if the article contained three or more citation occasions. We
created a citation stream of influence for each key paper across up to
five generations of citations. We searched the Web of Science for
citations to all Central papers and identified societal impacts,
including international clinical guidelines citing papers across the
generations.

Reprint Address:
Jones, TH (reprint author), Brunel Univ, Hlth Econ Res Grp, Uxbridge UB8 3PH, Middx, England.

Addresses:
[Jones, Teresa H.; Hanney, Steve] Brunel Univ, Hlth Econ Res Grp, Uxbridge UB8 3PH, Middx, England. 

E-mail Addresses:
teresa.jones at brunel.ac.uk

Funding Acknowledgement:
Medical Research Council, MRC-NIHR Methodology Research Programme

Funding Text:
This project was funded by the Medical Research Council as part of the MRC-NIHR Methodology Research Programme. The authors would like to extend their gratitude to: Professor Martin Buxton for his constructive comments throughout the project; to Professor Tom Burns, Dr. Jon Cooper, Dr. Claire Donovan, Dr. Chris Henshall, Professor Peter Jones and Dr. Amy Pooler for their expert guidance; all authors of the chosen key articles for their comments; all postgraduate assessors for their input in the assessment phase of the project and to Esther Nagy for her assistance throughout the project.

Cited Reference Count:
51

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:
DM3VB

Unique ID: 
WOS:000376273700005

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*Record 21 of 75. Search terms matched: IMPACT FACTOR(3)
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Title:
Measures of scholarly journal quality are not universally applicable to determining value of advertised annual subscription price

Authors:
Shideler, GS; Araujo, RJ

Author Full Names:
Shideler, Geoffrey S.; Araujo, Rafael J.

Source:
SCIENTOMETRICS, 107 (3):963-973; 10.1007/s11192-016-1943-0 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Journal pricing, Journal metrics, Impact factor, Eigenfactor, Total cites

KeyWords Plus:
IMPACT FACTORS

Abstract: 
Both end users and authors commonly evaluate scientific journals based
on several popular journal metrics. Such metrics, in particular the
"*impact factor*," carry crucial weight in terms of which journals
authors choose for submitting scientific works as well as to what titles
an institutional library subscribes. While previous research has focused
on the value of journals in terms of "price per page," no study has
investigated the relationship between common journal metrics and the
price a journal advertises for an annual subscription. In the present
study, we took a linear modeling approach using Akaike information
criterion to determine which journal metric (*impact factor*,
Eigenfactor score, article influence score, total cites, or proportion
reviews) was the "best" predictor of the advertised annual subscription
price for scientific journals. Examining three differing scientific
fields (aquatic science, sociology, and immunology) and accounting for
for-profit versus not-for-profit status, we found results to be
field-dependent. Total cites was the best predicting metric for the
annual advertised subscription price for aquatic science and immunology,
while the Eigenfactor score was the best predictor for sociology. We
hypothesize the relationship with price changes with differing
magnitudes of citation flows in a field. Clear from our study was that
no single measure of journal quality is universally applicable to
determine subscription "value.".

Reprint Address:
Shideler, GS (reprint author), Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA.

Addresses:
[Shideler, Geoffrey S.; Araujo, Rafael J.] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, 4600 Rickenbacker Causeway, Miami, FL 33149 USA. 

E-mail Addresses:
geoffreyshideler at gmail.com

Cited Reference Count:
22

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:
DM3VB

Unique ID: 
WOS:000376273700004

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*Record 22 of 75. Search terms matched: CITED(1)
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Title:
The correlation between editorial delay and the ratio of highly *cited* papers in Nature, Science and Physical Review Letters

Authors:
Lin, ZQ; Hou, SC; Wu, JS

Author Full Names:
Lin, Zhenquan; Hou, Shanci; Wu, Jinshan

Source:
SCIENTOMETRICS, 107 (3):1457-1464; 10.1007/s11192-016-1936-z JUN 2016 

Language:
English

Document Type:
Review

Author Keywords:
Editorial delay, Received citations, Highly cited papers

Abstract: 
Ideally, in a reviewing process, it is generally easier for referees to
make faster and more reliable decisions for high quality papers, which
ideally and on average will later attract more citations. Therefore, it
is possible that the editorial delay time-the time between dates of
submission and acceptance or publication-is correlated to the number of
received citations, as has been weakly confirmed by previous studies. In
this study, we propose a different measure for this correlation. Instead
of directly calculating the correlation coefficient between the
editorial delay and the number of citations, we define a ratio of above
median highly cited papers and perform correlation analysis between
editorial delay and that ratio for all academic papers published in
Nature, Science and Physical Review Letters. Using this alternative
measure, we find that on average papers with shorter editorial delay do
have larger probabilities of becoming highly cited papers.

Reprint Address:
Lin, ZQ (reprint author), Wenzhou Univ, Dept Phys, Wenzhou 325035, Peoples R China.

Addresses:
[Lin, Zhenquan; Hou, Shanci] Wenzhou Univ, Dept Phys, Wenzhou 325035, Peoples R China. 
[Wu, Jinshan] Beijing Normal Univ, Sch Syst Sci, Beijing 100875, Peoples R China. 

E-mail Addresses:
zqlin at wzu.edu.cn

Funding Acknowledgement:
NSFC [61374175, 10875086]

Funding Text:
This work was supported by NSFC under Grant Nos. 61374175 and 10875086. We are very grateful to the reviewers for helpful suggestions.

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:
DM3VB

Unique ID: 
WOS:000376273700028

Cited References: 
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De Bellis N., 2009, Bibliometrics and citation analysis: From the Science Citation Index to cybermetrics, 

========================================================================

*Record 23 of 75. Search terms matched: IMPACT FACTOR(3); JOURNALS(1)
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Title:
The *Impact Factor* of Radiological *Journals*: Associations with Journal Content and Other Characteristics Over a Recent 12-Year Period

Authors:
Rosenkrantz, AB; Ayoola, A

Author Full Names:
Rosenkrantz, Andrew B.; Ayoola, Abimbola

Source:
ACADEMIC RADIOLOGY, 23 (6):661-668; 10.1016/j.acra.2015.12.026 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
biomedical journals, impact factor, radiology, publication

KeyWords Plus:
PUBLICATION; SUBMISSION; TRENDS

Abstract: 
Rationale and Objectives: The aim of this study was to evaluate the
trends in the *impact factor* (IF) of radiological journals over a
recent 12-year period, including associations between IF and journal
topic.
Materials and Methods: Journal Citation Reports (JCR) was used to
identify all biomedical journals and all radiological journals (assigned
a JCR category of "Radiology, Nuclear Medicine, & Medical Imaging"),
along with journal IF, in 2003 and 2014. Radiological journals were
manually classified by topic. Trends in median IF (mIF) were assessed.
Results: The number of radiological journals increased from 83 (2003) to
125 (2014) (all biomedical journals: 5907 to 8718, respectively). mIF of
radiological journals increased from 1.42 (2003) to 1.75 (2014) (all
biomedical journals: 0.93 to 1.46, respectively). The most common topic
among new radiological journals was general (nonspecialized) radiology
(8). Five new radiological journals in 2014 were in topics (cancer
imaging and molecular imaging) having no journals in 2003. mIF of
general radiological journals was 1.49. Topics having highest mIF were
cardiac imaging (2.94), optics (2.86), molecular imaging (2.77),
radiation oncology (2.60), and neuroradiology (2.25). Topics with lowest
mIF were ultrasound (1.19) and interventional radiology (1.44). Topics
with the largest increase in mIF were cardiac imaging (from 1.17 to
2.94) and neuroradiology (from 1.07 to 2.25).
Conclusions: Radiological journals exhibited higher mIF than biomedical
journals overall. Among radiological journals, subspecialty journals had
highest mIF. While a considerable number of new radiological journals
since 2003 were general radiology journals having relatively low IF,
there were also new journal topics representing emerging areas of
subspecialized radiological research.

Reprint Address:
Rosenkrantz, AB (reprint author), NYU, Dept Radiol, Langone Med Ctr, 560 1St Ave, New York, NY 10016 USA.

Addresses:
[Rosenkrantz, Andrew B.; Ayoola, Abimbola] NYU, Dept Radiol, Langone Med Ctr, 560 1St Ave, New York, NY 10016 USA. 

E-mail Addresses:
Andrew.Rosenkrantz at nyumc.org

Cited Reference Count:
20

Times Cited:
0

Publisher:
ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA

ISSN:
1076-6332

eISSN:
1878-4046

Web of Science Categories:
Radiology, Nuclear Medicine & Medical Imaging

Research Areas:
Radiology, Nuclear Medicine & Medical Imaging

IDS Number:
DM3AH

Unique ID: 
WOS:000376218700002

PubMed ID:
26992739

Cited References: 
Choudhri Asim F., 2015, RADIOGRAPHICS, V35, P736
Lopez-Abente G, 2005, BMC PUBLIC HEALTH, V5, 
Swanson EW, 2015, Ann Plast Surg, 
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Lowy C, 1997, LANCET, V350, P1035

========================================================================

*Record 24 of 75. Search terms matched: IMPACT FACTOR(4)
*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-3A000376273700020&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=Pg5YMfDpwIbDC1GbQGnqYOj8RwLJpTaBTVqa-7zDlw0&e= 
*Order Full Text [ ]

Title:
*Impact factor* distribution revisited with graphical representation

Authors:
Hsu, JW; Huang, DW

Author Full Names:
Hsu, Jiann-wien; Huang, Ding-wei

Source:
SCIENTOMETRICS, 107 (3):1321-1329; 10.1007/s11192-016-1921-6 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Impact factor, Rank-order distribution, Scaling, Curvature, Matthew effect

KeyWords Plus:
ICEBERG HYPOTHESIS

Abstract: 
In this work, we propose the graphical representation for the empirical
data of the *impact factor* rank-ordered distribution. The
characteristics of the distribution can be directly visualized. Within
the subject category of journal citation reports, the *impact factor*
rank-ordered distribution systematically presents a clear evidence of
the two-exponent behavior and the S-shaped decrease. The sharp convex
decrease is related to the first exponent, which dictates the
distribution of lower ranks. The mild concave decrease is related to the
second exponent, which dictates the distribution of higher ranks. The
relevance of Matthew effect is discussed.

Reprint Address:
Huang, DW (reprint author), Chung Yuan Christian Univ, Dept Phys, Chungli, Taiwan.

Addresses:
[Hsu, Jiann-wien] Natl Tainan Jr Coll Nursing, Gen Educ Ctr, Tainan, Taiwan. 
[Huang, Ding-wei] Chung Yuan Christian Univ, Dept Phys, Chungli, Taiwan. 

E-mail Addresses:
dwhuang at cycu.edu.tw

Cited Reference Count:
11

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:
DM3VB

Unique ID: 
WOS:000376273700020

Cited References: 
Martinez-Mekler G., 2009, PLoS One, V4, 
Mansilla R., 2007, JOURNAL OF INFORMETRICS, V1, P155
Mishra S. K., 2010, A note on empirical sample distribution of journal impact factors in major discipline groups, 
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Brzezinski Michal, 2014, JOURNAL OF INFORMETRICS, V8, P362
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Guerrero-Bote Vicente P., 2007, SCIENTOMETRICS, V71, P423
Egghe L., 2011, INFORMATION PROCESSING & MANAGEMENT, V47, P238

========================================================================

*Record 25 of 75. Search terms matched: CITATION(1)
*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-3A000376273700017&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=jOGnyP9NY7eevAKX9492j5I1AUKnrCA8oqQHGsRlNwY&e= 
*Order Full Text [ ]

Title:
Successful fish go with the flow: *citation* impact prediction based on centrality measures for term-document networks

Authors:
Klimek, P; Jovanovic, AS; Egloff, R; Schneider, R

Author Full Names:
Klimek, Peter; Jovanovic, Aleksandar S.; Egloff, Rainer; Schneider, Reto

Source:
SCIENTOMETRICS, 107 (3):1265-1282; 10.1007/s11192-016-1926-1 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Citation impact prediction, Term-document matrix, Network theory, Bipartite networks

KeyWords Plus:
SCIENTIFIC IMPACT; PUBLICATION; COUNTS; INDICATORS; REGRESSION; ALGORITHM; JOURNALS; ARTICLES; MACHINE; QUALITY

Abstract: 
In this work we address the challenge of how to identify those documents
from a given set of texts that are most likely to have substantial
impact in the future. To this end we develop a purely content-based
methodology in order to rank a given set of documents, for example
abstracts of scientific publications, according to their potential to
generate impact as measured by the numbers of citations that the
articles will receive in the future. We construct a bipartite network
consisting of documents that are linked to keywords and terms that they
contain. We study recursive centrality measures for such networks that
quantify how many different terms a document contains and how these
terms are related to each other. From this we derive a novel
indicator-document centrality-that is shown to be highly predictive of
citation impact in six different case studies. We compare these results
to findings from a multivariable regression model and from conventional
network-based centrality measures to show that document centrality
indeed offers a comparably high performance in identifying those
articles that contain a large number of high-impact keywords. Our
findings suggest that articles which conform to the mainstream within a
given research field tend to receive higher numbers of citations than
highly original and innovative articles.

Reprint Address:
Jovanovic, AS (reprint author), Steinbeis Adv Risk Technol, Willi Bleicher Str 19, D-70174 Stuttgart, Germany.Jovanovic, AS (reprint author), EU VRi, Willi Bleicher Str 19, D-70174 Stuttgart, Germany.

Addresses:
[Klimek, Peter] Med Univ Vienna, Sect Sci Complex Syst, Spitalgasse 23, A-1010 Vienna, Austria. 
[Klimek, Peter; Jovanovic, Aleksandar S.] Steinbeis Adv Risk Technol, Willi Bleicher Str 19, D-70174 Stuttgart, Germany. 
[Jovanovic, Aleksandar S.] EU VRi, Willi Bleicher Str 19, D-70174 Stuttgart, Germany. 
[Egloff, Rainer; Schneider, Reto] Swiss Reinsurance Co Ltd, Mythenquai 50-60, CH-8022 Zurich, Switzerland. 

E-mail Addresses:
jovanovic at risk-technologies.com

Funding Acknowledgement:
European Commission, EU FP7 Project MULTIPLEX [317532]

Funding Text:
PK acknowledges financial support from the European Commission, EU FP7 Project MULTIPLEX, No. 317532. We thank the anonymous referees for providing extremely helpful comments and suggestions.

Cited Reference Count:
49

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:
DM3VB

Unique ID: 
WOS:000376273700017

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========================================================================

*Record 26 of 75. 
*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-3A000376273700006&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=ePFjdZCQEEVfFpaDv_Qvk7jLDVM1w9jR8e0oogM_eGU&e= 
*Order Full Text [ ]

Title:
Identifying key papers within a journal via network centrality measures

Authors:
Diallo, SY; Lynch, CJ; Gore, R; Padilla, JJ

Author Full Names:
Diallo, Saikou Y.; Lynch, Christopher J.; Gore, Ross; Padilla, Jose J.

Source:
SCIENTOMETRICS, 107 (3):1005-1020; 10.1007/s11192-016-1891-8 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Paper filtering, Article-level metrics, Network centrality analysis

KeyWords Plus:
SCIENTIFIC PAPERS; CITATION; BETWEENNESS

Abstract: 
This article examines the extent to which existing network centrality
measures can be used (1) as filters to identify a set of papers to start
reading within a journal and (2) as article-level metrics to identify
the relative importance of a paper within a journal. We represent a
dataset of published papers in the Public Library of Science (PLOS) via
a co-citation network and compute three established centrality metrics
for each paper in the network: closeness, betweenness, and eigenvector.
Our results show that the network of papers in a journal is scale-free
and that eigenvector centrality (1) is an effective filter and
article-level metric and (2) correlates well with citation counts within
a given journal. However, closeness centrality is a poor filter because
articles fit within a small range of citations. We also show that
betweenness centrality is a poor filter for journals with a narrow focus
and a good filter for multidisciplinary journals where communities of
papers can be identified.

Reprint Address:
Lynch, CJ (reprint author), Old Dominion Univ, Virginia Modeling Anal & Simulat Ctr, 1030 Univ Blvd, Suffolk, VA 23435 USA.

Addresses:
[Diallo, Saikou Y.; Lynch, Christopher J.; Gore, Ross; Padilla, Jose J.] Old Dominion Univ, Virginia Modeling Anal & Simulat Ctr, 1030 Univ Blvd, Suffolk, VA 23435 USA. 

E-mail Addresses:
cjlynch at odu.edu

Cited Reference Count:
39

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:
DM3VB

Unique ID: 
WOS:000376273700006

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========================================================================

*Record 27 of 75. 
*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-3A000376273700027&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=fBVZXZjUz3wEAGgQkuLR8xHcWrgdHwk_ecn8ZTfkraY&e= 
*Order Full Text [ ]

Title:
Measuring book impact based on the multi-granularity online review mining

Authors:
Zhou, QQ; Zhang, CZ; Zhao, SX; Chen, BK

Author Full Names:
Zhou, Qingqing; Zhang, Chengzhi; Zhao, Star X.; Chen, Bikun

Source:
SCIENTOMETRICS, 107 (3):1435-1455; 10.1007/s11192-016-1930-5 JUN 2016 

Language:
English

Document Type:
Review

Author Keywords:
Online book reviews, Sentiment analysis, Book citation, Information content, Altmetrics

KeyWords Plus:
CITATION INDEX; INDICATORS; ALTMETRICS

Abstract: 
As with articles and journals, the customary methods for measuring
books' academic impact mainly involve citations, which is easy but
limited to interrogating traditional citation databases and scholarly
book reviews. Researchers have attempted to use other metrics, such as
Google Books, libcitation, and publisher prestige. However, these
approaches lack content-level information and cannot determine the
citation intentions of users. Meanwhile, the abundant online review
resources concerning academic books can be used to mine deeper
information and content utilizing altmetric perspectives. In this study,
we measure the impacts of academic books by multi-granularity mining
online reviews, and we identify factors that affect a book's impact.
First, online reviews of a sample of academic books on Amazon.cn are
crawled and processed. Then, multi-granularity review mining is
conducted to identify review sentiment polarities and aspects' sentiment
values. Lastly, the numbers of positive reviews and negative reviews,
aspect sentiment values, star values, and information regarding
helpfulness are integrated via the entropy method, and lead to the
calculation of the final book impact scores. The results of a
correlation analysis of book impact scores obtained via our method
versus traditional book citations show that, although there are
substantial differences between subject areas, online book reviews tend
to reflect the academic impact. Thus, we infer that online reviews
represent a promising source for mining book impact within the altmetric
perspective and at the multi-granularity content level. Moreover, our
proposed method might also be a means by which to measure other books
besides academic publications.

Reprint Address:
Zhang, CZ (reprint author), Nanjing Univ Sci & Technol, Dept Informat Management, Nanjing 210094, Jiangsu, Peoples R China.Zhang, CZ (reprint author), Nanjing Univ, Jiangsu Key Lab Data Engn & Knowledge Serv, Nanjing 210094, Jiangsu, Peoples R China.Zhang, CZ (reprint author), Hangzhou Normal Univ, Alibaba Res Ctr Complex Sci, Hangzhou 311121, Zhejiang, Peoples R China.

Addresses:
[Zhou, Qingqing; Zhang, Chengzhi; Chen, Bikun] Nanjing Univ Sci & Technol, Dept Informat Management, Nanjing 210094, Jiangsu, Peoples R China. 
[Zhang, Chengzhi] Nanjing Univ, Jiangsu Key Lab Data Engn & Knowledge Serv, Nanjing 210094, Jiangsu, Peoples R China. 
[Zhou, Qingqing; Zhang, Chengzhi] Hangzhou Normal Univ, Alibaba Res Ctr Complex Sci, Hangzhou 311121, Zhejiang, Peoples R China. 
[Zhao, Star X.] E China Normal Univ, Dept Informat Management, Shanghai 200241, Peoples R China. 

E-mail Addresses:
zhangcz at njust.edu.cn

Funding Acknowledgement:
Major Projects of National Social Science Fund [13ZD174]; National Social Science Fund Project [14BTQ033]; Opening Foundation of Alibaba Research Center for Complex Sciences, Hangzhou Normal University [PD12001003002003]; Graduate Students Education Innovation Project of Jiangsu Province [KYLX15_0389]

Funding Text:
This work is supported by Major Projects of National Social Science Fund (13&ZD174), National Social Science Fund Project (No. 14BTQ033), the Opening Foundation of Alibaba Research Center for Complex Sciences, Hangzhou Normal University (No. PD12001003002003), and the Graduate Students Education Innovation Project of Jiangsu Province (No. KYLX15_0389).

Cited Reference Count:
34

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:
DM3VB

Unique ID: 
WOS:000376273700027

Cited References: 
Zhou Q., 2013, Chinese Journal of Library and Information Science, V6, P40
Gorraiz Juan, 2014, SCIENTOMETRICS, V98, P841
Torres-Salinas Daniel, 2012, REVISTA ESPANOLA DE DOCUMENTACION CIENTIFICA, V35, P615
CORTES C, 1995, MACHINE LEARNING, V20, P273
Bar-Ilan Judit, 2010, SCIENTOMETRICS, V82, P495
Kousha K., 2015, Proceedings of the 15th international conference on scientometrics and informetrics, P59
Stremersch Stefan, 2007, JOURNAL OF MARKETING, V71, P171
Ding X., 2008, Proceedings of the 2008 international conference on web search and data mining, P231
Egghe L., 1990, 
Yin Dezhi, 2014, MIS QUARTERLY, V38, P539
Torres-Salinas Daniel, 2014, SCIENTOMETRICS, V98, P2113
Dugan Robert E., 2008, LIBRARY & INFORMATION SCIENCE RESEARCH, V30, P235
SHAW D, 1991, LIBRARY & INFORMATION SCIENCE RESEARCH, V13, P147
Kousha Kayvan, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P2147
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Kousha Kayvan, 2010, JOURNAL OF INFORMETRICS, V4, P124
Gorraiz Juan, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P1388
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Nicolaisen J, 2002, RESEARCH EVALUATION, V11, P129
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Zhou Q., 2016, Cognitive Computation, 
Shema Hadas, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P1018
Bornmann Lutz, 2014, JOURNAL OF INFORMETRICS, V8, P935
Kousha Kayvan, 2016, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V67, P566
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Chaovalit P., 2005, Proceedings of the 38th annual Hawaii international conference on system sciences, P112c
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Su X., 2009, Donyue Tribune, V7, P5
Chevalier Judith A., 2006, JOURNAL OF MARKETING RESEARCH, V43, P345
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Zhuang L., 2006, Proceedings of the 15th ACM international conference on information and knowledge management, P43
Kousha Kayvan, 2015, PROFESIONAL DE LA INFORMACION, V24, P724

========================================================================

*Record 28 of 75. Search terms matched: CITATION(1)
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Title:
RPYS i/o: software demonstration of a web-based tool for the historiography and visualization of *citation* classics, sleeping beauties and research fronts

Authors:
Comins, JA; Leydesdorff, L

Author Full Names:
Comins, Jordan A.; Leydesdorff, Loet

Source:
SCIENTOMETRICS, 107 (3):1509-1517; 10.1007/s11192-016-1928-z JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Reference Publication Year Spectroscopy, Multi-RPYS, Citation analysis, Algorithmic historiography, Bibliometrics

KeyWords Plus:
PUBLICATION YEAR SPECTROSCOPY; INDICATORS; IMPACT

Abstract: 
Reference Publication Year Spectroscopy (RPYS) and Multi-RPYS provide
algorithmic approaches to reconstructing the intellectual histories of
scientific fields. With this brief communication, we describe a
technical advancement for developing research historiographies by
introducing RPYS i/o, an online tool for performing standard RPYS and
Multi-RPYS analyses interactively (at https://urldefense.proofpoint.com/v2/url?u=http-3A__comins.leydesdorff.net_&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=jggqdBgYg9_o9UeLjMfMwkU_v1T1HgOeOFUIfWUdG5k&e= ).
The tool enables users to explore seminal works underlying a research
field and to plot the influence of these seminal works over time. This
suite of visualizations offers the potential to analyze and visualize
the myriad of temporal dynamics of scientific influence, such as
citation classics, sleeping beauties and the dynamics of research
fronts. We demonstrate the features of the tool by analyzing-as an
example-the references in documents published in the journal Philosophy
of Science.

Reprint Address:
Comins, JA (reprint author), Virginia Tech Appl Res Corp, Ctr Appl Informat Sci, Arlington, VA USA.

Addresses:
[Comins, Jordan A.] Virginia Tech Appl Res Corp, Ctr Appl Informat Sci, Arlington, VA USA. 
[Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, POB 15793, NL-1001 NG Amsterdam, Netherlands. 

E-mail Addresses:
jcomins at gmail.com; loet at leydesdorff.net

Cited Reference Count:
22

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:
DM3VB

Unique ID: 
WOS:000376273700033

Cited References: 
COZZENS SE, 1989, SCIENTOMETRICS, V15, P437
Garfield E., 1975, Current Contents, V51, P396
Small H, 1978, Social Studies of Science, V8, P113
Marx Werner, 2014, SCIENTOMETRICS, V99, P839
Comins Jordan A., 2015, JOURNAL OF INFORMETRICS, V9, P449
Leydesdorff Loet, 2014, JOURNAL OF INFORMETRICS, V8, P162
van Eck Nees Jan, 2014, JOURNAL OF INFORMETRICS, V8, P802
Comins J. A., 2016, ArXiv. 1601.00288., 
Thor A., 2016, Journal of Informetrics, 
Comins Jordan A., 2015, SCIENTOMETRICS, V104, P575
Frodeman R., 2016, New York Times, The Stone, 
Elango B., 2016, ArXiv. 1601.00141., 
Leydesdorff Loet, 2015, SOZIALE WELT-ZEITSCHRIFT FUR SOZIALWISSENSCHAFTLICHE FORSCHUNG UND PRAXIS, V66, P193
Van Fraassen B. C, 1980, The scientific image, 
Garfield E., 1964, The use of citation data in writing the history of science, 
Price D. S, 1970, Communication among scientists and engineers, P3
Kuhn T. S, 1970, The structure of scientific revolutions, 
Garfield E, 2003, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V54, P400
Marx Werner, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P751
Baumgartner Susanne E., 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P797
Wray K. Brad, 2015, SCIENTOMETRICS, V102, P1987
Leydesdorff Loet, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P278

========================================================================

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Title:
Associations Between NIH Funding and Advanced *Bibliometric* Indices Among Radiological Investigators

Authors:
Rosenkrantz, AB; Jiang, A

Author Full Names:
Rosenkrantz, Andrew B.; Jiang, Anthony

Source:
ACADEMIC RADIOLOGY, 23 (6):669-674; 10.1016/j.acra.2016.02.006 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Bibliometrics, publication, citation, h-index, academic radiology

KeyWords Plus:
H-INDEX; ACADEMIC RADIOLOGY; RADIATION ONCOLOGY; PUBLICATION; PRODUCTIVITY; CITATION; IMPACT

Abstract: 
Rationale and Objectives: Whereas data support the h index (reflecting
both publications and citations) as an indicator of academic
productivity, other advanced bibliometric indices aiming to. address
shortcomings of the h index remain poorly studied. Our objective was to
compare the associations between bibliometric indices and total National
Institutes of Health (NIH) grant funding among investigators within U.S.
academic radiology departments.
Materials and Methods: NIH grant funding amounts for 400 NIH-funded
investigators within radiology departments were obtained from Blue Ridge
Institute for Medical Research. Investigators' publications and
associated citations were identified using Scopus. Indices computed for
each investigator included: publication count, citation count, h index,
i-10 index, h(c) index (h index adjusted for recency of publications), m
quotient (h index adjusted for career duration), and e index and g index
(both account for highly cited articles). Spearman correlations were
performed between indices and funding. Multivariable linear regression
was performed to identify significant independent predictors of funding.
Results: For MD investigators: the indices exhibited no-to-weak
correlations with funding (r= 0.173-0.387); m quotient exhibited the
largest correlation and was the only significant (albeit weak)
independent predictor of funding (P = 0.011). For PhD investigators:
correlation with funding was weak for m quotient (r = 0.323), although
moderate for other indices (r = 0.518-0.568); publication count
exhibited highest correlation; publication count (P < 0.001) and h(c)
index (P = 0.024) were significant independent predictors of funding.
Conclusions: Bibliometric indices were more strongly associated with
grant funding for PhD than for MD radiology investigators, with
publication count exhibiting the strongest association in the latter
group. Time-weighted adjustments, as reflected by the m quotient and
h(c) index, may improve efforts to predict funding using bibliometrics.

Reprint Address:
Rosenkrantz, AB (reprint author), NYU, Dept Radiol, Langone Med Ctr, 660 First Ave, New York, NY 10016 USA.

Addresses:
[Rosenkrantz, Andrew B.; Jiang, Anthony] NYU, Dept Radiol, Langone Med Ctr, 660 First Ave, New York, NY 10016 USA. 

E-mail Addresses:
andrew.rosenkrantz at nyumc.org

Cited Reference Count:
17

Times Cited:
0

Publisher:
ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA

ISSN:
1076-6332

eISSN:
1878-4046

Web of Science Categories:
Radiology, Nuclear Medicine & Medical Imaging

Research Areas:
Radiology, Nuclear Medicine & Medical Imaging

IDS Number:
DM3AH

Unique ID: 
WOS:000376218700003

PubMed ID:
27040181

Cited References: 
Choudhri Asim F., 2015, RADIOGRAPHICS, V35, P736
Rad Arash Ehteshami, 2010, ACADEMIC RADIOLOGY, V17, P817
Benway Brian M., 2009, UROLOGY, V74, P30
Rad Arash Ehteshami, 2012, ACADEMIC RADIOLOGY, V19, P455
Poynard Thierry, 2011, CLINICS AND RESEARCH IN HEPATOLOGY AND GASTROENTEROLOGY, V35, P375
Svider Peter F., 2013, LARYNGOSCOPE, V123, P103
Quigley Matthew R., 2012, JOURNAL OF CANCER EDUCATION, V27, P463
Rezek Issa, 2012, ACADEMIC RADIOLOGY, V19, P632
Rezek Issa, 2011, ACADEMIC RADIOLOGY, V18, P1337
Carpenter Christopher R., 2014, ACADEMIC EMERGENCY MEDICINE, V21, P1160
Pagel P. S., 2011, ACTA ANAESTHESIOLOGICA SCANDINAVICA, V55, P1085
Vieira Elizabeth S., 2009, SCIENTOMETRICS, V81, P587
Durieux Valerie, 2010, RADIOLOGY, V255, P342
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Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
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Ball Philip, 2007, NATURE, V448, P737

========================================================================

*Record 30 of 75. Search terms matched: CITATION(1)
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Title:
How does prolific professors influence on the *citation* impact of their university departments?

Authors:
Piro, FN; Rorstad, K; Aksnes, DW

Author Full Names:
Piro, Fredrik Niclas; Rorstad, Kristoffer; Aksnes, Dag W.

Source:
SCIENTOMETRICS, 107 (3):941-961; 10.1007/s11192-016-1900-y JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Research productivity, Productivity distribution, Professors

KeyWords Plus:
SCIENCE SYSTEM; PRODUCTIVITY DIFFERENCES; SCALING RULES; RESEARCHERS; PERFORMANCE; PUBLICATION; FACULTY; NORWAY; FIELDS; SIZE

Abstract: 
Professors and associate professors ("professors") in full-time
positions are key personnel in the scientific activity of university
departments, both in conducting their own research and in their roles as
project leaders and mentors to younger researchers. Typically, this
group of personnel also contributes significantly to the publication
output of the departments, although there are also major contributions
by other staff (e.g. PhD-students, postdocs, guest researchers, students
and retired personnel). The scientific productivity is however, very
skewed at the level of individuals, also for professors, where a small
fraction of the professors, typically account for a large share of the
publications. In this study, we investigate how the productivity profile
of a department (i.e. the level of symmetrical/asymmetrical productivity
among professors) influences on the citation impact of their
departments. The main focus is on contributions made by the most
productive professors. The findings imply that the impact of the most
productive professors differs by scientific field and the degree of
productivity skewness of their departments. Nevertheless, the overall
impact of the most productive professors on their departments' citation
impact is modest.

Reprint Address:
Piro, FN (reprint author), Nord Inst Studies Innovat Res & Educ NIFU, POB 2815, N-0608 Oslo, Norway.

Addresses:
[Piro, Fredrik Niclas; Rorstad, Kristoffer; Aksnes, Dag W.] Nord Inst Studies Innovat Res & Educ NIFU, POB 2815, N-0608 Oslo, Norway. 

E-mail Addresses:
Fredrik.piro at nifu.no; Kristoffer.rorstad at nifu.no; dag.w.aksnes at nifu.no

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:
DM3VB

Unique ID: 
WOS:000376273700003

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========================================================================

*Record 31 of 75. Search terms matched: BIBLIOMETRIC(1)
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Title:
Major trends in knowledge management research: a *bibliometric* study

Authors:
Akhavan, P; Ebrahim, NA; Fetrati, MA; Pezeshkan, A

Author Full Names:
Akhavan, Peyman; Ebrahim, Nader Ale; Fetrati, Mahdieh A.; Pezeshkan,
Amir

Source:
SCIENTOMETRICS, 107 (3):1249-1264; 10.1007/s11192-016-1938-x JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Bibliometric, Citation analysis, Knowledge management, Research productivity

KeyWords Plus:
GOOGLE SCHOLAR; PART I; CITATION; SCIENCE; IMPACT; DISCIPLINE; AUTHORSHIP; DISCOURSES; JOURNALS; ARTICLES

Abstract: 
This study provides an overview of the knowledge management literature
from 1980 through 2014. We employ bibliometric and text mining analyses
on a sample of 500 most cited articles to examine the impact of factors
such as number of authors, references, pages, and keywords on the number
of citations that they received. We also investigate major trends in
knowledge management literature including the contribution of different
countries, variations across publication years, and identifying active
research areas and major journal outlets. Our study serves as a resource
for future studies by shedding light on how trends in knowledge
management research have evolved over time and demonstrating the
characteristics of the most cited articles in this literature.
Specifically, our results reveal that the most cited articles are from
United States and United Kingdom. The most prolific year in terms of the
number of published articles is 2009 and in terms of the number of
citations is 2012. We also found a positive relationship between the
number of publications' keywords, references, and pages and the number
of citations that they have received. Finally, the Journal of Knowledge
Management has the largest share in publishing the most cited articles
in this field.

Reprint Address:
Akhavan, P (reprint author), Malek Ashtar Univ Technol, Dept Management, Tehran, Iran.

Addresses:
[Akhavan, Peyman] Malek Ashtar Univ Technol, Dept Management, Tehran, Iran. 
[Ebrahim, Nader Ale] Univ Malaya, Dept Engn Design & Mfg, Kuala Lumpur, Malaysia. 
[Fetrati, Mahdieh A.] Aalborg Univ, Aalborg, Denmark. 
[Pezeshkan, Amir] Univ Baltimore, Merrick Sch Business, Dept Management & Int Business, Baltimore, MD 21201 USA. 

E-mail Addresses:
peyman_akv at yahoo.com; aleebrahim at um.edu.my; m_afetrati at yahoo.com; apezeshkan at ubalt.edu

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:
DM3VB

Unique ID: 
WOS:000376273700016

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Serenko Alexander, 2015, JOURNAL OF KNOWLEDGE MANAGEMENT, V19, P1335
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Qiu Junping, 2014, ASLIB JOURNAL OF INFORMATION MANAGEMENT, V66, P424

========================================================================

*Record 32 of 75. Search terms matched: CITATION(1)
*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-3A000376273700010&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=oiqeILsA1AMGq3flHWgqwsKFiHlItgfF-8eN2-L_Gqg&e= 
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Title:
Influence of international co-authorship on the research *citation* impact of young universities

Authors:
Khor, KA; Yu, LG

Author Full Names:
Khor, K. A.; Yu, L. -G.

Source:
SCIENTOMETRICS, 107 (3):1095-1110; 10.1007/s11192-016-1905-6 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
International collaboration, International co-authorship, Young universities, Old universities, citations per paper (CPP), World university ranking, Field-weighted citation impact (FWCI), Research expenditure, Leiden ranking

KeyWords Plus:
SCIENTIFIC COLLABORATION; SCIENCE; MODEL; VIEW

Abstract: 
We investigated the effect of international collaboration (in the form
of international co-authorship) on the impact of publications of young
universities (<50 years old), and compared to that of renowned old
universities (>100 years old). The following impact indicators are used
in this study, they are: (1) the 5-year citations per paper (CPP) data,
(2) the international co-authorship rate, (3) the CPP differential
between publications with and without international co-authorships, and
(4) the difference between the percentage of international co-authored
publications falling in the global top 10 % highly cited publications
and the percentage of overall publications falling in the global top 10
% highly cited publications (Delta%(Top10%)). The increment of 5-year
(2010-2014) field weighted citation impact (FWCI) of internationally
co-authored papers over the 5-year overall FWCI of the institutions in
SciVal (R) is used as another indicator to eliminate the effect of
discipline difference in citation rate. The results show that, for most
top institutions, the difference between the citations per paper (CPP)
for their publications with and without international co-authorship is
positive, with increase of up to 5.0 citations per paper over the period
1996-2003. Yet, for some Asian institutions, by attracting a lot of
researchers with international background and making these collaborating
"external" authors as internal researchers, these institutions have
created a special kind of international collaboration that are not
expressed in co-authorship, and the CPP gaps between publications with
and without international co-authorship are relatively small (around 0-1
citations per paper increment) for these institutions. The top old
institutions have higher CPP than young institutions, and higher annual
research expenditures; while young universities have a higher relative
CPP increment for the current 5-year period over the previous 5-year
period. The Delta%(Top10%) for international co-authored publications is
generally higher than that for all journal publications of the same
institution. With the increase of international co-authorship ratio, the
mean geographical collaboration distance (MGCD, an indication of
increased international co-authorship) of one institution based on the
Leiden Ranking data also increases, and young institutions have
relatively higher CPP increment over MGCD increment. International
co-authorship has a positive contribution to the FWCI of the
institution, yet there are untapped potential to enhance the
collaboration among young institutions.

Reprint Address:
Yu, LG (reprint author), Nanyang Technol Univ, Res Support Off & Bibliometr Anal, B4-01,Block N2-1,76,Nanyang Dr, Singapore 637331, Singapore.

Addresses:
[Khor, K. A.; Yu, L. -G.] Nanyang Technol Univ, Res Support Off & Bibliometr Anal, B4-01,Block N2-1,76,Nanyang Dr, Singapore 637331, Singapore. 

E-mail Addresses:
mkakhor at ntu.edu.sg; mlgyu at ntu.edu.sg

Cited Reference Count:
16

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:
DM3VB

Unique ID: 
WOS:000376273700010

Cited References: 
Glanzel W, 1999, SCIENTOMETRICS, V45, P185
Hara N, 2003, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V54, P952
Leydesdorff Loet, 2008, JOURNAL OF INFORMETRICS, V2, P317
Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2419
Van Raan AFJ, 1998, SCIENTOMETRICS, V42, P423
Moed H. F., 2005, Citation analysis in research evaluation, 
Persson Olle, 2010, SCIENTOMETRICS, V83, P397
De Lange C, 1997, SCIENTOMETRICS6th Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 16-19, 1997, JERUSALEM, ISRAEL, V40, P593
Glanzel W, 2001, SCIENTOMETRICS, V50, P199
Glanzel W, 1997, SCIENTOMETRICS6th Conference of the International-Society-for-Scientometrics-and-Informetrics, JUN 16-19, 1997, JERUSALEM, ISRAEL, V40, P605
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Cronin B, 1999, JOURNAL OF DOCUMENTATION, V55, P402

========================================================================

*Record 33 of 75. Search terms matched: IMPACT FACTORY(1)
*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-3A000376218700001&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=mIWFUAHsyD4dZokLud2LJIVx9sYo3S94mDuKXZNuVZs&e= 
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Title:
The *Impact Factory*

Authors:
Duszak, R

Author Full Names:
Duszak, Richard, Jr.

Source:
ACADEMIC RADIOLOGY, 23 (6):659-660; 10.1016/j.acra.2016.01.011 JUN 2016 

Language:
English

Document Type:
Editorial Material

Reprint Address:
Duszak, R (reprint author), Emory Univ, Sch Med, Dept Radiol & Imaging Sci, 1364 Clifton Rd, Atlanta, GA 30322 USA.

Addresses:
[Duszak, Richard, Jr.] Emory Univ, Sch Med, Dept Radiol & Imaging Sci, 1364 Clifton Rd, Atlanta, GA 30322 USA. 

E-mail Addresses:
richard.duszak at emory.edu

Cited Reference Count:
7

Times Cited:
0

Publisher:
ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA

ISSN:
1076-6332

eISSN:
1878-4046

Web of Science Categories:
Radiology, Nuclear Medicine & Medical Imaging

Research Areas:
Radiology, Nuclear Medicine & Medical Imaging

IDS Number:
DM3AH

Unique ID: 
WOS:000376218700001

PubMed ID:
26971042

Cited References: 
Rosenkrantz AB, Acad Radiol., 
Borgstede James P, 2007, Journal of the American College of Radiology : JACR, V4, P875
Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90
Dunnick NR, 2001, Acad Radiol, V8, P1026
Choudhri Asim F., 2015, RADIOGRAPHICS, V35, P736
Fuchs VR, 2001, HEALTH AFFAIRS, V20, P30
Trueger N. Seth, 2015, ANNALS OF EMERGENCY MEDICINE, V66, P549

========================================================================

*Record 34 of 75. Search terms matched: JOURNALS(1)
*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-3A000376273700032&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=Ey0ySZrphxkP0zculjiCKWep5ISTkx2zq4rZ9e2RgEE&e= 
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Title:
"Listing author contribution" does not alter the author inflation in the publications in basic research in four major gastroenterology *journals* in 10 years

Authors:
Dong, YP; Wang, PZ; Guo, L; Liu, HQ

Author Full Names:
Dong, Yanping; Wang, Panzhi; Guo, Lan; Liu, Hongqun

Source:
SCIENTOMETRICS, 107 (3):1501-1507; 10.1007/s11192-016-1923-4 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Author number, Gift authorship, Author contribution, Gastroenterology

KeyWords Plus:
CANCER

Abstract: 
The number of authors and their contributions in original research
publications have drawn the attention of editors for years. Some
journals specifically ask that the authors list their contributions on
the title page. However, whether this requirement is useful remains
unclear. The present study was to elucidate the author number trend over
the past 10 years in four major gastroenterology journals. Four major
journals in gastroenterology (Gastroenterology, Gut, Journal of
Hepatology and Hepatology) between January 1, 2005 and December 31, 2014
were searched. We limited the papers to basic research. The average
number of authors of papers published in each journal were calculated
and any changes in author numbers over the search period were compared.
We found that Gastroenterology and Gut began to require the authors to
list contributions in 2010 and Journal of Hepatology and Hepatology did
the same in 2012. We therefore also investigated whether authorship
numbers changed in studies published in Gastroenterology and Gut before
and after 2010, and before and after 2012 in Journal of Hepatology and
Hepatology. There has been an increase in author numbers over the past
10 years. This number was significantly increased in the papers
published between 2010 and 2014 compared with those between 2005 and
2009 (p < 0.05 in all of the four journals). Author contribution
requirements have not deterred the trend of increasing author numbers.
The number of authors in basic science papers are increasing; the new
requirement of listing authorship contributions has not affected this
trend.

Reprint Address:
Dong, YP (reprint author), Zhejiang Univ, Sch Med, Affiliated Hosp 1, Editorial Off Hepatobiliary & Pancreat Dis Int, Hangzhou 310003, Zhejiang, Peoples R China.

Addresses:
[Dong, Yanping; Wang, Panzhi; Guo, Lan] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Editorial Off Hepatobiliary & Pancreat Dis Int, Hangzhou 310003, Zhejiang, Peoples R China. 
[Liu, Hongqun] Univ Calgary, Liver Unit, Calgary, AB, Canada. 

E-mail Addresses:
zyyydyp at 126.com

Cited Reference Count:
11

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:
DM3VB

Unique ID: 
WOS:000376273700032

Cited References: 
Deng Xiaobing, 2014, Genes & cancer, V5, P337
Kovacs Jozsef, 2013, JOURNAL OF MEDICAL ETHICS, V39, P509
Tomita Kengo, 2014, JOURNAL OF HEPATOLOGY, V61, P98
Tilak G., 2015, Inquiry, V52, 
Rebbeck Timothy R., 2015, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V313, P1347
DRENTH JPH, 1995, LANCET, V345, P1242
Kakuk Peter, 2014, EMBO REPORTS, V15, P1104
Shaw David, 2014, EMBO REPORTS, V15, P1106
Ivanis Ana, 2008, JOURNAL OF GENERAL INTERNAL MEDICINE, V23, P1303
Morran Douglas C., 2014, GUT, V63, P1481
STRUB RL, 1976, LANCET, V2, P1090

========================================================================

*Record 35 of 75. Search terms matched: BIBLIOMETRIC(1)
*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-3A000376273700031&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=alvcRl8P7JkgSxsP3phQ9reUFr_X1vecz2f1pMTUF1c&e= 
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Title:
An analysis of *bibliometric* indicators to JCR according to Benford's law

Authors:
Alves, AD; Yanasse, HH; Soma, NY

Author Full Names:
Alves, Alexandre Donizeti; Yanasse, Horacio Hideki; Soma, Nei Yoshihiro

Source:
SCIENTOMETRICS, 107 (3):1489-1499; 10.1007/s11192-016-1908-3 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Journal Citation Reports, JCR, Bibliometric indicators, Benford's law

KeyWords Plus:
SCIENTIFIC JOURNALS; IMPACT FACTORS; CITATIONS; ARTICLES; QUALITY

Abstract: 
Journal Citation Reports (JCR) is the main source of bibliometric
indicators known by the scientific community. This paper presents the
results of a study of the distributions of the first and second
significant digits according to Benford's law (BL) of the number of
articles, citations, impact factors, half-life and immediacy index
bibliometric indicators in journals indexed in the JCR Sciences and
Social Sciences Editions from 2007 to 2014. We also performed the data
analysis to country's origin and by journal's category, and we verified
that the second digit has a better adherence to BL. The use of the
second digit is important since it provides a more sound, complete and
consistent analysis of the bibliometric indicators.

Reprint Address:
Alves, AD (reprint author), Aeronaut Inst Technol ITA, Praca Marechal Eduardo Gomes,50 Vila Acacias, BR-12228900 Sao Jose Dos Campos, SP, Brazil.

Addresses:
[Alves, Alexandre Donizeti; Soma, Nei Yoshihiro] Aeronaut Inst Technol ITA, Praca Marechal Eduardo Gomes,50 Vila Acacias, BR-12228900 Sao Jose Dos Campos, SP, Brazil. 
[Yanasse, Horacio Hideki] Fed Univ Sao Paulo UNIFESP, Ave Cesare Mansueto Giulio Lattes 1201, BR-12231280 Sao Jose Dos Campos, SP, Brazil. 

E-mail Addresses:
alexdonizeti at gmail.com

Funding Acknowledgement:
CAPES; CNPq

Funding Text:
The authors acknowledge the financial support of CAPES and CNPq. We thank the suggestions of the anonymous reviewers that improved the presentation of the paper.

Cited Reference Count:
21

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:
DM3VB

Unique ID: 
WOS:000376273700031

Cited References: 
Nigrini M, 2012, Benford's law: Applications for forensic accounting, auditing, and fraud detection, 
Benford F., 1938, Proceedings of the American Philosophical Society, V78, P551
Miguel Campanario Juan, 2014, SCIENTOMETRICS, V99, P289
Joannes-Boyau Renaud, 2015, SCIENTIFIC REPORTS, V5, 
Alves Alexandre Donizeti, 2014, SCIENTOMETRICS, V98, P173
Sangwal Keshra, 2013, SCIENTOMETRICS, V97, P719
Huerlimann Werner, 2015, JOURNAL OF INFORMETRICS, V9, P349
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Durieux Valerie, 2010, RADIOLOGY, V255, P342
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Miguel Campanario Juan, 2015, JOURNAL OF INFORMETRICS, V9, P398
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Miguel Campanario Juan, 2011, SCIENTOMETRICS, V88, P421
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========================================================================

*Record 36 of 75. Search terms matched: BIBLIOMETRIC(1)
*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-3A000376273700018&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=qLrkrX3Zw5SEwmQm5vi3NabMgjwl50guC1LgXOuTSaw&e= 
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Title:
Using Monte Carlo simulations to assess the impact of author name disambiguation quality on different *bibliometric* analyses

Authors:
Schulz, J

Author Full Names:
Schulz, Jan

Source:
SCIENTOMETRICS, 107 (3):1283-1298; 10.1007/s11192-016-1892-7 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Academic rankings, Bibliometric analysis, Bibliometrics, Monte Carlo simulations

KeyWords Plus:
SCOPUS; DISTRIBUTIONS; RESEARCHERS; NETWORKS; RANKINGS; SUCCESS; SCIENCE; MODEL; POWER

Abstract: 
Bibliometric analyses depend on the quality of data sets and the author
name disambiguation process (ANDP), which attributes author names on
papers to real persons. Errors in a data set or the ANDP result in
wrongly attributed papers to the wrong person. These errors can
potentially distort the results of analyses based on such data sets.
However, the general impact of data set quality on bibliometric analysis
is mostly unknown; as such, an assessment is costly due to the manual
steps involved. This paper presents an overview of the data set
qualities produced by different ANDPs and uses simulations to study the
general impact of data set quality on different bibliometric analysis
(author rankings and regressions analysis with number of papers as
dependent variable). The results show that rankings of authors are only
valid on high quality data sets, which are typically not found directly
in commercially available datasets. Both mean and individual per person
data set quality is important for valid ranking results. Regressions are
not as influenced by the overall data set quality but instead by
individual quality differences between authors. Different types of
errors can potentially bias the regression results. The outcome of this
study also shows the importance of reporting both overall and individual
variation in data set quality, so that the validity of analyses based on
these data sets can be assessed.

Reprint Address:
Schulz, J (reprint author), TU Bergakad Freiberg, Schlosspl 1, D-09599 Freiberg, Germany.

Addresses:
[Schulz, Jan] TU Bergakad Freiberg, Schlosspl 1, D-09599 Freiberg, Germany. 

Cited Reference Count:
62

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:
DM3VB

Unique ID: 
WOS:000376273700018

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========================================================================

*Record 37 of 75. Search terms matched: IMPACT FACTOR(1)
*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-3A000376273700002&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=B3mo_jLoW2XsIVHOEKg5vAosF7swCriVq40phaIAgOM&e= 
*Order Full Text [ ]

Title:
Collaboration network of knowledge creation and dissemination on Management research: ranking the leading institutions

Authors:
Ronda-Pupo, GA; Guerras-Martin, LA

Author Full Names:
Armando Ronda-Pupo, Guillermo; Angel Guerras-Martin, Luis

Source:
SCIENTOMETRICS, 107 (3):917-939; 10.1007/s11192-016-1924-3 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Academic collaboration, Business schools rankings, Research institutions, Science indicators, University policy

KeyWords Plus:
JOURNAL SELF-CITATIONS; SCIENCE SYSTEM; CO-AUTHORSHIP; ECONOMICS DEPARTMENTS; STRATEGIC MANAGEMENT; SCALING RULES; IMPACT FACTOR; BUSINESS; COOPERATION; FIELD

Abstract: 
The aim of this paper is to measure the relevance of the institutions in
the academic community involved in creating and disseminating knowledge
in the field of Management through their position in the collaboration
network. This relevance is defined by an original and more comprehensive
approach to the analysis of each institution's importance through degree
centrality, as it includes scientific output, while at the same time
taking into account the level of collaboration between institutions, as
well as the impact of the publications in which each institution is
involved. This approach enables us to draw up a ranking of the 103
leading institutions, as well as overcome some of the limitations of
prior studies by considering the role each institution plays in the
academic community, not only through its scientific output or citations
but also through the relationships it forges with other institutions.
Our findings confirm the existence of elite groups worldwide that
collaborate with other minor institutions, whereas major institutions
collaborate less with each other.

Reprint Address:
Guerras-Martin, LA (reprint author), Univ Rey Juan Carlos, Fac Ciencias Jurid & Sociales, Paseo Artilleros S-N, Madrid 28032, Spain.

Addresses:
[Armando Ronda-Pupo, Guillermo] Univ Catolica Norte, Dept Adm, Antofagasta, Chile. 
[Armando Ronda-Pupo, Guillermo] Univ Holguin, Holguin, Cuba. 
[Angel Guerras-Martin, Luis] Univ Rey Juan Carlos, Fac Ciencias Jurid & Sociales, Paseo Artilleros S-N, Madrid 28032, Spain. 

E-mail Addresses:
luisangel.guerras at urjc.es

Funding Acknowledgement:
Spanish Ministry of Economy and Competitiveness (Spain) [ECO2012-36775, ECO2015-67434-R]; Universidad Catolica del Norte (Chile) [40101001]

Funding Text:
This paper has been supported by Projects ECO2012-36775 and ECO2015-67434-R of Spanish Ministry of Economy and Competitiveness (Spain) and Project 40101001 of the Universidad Catolica del Norte (Chile).

Cited Reference Count:
64

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:
DM3VB

Unique ID: 
WOS:000376273700002

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========================================================================

*Record 39 of 75. Search terms matched: BIBLIOMETRIC(1); CITED(1)
*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-3A000376273700008&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=q0KhhHgpf4FEToF586pHI8qo9cbr68vZOALUUsCm4m0&e= 
*Order Full Text [ ]

Title:
Is the promotion of research reflected in *bibliometric* data? A network analysis of highly *cited* papers on the Clusters of Excellence supported under the Excellence Initiative in Germany

Authors:
Bornmann, L

Author Full Names:
Bornmann, Lutz

Source:
SCIENTOMETRICS, 107 (3):1041-1061; 10.1007/s11192-016-1925-2 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Excellence Initiative, Cluster of Excellence, Bibliometrics, Highly cited papers

KeyWords Plus:
HIGHER-EDUCATION; IMPACT

Abstract: 
Under the Excellence Initiative, a number of Clusters of Excellence in
Germany have been supported since 2006 and 2007-including each a limited
number of cooperating institutions. The aim of the present study is to
investigate whether support for Clusters of Excellence since 2006 and
2007 is reflected in bibliometric network data. For this purpose, a
comparison is made between network data in the period before support
started (2003-2005) and in the period after support started (2009-2011).
For these two periods, a co-authorship network is generated (based on
the funded institutions). This is based on publications which are among
the 1 % most frequently cited publications in their respective fields
and publication year and which have at least one author from Germany. As
the results show, the outcomes this yields for life sciences and natural
sciences differ from each other. Whereas natural sciences display an
effect of establishment of Clusters of Excellence on the bibliometric
networks, this was not true of life sciences. After establishment of the
Clusters of Excellence, the network in natural sciences not only
contained more institutions of a Cluster of Excellence, but these
institutions were distributed across fewer bibliometric clusters in the
network than before establishment. In other words the structure of the
Clusters of Excellence was better reflected in the network.

Reprint Address:
Bornmann, L (reprint author), Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany.

Addresses:
[Bornmann, Lutz] Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany. 

E-mail Addresses:
bornmann at gv.mpg.de

Cited Reference Count:
23

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:
DM3VB

Unique ID: 
WOS:000376273700008

Cited References: 
Bornmann L., 2015, Measuring impact in research evaluations: A thorough discussion of methods for, effects of, and problems with impact measurements, 
van Eck Nees Jan, 2010, SCIENTOMETRICS, V84, P523
Waltman Ludo, 2010, JOURNAL OF INFORMETRICS, V4, P629
Leydesdorff Loet, 2014, PROFESIONAL DE LA INFORMACION, V23, P589
Internationale Expertenkommission zur Evaluation der Exzellenzinitiative, 2016, Endbericht, 
Bornmann Lutz, 2013, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V64, P217
Waltman L., 2013, The European Physical Journal B, V86, P1
Bornmann L., 2014, Next generation metrics, P201
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Bornmann Lutz, 2014, RESEARCH EVALUATION, V23, P166

========================================================================

*Record 41 of 75. Search terms matched: CITATIONS(1); IMPACT FACTOR(3)
*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-3A000376273700014&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=gX9r-CX_3U9o4-OXfRm7Zq4gtUixo0ZR0ukS4DWn-0w&s=C29tmT6W1Q7kgaCvUs538DBYLwmQgE7nsUkJJBOrCUc&e= 
*Order Full Text [ ]

Title:
Factors affecting number of *citations*: a comprehensive review of the literature

Authors:
Tahamtan, I; Afshar, AS; Ahamdzadeh, K

Author Full Names:
Tahamtan, Iman; Afshar, Askar Safipour; Ahamdzadeh, Khadijeh

Source:
SCIENTOMETRICS, 107 (3):1195-1225; 10.1007/s11192-016-1889-2 JUN 2016 

Language:
English

Document Type:
Review

Author Keywords:
Citations, Impact factor, Determinant factors, Predictive factors, Citation characterization, Citation analysis

KeyWords Plus:
JOURNAL IMPACT FACTORS; OPEN ACCESS JOURNALS; HIGHLY CITED PAPERS; SUBSEQUENT CITATIONS; RESEARCH ARTICLES; SELF-CITATION; INTERNATIONAL-RELATIONS; PERSONALITY PSYCHOLOGY; RESEARCH COLLABORATION; SCIENTIFIC PAPERS

Abstract: 
The majority of academic papers are scarcely cited while a few others
are highly cited. A large number of studies indicate that there are many
factors influencing the number of citations. An actual review is missing
that provides a comprehensive review of the factors predicting the
frequency of citations. In this review, we performed a search in WoS,
Scopus, PubMed and Medline to retrieve relevant papers. In overall, 2087
papers were retrieved among which 198 relevant papers were included in
the study. Three general categories with twenty eight factors were
identified to be related to the number of citations: Category one:
"paper related factors": quality of paper; novelty and interest of
subject; characteristics of fields and study topics; methodology;
document type; study design; characteristics of results and discussion;
use of figures and appendix in papers; characteristics of the titles and
abstracts; characteristics of references; length of paper; age of paper;
early citation and speed of citation; accessibility and visibility of
papers. Category two: "journal related factors": journal *impact
factor*; language of journal; scope of journal; form of publication.
Category three: "author(s) related factors": number of authors; author's
reputation; author's academic rank; self-citations; international and
national collaboration of authors; authors' country; gender, age and
race of authors; author's productivity; organizational features; and
funding. Probably some factors such as the quality of the paper, journal
*impact factor*, number of authors, visibility and international
cooperation are stronger predictors for citations, than authors' gender,
age and race; characteristics of results and discussion and so on.

Reprint Address:
Afshar, AS (reprint author), Hamadan Univ Med Sci, Sch Paramed, Dept Med Lib & Informat Sci, Hamadan, Iran.

Addresses:
[Tahamtan, Iman; Ahamdzadeh, Khadijeh] Hormozgan Univ Med Sci, Med Lib & Informat Sci, Hlth Informat Management Res Ctr, Bandar Abbas, Iran. 
[Afshar, Askar Safipour] Hamadan Univ Med Sci, Sch Paramed, Dept Med Lib & Informat Sci, Hamadan, Iran. 
[Ahamdzadeh, Khadijeh] Hormozgan Univ Med Sci, Med Lib & Informat Sci, Students Res Comm, Bandar Abbas, Iran. 

E-mail Addresses:
asafshar63 at gmail.com

Funding Acknowledgement:
Health Management Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

Funding Text:
Authors very much appreciate professor Lutz Bornmann, a sociologist of Science at the Division for Science and Innovation Studies in the Administrative Headquarters of the Max Planck Society in Munich (Germany) for his valuable comments on the manuscript and his helps for improving the paper. This research was supported by the Health Management Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.

Cited Reference Count:
202

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:
DM3VB

Unique ID: 
WOS:000376273700014

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*Record 42 of 75. Search terms matched: JOURNALS(1)
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Title:
How to normalize Twitter counts? A first attempt based on *journals* in the Twitter Index

Authors:
Bornmann, L; Haunschild, R

Author Full Names:
Bornmann, Lutz; Haunschild, Robin

Source:
SCIENTOMETRICS, 107 (3):1405-1422; 10.1007/s11192-016-1893-6 JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Twitter counts, Twitter percentiles, Twitter Index, Altmetrics

KeyWords Plus:
CITATION INDICATORS; ALTERNATIVE METRICS; IMPACT INDICATORS; SOCIETAL IMPACT; ALTMETRICS; UNIVERSALITY; FAIRNESS; TWEETS

Abstract: 
One possible way of measuring the broad impact of research (societal
impact) quantitatively is the use of alternative metrics (altmetrics).
An important source of altmetrics is Twitter, which is a popular
microblogging service. In bibliometrics, it is standard to normalize
citations for cross-field comparisons. This study deals with the
normalization of Twitter counts (TC). The problem with Twitter data is
that many papers receive zero tweets or only one tweet. In order to
restrict the impact analysis on only those journals producing a
considerable Twitter impact, we defined the Twitter Index (TI)
containing journals with at least 80 % of the papers with at least 1
tweet each. For all papers in each TI journal, we calculated normalized
Twitter percentiles (TP) which range from 0 (no impact) to 100 (highest
impact). Thus, the highest impact accounts for the paper with the most
tweets compared to the other papers in the journal. TP are proposed to
be used for cross-field comparisons. We studied the field-independency
of TP in comparison with TC. The results point out that the TP can
validly be used particularly in biomedical and health sciences, life and
earth sciences, mathematics and computer science, as well as physical
sciences and engineering. In a first application of TP, we calculated
percentiles for countries. The results show that Denmark, Finland, and
Norway are the countries with the most tweeted papers (measured by TP).

Reprint Address:
Bornmann, L (reprint author), Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany.

Addresses:
[Bornmann, Lutz] Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany. 
[Haunschild, Robin] Max Planck Inst Solid State Res, Heisenbergstr 1, D-70569 Stuttgart, Germany. 

E-mail Addresses:
bornmann at gv.mpg.de; R.Haunschild at fkf.mpg.de

Cited Reference Count:
42

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:
DM3VB

Unique ID: 
WOS:000376273700025

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*Record 45 of 75. Search terms matched: SCIENTOMETRIC(1)
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Title:
The correlation among Y-index and other *scientometric* indicators

Authors:
Shekofteh, M; Mohseny, M; Shahbodaghi, A; Zayeri, F; Rahimi, F

Author Full Names:
Shekofteh, Maryam; Mohseny, Maryam; Shahbodaghi, Azam; Zayeri, Farid;
Rahimi, Forough

Source:
CURRENT SCIENCE, 110 (9):1823-1828; 10.18520/cs/v110/i9/1823-1828 MAY 10 2016 

Language:
English

Document Type:
Article

Author Keywords:
Average citations, h-index, Iran, medical universities, scientific publications, Y-index

KeyWords Plus:
SCIENCE-CITATION-INDEX; TOP-CITED ARTICLES; SCIENTIFIC COLLABORATION; BIBLIOMETRIC ANALYSIS; PERFORMANCE; UNIVERSITIES; PUBLICATIONS; AUTHORSHIP; QUALITY; CHINA

Abstract: 
Scientometric analysis of research outputs is important in universities
for research evaluation as it provides necessary inputs for decision
makers. Common scientometric indicators are the number of publications,
average citation per document, h-index and the number of authors.
Y-index is also an indicator considering both the quantity and quality
of scientific products, based on first author and corresponding author
publications. This study aims at determining these indicators in
first-grade universities of medical sciences in Iran and investigating
the correlation among Y-index and other mentioned indices, and
comparison between Y-index and h-index. The population under study
comprised of all scientific productions of fourteen top universities of
medical sciences in Iran, indexed in Web of Science in 2012 (7435
documents). The Tehran University of Medical Sciences is ranked first
considering five indicators under investigation. A significant positive
relationship was obtained among Y-index with the number of publications,
the number of authors, and h-index. This indicates that Y-index can be a
potential proper index, for qualitative and quantitative evaluation of
universities along with other scientific and research institutions.

Reprint Address:
Shekofteh, M (reprint author), Shahid Beheshti Univ Med Sci, Fac Paramed Sci, Dept Med Lib & Informat Sci, Tehran, Iran.

Addresses:
[Shekofteh, Maryam; Mohseny, Maryam; Shahbodaghi, Azam; Zayeri, Farid; Rahimi, Forough] Shahid Beheshti Univ Med Sci, Fac Paramed Sci, Dept Med Lib & Informat Sci, Tehran, Iran. 

E-mail Addresses:
shekofteh_m at yahoo.com

Cited Reference Count:
36

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:
DM1FJ

Unique ID: 
WOS:000376090500038

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Title:
Rebuttal to: "A *bibliometric* review on carbon cycling research during 1993-2013" by Zhi et al. (Environ Earth Sci 2015, 74(7): 6065-6075)

Authors:
Ho, YS

Author Full Names:
Ho, Yuh-Shan

Source:
ENVIRONMENTAL EARTH SCIENCES, 75 (9):10.1007/s12665-016-5645-y MAY 2016 

Language:
English

Document Type:
Editorial Material

Author Keywords:
Excel, Keywords, Frequency, Trends, Simulations, Double Y Axis

KeyWords Plus:
SCIENCE-CITATION-INDEX; RESEARCH TRENDS

Abstract: 
A research paper's contribution exists not only in its originality and
creativity but also in its continuity and development for research that
follows. The reference section can play a key role to researchers who
are interested in a paper's statement or who would like to follow the
study or find useful information from the paper. This section is as
important as the core of a paper; however, it was easily to be ignored
by the author. This comment offered information for citing original idea
of methods, figures, and tables which Zhi et al. (Environ Earth Sci
74(7): 6065-6075, 2015) used. It is also suggested that an author not
only must be creative but also must be careful while writing in order to
publish more valuable and papers more worthy of reading.

Reprint Address:
Ho, YS (reprint author), Asia Univ, Trend Res Ctr, Taichung 41354, Taiwan.

Addresses:
[Ho, Yuh-Shan] Asia Univ, Trend Res Ctr, Taichung 41354, Taiwan. 

E-mail Addresses:
ysho at asia.edu.tw

Cited Reference Count:
12

Times Cited:
0

Publisher:
SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA

ISSN:
1866-6280

eISSN:
1866-6299

Article Number:
819

Web of Science Categories:
Environmental Sciences; Geosciences, Multidisciplinary; Water Resources

Research Areas:
Environmental Sciences & Ecology; Geology; Water Resources

IDS Number:
DM0JK

Unique ID: 
WOS:000376030100095

Cited References: 
Zhang Weiwei, 2009, SCIENTOMETRICS, V80, P305
Ho Yuh-Shan, 2014, INDUSTRIAL CROPS AND PRODUCTS, V52, P17
Li Jinfeng, 2009, CROATICA CHEMICA ACTA, V82, P695
Chiu WT, 2005, SCIENTOMETRICS, V63, P3
Li Ling-li, 2009, SCIENTOMETRICS, V80, P39
Xie Shaodong, 2008, SCIENTOMETRICS, V77, P113
Katz JS, 1997, SCIENTOMETRICSProceedings of the Erasmus Workshop on Quantitative Approaches to Science and Technology Studies, MAY 21-24, 1996, AMSTERDAM, NETHERLANDS, V38, P141
Zhi Wei, 2015, ENVIRONMENTAL EARTH SCIENCES, V74, P6065
Fu Hui-Zhen, 2013, SCIENCE OF THE TOTAL ENVIRONMENT, V443, P757
Mao Ning, 2010, HUMAN AND ECOLOGICAL RISK ASSESSMENT, V16, P801
Ho Yuh-Shan, 2010, INTERNAL MEDICINE, V49, P2219
Wang Ming-Huang, 2010, SCIENTOMETRICS, V84, P813

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Title:
Chinese research status in emergency medicine *journals*: a *bibliometric* analysis based on *Science Citation Index* Expanded database

Authors:
Shao, JF; Ying, XW; Shen, HY

Author Full Names:
Shao, Ju-Fang; Ying, Xiang-Wei; Shen, Hui-Yun

Source:
SIGNA VITAE, 11 (1):103-120; MAY 2016 

Language:
English

Document Type:
Article

Author Keywords:
emergency medicine, china, bibliometric, science citation index expanded, research

KeyWords Plus:
RESUSCITATION; ALKALOIDS; TRENDS; SHOCK

Abstract: 
Background. Emergency medicine in China has undergone tremendous growth.
This study was conducted to evaluate the Chinese scientific output on
emergency medicine in Science Citation Index Expanded (SCIE) in the Web
of Science during the period of 2000-2013.
Methods. A bibliometric analysis was applied in this study. Articles
published by China in SCIE emergency medicine journals were included.
They were analyzed in terms of publication outputs, document type,
language of publication, journals, countries/territories, institutions,
and collaboration patterns. Distributions of article titles and keywords
were also studied to reveal research focuses and trends.
Results. During the period, a total of 1043 articles from China were
published in SCIE emergency medicine journals. Seven documents types
were found, and the journal article was the most frequently used. All
articles were written in English. The Hong Kong Journal of Emergency
Medicine is the most productive journal. The most productive institutes
were Prince Wales Hospital, followed by Tuen Mun Hospital, Chinese
University Hong Kong; USA dominated the collaborative countries. The
"injury/injuries'', "trauma'', "acute", "rat/rats", "arrest",
"emergency'', and "cardiopulmonary'', "resuscitation'' were the hot
spots of emergency medicine research in China.
Conclusion. The results map emergency medicine ( EM) development and
research trends in China, and potentially guide Chinese EM physicians in
evaluating and orienting their research.

Reprint Address:
Shao, JF (reprint author), Zhejiang Univ, Sch Med, Affiliated Hosp 2, World Journal Emergency Med, 88 Jiefang Rd, Hangzhou 310009, Zhejiang, Peoples R China.

Addresses:
[Shao, Ju-Fang] Zhejiang Univ, Sch Med, Affiliated Hosp 2, Editorial Off World Journal Emergency Med, Hangzhou 310003, Zhejiang, Peoples R China. 
[Ying, Xiang-Wei] Inst Sci & Tech Informat Zhejiang Prov, Hangzhou, Zhejiang, Peoples R China. 
[Shen, Hui-Yun] Zhejiang Univ, Sch Med, Affiliated Hosp 2, Editorial Off Chinese Journal Emergency Med, Hangzhou 310003, Zhejiang, Peoples R China. 

E-mail Addresses:
nancysjf at 163.com

Cited Reference Count:
24

Times Cited:
0

Publisher:
PHARMAMED MADO LTD, ZATISJE 8 G, ZAGREB, 10000, CROATIA

ISSN:
1334-5605

Web of Science Categories:
Emergency Medicine

Research Areas:
Emergency Medicine

IDS Number:
DM2QI

Unique ID: 
WOS:000376191200007

Cited References: 
Wang M. H., 2011, Archives of Environmental Science, V5, P1
CHEN HH, 1980, RESUSCITATION, V8, P195
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Title:
*Bibliometric* analysis of research in international construction

Authors:
Gundes, S; Aydogan, G

Author Full Names:
Gundes, Selin; Aydogan, Guzin

Source:
CANADIAN JOURNAL OF CIVIL ENGINEERING, 43 (4):304-311; 10.1139/cjce-2015-0127 APR 2016 

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics, international construction, research trends, reviews

KeyWords Plus:
ANALYTIC NETWORK PROCESS; JOINT VENTURES; RISK-ASSESSMENT; RESEARCH TREND; PROJECTS; PERFORMANCE; CONTRACTORS; MARKET; MODEL; JOURNALS

Abstract: 
There has been increasing interest in international construction since
the late 1990s due to growing competition in global markets. A
bibliometric analysis of international construction research is
conducted to evaluate the trends and to map the productivity in the
field. Using the Scopus database from 2003 to 2013; document type,
research performance of leading journals and authors, geographic and
institutional distribution of research is assessed. The core and sub
topics of the literature is also analyzed to determine critical themes
in international construction. Results reveal that (1) risk management,
(2) measuring performance, (3) general strategy and (or)
competitiveness, and (4) foreign market entry decision are the top four
core themes in international construction research. The fluctuations in
the number of papers in different subject categories reflect the new
tendency in international construction debate, which emphasizes a shift
from measuring performance themes to general strategy and (or)
competitiveness and foreign market entry decision in international
construction.

Reprint Address:
Gundes, S (reprint author), Mimar Sinan Fine Arts Univ, Dept Architecture, Istanbul, Turkey.

Addresses:
[Gundes, Selin] Mimar Sinan Fine Arts Univ, Dept Architecture, Istanbul, Turkey. 
[Aydogan, Guzin] Mimar Sinan Fine Arts Univ, Dept Interior Architecture, Istanbul, Turkey. 

E-mail Addresses:
sgundes at libero.it

Cited Reference Count:
72

Times Cited:
0

Publisher:
CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS, 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA

ISSN:
0315-1468

eISSN:
1208-6029

Web of Science Categories:
Engineering, Civil

Research Areas:
Engineering

IDS Number:
DL9EH

Unique ID: 
WOS:000375943800003

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Title:
THE *BIBLIOMETRIC* IMPACT OF MOOC MOVEMENT IN THE SPANISH SCIENTIFIC COMMUNITY

Authors:
Gomez, IA; Vazquez-Cano, E; Lopez-Meneses, E

Author Full Names:
Aguaded Gomez, Ignacio; Vazquez-Cano, Esteban; Lopez-Meneses, Eloy

Source:
EDUCACION XX1, 19 (2):77-103; 10.5944/educXX1.13217 2016 

Language:
Spanish

Document Type:
Article

Author Keywords:
MOOCs, bibliometric study, impact, scientific production, Spanish journals

Abstract: 
Spain was in 2013 the leading European country in MOOC course offerings
and is in a leading position worldwide in the number of massive courses
offered in 2014 This prolific activity is being transferred to the
educational and scientific world in the form of posts in blogs, social
networks and web pages, as well as scientific papers and books that
attempt to analyze the movement from different methodological
approaches. To date there is not any research that analyzes the
bibliometric impact of MOOC movement in the Spanish scientific
community. Therefore the objective of this research is to perform a
bibliometric study of the scientific impact in the form of scientific
article or research book in journals and Spanish publishers from January
2010 to June 2014. The study was approached from a descriptive and
quantitative methodology taking as reference bibliometric indicators of
production, number of citations, and indicators of visibility according
to their impact on different databases: Wos / Social Science Citation
Index, Scopus, In-Recs, Google Scholar and categorization of Spanish
scientific journals (ANEP / FECYT). The results show that the impact of
the Spanish scientific production in form of book and scientific article
in prestigious international databases (Wos-SSCI / Scopus) is very low,
although the national impact categorization according to ANEP / FECYT
and In-Recs is moderately high.

Reprint Address:
Gomez, IA (reprint author), Univ Huelva, Fac Educ, Campus Univ El Carmen, Huelva 21071, Spain.Vazquez-Cano, E (reprint author), Univ Nacl Educ Distancia, Fac Educ, C Juan del Rosal 14, E-28040 Madrid, Spain.Lopez-Meneses, E (reprint author), Univ Pablo Olavide, Fac Ciencias Sociales, Ctra Utrera,Km 1, Seville 41013, Spain.

Addresses:
[Aguaded Gomez, Ignacio] Univ Huelva, Fac Educ, Campus Univ El Carmen, Huelva 21071, Spain. 
[Vazquez-Cano, Esteban] Univ Nacl Educ Distancia, Fac Educ, C Juan del Rosal 14, E-28040 Madrid, Spain. 
[Lopez-Meneses, Eloy] Univ Pablo Olavide, Fac Ciencias Sociales, Ctra Utrera,Km 1, Seville 41013, Spain. 

E-mail Addresses:
ignacio at aguaded.es; evazquez at edu.uned.es; elopmen at upo.es

Cited Reference Count:
41

Times Cited:
0

Publisher:
UNIV NACIONAL EDUCACION DISTANCIA, PO SENDA REY,BRAVO MURILLO 38, MADRID, 7-28040, SPAIN

ISSN:
1139-613X

eISSN:
2174-5374

Web of Science Categories:
Education & Educational Research

Research Areas:
Education & Educational Research

IDS Number:
DL8MD

Unique ID: 
WOS:000375895200004

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Eaton J., 2012, Education Council for Higher Education Accreditation, V9, 

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Title:
Text mining and similarity search using extended tri-gram algorithm in the reference based local repository dataset

Authors:
Kumar, R; Tripathi, RC

Author Full Names:
Kumar, Ranjeet; Tripathi, R. C.

Edited by:
Snasel V; Alancar M; Jeloneck D; Salem AB; Valanderau L; Saleh Y; Kumar S; Theodoutou E

Source:
INTERNATIONAL CONFERENCE ON COMMUNICATIONS, MANAGEMENT, AND INFORMATION TECHNOLOGY (ICCMIT'2015), 65 911-919; 10.1016/j.procs.2015.09.062 2015 

Book Series:
Procedia Computer Science

Language:
English

Document Type:
Proceedings Paper

Conference Title:
International Conference on Communications, Management, and Information Technology (ICCMIT)

Conference Date:
APR 20-22, 2015

Conference Location:
Prague, CZECH REPUBLIC

Author Keywords:
Reference Search, Trigram Technique, Local Repository Search, Textual Similarity Search, Textual Plagiarism

KeyWords Plus:
LITERATURE SCIENCE; CITATION ANALYSIS

Abstract: 
In the emerging technological scenario world is becoming a digital hub
where data is easily accessible on the internet. Who take into
consideration the academic and research & development fields, the
digital resources become more important. Academic research and their
publications in current environment can be easily accessed through
internet. Easy availability of such result work attracts academic
literature dishonesty or plagiarism. Many of the research papers
published in the several Conference proceedings and Journals may have
some percentage of plagiarized contents. At the same time, the author(s)
may cite irrelated references in the research paper. In the present
research paper, a reference based extended trigram approach has been
report check the textual plagiarism of the text written in the research
papers. References form the pivotal part of any research paper
dissertation which defines the area of research and the state of the art
of the research based on which originality of contribution is adjudged.
The present article also discusses the behavior of the referencing in
three major research categories Research papers, Master Dissertations,
and the Doctoral Dissertations.

Reprint Address:
Kumar, R (reprint author), Indian Inst Informtat Technol, Allahabad, Uttar Pradesh, India.

Addresses:
[Kumar, Ranjeet; Tripathi, R. C.] Indian Inst Informtat Technol, Allahabad, Uttar Pradesh, India. 

E-mail Addresses:
ranjeet at iiita.ac.in

Cited Reference Count:
21

Times Cited:
0

Publisher:
ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS

ISSN:
1877-0509

Web of Science Categories:
Computer Science, Theory & Methods; Engineering, Electrical & Electronic

Research Areas:
Computer Science; Engineering

IDS Number:
BE6BU

Unique ID: 
WOS:000373831000103

Cited References: 
MACROBERTS MH, 1988, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V39, P432
Kumar Ranjeet, 2014, 4th IEEE International Conference on Communication Systems and Network Technologies (CSNT), 7-9 April, 2014, P387
Martin BR, 1996, SCIENTOMETRICS, V36, P343
Kostoff R.N., 2007, Critical Reviews in Microbiology, V33, P181
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MacRoberts MH, 1997, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V48, P274
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Nanba H., 1999, Proceedings of the International Joint Conferences on Artificial Intelligence (IJCAI-99), P926
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Bergmark D., Technical Report CSTR2000-1821, 
Ranjeet Kumar, R.C., 2013, Interna Journal of Advanced Science and Technology, V56, P99
MACROBERTS MH, 1987, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V38, P305
Councill I. G., 2008, Proceedings of Lan Resources and Evaluation Conference, 
MacRoberts MH, 1996, SCIENTOMETRICS, V36, P435
Kostoff R.N, 2005, Science and technology transition metrics, 
SMALL H, 1973, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V24, P265
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Powley B., 2007, Proceedings of the 8th RIAO International Conference on Large-Scale Semantic Access to Content, 
MACROBERTS MH, 1989, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V40, P342

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Title:
Quantifying the changing role of past publications

Authors:
Orosz, K; Farkas, IJ; Pollner, P

Author Full Names:
Orosz, Katalin; Farkas, Illes J.; Pollner, Peter

Source:
SCIENTOMETRICS, 108 (2):829-853; 10.1007/s11192-016-1971-9 AUG 2016 

Language:
English

Document Type:
Article

Author Keywords:
Article co-citation network, Group dynamics, Tag extraction, Multidisciplinarity

KeyWords Plus:
ITEM SUBJECT CLASSIFICATION; SCIENTIFIC LITERATURES; COMMUNITY STRUCTURE; COMBINED COCITATION; WORD ANALYSIS; SCIENCE; NETWORKS; JOURNALS; MULTIDISCIPLINARY; SYSTEM

Abstract: 
Our current societies increasingly rely on electronic repositories of
collective knowledge. An archetype of these databases is the Web of
Science (WoS) that stores scientific publications. In contrast to
several other forms of knowledge-e.g., Wikipedia articles-a scientific
paper does not change after its "birth". Nonetheless, from the moment a
paper is published it exists within the evolving web of other papers,
thus, its actual meaning to the reader changes. To track how scientific
ideas (represented by groups of scientific papers) appear and evolve, we
apply a novel combination of algorithms explicitly allowing for papers
to change their groups. We (1) identify the overlapping clusters of the
undirected yearly co-citation networks of the WoS (1975-2008) and (2)
match these yearly clusters (groups) to form group timelines. After
visualizing the longest lived groups of the entire data set we assign
topic labels to all groups. We find that in the entire WoS
multidisciplinarity is clearly over-represented among cutting edge
ideas. In addition, we provide detailed examples for papers that (1)
change their topic labels and (2) move between groups.

Reprint Address:
Pollner, P (reprint author), Hungarian Acad Sci, MTA ELTE Stat & Biol Phys Res Grp, Pazmany Peter Setany 1-A, H-1117 Budapest, Hungary.

Addresses:
[Orosz, Katalin] Eotvos Lorand Univ, Reg Knowledge Ctr, Pazmany Peter Setany 1-A, H-1117 Budapest, Hungary. 
[Farkas, Illes J.; Pollner, Peter] Hungarian Acad Sci, MTA ELTE Stat & Biol Phys Res Grp, Pazmany Peter Setany 1-A, H-1117 Budapest, Hungary. 

E-mail Addresses:
pollner at angel.elte.hu

Funding Acknowledgement:
European Union; European Social Fund through the FuturICT.hu Project [TAMOP-4.2.2.C-11/1/KONV-2012-0013]; Hungarian National Science Fund [OTKA K105447]

Funding Text:
We thank Tama's Vicsek, Gergely Palla and Balint Toth for discussions and advice. This project was supported by the European Union and the European Social Fund through the FuturICT.hu Project (Grant ID: TAMOP-4.2.2.C-11/1/KONV-2012-0013) and the Hungarian National Science Fund (Grant ID: OTKA K105447).

Cited Reference Count:
43

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:
DQ6WJ

Unique ID: 
WOS:000379346000017

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Glanzel W, 1999, SCIENTOMETRICS7th Conference of the International-Society-for-Scientometrics-and-Informetrics, JUL 05-08, 1999, COLIMA, MEXICO, V46, P431

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Title:
Academic work A tale of essential tension between research and teaching

Authors:
Anforande

Author Full Names:
Anfoerande

Source:
SOCIOLOGISK FORSKNING, 53 (2):175-192; 2016 

Language:
English

Document Type:
Article

KeyWords Plus:
HIGHER-EDUCATION; SCIENCE; PRODUCTIVITY

Reprint Address:
Anforande (reprint author), Uppsala Univ, Dept Sociol, Uppsala, Sweden.

Addresses:
[Anfoerande] Uppsala Univ, Dept Sociol, Uppsala, Sweden. 

Cited Reference Count:
42

Times Cited:
0

Publisher:
SOCIOLOGISK FORSKNING, HOGSKOLAN I OREBRO, INST SAMHALLSVETENSKAP,, 701 82 OREBRO, SWEDEN

ISSN:
0038-0342

Web of Science Categories:
Sociology

Research Areas:
Sociology

IDS Number:
DQ7HP

Unique ID: 
WOS:000379377800005

Cited References: 
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Wuchty Stefan, 2007, SCIENCE, V316, P1036
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Title:
Intellectual structure of trust in business and management: a co-citation analysis

Authors:
Yang, KC

Author Full Names:
Yang, Keng-Chieh

Source:
ELECTRONIC LIBRARY, 34 (3):358-370; 10.1108/EL-07-2014-0121 2016 

Language:
English

Document Type:
Article

Author Keywords:
SSCI, Trust, Co-citation analysis, Business and management, ISI web of knowledge database

KeyWords Plus:
BUYER-SELLER RELATIONSHIPS; AUTHOR COCITATION; CITATION ANALYSIS; NETWORK ANALYSIS; COOPERATION; ALLIANCES; PARADIGMS; EVOLUTION; PATTERNS; TRENDS

Abstract: 
Purpose - In the past few decades, there has been a lot of literature
about trust research for business and management. However, few authors
have applied co-citation analysis.
Design/methodology/approach - Trust is one of the most discussed issues
in management, as it has proved to have an essential role in business
operations. In this study, all citation documents are included in
Thomson Reuters ISI Web of Knowledge database from 1992 to 2010.
Findings - By using statistics analysis including factor analysis,
cluster analysis and multidimensional scaling, researchers identified
four domains, including organizational behaviour, strategic alliance,
marketing and social capital. Directions for future research are
discussed.
Originality/value - This study is the first to apply co-citation
techniques in the fields of trust. Therefore, the major contribution of
this study is to provide an intellectual structure and trends within the
field of trust from an objective and quantitative perspective.

Reprint Address:
Yang, KC (reprint author), Hwa Hsia Univ Technol, Dept Informat Management, New Taipei, Taiwan.

Addresses:
[Yang, Keng-Chieh] Hwa Hsia Univ Technol, Dept Informat Management, New Taipei, Taiwan. 

E-mail Addresses:
andesyoung.tw at gmail.com

Funding Acknowledgement:
Ministry of Science and Technology, Taiwan [NSC 99-2410-H-146-003, MOST 104-2410-H-146-001]

Funding Text:
This research was partially supported by Ministry of Science and Technology, Taiwan. Research grant no. NSC 99-2410-H-146-003 and MOST 104-2410-H-146-001.

Cited Reference Count:
42

Times Cited:
0

Publisher:
EMERALD GROUP PUBLISHING LTD, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND

ISSN:
0264-0473

eISSN:
1758-616X

Web of Science Categories:
Information Science & Library Science

Research Areas:
Information Science & Library Science

IDS Number:
DR2ZD

Unique ID: 
WOS:000379771500001

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Title:
On the shoulders of giants: undertaking a structured literature review in accounting

Authors:
Massaro, M; Dumay, J; Guthrie, J

Author Full Names:
Massaro, Maurizio; Dumay, John; Guthrie, James

Source:
ACCOUNTING AUDITING & ACCOUNTABILITY JOURNAL, 29 (5):767-801; 10.1108/AAAJ-01-2015-1939 2016 

Language:
English

Document Type:
Review

Author Keywords:
Citation analysis, Validity, Reliability, Structured literature review, Critique, Traditional authorship literature review

KeyWords Plus:
INTELLECTUAL CAPITAL DISCLOSURE; KNOWLEDGE-MANAGEMENT; RESEARCH METHODOLOGY; SYSTEMATIC REVIEWS; CLASSICS; JOURNALS; ARTICLES; TRENDS; STATE

Abstract: 
Purpose - The purpose of this paper is to present a method for a
structured literature review (SLR). An SLR is a method for examining a
corpus of scholarly literature, to develop insights, critical
reflections, future research paths and research questions. SLRs are
common in scientific disciplines dominated by quantitative approaches,
but they can be adapted in accounting studies since quantitative and
qualitative approaches are commonly accepted.
Design/methodology/approach - A literature review, as a piece of
academic writing, must have a logical, planned structure. The authors
also argue it requires tests based on qualitative and quantitative
methods. Therefore, the authors describe ten steps for developing an
SLR.
Findings - The SLR method is a way that scholars can stand "on the
shoulders of giants" and provide insightful and impactful research that
is different to the traditional authorship approaches to literature
reviews.
Research limitations/implications - Traditional literature reviews can
have varied results because of a lack of rigour. SLRs use a process
that, through a set of rules, potentially offers less bias and more
transparency of the execution and measures and techniques of validation
and reliability.
Practical implications - SLRs provide an approach that can help
academics to discover under-investigated topics and methods, nurturing,
therefore, the development of new knowledge areas and research
approaches.
Originality/value - The paper presents accounting researchers with an
opportunity to develop insightful and publishable studies, and also
serves as a basis for developing future research agendas in the
accounting field. The authors advocate the SLR method especially to
higher degree research students and emerging scholars as a way of
potentially developing robust and defensible research agendas and
questions.

Reprint Address:
Dumay, J (reprint author), Macquarie Univ, Dept Accounting & Corp Governance, Sydney, NSW, Australia.

Addresses:
[Massaro, Maurizio] Univ Udine, Dept Econ Sci & Stat, Udine, Italy. 
[Dumay, John; Guthrie, James] Macquarie Univ, Dept Accounting & Corp Governance, Sydney, NSW, Australia. 

E-mail Addresses:
john.dumay at mq.edu.au

Cited Reference Count:
96

Times Cited:
0

Publisher:
EMERALD GROUP PUBLISHING LTD, HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND

ISSN:
0951-3574

eISSN:
1758-4205

Web of Science Categories:
Business, Finance

Research Areas:
Business & Economics

IDS Number:
DR2WE

Unique ID: 
WOS:000379763800003

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Title:
Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains

Authors:
Cuccurullo, C; Aria, M; Sarto, F

Author Full Names:
Cuccurullo, Corrado; Aria, Massimo; Sarto, Fabrizia

Source:
SCIENTOMETRICS, 108 (2):595-611; 10.1007/s11192-016-1948-8 AUG 2016 

Language:
English

Document Type:
Article

Author Keywords:
Performance management, Multiple correspondence analysis, Historiograph, Scientometrics

KeyWords Plus:
INTELLECTUAL STRUCTURE; BALANCED SCORECARD; ACCOUNTING INFORMATION; EXECUTIVE-COMPENSATION; MEASUREMENT SYSTEM; RESEARCH AGENDA; GOVERNMENT; EVOLUTION; SUBJECTIVITY; INCENTIVES

Abstract: 
Our paper analyses 25 years of performance management research published
in the English-language journals, included in SSCI database, separating
the business domain from public sector one. We used a content analysis
for showing the relationships between the subfields of performance
management and the time evolution. Through a multiple correspondence
analysis based on keywords we provide a framework to track this
literature over the 25-year period. We conclude the paper with a
discussion on future pathways in the performance management literature.

Reprint Address:
Cuccurullo, C (reprint author), Seconda Univ Napoli, Dept Econ & Management, Capua, CE, Italy.

Addresses:
[Cuccurullo, Corrado] Seconda Univ Napoli, Dept Econ & Management, Capua, CE, Italy. 
[Aria, Massimo] Univ Napoli Federico II, Dept Econ & Stat, Via Cintia, I-80126 Naples, Italy. 
[Sarto, Fabrizia] Univ Napoli Federico II, Dept Econ, Management, Via Cintia, I-80126 Naples, Italy. 

E-mail Addresses:
corrado.cuccurullo at unina2.it; massimo.aria at unina.it; fabrizia.sarto at unina.it

Cited Reference Count:
87

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:
DQ6WJ

Unique ID: 
WOS:000379346000006

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 Cited Article:    Goodman, A]]>. Ten Simple Rules for the Care and Feeding of Scientific Data]]>
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Title:
Ten Simple Rules for Effective Statistical Practice

Authors:
Kass, RE; Caffo, BS; Davidian, M; Meng, XL; Yu, B; Reid, N

Author Full Names:
Kass, Robert E.; Caffo, Brian S.; Davidian, Marie; Meng, Xiao-Li; Yu,
Bin; Reid, Nancy

Source:
PLOS COMPUTATIONAL BIOLOGY, 12 (6):10.1371/journal.pcbi.1004961 JUN 2016 

Language:
English

Document Type:
Editorial Material

Reprint Address:
Reid, N (reprint author), Univ Toronto, Dept Stat Sci, Toronto, ON, Canada.

Addresses:
[Kass, Robert E.] Carnegie Mellon Univ, Dept Stat, Machine Learning Dept, Pittsburgh, PA 15213 USA. 
[Kass, Robert E.] Carnegie Mellon Univ, Ctr Neural Basis Cognit, Pittsburgh, PA 15213 USA. 
[Caffo, Brian S.] Johns Hopkins Univ, Dept Biostat, Bloomberg Sch Publ Hlth, Baltimore, MD 21205 USA. 
[Davidian, Marie] N Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA. 
[Meng, Xiao-Li] Harvard Univ, Dept Stat, Cambridge, MA 02138 USA. 
[Yu, Bin] Univ Calif Berkeley, Dept Stat, Berkeley, CA 94720 USA. 
[Yu, Bin] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA. 
[Reid, Nancy] Univ Toronto, Dept Stat Sci, Toronto, ON, Canada. 

E-mail Addresses:
reid at utstat.utoronto.ca

Cited Reference Count:
21

Times Cited:
0

Publisher:
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA

ISSN:
1553-734X

eISSN:
1553-7358

Article Number:
e1004961

Web of Science Categories:
Biochemical Research Methods; Mathematical & Computational Biology

Research Areas:
Biochemistry & Molecular Biology; Mathematical & Computational Biology

IDS Number:
DQ6XN

Unique ID: 
WOS:000379349700037

PubMed ID:
27281180

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Title:
RPYS i/o: software demonstration of a web-based tool for the historiography and visualization of citation classics, sleeping beauties and research fronts

Authors:
Comins, JA; Leydesdorff, L

Author Full Names:
Comins, Jordan A.; Leydesdorff, Loet

Source:
SCIENTOMETRICS, 107 (3):1509-1517; 10.1007/s11192-016-1928-z JUN 2016 

Language:
English

Document Type:
Article

Author Keywords:
Reference Publication Year Spectroscopy, Multi-RPYS, Citation analysis, Algorithmic historiography, Bibliometrics

KeyWords Plus:
PUBLICATION YEAR SPECTROSCOPY; INDICATORS; IMPACT

Abstract: 
Reference Publication Year Spectroscopy (RPYS) and Multi-RPYS provide
algorithmic approaches to reconstructing the intellectual histories of
scientific fields. With this brief communication, we describe a
technical advancement for developing research historiographies by
introducing RPYS i/o, an online tool for performing standard RPYS and
Multi-RPYS analyses interactively (at https://urldefense.proofpoint.com/v2/url?u=http-3A__comins.leydesdorff.net_&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=OWIQRQ4W7bLiRzytBIXM0F-2RRHErDPHDOvKy4Kx9rY&s=urUiOTqadA5GIX4m7DvY0WzvtsoYPyo6Hf_PqFXPmlY&e= ).
The tool enables users to explore seminal works underlying a research
field and to plot the influence of these seminal works over time. This
suite of visualizations offers the potential to analyze and visualize
the myriad of temporal dynamics of scientific influence, such as
citation classics, sleeping beauties and the dynamics of research
fronts. We demonstrate the features of the tool by analyzing-as an
example-the references in documents published in the journal Philosophy
of Science.

Reprint Address:
Comins, JA (reprint author), Virginia Tech Appl Res Corp, Ctr Appl Informat Sci, Arlington, VA USA.

Addresses:
[Comins, Jordan A.] Virginia Tech Appl Res Corp, Ctr Appl Informat Sci, Arlington, VA USA. 
[Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, POB 15793, NL-1001 NG Amsterdam, Netherlands. 

E-mail Addresses:
jcomins at gmail.com; loet at leydesdorff.net

Cited Reference Count:
22

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:
DM3VB

Unique ID: 
WOS:000376273700033

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========================================================================
  
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Title:
Structure and Evolution of Mediterranean Forest Research: A Science Mapping Approach

Authors:
Nardi, P; Di Matteo, G; Palahi, M; Mugnozza, GS

Author Full Names:
Nardi, Pierfrancesco; Di Matteo, Giovanni; Palahi, Marc; Mugnozza,
Giuseppe Scarascia

Source:
PLOS ONE, 11 (5):10.1371/journal.pone.0155016 MAY 9 2016 

Language:
English

Document Type:
Article

KeyWords Plus:
TERRESTRIAL ECOSYSTEMS; RESEARCH PRIORITIES; RESEARCH TRENDS; KNOWLEDGE; MAPS

Abstract: 
This study aims at conducting the first science mapping analysis of the
Mediterranean forest research in order to elucidate its research
structure and evolution. We applied a science mapping approach based on
co-term and citation analyses to a set of scientific publications
retrieved from the Elsevier's Scopus database over the period 1980-2014.
The Scopus search retrieved 2,698 research papers and reviews published
by 159 peer-reviewed journals. The total number of publications was
around 1% (N = 17) during the period 1980-1989 and they reached 3% (N =
69) in the time slice 1990-1994. Since 1995, the number of publications
increased exponentially, thus reaching 55% (N = 1,476) during the period
2010-2014. Within the thirty-four years considered, the retrieved
publications were published by 88 countries. Among them, Spain was the
most productive country, publishing 44% (N = 1,178) of total
publications followed by Italy (18%, N = 482) and France (12%, N = 336).
These countries also host the ten most productive scientific
institutions in terms of number of publications in Mediterranean forest
subjects. Forest Ecology and Management and Annals of Forest Science
were the most active journals in publishing research in Mediterranean
forest. During the period 1980-1994, the research topics were poorly
characterized, but they become better defined during the time slice
1995-1999. Since 2000s, the clusters become well defined by research
topics. Current status of Mediterranean forest research (20092014) was
represented by four clusters, in which different research topics such as
biodiversity and conservation, land-use and degradation, climate change
effects on ecophysiological responses and soil were identified. Basic
research in Mediterranean forest ecosystems is mainly conducted by
ecophysiological research. Applied research was mainly represented by
land-use and degradation, biodiversity and conservation and fire
research topics. The citation analyses revealed highly cited terms in
the Mediterranean forest research as they were represented by fire,
biodiversity, carbon sequestration, climate change and global warming.
Finally, our analysis also revealed the multidisciplinary role of
climate change research. This study provides a first holistic view of
the Mediterranean forest research that could be useful for researchers
and policy makers as they may evaluate and analyze its historical
evolution, as well as its structure and scientific production. We
concluded that Mediterranean forest research represents an active
scientific field.

Reprint Address:
Nardi, P (reprint author), Consiglio Ric Agr & Anal Econ Agr, Res Unit Climatol & Meteorol Appl Agr, Rome, Italy.

Addresses:
[Nardi, Pierfrancesco; Di Matteo, Giovanni] Consiglio Ric Agr & Anal Econ Agr, Res Unit Climatol & Meteorol Appl Agr, Rome, Italy. 
[Palahi, Marc] European Forest Inst, Joensuu, Finland. 
[Mugnozza, Giuseppe Scarascia] Univ Tuscia, Dept Innovat Biol Agro Food & Forest Syst, Viterbo, Italy. 

E-mail Addresses:
pierfrancesco.nardi at entecra.it

Funding Acknowledgement:
Seventh Framework Programme [291832]

Funding Text:
This work was supported by Seventh Framework Programme, Grant Number: 291832.

Cited Reference Count:
34

Times Cited:
0

Publisher:
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA

ISSN:
1932-6203

Article Number:
e0155016

Web of Science Categories:
Multidisciplinary Sciences

Research Areas:
Science & Technology - Other Topics

IDS Number:
DM7YQ

Unique ID: 
WOS:000376576700030

PubMed ID:
27158823

Cited References: 
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Title:
Research-driven classification and ranking in higher education: an empirical appraisal of a Romanian policy experience

Authors:
Viiu, GA; Paunescu, M; Miroiu, A

Author Full Names:
Viiu, Gabriel-Alexandru; Paunescu, Mihai; Miroiu, Adrian

Source:
SCIENTOMETRICS, 107 (2):785-805; 10.1007/s11192-016-1860-2 MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Research evaluation, Higher education, Institutional classification, Institutional ranking, h-index, g-index

KeyWords Plus:
H-INDEX; BIBLIOMETRIC INDICATORS; UNIVERSITIES; DISCIPLINARY; INSTITUTIONS; SKEWNESS

Abstract: 
In this paper we investigate the problem of university classification
and its relation to ranking practices in the policy context of an
official evaluation of Romanian higher education institutions and their
study programs. We first discuss the importance of research in the
government-endorsed assessment process and analyze the evaluation
methodology and the results it produced. Based on official documents and
data we show that the Romanian classification of universities was
implicitly hierarchical in its conception and therefore also produced
hierarchical results due to its close association with the ranking of
study programs and its heavy reliance on research outputs. Then, using a
distinct dataset on the research performance of 1385 faculty members
working in the fields of political science, sociology and marketing we
further explore the differences between university categories. We find
that our alternative assessment of research productivity-measured with
the aid of Hirsch's (Proc Natl Acad Sci 102(46): 16569-16572, 2005)
h-index and with Egghe's (Scientometrics 69(1): 131-152, 2006)
g-index-only provides empirical support for a dichotomous classification
of Romanian institutions.

Reprint Address:
Viiu, GA (reprint author), Natl Sch Polit & Adm Studies, Dept Polit Sci, Povernei St 6, Bucharest 010643, Romania.

Addresses:
[Viiu, Gabriel-Alexandru; Paunescu, Mihai; Miroiu, Adrian] Natl Sch Polit & Adm Studies, Dept Polit Sci, Povernei St 6, Bucharest 010643, Romania. 

E-mail Addresses:
gabriel.viiu at yahoo.com

Funding Acknowledgement:
National Research Council [PN-II-ID-PCE-2011-3-0746]

Funding Text:
Financial support from the National Research Council (Grant Number PN-II-ID-PCE-2011-3-0746) is gratefully acknowledged by Gabriel Viiu and Adrian Miroiu. The authors would also like to express their gratitude for the helpful comments and suggestions provided to them during the anonymous peer review process, both for the original paper submitted for the 2015 ISSI conference as well as for the subsequent manuscript submitted to Scientometrics.

Cited Reference Count:
50

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:
DM3VA

Unique ID: 
WOS:000376273600026

Cited References: 
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Saroyan A., 2007, Higher Education Management and Policy, V19, P31
van Vught Frans, 2009, MAPPING THE HIGHER EDUCATION LANDSCAPE: TOWARDS A EUROPEAN CLASSIFICATION OF HIGHER EDUCATION, V28, P1
Schreiber Michael, 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P1513
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Garcia J. A., 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2328

========================================================================

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*Order Full Text [ ]

Title:
The relationship between authors' bibliographic coupling and citation exchange: analyzing disciplinary differences

Authors:
Gazni, A; Didegah, F

Author Full Names:
Gazni, Ali; Didegah, Fereshteh

Source:
SCIENTOMETRICS, 107 (2):609-626; 10.1007/s11192-016-1856-y MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Author bibliographic coupling, Citation impact, Imetrics

KeyWords Plus:
RESEARCH-FRONT; NORMATIVE THEORY; SCIENCE; COCITATION; PERSUASION; DOCUMENTS; EVOLUTION; NETWORKS

Abstract: 
Author bibliographic coupling (ABC) is extended from the 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 eighteen subject areas. The
results show that there is no significant difference in the associations
found across the subject areas. The correlation is positive and
significant between the two factors in all subject areas, although it is
stronger in some subject areas, such as Biomedical Engineering, than in
others. For a closer investigation of the association between
bibliographic coupling strength and citations exchanged between pairs of
authors and also of ABC networks, a sample of highly cited authors in
one of the subfields of Information Science & Library Science, imetrics,
was taken into account. The correlation is also highly significant among
imetricians. This finding confirms Merton's norm of universalism versus
constructivists' particularism. The investigation of thirty highly cited
imetricians shows that Thelwall, M is in strong bibliographic coupling
and citation relationships with the majority of the 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 relationships
with each other as well as other authors in the network.

Reprint Address:
Didegah, F (reprint author), Univ Turku, Res Unit Sociol Educ, Turku, Finland.

Addresses:
[Gazni, Ali] Reg Informat Ctr Sci & Technol, Shiraz, Iran. 
[Didegah, Fereshteh] Univ Turku, Res Unit Sociol Educ, Turku, Finland. 

E-mail Addresses:
ali.gazni at isc.gov.ir; fereshteh.didegah at utu.fi

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:
DM3VA

Unique ID: 
WOS:000376273600016

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Glanzel W, 1996, SCIENTOMETRICS, V37, P195

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Title:
A triangular 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

Source:
SCIENTOMETRICS, 107 (2):857-872; 10.1007/s11192-016-1870-0 MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Author productivity, Citation impact, Author identification, ResearcherID, Mathematical model

KeyWords Plus:
CHARACTERISTIC SCORES; SCIENTIFIC LITERATURE; PERFORMANCE; JOURNALS; SCALES; IMPACT

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.Glanzel, W (reprint author), Lib Hungarian Acad Sci, Dept Sci Policy & Scientometr, Budapest, Hungary.

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] Lib Hungarian Acad Sci, Dept Sci Policy & Scientometr, Budapest, Hungary. 

E-mail Addresses:
wolfgang.glanzel at kuleuven.be

Cited Reference Count:
21

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:
DM3VA

Unique ID: 
WOS:000376273600030

Cited References: 
Thijs B., 2014, Context counts: Pathways to master big and little dataProceedings of the STI Conference 2014, P616
PRICE D, 1976, INTERNATIONAL FORUM ON INFORMATION AND DOCUMENTATION, V1, P17
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GLANZEL W, 1988, JOURNAL OF INFORMATION SCIENCE, V14, P123

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Title:
Modeling time-dependent and -independent indicators to facilitate identification of breakthrough research papers

Authors:
Wolcott, HN; Fouch, MJ; Hsu, ER; DiJoseph, LG; Bernaciak, CA; Corrigan,
JG; Williams, DE

Author Full Names:
Wolcott, Holly N.; Fouch, Matthew J.; Hsu, Elizabeth R.; DiJoseph, Leo
G.; Bernaciak, Catherine A.; Corrigan, James G.; Williams, Duane E.

Source:
SCIENTOMETRICS, 107 (2):807-817; 10.1007/s11192-016-1861-1 MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Transformative research, Breakthrough prediction, Indicators, Co-author network metrics, Citation velocity

KeyWords Plus:
SCIENTIFIC LITERATURE; CITATION COUNTS; SCIENCE

Abstract: 
Research funding organizations invest substantial resources to monitor
mission-relevant research findings to identify and support promising new
lines of inquiry. To that end, we have been pursuing the development of
tools to identify research publications that have a strong likelihood of
driving new avenues of research. This paper describes our work towards
incorporating multiple time-dependent and -independent features of
publications into a model to identify candidate breakthrough papers as
early as possible following publication. We used multiple random forest
models to assess the ability of indicators to reliably distinguish a
gold standard set of breakthrough publications as identified by subject
matter experts from among a comparison group of similar Thomson Reuters
Web of Science (TM) publications. These indicators were then tested for
their predictive value in random forest models. Model parameter
optimization and variable selection were used to construct a final model
based on indicators that can be measured within 6 months
post-publication; the final model had an estimated true positive rate of
0.77 and false positive rate of 0.01.

Reprint Address:
Williams, DE (reprint author), UberResearch, Bethesda, MD 20814 USA.

Addresses:
[Wolcott, Holly N.; Fouch, Matthew J.; DiJoseph, Leo G.; Bernaciak, Catherine A.] Thomson Reuters, Intellectual Property & Sci, Rockville, MD 20850 USA. 
[Hsu, Elizabeth R.; Corrigan, James G.] NCI, Off Sci Planning & Assessment, Bethesda, MD 20892 USA. 
[Williams, Duane E.] UberResearch, Bethesda, MD 20814 USA. 

E-mail Addresses:
corrigan at mail.nih.gov; duane at uberresearch.com

Funding Acknowledgement:
NIH [HHS263201000058B]

Funding Text:
This study was improved by contributions from Danielle Daee (NCI); Di Cross, and Joshua Schnell (Thomson Reuters); and extends work by Ilya Ponomarev (formerly Thomson Reuters) and Charles Hackett (National Institutes of Allergy and Infectious Diseases). This work was supported in part by NIH contract #HHS263201000058B.

Cited Reference Count:
22

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:
DM3VA

Unique ID: 
WOS:000376273600027

Cited References: 
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Title:
iSEER: an intelligent automatic computer system for scientific evaluation of researchers

Authors:
Ebadi, A; Schiffauerova, A

Author Full Names:
Ebadi, Ashkan; Schiffauerova, Andrea

Source:
SCIENTOMETRICS, 107 (2):477-498; 10.1007/s11192-016-1852-2 MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Machine learning, Scientific output, Funding, Research performance, Scientific evaluation

KeyWords Plus:
RESEARCH COLLABORATION; BIOMEDICAL LITERATURE; RESEARCH PRODUCTIVITY; CITATION ANALYSIS; HIGHER-EDUCATION; IMPACT; UNIVERSITIES; PERFORMANCE; NETWORKS; DYNAMICS

Abstract: 
Funding is one of the crucial drivers of scientific activities. The
increasing number of researchers and the limited financial resources
have caused a tight competition among scientists to secure research
funding. On the other side, it is now even harder for funding allocation
organizations to select the most proper researchers. Number of
publications and citation counts based indicators are the most common
methods in the literature for analyzing the performance of researchers.
However, the mentioned indicators are highly correlated with the career
age and reputation of the researchers, since they accumulate over time.
This makes it almost impossible to evaluate the performance of a
researcher based on quantity and impact of his/her articles at the time
of the publication. This article proposes an intelligent machine
learning framework for scientific evaluation of researchers (iSEER).
iSEER may help decision makers to better allocate the available funding
to the distinguished scientists through providing fair comparative
results, regardless of the career age of the researchers. Our results
show that iSEER performs well in predicting the performance of the
researchers with high accuracy, as well as classifying them based on
collaboration patterns, research performance, and efficiency.

Reprint Address:
Ebadi, A (reprint author), Concordia Univ, CIISE, Montreal, PQ, Canada.

Addresses:
[Ebadi, Ashkan; Schiffauerova, Andrea] Concordia Univ, CIISE, Montreal, PQ, Canada. 
[Schiffauerova, Andrea] Masdar Inst Sci & Technol, Dept Engn Syst & Management, Abu Dhabi, U Arab Emirates. 

E-mail Addresses:
a_ebad at encs.concordia.ca

Cited Reference Count:
66

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:
DM3VA

Unique ID: 
WOS:000376273600009

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========================================================================

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Title:
Disentangling the automotive technology structure: a patent co-citation analysis

Authors:
Castriotta, M; Di Guardo, MC

Author Full Names:
Castriotta, Manuel; Di Guardo, Maria Chiara

Source:
SCIENTOMETRICS, 107 (2):819-837; 10.1007/s11192-016-1862-0 MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Patent co-citation analysis, Patent strategy, Technology structure, Technological positioning, Collective cognition

KeyWords Plus:
CO-WORD ANALYSIS; PEARSONS CORRELATION-COEFFICIENT; INTELLECTUAL STRUCTURE; COLLECTIVE COGNITION; SIMILARITY MEASURES; INDUSTRY STRUCTURE; INNOVATION; INFORMATION; FIELD; NANOTECHNOLOGY

Abstract: 
While most technological positioning studies were traditionally
addressed by comparing firms technological patents classes and
portfolios, only a few of them adopted science mapping patent
co-citation techniques and none of these seeks to understand the impact
of collective cognition on the technology structure of an entire
industry. What is the firms technological positioning landscape within
an high collective cognition sector? What is the groups technological
positioning evolution? How do technology structures shift according to
different economic scenarios? Through a strategic lens we contribute to
technology strategy literatures by proposing an invention behavior map
of automotive actors at a firm, groups and industry level. From Derwent
Innovation Index, about 581,000 patents, 1,309,356 citations and
1,287,594 co-citations relationships between (a) the main 49 firms
assignees of 1991-2013 and (b) the main 28 or 34 groups assignees by
considering three timespan 1991-1997, 1998-2004, 2005-2013, were
collected. Results: (1) most of the companies are located close
together, depicting the sector technology structure as highly dense; (2)
the market leaders do not coincide with technology production leaders
and not necessarily occupy central technological positions; (3) the
automotive groups considerably varies in the three timespan in terms of
position and composition; (4) the market leaders groups occupy
technological remoteness positions during economic growth timespan; (5)
the sector technology structure is highly dense during growth, strongly
scattered and lacking of technologically center positioned actors after
economic decline. Finally, strategic implications supporting central
locating or suburb R&D positioning planning and M&As recombinational
partners decision making are discussed.

Reprint Address:
Castriotta, M (reprint author), Univ Cagliari, Viale St Ignazio 73, I-09123 Cagliari, Italy.

Addresses:
[Castriotta, Manuel; Di Guardo, Maria Chiara] Univ Cagliari, Viale St Ignazio 73, I-09123 Cagliari, Italy. 

E-mail Addresses:
manuelcastriotta at gmail.com; diguardo at unica.it

Cited Reference Count:
68

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:
DM3VA

Unique ID: 
WOS:000376273600028

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Title:
Mapping the Knowledge Structure of Neonatal Hypoxic-Ischemic Encephalopathy Over the Past Decade: A Co-word Analysis Based on Keywords

Authors:
Huang, JC; Tang, J; Qu, Y; Zhang, L; Zhou, Y; Bao, S; Mu, DZ

Author Full Names:
Huang, Jichong; Tang, Jun; Qu, Yi; Zhang, Li; Zhou, Yan; Bao, Shan; Mu,
Dezhi

Source:
JOURNAL OF CHILD NEUROLOGY, 31 (6):797-803; 10.1177/0883073815615673 MAY 2016 

Language:
English

Document Type:
Review

Author Keywords:
neonate, hypoxic-ischemic encephalopathy, co-word analysis, social network analysis, etiology, treatment

KeyWords Plus:
PERINATAL ASPHYXIAL ENCEPHALOPATHY; WHOLE-BODY HYPOTHERMIA; RANDOMIZED-CONTROLLED-TRIAL; THERAPEUTIC HYPOTHERMIA; OUTCOMES; BRAIN; TERM; INJURY; SAFETY; MODEL

Abstract: 
The aim of this study was to analyze the knowledge structure and report
the evolution of hypoxic-ischemic encephalopathy research over the past
decade based on co-word analysis. Scientific publications focusing on
neonatal hypoxic-ischemic encephalopathy were searched from the Web of
Science database (January 2005 to December 2014). The keywords from
these articles were extracted, and a knowledge network based on these
keywords was built using Ucinet6.212 and NetDraw2.084 software. A total
of 1892 papers were included, and 39 high-frequency keywords were
defined. HIE and neonate located at the center of the knowledge network.
Etiology and pathogenesis, clinical manifestation, and therapy were
researched more widely in the network than other aspects of
hypoxic-ischemic encephalopathy. This co-word analysis provides an
overview of neonatal hypoxic-ischemic encephalopathy research and
suggests that the etiology, clinical manifestation, and therapy of
hypoxic-ischemic encephalopathy have become research cores over the past
decade.

Reprint Address:
Mu, DZ (reprint author), Sichuan Univ, West China Univ Hosp 2, Dept Pediat, Chengdu 610041, Peoples R China.

Addresses:
[Huang, Jichong; Tang, Jun; Qu, Yi; Zhang, Li; Zhou, Yan; Bao, Shan; Mu, Dezhi] Sichuan Univ, West China Univ Hosp 2, Dept Pediat, Chengdu 610041, Peoples R China. 
[Huang, Jichong; Tang, Jun; Qu, Yi; Zhang, Li; Zhou, Yan; Bao, Shan; Mu, Dezhi] Sichuan Univ, Key Lab Obstetr & Gynecol & Pediat Dis & Birth De, Minist Educ, Chengdu 610041, Peoples R China. 

E-mail Addresses:
mudz at scu.edu.cn

Funding Acknowledgement:
National Science Foundation of China [81330016, 31171020, 81300524, 81172174, 81270724, 81200462]; Ministry of Education of China [313037, 20110181130002]; State Commission of Science Technology of China [2012BAI04B04]; Science and Technology Bureau of Sichuan province [2014SZ0149]; Ministry of Health of China [1311200003303]

Funding Text:
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the National Science Foundation of China (Nos. 81330016, 31171020, 81300524, 81172174, 81270724, and 81200462), grants from the Ministry of Education of China (313037, 20110181130002), a grant from the State Commission of Science Technology of China (2012BAI04B04), grants from the Science and Technology Bureau of Sichuan province (2014SZ0149), and a grant of clinical discipline program (neonatology) from the Ministry of Health of China (1311200003303).

Cited Reference Count:
43

Times Cited:
0

Publisher:
SAGE PUBLICATIONS INC, 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA

ISSN:
0883-0738

eISSN:
1708-8283

Web of Science Categories:
Clinical Neurology; Pediatrics

Research Areas:
Neurosciences & Neurology; Pediatrics

IDS Number:
DJ6MK

Unique ID: 
WOS:000374327400016

PubMed ID:
26661482

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Title:
Benchmarking the scientific output of industrial wastewater research in Arab world by utilizing bibliometric techniques

Authors:
Zyoud, SH; Al-Rawajfeh, AE; Shaheen, HQ; Fuchs-Hanusch, D

Author Full Names:
Zyoud, Shaher H.; Al-Rawajfeh, Aiman E.; Shaheen, Hafez Q.;
Fuchs-Hanusch, Daniela

Source:
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 23 (10):10288-10300; 10.1007/s11356-016-6434-6 MAY 2016 

Language:
English

Document Type:
Article

Author Keywords:
Arab world, Benchmarking, Bibliometrics, Industrial wastewater, Scopus, h-index

KeyWords Plus:
PHOTOCATALYTIC DEGRADATION; METHYLENE-BLUE; COUNTRIES; SCIENCE; REMOVAL; REUSE; REMEDIATION; PERFORMANCE; TECHNOLOGY; TRENDS

Abstract: 
Rapid population growth, worsening of the climate, and severity of
freshwater scarcity are global challenges. In Arab world countries,
where water resources are becoming increasingly scarce, the recycling of
industrial wastewater could improve the efficiency of freshwater use.
The benchmarking of scientific output of industrial wastewater research
in the Arab world is an initiative that could support in shaping up and
improving future research activities. This study assesses the scientific
output of industrial wastewater research in the Arab world. A total of
2032 documents related to industrial wastewater were retrieved from 152
journals indexed in the Scopus databases; this represents 3.6 % of the
global research output. The h-index of the retrieved documents was 70.
The total number of citations, at the time of data analysis, was 34,296
with an average citation of 16.88 per document. Egypt, with a total
publications of 655 (32.2 %), was ranked the first among the Arab
countries followed by Saudi Arabia 300 (14.7 %) and Tunisia 297 (14.6
%). Egypt also had the highest h-index, assumed with Saudi Arabia, the
first place in collaboration with other countries. Seven hundred fifteen
(35.2 %) documents with 66 countries in Arab/non-Arab country
collaborations were identified. Arab researchers collaborated mostly
with researchers from France 239 (11.7 %), followed by the USA 127 (6.2
%). The top active journal was Desalination 126 (6.2 %), and the most
productive institution was the National Research Center, Egypt 169 (8.3
%), followed by the King Abdul-Aziz University, Saudi Arabia 75 (3.7 %).
Environmental Science was the most prevalent field of interest 930 (45.8
%). Despite the promising indicators, there is a need to close the gap
in research between the Arab world and the other nations. Optimizing the
investments and developing regional experiences are key factors to
promote the scientific research.

Reprint Address:
Zyoud, SH (reprint author), Graz Univ Technol, Inst Urban Water Management & Landscape Water Eng, Stremayrgasse 10-1, A-8010 Graz, Austria.

Addresses:
[Zyoud, Shaher H.; Fuchs-Hanusch, Daniela] Graz Univ Technol, Inst Urban Water Management & Landscape Water Eng, Stremayrgasse 10-1, A-8010 Graz, Austria. 
[Al-Rawajfeh, Aiman E.] Univ Jordan, Dept Chem Engn, Amman, Jordan. 
[Al-Rawajfeh, Aiman E.] Tafila Tech Univ, Dept Chem Engn, Tafila, Jordan. 
[Shaheen, Hafez Q.] An Najah Natl Univ, Dept Civil Engn, Nablus, Israel. 

E-mail Addresses:
shaherzyouds at gmail.com; aimanr at yahoo.com; shaheen at najah.edu; fuchs-hanusch at tugraz.at

Funding Acknowledgement:
Graz University of Technology

Funding Text:
Open access funding provided by Graz University of Technology.

Cited Reference Count:
75

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:
DM5WN

Unique ID: 
WOS:000376421400100

PubMed ID:
26996912

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Title:
State of the h5 indicator for Colombian engineering journals

Authors:
Pavas, A

Author Full Names:
Pavas, Andres

Source:
INGENIERIA E INVESTIGACION, 36 (1):3-5; APR 2016 

Language:
English

Document Type:
Editorial Material

Reprint Address:
Pavas, A (reprint author), Univ Nacl Colombia, Elect & Elect Engn Dept, Bogota, Colombia.Pavas, A (reprint author), Univ Nacl Colombia, Ingn & Invest Journal, Bogota, Colombia.

Addresses:
[Pavas, Andres] Univ Nacl Colombia, Elect & Elect Engn Dept, Bogota, Colombia. 
[Pavas, Andres] Univ Nacl Colombia, Ingn & Invest Journal, Bogota, Colombia. 

Cited Reference Count:
3

Times Cited:
0

Publisher:
UNIV NAC COLOMBIA, FAC INGENIERIA, CALLE 44, NO 45-67, UNIDAD CAMILO TORRES, BLOQUE B5, OFICINA 401, BOGOTA, 00000, COLOMBIA

ISSN:
0120-5609

Web of Science Categories:
Engineering, Multidisciplinary

Research Areas:
Engineering

IDS Number:
DM2II

Unique ID: 
WOS:000376169900001

Cited References: 
[Anonymous], 2015, 
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Publindex, 2014, Indice Bibliografico Nacional - IBN Publindex, 

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Title:
Comparison of document categorization process using key words and citations in a restricted knowledge domain

Authors:
Meireles, MRG; Cendon, BV; de Almeida, PEM

Author Full Names:
Gouvea Meireles, Magali Rezende; Cendon, Beatriz Valadares; Maciel de
Almeida, Paulo Eduardo

Source:
TRANSINFORMACAO, 28 (1):87-96; 10.1590/231808892016002800007 JAN-APR 2016 

Language:
Portuguese

Document Type:
Article

Author Keywords:
Citation analysis, Categories, Artificial inteligence, Information retrieval, Information representation

KeyWords Plus:
PATENT; CLASSIFICATION; ORGANIZATION; COCITATION

Abstract: 
The categorization process requires the extraction of representative
elements from a document so that its essence can be used to identify
similarities among documents and generate categories. The objective of
this study was to analyze the difficulties and results from two
different processes of document categorization in a restricted knowledge
domain. The first one was based on the use of keywords and the second
was based on the use of citations for document representation. To
illustrate the use of different attributes in document representation,
two experiments were conducted. The first one used a categorization
algorithm based on keywords. The second experiment generated categories,
using Artificial Neural Networks, from the citations of the articles. In
the restricted knowledge domain, as used in this study, it was difficult
to form groups that use keywords as attributes of the categorization
process due to the great similarity of keywords used by the authors. The
citations can be, as shown in the second experiment, an alternative and
more efficient attribute for the categorization process of these
documents. The formation of a set of articles with significant
bibliographic coupling and a strong semantic relationship validated the
method proposed. The article details the methodology used in the
experiments, showing the importance of careful pre-processing phase for
the reliability of the databases. This study may contribute to the
research related to the representation of documents in categorization
processes and information retrieval.

Reprint Address:
Meireles, MRG (reprint author), Pontificia Univ Catolica Minas Gerais, Inst Ciencias Exatas & Informat, Programa Posgrad Informat, R Walter Ianni 255, BR-31980110 Belo Horizonte, MG, Brazil.

Addresses:
[Gouvea Meireles, Magali Rezende] Pontificia Univ Catolica Minas Gerais, Inst Ciencias Exatas & Informat, Programa Posgrad Informat, R Walter Ianni 255, BR-31980110 Belo Horizonte, MG, Brazil. 
[Cendon, Beatriz Valadares] Univ Fed Minas Gerais, Escola Ciencia Informacao, Programa Posgrad Ciencia Informacao, Belo Horizonte, MG, Brazil. 
[Maciel de Almeida, Paulo Eduardo] Ctr Fed Educ Tecnol Minas Gerais, Dept Comp, Lab Sistemas Inteligentes, Belo Horizonte, MG, Brazil. 

E-mail Addresses:
magali at pucminas.br

Cited Reference Count:
31

Times Cited:
0

Publisher:
PONTIFICIA UNIVERSIDADE CATOLICA CAMPINAS, NUCLEO EDITORACAO SBI-CCV, CAMPUS II AV JOHN BOYD DUNLOP S-N PREDIO ONTOLOGIA JD IPAUSSURAMA, CAMPINAS, SP 13060-904, BRAZIL

ISSN:
0103-3786

Web of Science Categories:
Information Science & Library Science

Research Areas:
Information Science & Library Science

IDS Number:
DM5TA

Unique ID: 
WOS:000376411800008

Cited References: 
SMEATON AF, 1991, ONLINE REVIEW, V15, P373
Kajanan Sangaralingam, 2014, JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, V65, P1058
Andrade F. S., 2014, Transinformacao, V25, 
Fujii Atsushi, 2007, INFORMATION PROCESSING & MANAGEMENT, V43, P1149
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Hjorland Birger, 2008, KNOWLEDGE ORGANIZATION, V35, P86
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Title:
Study on the Evolutionary Analysis Method of the Scientific Research Theme Based on the Semantic Association Network

Authors:
Sun, W; Hao, XN; Zhang, XF

Author Full Names:
Sun, Wei; Hao, Xin-ning; Zhang, Xue-fu

Book Group Author(s):
Destech Publicat Inc

Source:
2015 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2015), 262-270; 2015 

Language:
English

Document Type:
Proceedings Paper

Conference Title:
International Conference on Control, Automation and Artificial Intelligence (CAAI)

Conference Date:
AUG 23-24, 2015

Conference Location:
Phuket, THAILAND

Author Keywords:
Evolution path, Evolution mode, Text clustering, Frontier science

Abstract: 
This paper proposed an evolutionary analysis method of the scientific
research theme based on the semantic association network. At first, we
introduced the semantic relation into the co-word network, and
established the time-sequencing semantic association network. Secondly,
we discovered the core themes of the semantic association networks in
all time periods with the text clustering method based on the improved
Newman fast algorithm, and drawn the thematic evolution paths, and then
recognized and analyzed the thematicevolution phenomenabased on the six
defined evolution patterns of scientific research theme. Finally, we
predicted the frontier hotspots according to the probability of the
subsequent thematic evolution patterns. The experiment based on the
English core periodical literature of the hybrid rice field from 1995 to
2012 shows that this method can reveal the thematic evolution phenomena
objectively and predicts frontier themes.

Reprint Address:
Sun, W (reprint author), Chinese Acad Agr Sci, Agr Informat Inst, Beijing 100081, Peoples R China.

Addresses:
[Sun, Wei; Hao, Xin-ning; Zhang, Xue-fu] Chinese Acad Agr Sci, Agr Informat Inst, Beijing 100081, Peoples R China. 

Cited Reference Count:
18

Times Cited:
0

Publisher:
DESTECH PUBLICATIONS, INC, 439 DUKE STREET, LANCASTER, PA 17602-4967 USA

ISBN:
978-1-60595-278-9

Web of Science Categories:
Automation & Control Systems; Computer Science, Artificial Intelligence; Operations Research & Management Science

Research Areas:
Automation & Control Systems; Computer Science; Operations Research & Management Science

IDS Number:
BE7JP

Unique ID: 
WOS:000375397000050

Cited References: 
Garfield E, 1994, Current Contents: Social & Behavioural Sciences, V7, P5
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Zhang Hongwei, 2013, Study on the Time-sequencing Theme Chain Construction Method based on the Scientific and Technical Literature, 
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[Anonymous], 2007, 
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Greene D., 2014, arXiv preprint arXiv:150204609, 
Wang Xiaoguang, 2013, J. Journal of the China Society for Scientific, P32
SMALL H, 1993, SCIENTOMETRICSEUROPEAN WORKSHOP ON SCIENTOMETRIC METHODS OF RESEARCH EVALUATION IN THE SCIENCES, SOCIAL SCIENCES AND TECHNOLOGY, APR 13-17, 1991, POTSDAM, GERMANY, V26, P5

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Title:
Diffusion of nanotechnology knowledge in Turkey and its network structure

Authors:
Darvish, H; Tonta, Y

Author Full Names:
Darvish, Hamid; Tonta, Yasar

Source:
SCIENTOMETRICS, 107 (2):569-592; 10.1007/s11192-016-1854-0 MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Country-level studies, Mapping and visualization, Social network analysis

KeyWords Plus:
SCIENTIFIC COLLABORATION; SCIENCE; NANOSCIENCE; PATTERNS

Abstract: 
This paper aims to assess the diffusion and adoption of nanotechnology
knowledge within the Turkish scientific community using social network
analysis and bibliometrics. We retrieved a total of 10,062 records of
nanotechnology papers authored by Turkish researchers between 2000 and
2011 from Web of Science and divided the data set into two 6-year
periods. We analyzed the most prolific and collaborative authors and
universities on individual, institutional and international levels based
on their network properties (e.g., centrality) as well as the
nanotechnology research topics studied most often by the Turkish
researchers. We used co-word analysis and mapping to identify the major
nanotechnology research fields in Turkey on the basis of the
co-occurrence of words in the titles of papers. We found that
nanotechnology research and development in Turkey is on the rise and its
diffusion and adoption have increased tremendously thanks to the Turkish
government's decision a decade ago identifying nanotechnology as a
strategic field and providing constant support since then. Turkish
researchers tend to collaborate within their own groups or universities
and the overall connectedness of the network is thus low. Their
publication and collaboration patterns conform to Lotka's law. They work
mainly on nanotechnology applications in Materials Sciences, Chemistry
and Physics, among others. This is commensurate, more or less, with the
global trends in nanotechnology research and development.

Reprint Address:
Darvish, H (reprint author), Kastamonu Univ, Dept Informat Management & Records, Kastamonu, Turkey.

Addresses:
[Darvish, Hamid] Kastamonu Univ, Dept Informat Management & Records, Kastamonu, Turkey. 
[Tonta, Yasar] Hacettepe Univ, Fac Letters, Dept Informat Management, TR-06800 Ankara, Turkey. 

E-mail Addresses:
hdervis at kastamonu.edu.tr; yasartonta at gmail.com

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:
DM3VA

Unique ID: 
WOS:000376273600014

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Title:
iSEER: an intelligent automatic computer system for scientific evaluation of researchers

Authors:
Ebadi, A; Schiffauerova, A

Author Full Names:
Ebadi, Ashkan; Schiffauerova, Andrea

Source:
SCIENTOMETRICS, 107 (2):477-498; 10.1007/s11192-016-1852-2 MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Machine learning, Scientific output, Funding, Research performance, Scientific evaluation

KeyWords Plus:
RESEARCH COLLABORATION; BIOMEDICAL LITERATURE; RESEARCH PRODUCTIVITY; CITATION ANALYSIS; HIGHER-EDUCATION; IMPACT; UNIVERSITIES; PERFORMANCE; NETWORKS; DYNAMICS

Abstract: 
Funding is one of the crucial drivers of scientific activities. The
increasing number of researchers and the limited financial resources
have caused a tight competition among scientists to secure research
funding. On the other side, it is now even harder for funding allocation
organizations to select the most proper researchers. Number of
publications and citation counts based indicators are the most common
methods in the literature for analyzing the performance of researchers.
However, the mentioned indicators are highly correlated with the career
age and reputation of the researchers, since they accumulate over time.
This makes it almost impossible to evaluate the performance of a
researcher based on quantity and impact of his/her articles at the time
of the publication. This article proposes an intelligent machine
learning framework for scientific evaluation of researchers (iSEER).
iSEER may help decision makers to better allocate the available funding
to the distinguished scientists through providing fair comparative
results, regardless of the career age of the researchers. Our results
show that iSEER performs well in predicting the performance of the
researchers with high accuracy, as well as classifying them based on
collaboration patterns, research performance, and efficiency.

Reprint Address:
Ebadi, A (reprint author), Concordia Univ, CIISE, Montreal, PQ, Canada.

Addresses:
[Ebadi, Ashkan; Schiffauerova, Andrea] Concordia Univ, CIISE, Montreal, PQ, Canada. 
[Schiffauerova, Andrea] Masdar Inst Sci & Technol, Dept Engn Syst & Management, Abu Dhabi, U Arab Emirates. 

E-mail Addresses:
a_ebad at encs.concordia.ca

Cited Reference Count:
66

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:
DM3VA

Unique ID: 
WOS:000376273600009

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Title:
Stopped sum models and proposed variants for citation data

Authors:
Low, WJ; Wilson, P; Thelwall, M

Author Full Names:
Low, Wan Jing; Wilson, Paul; Thelwall, Mike

Source:
SCIENTOMETRICS, 107 (2):369-384; 10.1007/s11192-016-1847-z MAY 2016 

Language:
English

Document Type:
Article; Proceedings Paper

Conference Title:
15th International Conference of the International-Society-for-Scientometrics-and-Informetrics (ISSI)

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:
Stopped sum models, Citation counts, Discretised lognormal, Negative binomial, AIC, Standard error

KeyWords Plus:
COUNT DATA; DISTRIBUTIONS; REGRESSION; SCIENCE

Abstract: 
It is important to identify the most appropriate statistical model for
citation data in order to maximise the potential of future analyses as
well as to shed light on the processes that may drive citations. This
article assesses stopped sum models and some variants and compares them
with two previously used models, the discretised lognormal and negative
binomial, using the Akaike Information Criterion (AIC). Based upon data
from 20 Scopus categories, some of the stopped sum variant models had
lower AIC values than the discretised lognormal models, which were
otherwise the best (with respect to AIC). However, very large standard
errors were returned for some of these variant models, indicating the
imprecision of the estimates and the impracticality of the approach.
Hence, although the stopped sum variant models show some promise for
citation analysis, they are only recommended when they fit better than
the alternatives and have manageable standard errors. Nevertheless,
their good fit to citation data gives evidence that two different, but
related, processes may drive citations.

Reprint Address:
Low, WJ (reprint author), Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England.

Addresses:
[Low, Wan Jing; Wilson, Paul; Thelwall, Mike] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England. 

E-mail Addresses:
W.J.Low at wlv.ac.uk; PaulJWilson at wlv.ac.uk; M.Thelwall at wlv.ac.uk

Cited Reference Count:
30

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:
DM3VA

Unique ID: 
WOS:000376273600005

Cited References: 
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Title:
The Most Cited Scholars in Five International Criminology Journals, 2006-10

Authors:
Cohn, EG; Iratzoqui, A

Author Full Names:
Cohn, Ellen G.; Iratzoqui, Amaia

Source:
BRITISH JOURNAL OF CRIMINOLOGY, 56 (3):602-623; 10.1093/bjc/azv048 MAY 2016 

Language:
English

Document Type:
Article

Author Keywords:
scholarly influence, citations, criminology, international

KeyWords Plus:
CRIMINAL-JUSTICE JOURNALS; AMERICAN CRIMINOLOGY; LEADING CRIMINOLOGY; CITATION COUNTS; CRIME; TEXTBOOKS; PSYCHOLOGY; PRODUCTIVITY; METAANALYSIS; EMINENCE

Abstract: 
The current article examines three elements of scholarly influence
comparing five major international criminology journals (BJC Canadian
Journal of Criminology and Criminal Justice, EJC -European Journal of
Criminology) from 2006 to 2010. David Garland (BJC), Robert J. Sampson
(CRIM and ANZ), Julian V. Roberts (CJC) and David P. Farrington (EJC)
had the most overall influence, with Sampson the most cited over the
five journals. Influence was both specialized, with some scholars having
one or two highly cited seminal works, and versatile, with others having
many different works cited several times each. The most cited works of
the most cited authors were on developmental and life-course criminology
and criminal careers.

Reprint Address:
Cohn, EG (reprint author), Florida Int Univ, Dept Criminal Justice, PCA 261A, Miami, FL 33199 USA.

Addresses:
[Cohn, Ellen G.] Florida Int Univ, Dept Criminal Justice, PCA 261A, Miami, FL 33199 USA. 
[Iratzoqui, Amaia] Univ Memphis, Dept Criminol & Criminal Justice, 311 McCord Hall, Memphis, TN 38152 USA. 

E-mail Addresses:
Ellen.Cohn at fiu.edu

Cited Reference Count:
67

Times Cited:
0

Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND

ISSN:
0007-0955

eISSN:
1464-3529

Web of Science Categories:
Criminology & Penology

Research Areas:
Criminology & Penology

IDS Number:
DM5JE

Unique ID: 
WOS:000376383900010

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Title:
What determines researchers' scientific impact? A case study of Quebec researchers

Authors:
Mirnezami, SR; Beaudry, C; Lariviere, V

Author Full Names:
Mirnezami, Seyed Reza; Beaudry, Catherine; Lariviere, Vincent

Source:
SCIENCE AND PUBLIC POLICY, 43 (2):262-274; 10.1093/scipol/scv038 APR 2016 

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics, science policy, citations, scientific publications, scientific impact

KeyWords Plus:
CITATION ANALYSIS; RESEARCH PERFORMANCE; RESEARCH COLLABORATION; RESEARCH PRODUCTIVITY; SEX-DIFFERENCES; QUALITY; UNIVERSITY; SCIENCE; QUANTITY; INDUSTRY

Abstract: 
Using a data set integrating information about researchers' funding and
publications in Quebec (Canada), this paper identifies the main
determinants of citation counts as one measure of research impact. Using
two-stage least square regressions to control for endogeneity, the
results confirm the significant and positive relationship between the
number of articles and citation counts. Our results also show that
scientists with more articles in higher impact factor journals generally
receive more citations and so do scientists who publish with a larger
team of authors. Hence the greater visibility provided by a more
prolific scientific production, better journals, and more co-authors,
all contribute to increasing the perceived impact of articles. All else
being equal, male and female receive the same number of citations. These
results suggest that the most important determinants of researchers'
citations are the journals in which they publish, as well the
collaborative nature of their research.

Reprint Address:
Beaudry, C (reprint author), Polytech Montreal, POB 6079, Montreal, PQ H3C 3A7, Canada.

Addresses:
[Mirnezami, Seyed Reza; Beaudry, Catherine] Polytech Montreal, POB 6079, Montreal, PQ H3C 3A7, Canada. 
[Lariviere, Vincent] Univ Montreal, POB 6128, Montreal, PQ H3C 3J7, Canada. 

E-mail Addresses:
catherine.beaudry at polymtl.ca

Funding Acknowledgement:
Canada research chair program; Social science and humanities research council of Canada (SSHRC) [435-2014-1757]

Funding Text:
We acknowledge funding from the Canada research chair program and the Social science and humanities research council of Canada (SSHRC grant number 435-2014-1757). We are grateful for the help of Carl St-Pierre for his advice on statistics and the Observatoire des sciences et des technologies for the data provided. All remaining errors are our own.

Cited Reference Count:
53

Times Cited:
0

Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND

ISSN:
0302-3427

eISSN:
1471-5430

Web of Science Categories:
Management; Planning & Development; Public Administration

Research Areas:
Business & Economics; Public Administration

IDS Number:
DM5QS

Unique ID: 
WOS:000376405700010

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