[Sigmetrics] Papers of possible interest to readers of the SIG-Metrics List (October 23, 2016)
Williams Nwagwu
willieezi at yahoo.com
Thu Nov 3 12:05:48 EDT 2016
Dear Colleagues,
Please find attached information about the African Citation Index. Further details will come your way very soon.
Kind regards
On Sunday, October 23, 2016 3:18 PM, "eugene.garfield at thomsonreuters.com" <eugene.garfield at thomsonreuters.com> wrote:
Search terms matched: BIBLIOMETRIC(1)
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Title:
Pharmaceuticals and the Environment (PiE): Evolution and impact of the published literature revealed by *bibliometric* analysis
Authors:
Daughton, CG
Author Full Names:
Daughton, Christian G.
Source:
SCIENCE OF THE TOTAL ENVIRONMENT, 562 391-426; 10.1016/j.scitotenv.2016.03.109 AUG 15 2016
Language:
English
Document Type:
Review
Author Keywords:
Pharmaceuticals, Environmental contaminants, History, Bibliometrics, Most cited
KeyWords Plus:
MULTIXENOBIOTIC RESISTANCE MECHANISM; SEWAGE-TREATMENT PLANTS; PERSONAL CARE PRODUCTS; CHROMATOGRAPHY-MASS SPECTROMETRY; SOLID-PHASE EXTRACTION; ENDOCRINE-DISRUPTING CHEMICALS; PROMOTING HUMAN HEALTH; WATER-TREATMENT PLANTS; TO-CRADLE STEWARDSHIP; TREATED WASTE-WATER
Abstract:
The evolution and impact of the published literature surrounding the
transdisciplinary, multifaceted topic of pharmaceuticals as contaminants
in the environment is examined for the first time in an historical
context. The preponderance of literature cited in this examination
represents the earlier works. As an historical chronology, the focus is
on the emergence of key, specific aspects of the overall topic (often
termed PiE) in the published literature and on the most highly cited
works. This examination is not a conventional, technical review of the
literature; as such, little attention was devoted to the more recent
literature.
The many dimensions involved with PiE span over 70 years of published
literature. Some articles began to appear in published works in the
1940s and earlier, while others only began to receive attention in the
1990s and later. Decades of early research on what at the time seemed to
be disconnected topics eventually coalesced in the mid-to-late 1990s
around a number of interconnected concerns and issues that now comprise
PiE. Major objectives are to provide a new perspective to the topic, to
facilitate more efficient and effective review of the literature by
others, and to recognize the more significant, seminal contributions to
the advancement of PiE as a field of research. Some of the most highly
cited articles in all of environmental science now involve PiE. As of
April 2015, a core group of 385 PiE articles had each received at least
200 citations; one had received 5424 citations. But hundreds of
additional articles also played important roles in the evolution and
advancement of the field. Published by Elsevier B.V. This is an open
access article under the CC BY-NC-ND license
(https://urldefense.proofpoint.com/v2/url?u=http-3A__creativecommons.org_licenses_by-2Dnc-2Dnd_4.0_&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=1LxesLxy10-VgFFbSST0wS6v91325ba-tO9cAYq0qCI&s=W_tRmvtHnz2VDcLREFgx2prTULfKqfS2L9kdK6Fede0&e= ).
Reprint Address:
Daughton, CG (reprint author), US EPA, Environm Futures Anal Branch, Syst Exposure Div, Natl Exposure Res Lab,Off Res & Dev, 944 East Harmon Ave, Las Vegas, NV 89119 USA.
Addresses:
[Daughton, Christian G.] US EPA, Environm Futures Anal Branch, Syst Exposure Div, Natl Exposure Res Lab,Off Res & Dev, 944 East Harmon Ave, Las Vegas, NV 89119 USA.
E-mail Addresses:
daughton.christian at epa.gov
Funding Acknowledgement:
United States Environmental Protection Agency
Funding Text:
The information in this document has been funded wholly by the United States Environmental Protection Agency under. It has been subjected to the Agency's peer and administrative review and has been approved for publication as an EPA document. Mention of trade names or commercial products does not constitute endorsement or recommendation for use. Greatly appreciated were the assistance of MST Scuderi (SEEP, US EPA, Las Vegas) in the maintenance of the EndNote bibliographic database and the technical reviews of this manuscript by Dr. Susan T. Glassmeyer (NERL, ORD, US EPA, Cincinnati, OH) and MST Scuderi.
Cited Reference Count:
430
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0048-9697
eISSN:
1879-1026
Web of Science Categories:
Environmental Sciences
Research Areas:
Environmental Sciences & Ecology
IDS Number:
DN9AW
Unique ID:
WOS:000377372400039
PubMed ID:
27104492
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*Order Full Text [ ]
Title:
Not dead, just resting: The practical value of per publication *citation* indicators
Authors:
Thelwall, M
Author Full Names:
Thelwall, Mike
Source:
JOURNAL OF INFORMETRICS, 10 (2):667-670; 10.1016/j.joi.2015.12.009 MAY 2016
Language:
English
Document Type:
Editorial Material
KeyWords Plus:
SCIENCE
Reprint Address:
Thelwall, M (reprint author), Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England.
Addresses:
[Thelwall, Mike] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England.
E-mail Addresses:
m.thelwall at wlv.ac.uk
Cited Reference Count:
22
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800030
Cited References:
Abramo Giovanni, 2016, JOURNAL OF INFORMETRICS, V10, P646
Waltman Ludo, 2011, JOURNAL OF INFORMETRICS, V5, P37
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Ostby Gudrun, 2013, INTERNATIONAL STUDIES PERSPECTIVES, V14, P493
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Salmi J., 2015, Research funding and system performance: a review of international higher education systems,
Moed Henk F., 2008, SCIENTOMETRICS, V74, P153
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HEFCE, 2015, The metric tide: correlation analysis of REF2014 scores and metrics (supplementary report II to the independent review of the role of metrics in research assessment and management),
========================================================================
Search terms matched: IMPACT FACTORS(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-3A000377413800016&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=1LxesLxy10-VgFFbSST0wS6v91325ba-tO9cAYq0qCI&s=lcVbiqrXa6oE3-WWf9hCLRQEgvxCE7gfpgTahRhVq6Y&e=
*Order Full Text [ ]
Title:
Positive correlation between journal production and journal *impact factors*
Authors:
Rousseau, R
Author Full Names:
Rousseau, Ronald
Source:
JOURNAL OF INFORMETRICS, 10 (2):567-568; 10.1016/j.joi.2016.04.012 MAY 2016
Language:
English
Document Type:
Editorial Material
Reprint Address:
Rousseau, R (reprint author), Katholieke Univ Leuven, Dept Math, Celestijnenlaan 200B, B-3001 Leuven, Belgium.
Addresses:
[Rousseau, Ronald] Katholieke Univ Leuven, Dept Math, Celestijnenlaan 200B, B-3001 Leuven, Belgium.
[Rousseau, Ronald] Univ Antwerp, IBW, B-2000 Antwerp, Belgium.
E-mail Addresses:
ronald.rousseau at kuleuven.be
Cited Reference Count:
4
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800016
Cited References:
Huang Ding-wei, 2016, JOURNAL OF INFORMETRICS, V10, P329
Rousseau R, 1996, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V47, P775
Egghe L, 1996, SCIENTOMETRICS, V36, P97
VANHOOYDONK G, 1994, SCIENTOMETRICS4th International Conference on Bibliometrics, Informetrics and Scientometrics, in Memory of Derek John de Solla Price (1922-1983), SEP 11-15, 1993, BERLIN, GERMANY, V30, P65
========================================================================
. Search terms matched: BIBLIOMETRICS(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-3A000377528200011&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=1LxesLxy10-VgFFbSST0wS6v91325ba-tO9cAYq0qCI&s=bPDJNFfySkLdZZjjytPiXtCJ7dmJAelQ7I9fWGfCClc&e=
*Order Full Text [ ]
Title:
Meaningful Metrics: A 21st-Century Librarian's Guide to *Bibliometrics*, Altmetrics, and Research Impact
Authors:
Ferer, E
Author Full Names:
Ferer, Elise
Source:
COLLEGE & RESEARCH LIBRARIES, 77 (3):397-398; 10.5860/crl.77.3.397 MAY 2016
Language:
English
Document Type:
Book Review
Reprint Address:
Ferer, E (reprint author), Drexel Univ, Philadelphia, PA 19104 USA.
Addresses:
[Ferer, Elise] Drexel Univ, Philadelphia, PA 19104 USA.
Cited Reference Count:
1
Times Cited:
0
Publisher:
ASSOC COLL RESEARCH LIBRARIES, 50 E HURON ST, CHICAGO, IL 60611 USA
ISSN:
0010-0870
eISSN:
2150-6701
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DO1HD
Unique ID:
WOS:000377528200011
Cited References:
ROEMER RC, 2015, MEANINGFUL METRICS 2,
========================================================================
*Record 27 of 66. Search terms matched: CITATION ANALYSIS(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-3A000377413800023&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=1LxesLxy10-VgFFbSST0wS6v91325ba-tO9cAYq0qCI&s=3KtyudpiC7p0ZUzYos_4Lc8wgzintQc3rrxpQ8akQNM&e=
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Title:
Special section on size-independent indicators in *citation analysis*
Authors:
Waltman, L
Author Full Names:
Waltman, Ludo
Source:
JOURNAL OF INFORMETRICS, 10 (2):645-645; 10.1016/j.joi.2016.04.001 MAY 2016
Language:
English
Document Type:
Editorial Material
Reprint Address:
Waltman, L (reprint author), Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands.
Addresses:
[Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands.
E-mail Addresses:
waltmanlr at cwts.leidenuniv.nl
Cited Reference Count:
0
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800023
========================================================================
Search terms matched: IMPACT FACTOR(4); 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-3A000377413800001&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=1LxesLxy10-VgFFbSST0wS6v91325ba-tO9cAYq0qCI&s=StJXSsxfU1DkDX3LtXRVvwBDcoqlas_r376bxL6Bj6c&e=
*Order Full Text [ ]
Title:
Positive correlation between quality and quantity in academic *journals*
Authors:
Huang, DW
Author Full Names:
Huang, Ding-wei
Source:
JOURNAL OF INFORMETRICS, 10 (2):329-335; 10.1016/j.joi.2016.02.002 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Quality and quantity, Correlation, Impact factor, Article numbera
KeyWords Plus:
HIGHLY CITED ARTICLES; SCIENCE SYSTEM; SCALING RULES; IMPACT; CITATION
Abstract:
This study reports a positive correlation between *impact factor* and
article number in scholarly journals. High impact journals publish more
articles. Quality and quantity are positively correlated. This is a
common trend in different disciplines as revealed by empirical data. The
correlation is obscure in a direct plot of article number versus *impact
factor*. A plot of accumulated article number versus normalized rank of
*impact factor* clearly demonstrates the correlation. The reasons behind
this correlation are discussed. (C) 2016 Elsevier Ltd. All rights
reserved.
Reprint Address:
Huang, DW (reprint author), Chung Yuan Christian Univ, Dept Phys, Chungli, Taiwan.
Addresses:
[Huang, Ding-wei] Chung Yuan Christian Univ, Dept Phys, Chungli, Taiwan.
E-mail Addresses:
dwhuang at cycu.edu.tw
Cited Reference Count:
22
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800001
Cited References:
Butler L, 2002, NATURE, V419, P877
Stern David I., 2014, PLOS ONE, V9,
Tchetchik A., 2015, PLOS ONE, V10,
van Raan Anthony F. J., 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P565
Abramo Giovanni, 2014, JOURNAL OF INFORMETRICS, V8, P89
Levitt Jonathan M., 2008, SCIENTOMETRICS, V77, P41
Harzing A.-W., 2005, Australian Journal of Management, V30, P183
Smith R., 1970, Seattle: Technical Report No. 70-2,
Abramo Giovanni, 2010, SCIENTOMETRICS, V84, P821
Hayati Zouhayr, 2009, SCIENTOMETRICS, V80, P625
Abramo Giovanni, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P132
van Raan Anthony F. J., 2013, PLOS ONE, V8,
Frey Bruno S., 2010, JOURNAL OF APPLIED ECONOMICS, V13, P1
Stegehuis Clara, 2015, JOURNAL OF INFORMETRICS, V9, P642
van Raan Anthony F. J., 2008, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V59, P461
Seglen PO, 1997, BRITISH MEDICAL JOURNAL, V314, P498
Katz JS, 1999, RESEARCH POLICY5th International Conference on Science and Technology Indicators, JUN 04-06, 1998, CAMBRIDGE, ENGLAND, V28, P501
COLE S, 1967, AMERICAN SOCIOLOGICAL REVIEW, V32, P377
[Anonymous], 2005, NATURE, V435, P1003
Moed Henk F., 2008, SCIENTOMETRICS, V74, P153
King DA, 2004, NATURE, V430, P311
Sidiropoulos Antonis, 2015, SCIENTOMETRICS, V103, P1
========================================================================
Search terms matched: BIBLIOMETRIC(1)
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*Order Full Text [ ]
Title:
Exploring the position of cities in global corporate research and development: A *bibliometric* analysis by two different geographical approaches
Authors:
Csomos, G; Toth, G
Author Full Names:
Csomos, Gyorgy; Toth, Geza
Source:
JOURNAL OF INFORMETRICS, 10 (2):516-532; 10.1016/j.joi.2016.02.004 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Global city, Multinational company, Corporate research and development, Scientific article
KeyWords Plus:
MULTINATIONAL-CORPORATIONS; KNOWLEDGE FLOWS; DEVELOPMENT EXPENDITURES; JAPANESE CORPORATIONS; INNOVATION NETWORKS; SCIENTIFIC-RESEARCH; TECHNOLOGY; FIRMS; PUBLICATIONS; GLOBALIZATION
Abstract:
Global cities are defined, on the one hand, as the major command and
control centres of the world economy and, on the other hand, as the most
significant sites of the production of innovation. As command and
control centres, they are home to the headquarters of the most powerful
MNCs of the global economy, while as sites for the production of
innovation they are supposed to be the most important sites of corporate
research and development (R&D) activities. In this paper, we conduct a
bibliometric analysis of the data located in the Scopus and Forbes 2000
databases to reveal the correlation between the characteristics of the
above global city definitions. We explore which cities are the major
control points of the global corporate R&D (home city approach), and
which cities are the most important sites of corporate R&D activities
(host city approach). According to the home city approach we assign
articles produced by companies to cities where the decision-making
headquarters are located (i.e. to cities that control the companies R&D
activities), while according to the host city approach we assign
articles to cities where the R&D activities are actually conducted.
Given Sassen's global city concept, we expect global cities to be both
the leading home cities and host cities.
The results show that, in accordance with the global city concept,
Tokyo, New York, London and Paris surpass other cities as command points
of global corporate R&D (having 42 percent of companies scientific
articles). However, as sites of corporate R&D activities to be
conducted, New York and Tokyo form a unique category (having 28 percent
of the articles). The gap between San Jose and Boston, and the global
cities has consistently narrowed because the formers are the leading
centres of the fastest growing innovative industries (e.g. information
technology and biotechnology) in the world economy, and important sites
of international R&D activities within these industries. The emerging
economies are singularly represented by Beijing; however, the position
of Chinese capital (i.e. the number of its companies scientific
articles), has been strengthening rapidly. (C) 2016 Elsevier Ltd. All
rights reserved.
Reprint Address:
Csomos, G (reprint author), Univ Debrecen, Dept Civil Engn, 2-4 Otemeto U, H-4028 Debrecen, Hungary.
Addresses:
[Csomos, Gyorgy] Univ Debrecen, Dept Civil Engn, 2-4 Otemeto U, H-4028 Debrecen, Hungary.
[Toth, Geza] Hungarian Cent Stat Off, 5-7 Keleti Karoly U, H-1024 Budapest, Hungary.
E-mail Addresses:
csomos at eng.unideb.hu; geza.toth at ksh.hu
Funding Acknowledgement:
Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences
Funding Text:
This paper is supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences.
Cited Reference Count:
110
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800013
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*Order Full Text [ ]
Title:
Evaluating paper and author ranking algorithms using impact and contribution awards
Authors:
Dunaiski, M; Visser, W; Geldenhuys, J
Author Full Names:
Dunaiski, Marcel; Visser, Willem; Geldenhuys, Jaco
Source:
JOURNAL OF INFORMETRICS, 10 (2):392-407; 10.1016/j.joi.2016.01.010 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, Ranking, Citation analysisa
KeyWords Plus:
PAGERANK; NETWORKS; INDEX
Abstract:
In the work presented in this paper, we analyse ranking algorithms that
can be applied to bibliographic citation networks and rank academic
entities such as papers and authors. We evaluate how well these
algorithms identify important and high-impact entities.
The ranking algorithms are computed on the Microsoft Academic Search
(MAS) and the ACM digital library citation databases. The MAS database
contains 40 million papers and over 260 million citations that span
across multiple academic disciplines, while the ACM database contains
1.8 million papers from the computing literature and over 7 million
citations.
We evaluate the ranking algorithms by using a test data set of papers
and authors that won renowned prizes at numerous computer science
conferences. The results show that using citation counts is, in general,
the best ranking metric to measure high-impact. However, for certain
tasks, such as ranking important papers or identifying high-impact
authors, algorithms based on PageRank perform better. (C) 2016 Elsevier
Ltd. All rights reserved.
Reprint Address:
Dunaiski, M (reprint author), Univ Stellenbosch, Media Lab, ZA-7602 Matieland, South Africa.
Addresses:
[Dunaiski, Marcel] Univ Stellenbosch, Media Lab, ZA-7602 Matieland, South Africa.
[Visser, Willem; Geldenhuys, Jaco] Univ Stellenbosch, Dept Comp Sci, ZA-7602 Matieland, South Africa.
E-mail Addresses:
marcel at ml.sun.ac.za
Cited Reference Count:
29
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800005
Cited References:
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========================================================================
Search terms matched: CITATION(1)
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*Order Full Text [ ]
Title:
A review of the literature on *citation* impact indicators
Authors:
Waltman, L
Author Full Names:
Waltman, Ludo
Source:
JOURNAL OF INFORMETRICS, 10 (2):365-391; 10.1016/j.joi.2016.02.007 MAY 2016
Language:
English
Document Type:
Review
Author Keywords:
Bibliographic database, Citation analysis, Citation impact indicator, Counting method, Normalization
KeyWords Plus:
AUTHOR SELF-CITATIONS; HIGHLY CITED PAPERS; COAUTHORSHIP CREDIT ALLOCATION; GENERAL MEDICAL JOURNALS; SUB-FIELD NORMALIZATION; GOOGLE SCHOLAR; H-INDEX; BIBLIOMETRIC INDICATORS; RESEARCH PERFORMANCE; SCIENTIFIC IMPACT
Abstract:
Citation impact indicators nowadays play an important role in research
evaluation, and consequently these indicators have received a lot of
attention in the bibliometric and scientometric literature. This paper
provides an in-depth review of the literature on citation impact
indicators. First, an overview is given of the literature on
bibliographic databases that can be used to calculate citation impact
indicators (Web of Science, Scopus, and Google Scholar). Next, selected
topics in the literature on citation impact indicators are reviewed in
detail. The first topic is the selection of publications and citations
to be included in the calculation of citation impact indicators. The
second topic is the normalization of citation impact indicators, in
particular normalization for field differences. Counting methods for
dealing with co-authored publications are the third topic, and citation
impact indicators for journals are the last topic. The paper concludes
by offering some recommendations for future research. (C) 2016 Elsevier
Ltd. All rights reserved.
Reprint Address:
Waltman, L (reprint author), Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands.
Addresses:
[Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands.
E-mail Addresses:
waltmanlr at cwts.leidenuniv.nl
Funding Acknowledgement:
Higher Education Funding Council for England (HEFCE)
Funding Text:
would like to thank Martijn Visser for his help in reviewing the literature on bibliographic databases. I am grateful to Giovanni Abramo, Lutz Bornmann, Wouter Gerritsma, Rudiger Mutz, Antonio Perianes-Rodriguez, Javier Ruiz-Castillo, and two referees for their comments on an earlier version of this paper. This research was partly funded by the Higher Education Funding Council for England (HEFCE).
Cited Reference Count:
342
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800004
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========================================================================
Search terms matched: SCIENTOMETRICS(1)
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*Order Full Text [ ]
Title:
The elephant in the room: The problem of quantifying productivity in evaluative *scientometrics*
Authors:
Waltman, L; van Eck, NJ; Visser, M; Wouters, P
Author Full Names:
Waltman, Ludo; van Eck, Nees Jan; Visser, Martijn; Wouters, Paul
Source:
JOURNAL OF INFORMETRICS, 10 (2):671-674; 10.1016/j.joi.2015.12.008 MAY 2016
Language:
English
Document Type:
Editorial Material
Reprint Address:
Waltman, L (reprint author), Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands.
Addresses:
[Waltman, Ludo; van Eck, Nees Jan; Visser, Martijn; Wouters, Paul] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands.
E-mail Addresses:
waltmanlr at cwts.leidenuniv.nl; ecknjpvan at cwts.leidenuniv.nl; visser at cwts.leidenuniv.nl; p.f.wouters at cwts.leidenuniv.nl
Cited Reference Count:
6
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800031
Cited References:
Abramo Giovanni, 2014, SCIENTOMETRICS, V101, P1129
Moed HF, 2000, SCIENTOMETRICS, V47, P323
Waltman Ludo, 2011, JOURNAL OF INFORMETRICS, V5, P37
Sivertsen Gunnar, 2016, SCIENTOMETRICS20th International Conference on Science and Technology Indicators, SEP 02-09, 2015, Lugano, SWITZERLAND, V106, P849
Abramo Giovanni, 2016, JOURNAL OF INFORMETRICS, V10, P646
Waltman Ludo, 2016, JOURNAL OF INFORMETRICS, V10, P365
========================================================================
Search terms matched: BIBLIOGRAPHIC(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-3A000377413800020&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=1LxesLxy10-VgFFbSST0wS6v91325ba-tO9cAYq0qCI&s=1eP3bSHi7sJ7zQemwLKJrpWun96Z4CDTRzC-LjNAsC4&e=
*Order Full Text [ ]
Title:
Generation of topic evolution trees from heterogeneous *bibliographic* networks
Authors:
Jensen, S; Liu, XZ; Yu, YY; Milojevic, S
Author Full Names:
Jensen, Scott; Liu, Xiaozhong; Yu, Yingying; Milojevic, Stasa
Source:
JOURNAL OF INFORMETRICS, 10 (2):606-621; 10.1016/j.joi.2016.04.002 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Topic evolution, Heterogeneous bibliographic network, Meta-path, Visualizationa
KeyWords Plus:
INFORMATION-RETRIEVAL; RELEVANCE THEORY; COMBINING BIBLIOMETRICS; SCIENCE; SCIENTOMETRICS; SUBJECT; EXAMPLES; MODELS
Abstract:
The volume of the existing research literature is such it can make it
difficult to find highly relevant information and to develop an
understanding of how a scientific topic has evolved. Prior research on
topic evolution has often leveraged refinements to Latent Dirichlet
Allocation (LDA) to identify emerging topics. However, such methods do
not answer the question of which studies contributed to the evolution of
a topic. In this paper we show that meta-paths over a heterogeneous
bibliographic network (consisting of papers, authors and venues) can be
used to identify the network elements that made the greatest
contributions to a topic. In particular, by adding derived edges that
capture the contribution of papers, authors, and venues to a topic
(using PageRank algorithm), a restricted meta-path over the
bibliographic network can be used to restrict the evolution of topics to
the context of interest to a researcher. We use such restricted
meta-paths to construct a topic evolution tree that can provide
researchers with a web-based visualization of the evolution of a
scientific topic in the context of interest to them. Compared to
baseline networks without restrictions, we find that restricted networks
provide more useful topic evolution trees. (C) 2016 Elsevier Ltd. All
rights reserved.
Reprint Address:
Liu, XZ (reprint author), Indiana Univ, Sch Informat & Comp, Dept Info & Lib Sci, Wells Lib, Room 027,1320 E 10th St, Bloomington, IN 47405 USA.
Addresses:
[Jensen, Scott] San Jose State Univ, Lucas Coll, One Washington Sq, San Jose, CA 95192 USA.
[Jensen, Scott] San Jose State Univ, Grad Sch Business, MIS Dept, One Washington Sq, San Jose, CA 95192 USA.
[Liu, Xiaozhong] Indiana Univ, Sch Informat & Comp, Dept Info & Lib Sci, Wells Lib, Room 027,1320 E 10th St, Bloomington, IN 47405 USA.
[Yu, Yingying] Dalian Maritime Univ, Coll Transportat Management, Dept Management Sci & Engn, Room 211,Guanli Bldg,1 Linghai Rd, Dalian 116026, Liaoning Provin, Peoples R China.
[Milojevic, Stasa] Indiana Univ, Sch Informat & Comp, Dept Info & Lib Sci, Wells Lib, Room 017,1320 E 10th St, Bloomington, IN 47405 USA.
E-mail Addresses:
scott.jensen at sjsu.edu; liu237 at indiana.edu; uee870927 at 126.com; smilojev at indiana.edu
Cited Reference Count:
72
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800020
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========================================================================
Search terms matched: CITED(1)
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Title:
Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with *cited* references standardization
Authors:
Thor, A; Marx, W; Leydesdorff, L; Bornmann, L
Author Full Names:
Thor, Andreas; Marx, Werner; Leydesdorff, Loet; Bornmann, Lutz
Source:
JOURNAL OF INFORMETRICS, 10 (2):503-515; 10.1016/j.joi.2016.02.005 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Cited References Explorer, CRExplorer, Reference publication year spectroscopy, Citation analysis
KeyWords Plus:
BIBLIOMETRIC DATA; CITATION IMPACT; INDEX; INDICATORS; SCALES; RPYS
Abstract:
We introduce a new tool - the CitedReferencesExplorer (CRExplorer,
www.crexplorer.net) - which can be used to disambiguate and analyze the
cited references (CRs) of a publication set downloaded from the Web of
Science (WoS). The tool is especially suitable to identify those
publications which have been frequently cited by the researchers in a
field and thereby to study for example the historical roots of a
research field or topic. CRExplorer simplifies the identification of key
publications by enabling the user to work with both a graph for
identifying most frequently cited reference publication years (RPYs) and
the list of references for the RPYs which have been most frequently
cited. A further focus of the program is on the standardization of CRs.
It is one of the biggest problems in bibliometrics that there are
several variants of the same CR in the WoS. In this study, CRExplorer is
used to study the CRs of all papers published in the Journal of
Informetrics. The analyses focus on the most important papers published
between 1980 and 1990. (C) 2016 Elsevier Ltd. All rights reserved.
Reprint Address:
Bornmann, L (reprint author), Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany.
Addresses:
[Thor, Andreas] Univ Appl Sci Telecommun Leipzig, Gustav Freytag Str 43-45, D-04277 Leipzig, Germany.
[Marx, Werner] Max Planck Inst Solid State Res, Informat Serv, Heisenbergstr 1, D-70506 Stuttgart, Germany.
[Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, POB 15793, NL-1001 NG Amsterdam, Netherlands.
[Bornmann, Lutz] Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany.
E-mail Addresses:
thor at hft-leipzig.de; w.marx at fkf.mpg.de; loet at leydesdorff.net; bornmann at gv.mpg.de
Cited Reference Count:
43
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800012
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========================================================================
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Title:
A theoretical evaluation of Hirsch-type *bibliometric* indicators confronted with extreme self-*citation*
Authors:
Viiu, GA
Author Full Names:
Viiu, Gabriel Alexandru
Source:
JOURNAL OF INFORMETRICS, 10 (2):552-566; 10.1016/j.joi.2016.04.010 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
h Index variants, Bibliometric indicators, Self-citation, Manipulation, Research evaluationa
KeyWords Plus:
SCIENTIFIC-RESEARCH OUTPUT; SUCCESSIVE H-INDEXES; CITED PAPERS; PI-INDEX; IMPACT; PUBLICATIONS; IMPROVEMENT; VARIANTS; MACRO; SIDE
Abstract:
The paper investigates the theoretical response of h-type bibliometric
indicators developed over the past decade when faced with the problem of
manipulation through self-citation practices. An extreme self-citation
scenario is used to test the theoretical resistance of the research
performance metrics to strategic manipulation and to determine the
magnitude of the impact that self-citations may induce on the
indicators. The original h-index, eighteen selected variants, as well as
traditional bibliometric indicators are considered. The results of the
theoretical study indicate that while all indicators are vulnerable to
manipulation, some of the h-index variants are more susceptible to the
influence of strategic behavior than others: elite set indicators prove
more resilient than the original h while other variants, including most
of those directly derived from the h-index, are shown to be less robust.
Variants that take into account time constraints prove to be especially
useful for detecting potential manipulation. As a practical tool which
may aid further studies, the article offers a collection of functions to
compute the h-index and several of its variants in the R language and
environment for statistical computing. (C) 2016 Elsevier Ltd. All rights
reserved.
Reprint Address:
Viiu, GA (reprint author), Natl Sch Polit & Adm Studies, Dept Polit Sci, Bucharest, Romania.
Addresses:
[Viiu, Gabriel Alexandru] Natl Sch Polit & Adm Studies, Dept Polit Sci, Bucharest, 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 under grant number PN-II-ID-PCE-2011-3-0746 is gratefully acknowledged. Several comments made to the author through the peer-review process conducted by the Journal of Informetrics are also acknowledged for helping to clarify and improve aspects of the paper.
Cited Reference Count:
66
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800015
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========================================================================
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Title:
Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus
Authors:
Wang, Q; Waltman, L
Author Full Names:
Wang, Qi; Waltman, Ludo
Source:
JOURNAL OF INFORMETRICS, 10 (2):347-364; 10.1016/j.joi.2016.02.003 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Journal classification system, Web of Science, Scopus, Citation analysis, Bibliographic database
KeyWords Plus:
ITEM SUBJECT CLASSIFICATION; COUNTRY RANK CLASSIFICATION; SCIENTIFIC JOURNALS; OF-SCIENCE; CITATION DATABASES; IMPACT; COVERAGE; CATEGORIES; INDICATORS
Abstract:
Journal classification systems play an important role in bibliometric
analyses. The two most important bibliographic databases, Web of Science
and Scopus, each provide a journal classification system. However, no
study has systematically investigated the accuracy of these
classification systems. To examine and compare the accuracy of journal
classification systems, we define two criteria on the basis of direct
citation relations between journals and categories. We use Criterion I
to select journals that have weak connections with their assigned
categories, and we use Criterion II to identify journals that are not
assigned to categories with which they have strong connections. If a
journal satisfies either of the two criteria, we conclude that its
assignment to categories may be questionable. Accordingly, we identify
all journals with questionable classifications in Web of Science and
Scopus. Furthermore, we perform a more in-depth analysis for the field
of Library and Information Science to assess whether our proposed
criteria are appropriate and whether they yield meaningful results. It
turns out that according to our citation-based criteria Web of Science
performs significantly better than Scopus in terms of the accuracy of
its journal classification system. (C) 2016 Elsevier Ltd. All rights
reserved.
Reprint Address:
Wang, Q (reprint author), KTH Royal Inst Technol, Dept Ind Econ & Management, Lindstedtsvagen 30, S-11428 Stockholm, Sweden.
Addresses:
[Wang, Qi] KTH Royal Inst Technol, Dept Ind Econ & Management, Lindstedtsvagen 30, S-11428 Stockholm, Sweden.
[Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, POB 905, NL-2300 AX Leiden, Netherlands.
E-mail Addresses:
qi.wang at indek.kth.se; waltmanlr at cwts.leidenuniv.nl
Cited Reference Count:
46
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800003
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Title:
Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions
Authors:
Thelwall, M
Author Full Names:
Thelwall, Mike
Source:
JOURNAL OF INFORMETRICS, 10 (2):622-633; 10.1016/j.joi.2016.04.014 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Discretised lognormal distribution, Hooked power law, Citation analysis, Uncited articles, Zero inflated discretised lognormal distribution, Zero inflated hooked power law
KeyWords Plus:
CITATION DISTRIBUTIONS; SCIENTIFIC IMPACT; CITED ARTICLES; COMMUNICATION; PUBLICATION; COMPETITION; JOURNALS; REASONS
Abstract:
Although statistical models fit many citation data sets reasonably well
with the best fitting models being the hooked power law and discretised
lognormal distribution, the fits are rarely close. One possible reason
is that there might be more uncited articles than would be predicted by
any model if some articles are inherently uncitable. Using data from 23
different Scopus categories, this article tests the assumption that
removing a proportion of uncited articles from a citation dataset allows
statistical distributions to have much closer fits. It also introduces
two new models, zero inflated discretised lognormal distribution and the
zero inflated hooked power law distribution and algorithms to fit them.
In all 23 cases, the zero inflated version of the discretised lognormal
distribution was an improvement on the standard version and in 15 out of
23 cases the zero inflated version of the hooked power law was an
improvement on the standard version. Without zero inflation the
discretised lognormal models fit the data better than the hooked power
law distribution 6 out of 23 times and with it, the discretised
lognormal models fit the data better than the hooked power law
distribution 9 out of 23 times. Apparently uncitable articles seem to
occur due to the presence of academic-related magazines in Scopus
categories. In conclusion, future citation analysis and research
indicators should take into account uncitable articles, and the best
fitting distribution for sets of citation counts from a single subject
and year is either the zero inflated discretised lognormal or zero
inflated hooked power law. (C) 2016 Elsevier Ltd. All rights reserved.
Reprint Address:
Thelwall, M (reprint author), Wolverhampton Univ, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1ST, W Midlands, England.
Addresses:
[Thelwall, Mike] Wolverhampton Univ, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1ST, W Midlands, England.
E-mail Addresses:
m.thelwall at wlv.ac.uk
Cited Reference Count:
55
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800021
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Title:
The discretised lognormal and hooked power law distributions for complete citation data: Best options for modelling and regression
Authors:
Thelwall, M
Author Full Names:
Thelwall, Mike
Source:
JOURNAL OF INFORMETRICS, 10 (2):336-346; 10.1016/j.joi.2015.12.007 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Scientometrics, Hooked power law, Shifted power law, Discretised lognormal distribution, Citation analysis, Citation distributionsa
KeyWords Plus:
IMPACT; SCIENCE; COUNTS; INDICATORS; INDEX; WEB; CONSEQUENCES; UNIVERSALITY; PERFORMANCE; COMPETITION
Abstract:
Identifying the statistical distribution that best fits citation data is
important to allow robust and powerful quantitative analyses. Whilst
previous studies have suggested that both the hooked power law and
discretised lognormal distributions fit better than the power law and
negative binomial distributions, no comparisons so far have covered all
articles within a discipline, including those that are uncited. Based on
an analysis of 26 different Scopus subject areas in seven different
years, this article reports comparisons of the discretised lognormal and
the hooked power law with citation data, adding 1 to citation counts in
order to include zeros. The hooked power law fits better in two thirds
of the subject/year combinations tested for journal articles that are at
least three years old, including most medical, life and natural
sciences, and for virtually all subject areas for younger articles.
Conversely, the discretised lognormal tends to fit best for arts,
humanities, social science and engineering fields. The difference
between the fits of the distributions is mostly small, however, and so
either could reasonably be used for modelling citation data. For
regression analyses, however, the best option is to use ordinary least
squares regression applied to the natural logarithm of citation counts
plus one, especially for sets of younger articles, because of the
increased precision of the parameters. (C) 2016 Elsevier Ltd. All rights
reserved.
Reprint Address:
Thelwall, M (reprint author), Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England.
Addresses:
[Thelwall, Mike] Wolverhampton Univ, Sch Math & Comp Sci, Stat Cybermetr Res Grp, Wulfruna St, Wolverhampton WV1 1LY, W Midlands, England.
E-mail Addresses:
m.thelwall at wlv.ac.uk
Cited Reference Count:
45
Times Cited:
2
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800002
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Title:
A farewell to the MNCS and like size-independent indicators
Authors:
Abramo, G; D'Angelo, CA
Author Full Names:
Abramo, Giovanni; D'Angelo, Ciriaco Andrea
Source:
JOURNAL OF INFORMETRICS, 10 (2):646-651; 10.1016/j.joi.2016.04.006 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Research evaluation, Productivity, Bibliometrics, FSS, University rankings
KeyWords Plus:
CITATION IMPACT; RESEARCH PRODUCTIVITY; RESEARCH PERFORMANCE; CROWN INDICATOR; SCALE; INDEX; RESEARCHERS; FIELD
Abstract:
The arguments presented demonstrate that the Mean Normalized Citation
Score (MNCS) and other size-independent indicators based on the ratio to
publications are not indicators of research performance. The article
provides examples of the distortions when rankings by MNCS are compared
to those based on indicators of productivity. The authors propose
recommendations for the scientometric community to switch to ranking by
research efficiency, instead of MNCS and other size-independent
indicators. (C) 2016 Elsevier Ltd. All rights reserved.
Reprint Address:
Abramo, G (reprint author), Natl Res Council Italy, Inst Syst Anal & Comp Sci IASI CNR, Lab Studies Res & Technol Transfer, Via Taurini 19, I-00185 Rome, Italy.
Addresses:
[Abramo, Giovanni] Natl Res Council Italy, Inst Syst Anal & Comp Sci IASI CNR, Lab Studies Res & Technol Transfer, Via Taurini 19, I-00185 Rome, Italy.
[D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Dept Engn & Management, Via Politecn 1, I-00133 Rome, Italy.
[D'Angelo, Ciriaco Andrea] Inst Syst Anal & Comp Sci IASI CNR, Dip Ingn Impresa, Via Politecn 1, I-00133 Rome, Italy.
E-mail Addresses:
giovanni.abramo at uniroma2.it; dangelo at dii.uniroma2.it
Cited Reference Count:
28
Times Cited:
7
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800024
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Title:
Evaluating paper and author ranking algorithms using impact and contribution awards
Authors:
Dunaiski, M; Visser, W; Geldenhuys, J
Author Full Names:
Dunaiski, Marcel; Visser, Willem; Geldenhuys, Jaco
Source:
JOURNAL OF INFORMETRICS, 10 (2):392-407; 10.1016/j.joi.2016.01.010 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, Ranking, Citation analysisa
KeyWords Plus:
PAGERANK; NETWORKS; INDEX
Abstract:
In the work presented in this paper, we analyse ranking algorithms that
can be applied to bibliographic citation networks and rank academic
entities such as papers and authors. We evaluate how well these
algorithms identify important and high-impact entities.
The ranking algorithms are computed on the Microsoft Academic Search
(MAS) and the ACM digital library citation databases. The MAS database
contains 40 million papers and over 260 million citations that span
across multiple academic disciplines, while the ACM database contains
1.8 million papers from the computing literature and over 7 million
citations.
We evaluate the ranking algorithms by using a test data set of papers
and authors that won renowned prizes at numerous computer science
conferences. The results show that using citation counts is, in general,
the best ranking metric to measure high-impact. However, for certain
tasks, such as ranking important papers or identifying high-impact
authors, algorithms based on PageRank perform better. (C) 2016 Elsevier
Ltd. All rights reserved.
Reprint Address:
Dunaiski, M (reprint author), Univ Stellenbosch, Media Lab, ZA-7602 Matieland, South Africa.
Addresses:
[Dunaiski, Marcel] Univ Stellenbosch, Media Lab, ZA-7602 Matieland, South Africa.
[Visser, Willem; Geldenhuys, Jaco] Univ Stellenbosch, Dept Comp Sci, ZA-7602 Matieland, South Africa.
E-mail Addresses:
marcel at ml.sun.ac.za
Cited Reference Count:
29
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800005
Cited References:
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========================================================================
*View Full Record: https://urldefense.proofpoint.com/v2/url?u=http-3A__gateway.webofknowledge.com_gateway_Gateway.cgi-3FGWVersion-3D2-26SrcAuth-3DAlerting-26SrcApp-3DAlerting-26DestApp-3DWOS-26DestLinkType-3DFullRecord-3BUT-3DWOS-3A000377413800032&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=hbCirwTcidxbdfMTsqjUYgPiip7AOJmitDiKc00BepI&s=tOmHGb2JUAyr1VmcLGPCgznmzZ6vlMSh_5L1LS2GunQ&e=
*Order Full Text [ ]
Title:
Paving the way or pushing at open doors? A comment on Abramo and D'Angelo "Farewell to size-independent indicators"
Authors:
Zitt, M
Author Full Names:
Zitt, Michel
Source:
JOURNAL OF INFORMETRICS, 10 (2):675-678; 10.1016/j.joi.2016.04.003 MAY 2016
Language:
English
Document Type:
Editorial Material
Reprint Address:
Zitt, M (reprint author), INRA, Lereco SAE2 U1134, F-44026 Nantes, France.
Addresses:
[Zitt, Michel] INRA, Lereco SAE2 U1134, F-44026 Nantes, France.
E-mail Addresses:
mzitt at numericable.fr
Cited Reference Count:
8
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800032
Cited References:
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Zitt M., 2013, Collnet Journal of Scientometrics and Information Management, V7, P55
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Arrow K., 1962, The rate and direction of inventive activity: economicand social factors, P609
Stephan P., 2012, How economics shapes science,
========================================================================
*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-3A000377413800004&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=hbCirwTcidxbdfMTsqjUYgPiip7AOJmitDiKc00BepI&s=1iedTfGabUFV9fZ_F8BKMGXNNEmDa0LCsjE560XbqaM&e=
*Order Full Text [ ]
Title:
A review of the literature on citation impact indicators
Authors:
Waltman, L
Author Full Names:
Waltman, Ludo
Source:
JOURNAL OF INFORMETRICS, 10 (2):365-391; 10.1016/j.joi.2016.02.007 MAY 2016
Language:
English
Document Type:
Review
Author Keywords:
Bibliographic database, Citation analysis, Citation impact indicator, Counting method, Normalization
KeyWords Plus:
AUTHOR SELF-CITATIONS; HIGHLY CITED PAPERS; COAUTHORSHIP CREDIT ALLOCATION; GENERAL MEDICAL JOURNALS; SUB-FIELD NORMALIZATION; GOOGLE SCHOLAR; H-INDEX; BIBLIOMETRIC INDICATORS; RESEARCH PERFORMANCE; SCIENTIFIC IMPACT
Abstract:
Citation impact indicators nowadays play an important role in research
evaluation, and consequently these indicators have received a lot of
attention in the bibliometric and scientometric literature. This paper
provides an in-depth review of the literature on citation impact
indicators. First, an overview is given of the literature on
bibliographic databases that can be used to calculate citation impact
indicators (Web of Science, Scopus, and Google Scholar). Next, selected
topics in the literature on citation impact indicators are reviewed in
detail. The first topic is the selection of publications and citations
to be included in the calculation of citation impact indicators. The
second topic is the normalization of citation impact indicators, in
particular normalization for field differences. Counting methods for
dealing with co-authored publications are the third topic, and citation
impact indicators for journals are the last topic. The paper concludes
by offering some recommendations for future research. (C) 2016 Elsevier
Ltd. All rights reserved.
Reprint Address:
Waltman, L (reprint author), Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands.
Addresses:
[Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands.
E-mail Addresses:
waltmanlr at cwts.leidenuniv.nl
Funding Acknowledgement:
Higher Education Funding Council for England (HEFCE)
Funding Text:
would like to thank Martijn Visser for his help in reviewing the literature on bibliographic databases. I am grateful to Giovanni Abramo, Lutz Bornmann, Wouter Gerritsma, Rudiger Mutz, Antonio Perianes-Rodriguez, Javier Ruiz-Castillo, and two referees for their comments on an earlier version of this paper. This research was partly funded by the Higher Education Funding Council for England (HEFCE).
Cited Reference Count:
342
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800004
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Title:
Two-dimensional mapping of scientific production of nations in the fields of physics and astronomy
Authors:
Jenab, SMH
Author Full Names:
Jenab, Seyyed Mehdi Hosseini
Source:
SOUTH AFRICAN JOURNAL OF SCIENCE, 112 (5-6):95-102; 10.17159/sajs.2016/20150119 MAY-JUN 2016
Language:
English
Document Type:
Article
Author Keywords:
national-level analysis, quality, quantity, ranking, scientometrics
KeyWords Plus:
INDEX; SCIENCE
Abstract:
The quantity and quality of scientific production in the fields of
physics and astronomy over a period of 16 years (1996-2012) was studied.
The level of analysis was national, with the scientific output of 108
countries being analysed. The measurement unit was the number of papers
published in peer-reviewed journals, as listed on the Scopus database.
Modified versions of the number of publications (Pm) and citations (Cm)
were employed as indicators of quantity and quality, respectively. A
two-dimensional method, the Pm-Cm diagram, was adopted to provide a
coherent and simultaneous approach to study the positions, rankings, and
temporal evolution of countries in the global context. A static approach
to studying the Pm-Cm diagram resulted in countries being grouped into
five main categories based on average positions. A dynamic approach to
analysing the Pm-Cm diagram also resulted in five groups (i.e. when
considering the temporal evolution patterns of the countries during the
studied years). The rank and temporal-evolution group associated with
each country are listed in two tables in this paper. These tables,
together with the Pm-Cm diagrams (showing different scales) present a
general view of the scientific activity in the field of physics and
astronomy for each country. This methodology allows each country's
output to be compared with that of other countries or the world average.
Reprint Address:
Jenab, SMH (reprint author), North West Univ, Fac Nat Sci, Ctr Space Res, Hoffman St, ZA-2520 Potchefstroom, South Africa.
Addresses:
[Jenab, Seyyed Mehdi Hosseini] North West Univ, Fac Nat Sci, Ctr Space Res, Hoffman St, ZA-2520 Potchefstroom, South Africa.
E-mail Addresses:
mehdi.jenab at yahoo.com
Cited Reference Count:
26
Times Cited:
0
Publisher:
ACAD SCIENCE SOUTH AFRICA A S S AF, PO BOX 72135, LYNWOOD RIDGE 0040, SOUTH AFRICA
ISSN:
0038-2353
eISSN:
1996-7489
Web of Science Categories:
Multidisciplinary Sciences
Research Areas:
Science & Technology - Other Topics
IDS Number:
DN6TY
Unique ID:
WOS:000377210400018
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Title:
Network and actor attribute effects on the performance of researchers in two fields of social science in a small peripheral community
Authors:
Letina, S
Author Full Names:
Letina, Srebrenka
Source:
JOURNAL OF INFORMETRICS, 10 (2):571-595; 10.1016/j.joi.2016.03.007 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Auto-logistic actor attribute models, Scientific performance, Co-authorship network, Local egonet structure, Social sciences
KeyWords Plus:
CO-AUTHORSHIP NETWORKS; SCIENTIFIC COLLABORATION; REGRESSION-ANALYSIS; PRODUCTIVITY; IMPACT; PERSPECTIVE; WORKPLACE; DYNAMICS; EMINENCE; QUALITY
Abstract:
The aim of this study is to explore the network effects of the national
and disciplinary community and actor attribute effects on the future
performance of scientists in two fields of social sciences in Croatia.
Based on the publication data from 1992 to 2012, extracted from three
databases, we used the co-authorship network from the period 1992-2001
for the specification of nine structural effects to predict individual
performance in the 2002-2012 period. Employing the auto-logistic actor
attribute models allowed the inclusion of six actor attributes and the
analysis of their effects simultaneously with network effects. The
results show that future performance is dependent on the national and
disciplinary network both in the psychology field and in the sociology
field. When controlling for actor attribute effects, these structural
effects play a significant role only in sociology, where activity in the
network is a negative predictor and having a tie with an actor who is
going to be above average in productivity is a positive predictor of the
outcome. Institution type in psychology, age and the previous
productivity in sociology are significant actor attribute effects. We
used log-odds to demonstrate the probabilities of the outcome for three
prototypical egonet structures: open, closed and complex; with different
numbers of alters with attribute. Specific directions for future
research are identified. (C) 2016 Elsevier Ltd. All rights reserved.
Reprint Address:
Letina, S (reprint author), Inst Social Res, Amruseva 8, Zagreb 10000, Croatia.
Addresses:
[Letina, Srebrenka] Inst Social Res, Amruseva 8, Zagreb 10000, Croatia.
E-mail Addresses:
srebrenka at idi.hr
Funding Acknowledgement:
Croatian Science Foundation of the Institute for Social research in Zagreb [IP-09-2014-9351]
Funding Text:
This work has been partially supported by Croatian Science Foundation project (IP-09-2014-9351) of the Institute for Social research in Zagreb. I am grateful to the anonymous reviewers for their valuable suggestions and to the researchers working at Social Network Laboratory (Melbourne University) for knowledge sharing.
Cited Reference Count:
76
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800018
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Title:
Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization
Authors:
Thor, A; Marx, W; Leydesdorff, L; Bornmann, L
Author Full Names:
Thor, Andreas; Marx, Werner; Leydesdorff, Loet; Bornmann, Lutz
Source:
JOURNAL OF INFORMETRICS, 10 (2):503-515; 10.1016/j.joi.2016.02.005 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
Cited References Explorer, CRExplorer, Reference publication year spectroscopy, Citation analysis
KeyWords Plus:
BIBLIOMETRIC DATA; CITATION IMPACT; INDEX; INDICATORS; SCALES; RPYS
Abstract:
We introduce a new tool - the CitedReferencesExplorer (CRExplorer,
www.crexplorer.net) - which can be used to disambiguate and analyze the
cited references (CRs) of a publication set downloaded from the Web of
Science (WoS). The tool is especially suitable to identify those
publications which have been frequently cited by the researchers in a
field and thereby to study for example the historical roots of a
research field or topic. CRExplorer simplifies the identification of key
publications by enabling the user to work with both a graph for
identifying most frequently cited reference publication years (RPYs) and
the list of references for the RPYs which have been most frequently
cited. A further focus of the program is on the standardization of CRs.
It is one of the biggest problems in bibliometrics that there are
several variants of the same CR in the WoS. In this study, CRExplorer is
used to study the CRs of all papers published in the Journal of
Informetrics. The analyses focus on the most important papers published
between 1980 and 1990. (C) 2016 Elsevier Ltd. All rights reserved.
Reprint Address:
Bornmann, L (reprint author), Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany.
Addresses:
[Thor, Andreas] Univ Appl Sci Telecommun Leipzig, Gustav Freytag Str 43-45, D-04277 Leipzig, Germany.
[Marx, Werner] Max Planck Inst Solid State Res, Informat Serv, Heisenbergstr 1, D-70506 Stuttgart, Germany.
[Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, POB 15793, NL-1001 NG Amsterdam, Netherlands.
[Bornmann, Lutz] Max Planck Gesell, Adm Headquarters, Div Sci & Innovat Studies, Hofgartenstr 8, D-80539 Munich, Germany.
E-mail Addresses:
thor at hft-leipzig.de; w.marx at fkf.mpg.de; loet at leydesdorff.net; bornmann at gv.mpg.de
Cited Reference Count:
43
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800012
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Title:
A theoretical evaluation of Hirsch-type bibliometric indicators confronted with extreme self-citation
Authors:
Viiu, GA
Author Full Names:
Viiu, Gabriel Alexandru
Source:
JOURNAL OF INFORMETRICS, 10 (2):552-566; 10.1016/j.joi.2016.04.010 MAY 2016
Language:
English
Document Type:
Article
Author Keywords:
h Index variants, Bibliometric indicators, Self-citation, Manipulation, Research evaluationa
KeyWords Plus:
SCIENTIFIC-RESEARCH OUTPUT; SUCCESSIVE H-INDEXES; CITED PAPERS; PI-INDEX; IMPACT; PUBLICATIONS; IMPROVEMENT; VARIANTS; MACRO; SIDE
Abstract:
The paper investigates the theoretical response of h-type bibliometric
indicators developed over the past decade when faced with the problem of
manipulation through self-citation practices. An extreme self-citation
scenario is used to test the theoretical resistance of the research
performance metrics to strategic manipulation and to determine the
magnitude of the impact that self-citations may induce on the
indicators. The original h-index, eighteen selected variants, as well as
traditional bibliometric indicators are considered. The results of the
theoretical study indicate that while all indicators are vulnerable to
manipulation, some of the h-index variants are more susceptible to the
influence of strategic behavior than others: elite set indicators prove
more resilient than the original h while other variants, including most
of those directly derived from the h-index, are shown to be less robust.
Variants that take into account time constraints prove to be especially
useful for detecting potential manipulation. As a practical tool which
may aid further studies, the article offers a collection of functions to
compute the h-index and several of its variants in the R language and
environment for statistical computing. (C) 2016 Elsevier Ltd. All rights
reserved.
Reprint Address:
Viiu, GA (reprint author), Natl Sch Polit & Adm Studies, Dept Polit Sci, Bucharest, Romania.
Addresses:
[Viiu, Gabriel Alexandru] Natl Sch Polit & Adm Studies, Dept Polit Sci, Bucharest, 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 under grant number PN-II-ID-PCE-2011-3-0746 is gratefully acknowledged. Several comments made to the author through the peer-review process conducted by the Journal of Informetrics are also acknowledged for helping to clarify and improve aspects of the paper.
Cited Reference Count:
66
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
eISSN:
1875-5879
Web of Science Categories:
Computer Science, Interdisciplinary Applications; Information Science & Library Science
Research Areas:
Computer Science; Information Science & Library Science
IDS Number:
DN9QD
Unique ID:
WOS:000377413800015
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Title:
A geometric graph model for *citation* networks of exponentially growing scientific papers
Authors:
Xie, Z; Ouyang, ZZ; Liu, Q; Li, JP
Author Full Names:
Xie, Zheng; Ouyang, Zhenzheng; Liu, Qi; Li, Jianping
Source:
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 456 167-175; 10.1016/j.physa.2016.03.018 AUG 15 2016
Language:
English
Document Type:
Article
Author Keywords:
Geometric graph, Citation network, Assortativity, Modelling, Bibliometric, Causal network
KeyWords Plus:
DISTRIBUTIONS; UNIVERSALITY
Abstract:
In citation networks, the content relativity of papers is a precondition
of engendering citations, which is hard to model by a topological graph.
A geometric graph is proposed to predict some features of the citation
networks with exponentially growing papers, which addresses the
precondition by using coordinates of nodes to model the research
contents of papers, and geometric distances between nodes to diversities
of research contents between papers. Citations between modeled papers
are drawn according to a geometric rule, which addresses the
precondition as well as some other factors engendering citations, namely
academic influences of papers, aging of those influences, and incomplete
copying of references. Instead of cumulative advantage of degree, the
model illustrates that the scale free property of modeled networks
arises from the inhomogeneous academic influences of modeled papers. The
model can also reproduce some other statistical features of citation
networks, e.g. in- and out-assortativities, which show the model
provides a suitable tool to understand some aspects of citation networks
by geometry. (C) 2016 Elsevier B.V. All rights reserved.
Reprint Address:
Xie, Z (reprint author), Natl Univ Def Technol, Coll Sci, Changsha 410073, Hunan, Peoples R China.
Addresses:
[Xie, Zheng; Ouyang, Zhenzheng; Liu, Qi; Li, Jianping] Natl Univ Def Technol, Coll Sci, Changsha 410073, Hunan, Peoples R China.
[Xie, Zheng] Univ Bath, Dept Math, Ctr Networks & Collect Behav, Bath BA2 7AY, Avon, England.
E-mail Addresses:
xiezheng81 at nudt.edu.cn
Funding Acknowledgement:
Key Laboratory of High Performance Computing [201403-01]; National University of Defense Technology Graduate Teaching Reform Project [yjsy2013012]
Funding Text:
We thank the editor and anonymous reviewer for their valuable suggestions and great help, and the hospitality of Professor Alastair Spence in the centre for networks and collective behaviour in the University of Bath. This work is supported by the open fund from Key Laboratory of High Performance Computing (No. 201403-01), and the National University of Defense Technology Graduate Teaching Reform Project (No. yjsy2013012).
Cited Reference Count:
31
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0378-4371
eISSN:
1873-2119
Web of Science Categories:
Physics, Multidisciplinary
Research Areas:
Physics
IDS Number:
DM9NR
Unique ID:
WOS:000376693500017
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Title:
Day of the week effect in paper submission/acceptance/rejection to/in/by peer review *journals*
Authors:
Ausloos, M; Nedic, O; Dekanski, A
Author Full Names:
Ausloos, Marcel; Nedic, Olgica; Dekanski, Aleksandar
Source:
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 456 197-203; 10.1016/j.physa.2016.03.032 AUG 15 2016
Language:
English
Document Type:
Article
Author Keywords:
Scientific agent behavior, Submission day, Acceptance rate, Rejection rate, Entropy, Senior coauthors
KeyWords Plus:
OF-THE-WEEK; STOCK RETURNS; RATES; TIME
Abstract:
This paper aims at providing an introduction to the behavior of authors
submitting a paper to a scientific journal. Dates of electronic
submission of papers to the Journal of the Serbian Chemical Society have
been recorded from the 1st January 2013 till the 31st December 2014,
thus over 2 years. There is no Monday or Friday effect like in financial
markets, but rather a Tuesday-Wednesday effect occurs: papers are more
often submitted on Wednesday; however, the relative number of going to
be accepted papers is larger if these are submitted on Tuesday. On the
other hand, weekend days (Saturday and Sunday) are not the best days to
finalize and submit manuscripts. An interpretation based on the type of
submitted work ("experimental chemistry") and on the influence of
(senior) coauthors is presented. A thermodynamic connection is proposed
within an entropy context. A (new) entropic distance is defined in order
to measure the "opaqueness" = disorder) of the submission process. (C)
2016 Elsevier B.V. All rights reserved.
Reprint Address:
Ausloos, M (reprint author), Univ Leicester, Sch Management, Univ Rd, Leicester LE1 7RH, Leics, England.Ausloos, M (reprint author), Royal Netherlands Acad Arts & Sci NKVA, eHumanities Grp, Joan Muyskenweg 25, NL-1096 CJ Amsterdam, Netherlands.Ausloos, M (reprint author), GRAPES, Rue Belle Jardiniere 483, B-4031 Angleur, Belgium.
Addresses:
[Ausloos, Marcel] Univ Leicester, Sch Management, Univ Rd, Leicester LE1 7RH, Leics, England.
[Ausloos, Marcel] Royal Netherlands Acad Arts & Sci NKVA, eHumanities Grp, Joan Muyskenweg 25, NL-1096 CJ Amsterdam, Netherlands.
[Ausloos, Marcel] GRAPES, Rue Belle Jardiniere 483, B-4031 Angleur, Belgium.
[Nedic, Olgica] Univ Belgrade, Inst Applicat Nucl Energy INEP, Banatska 31b, Belgrade, Serbia.
[Dekanski, Aleksandar] Univ Belgrade, Dept Electrochem, Inst Chem Technol & Met, Njegoseva 12, Belgrade, Serbia.
E-mail Addresses:
marcel.ausloos at ulg.ac.be; olgica at inep.co.rs; dekanski at ihtm.bg.ac.rs
Cited Reference Count:
24
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0378-4371
eISSN:
1873-2119
Web of Science Categories:
Physics, Multidisciplinary
Research Areas:
Physics
IDS Number:
DM9NR
Unique ID:
WOS:000376693500020
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Abu Bakar Azizah, 2014, JOURNAL OF FORECASTING, V33, P409
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Title:
*Bibliometric* analysis of poison center-related research published in peer-review *journals*
Authors:
Forrester, MB
Author Full Names:
Forrester, M. B.
Source:
HUMAN & EXPERIMENTAL TOXICOLOGY, 35 (7):705-712; 10.1177/0960327115598386 JUL 2016
Language:
English
Document Type:
Article
Author Keywords:
Bibliometric analysis, poison center, publication
KeyWords Plus:
10-YEAR PERIOD 2003-2012; RESEARCH PRODUCTIVITY; INFORMATION-SERVICE; DETERGENT PACKS; UNITED-STATES; TOXICOLOGY; EXPOSURE; QUALITY; DOGS; DOCUMENTATION
Abstract:
Poison centers advance knowledge in the field of toxicology through
publication in peer-review journals. This investigation describes the
pattern of poison center-related publications. Cases were poison
center-related research published in peer-review journals during
1995-2014. These were identified through searching the PubMed database,
reviewing the tables of contents of selected toxicology journals, and
reviewing abstracts of various national and international meetings. The
following variables for each publication were identified: year of
publication, journal, type of publication (meeting abstract vs. other,
i.e. full article or letter to the editor), and the country(ies) of the
poison center(s) included in the research. Of the 3147 total
publications, 62.1% were meeting abstracts. There were 263 publications
in 1995-1999, 536 in 2000-2004, 999 in 2005-2009, and 1349 in 2010-2014.
The publications were in 234 different journals. The journals in which
the highest number of research was published were Clinical Toxicology
(69.7%), Journal of Medical Toxicology (2.2%), and Veterinary and Human
Toxicology (2.1%). The research was reported from 62 different
countries. The countries with the highest number of publications were
the United States (67.9%), United Kingdom (6.5%), Germany (3.9%), France
(2.5%), and Italy (2.4%). The number of publications increased greatly
over the 20 years. Although the publications were in a large number of
journals, a high proportion of the publications were in one journal.
While the research came from a large number of countries, the
preponderance came from the United States.
Reprint Address:
Forrester, MB (reprint author), Texas Dept State Hlth Serv, Environm Epidemiol & Dis Registries Sect, 1100 W 49th St, Austin, TX 78756 USA.
Addresses:
[Forrester, M. B.] Texas Dept State Hlth Serv, Austin, TX 78756 USA.
E-mail Addresses:
mathias.forrester at dshs.state.tx.us
Cited Reference Count:
37
Times Cited:
0
Publisher:
SAGE PUBLICATIONS LTD, 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
ISSN:
0960-3271
eISSN:
1477-0903
Web of Science Categories:
Toxicology
Research Areas:
Toxicology
IDS Number:
DN5JF
Unique ID:
WOS:000377102000002
PubMed ID:
26240162
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Title:
Cloud computing research in the IS discipline: A *citation*/*co-citation analysis*
Authors:
Wang, NX; Liang, HG; Jia, Y; Ge, SL; Xue, YJ; Wang, ZN
Author Full Names:
Wang, Nianxin; Liang, Huigang; Jia, Yu; Ge, Shilun; Xue, Yajiong; Wang,
Zhining
Source:
DECISION SUPPORT SYSTEMS, 86 35-47; 10.1016/j.dss.2016.03.006 JUN 2016
Language:
English
Document Type:
Article
Author Keywords:
Cloud computing, Literature review, Citation analysis, Co-citation analysis, Social network analysis, Information system research
KeyWords Plus:
AS-A-SERVICE; AUTHOR COCITATION ANALYSIS; DECISION-SUPPORT-SYSTEMS; MAIN-PATH-ANALYSIS; INTELLECTUAL STRUCTURE; SOCIAL NETWORKS; SOFTWARE; MANAGEMENT; DEMAND; ENVIRONMENTS
Abstract:
Cloud computing is one of the hottest topics in the field of information
systems. In this paper, we conduct a citation and co-citation analysis
on cloud computing research published in the 11-year period from 2004 to
2014. A total of 214 papers were selected from 20 leading academic
journals in IS and management and 2 prominent international IS
conferences for our analysis. In the citation analysis, we rely on the
degree centrality and betweenness centrality to identify 41 important
papers. In addition, our main path analysis reveals three development
stages of cloud computing research: the incubation stage, the
exploration stage, and the burgeoning stage. In the co-citation
analysis, we employ a principal component factor analysis of the
co-citation matrix to identify six major research themes: foundations,
SaaS model, security and risk, literature review, adoption and impacts,
and modeling. This is among the first studies to examine the knowledge
structure of cloud computing research in the IS discipline by using
evidence-based analysis methods. Recommendations for future research
directions in cloud computing are provided based on our analysis. (c)
2016 Elsevier B.V. All rights reserved.
Reprint Address:
Ge, SL (reprint author), Jiangsu Univ Sci & Technol, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China.Liang, HG (reprint author), E Carolina Univ, Coll Business, Greenville, NC 27858 USA.
Addresses:
[Wang, Nianxin; Jia, Yu; Ge, Shilun] Jiangsu Univ Sci & Technol, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China.
[Liang, Huigang; Xue, Yajiong] E Carolina Univ, Coll Business, Greenville, NC 27858 USA.
[Wang, Zhining] China Univ Min & Technol, Sch Management, Beijing, Peoples R China.
E-mail Addresses:
nianxin.wang at gmail.com; huigang.liang at gmail.com; rebitth at live.cn; jzgsl at jzerp.com; yajiong.xue at gmail.com; wzncumt at 163.com
Funding Acknowledgement:
Key Program of National Science Foundation of China [71331003]; General Program of National Science Foundation of China [71471079, 71471080, 71302140, 71271104]
Funding Text:
This research is partly supported by the Key Program of National Science Foundation of China (grant number: 71331003) and the General Program of National Science Foundation of China (grant numbers: 71471079, 71471080, 71302140, and 71271104).
Cited Reference Count:
91
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
0167-9236
eISSN:
1873-5797
Web of Science Categories:
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Operations Research & Management Science
Research Areas:
Computer Science; Operations Research & Management Science
IDS Number:
DN1EF
Unique ID:
WOS:000376808400004
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Title:
A Systematic Review of Perennial Staple Crops Literature Using Topic Modeling and *Bibliometric* Analysis
Authors:
Kane, DA; Roge, P; Snapp, SS
Author Full Names:
Kane, Daniel A.; Roge, Paul; Snapp, Sieglinde S.
Source:
PLOS ONE, 11 (5):10.1371/journal.pone.0155788 MAY 23 2016
Language:
English
Document Type:
Review
KeyWords Plus:
GRAIN CROPS; AGRICULTURE; PROGRESS; ECOLOGY
Abstract:
Research on perennial staple crops has increased in the past ten years
due to their potential to improve ecosystem services in agricultural
systems. However, multiple past breeding efforts as well as research on
traditional ratoon systems mean there is already a broad body of
literature on perennial crops. In this review, we compare the
development of research on perennial staple crops, including wheat,
rice, rye, sorghum, and pigeon pea. We utilized the advanced search
capabilities of Web of Science, Scopus, ScienceDirect, and Agricola to
gather a library of 914 articles published from 1930 to the present. We
analyzed the meta-data in the entire library and in collections of
literature on each crop to understand trends in research and publishing.
In addition, we applied topic modeling to the article abstracts, a type
of text analysis that identifies frequently co-occurring terms and
latent topics. We found: 1.) Research on perennials is increasing
overall, but individual crops have each seen periods of heightened
interest and research activity; 2.) Specialist journals play an
important role in supporting early research efforts. Research often
begins within communities of specialists or breeders for the individual
crop before transitioning to a more general scientific audience; 3.)
Existing perennial agricultural systems and their domesticated crop
material, such as ratoon rice systems, can provide a useful foundation
for breeding efforts, accelerating the development of truly perennial
crops and farming systems; 4.) Primary research is lacking for crops
that are produced on a smaller scale globally, such as pigeon pea and
sorghum, and on the ecosystem service benefits of perennial agricultural
systems.
Reprint Address:
Kane, DA (reprint author), Michigan State Univ, Dept Plant Soil & Microbial Sci, E Lansing, MI 48824 USA.
Addresses:
[Kane, Daniel A.; Roge, Paul; Snapp, Sieglinde S.] Michigan State Univ, Dept Plant Soil & Microbial Sci, E Lansing, MI 48824 USA.
E-mail Addresses:
kanedan1 at msu.edu
Funding Acknowledgement:
Bill and Melinda Gates Foundation
Funding Text:
This study was funded by the Bill and Melinda Gates Foundation (https://urldefense.proofpoint.com/v2/url?u=http-3A__www.gatesfoundation.org_&d=CwIDaQ&c=4ZIZThykDLcoWk-GVjSLm9hvvvzvGv0FLoWSRuCSs5Q&r=vRiNzru59BAfO6003ni0ofMdud6wACdOl4NEZ68Ux6-ofOOVYc3VAwgeWOn3CI_F&m=wZIzAHug9bMTEB4kSY2h-AAI0bVrTwmbJIHMhciSKsI&s=QQv8EoXBjYtrnsyBBQNXRNyRTqvonmHF-z2_iMqXPeI&e= ), grant: "Perennial grain crops for African smallholder farming systems." The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Cited Reference Count:
37
Times Cited:
0
Publisher:
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
ISSN:
1932-6203
Article Number:
e0155788
Web of Science Categories:
Multidisciplinary Sciences
Research Areas:
Science & Technology - Other Topics
IDS Number:
DN2FT
Unique ID:
WOS:000376880200023
PubMed ID:
27213283
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Title:
USING EXPERT JUDGMENTS TO RANK 45 LATIN AMERICAN BUSINESS *JOURNALS*
Authors:
Olavarrieta, S
Author Full Names:
Olavarrieta, Sergio
Source:
RAE-REVISTA DE ADMINISTRACAO DE EMPRESAS, 56 (3):302-314; 10.1590/S0034-759020160304 MAY-JUN 2016
Language:
English
Document Type:
Article
Author Keywords:
Scientifics journals, ranking, Latin America, scientific production, business research
KeyWords Plus:
OPERATIONS MANAGEMENT; FINANCE JOURNALS; ECONOMICS; IMPACT; PERCEPTIONS; CONSUMER; LANGUAGE
Abstract:
This article presents the results of a study on the perception of
quality of Latin American business journals based on the judgment of
relevant experts - senior professors with knowledge of Latin American
research and journals. Forty-five journals were included in the study.
The highest perceived quality scores were given to Academia (CLADEA -
Uniandes), RAE (Fundacao Getulio Vargas), and Innovar (Universidad
Nacional de Colombia). When perceived quality was weighted by awareness,
Academia, LABR-Latin American Business Review (University of San Diego -
Coppead), and Innovar had the highest scores. Results complement a
recent study by Ruiz-Torres, Penkova, and Villafane (2012) that focused
on management journals published in Spanish. Analysis of results
suggests that language and branding have an effect on the perception of
journal quality. Implications for editors/publishers, tenure, promotion,
research grant committees, and authors are provided.
Reprint Address:
Olavarrieta, S (reprint author), Univ Chile, Fac Econ & Negocios, Santiago, Chile.
Addresses:
[Olavarrieta, Sergio] Univ Chile, Fac Econ & Negocios, Santiago, Chile.
E-mail Addresses:
solavarrietas at gmail.com
Cited Reference Count:
41
Times Cited:
0
Publisher:
FUNDACAO GETULIO VARGAS, ESCOLA ADMIN EMPRESAS SAO PAULO, AV 9 DE JULHO, 2-029, BELA VISTA, SAO PAULO SP, 01313-902, BRAZIL
ISSN:
0034-7590
Web of Science Categories:
Management
Research Areas:
Business & Economics
IDS Number:
DN6AI
Unique ID:
WOS:000377152600004
Cited References:
Currie Russell R., 2011, JOURNAL OF BANKING & FINANCE, V35, P7
Oltheten E, 2005, JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, V40, P223
Ruiz-Torres A., 2012, Academia:Revista Lationamericana de Administracion, V51, P48
Harzing Anne-Wil, 2015, SCIENTOMETRICS, V102, P727
LECLERC F, 1994, JOURNAL OF MARKETING RESEARCH, V31, P263
Bryant M., 2013, Journal of Teaching in International Business, V24, P155
NIEMI AW, 1988, REVIEW OF BUSINESS AND ECONOMIC RESEARCH, V23, P1
Olavarrieta Soto Sergio, 2009, INNOVAR-REVISTA DE CIENCIAS ADMINISTRATIVAS Y SOCIALES, V19, P9
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Worrell Dan L., 2009, ACADEMY OF MANAGEMENT LEARNING & EDUCATION, V8, P127
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Brown L. D., 1994, Contemporary Accounting Research, V11, P223
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Aguado-Lopez Eduardo, 2014, INTERCIENCIA, V39, P570
Australian Business Deans Council, 2013, ABDC Journal Quality List 2013,
Shugan SM, 2003, MARKETING SCIENCE, V22, P437
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NIEMI AW, 1987, JOURNAL OF FINANCE, V42, P1389
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The American Society for Cell Biology, 2012, DORA: San Francisco Declaration on 'Research Assessment,
Harzing Anne-Wil, 2009, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V60, P41
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Van Fleet DD, 2000, JOURNAL OF MANAGEMENT, V26, P839
Hult GTM, 2009, Global EDGE Business Review, V3, P1
Nicholls-Nixon Charlene L., 2011, JOURNAL OF MANAGEMENT, V37, P1178
Harzing A. W, 2016, Academy of Management Learning & Education, V15, P140
Tejada-Gomez M. A., 2013, Revista Espanola de Documentacion Cientifica, V36, P1
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Title:
Structural assessment of Iranian scholarly *journals*
Authors:
Ghane, MR
Author Full Names:
Ghane, Mohammad Reza
Source:
MALAYSIAN JOURNAL OF LIBRARY & INFORMATION SCIENCE, 21 (1):69-81; 2016
Language:
English
Document Type:
Article
Author Keywords:
Academic journal assessment, Layout quality, Editorial board, Publication frequency, Peer-reviewed journals
KeyWords Plus:
CITATIONS
Abstract:
Scholarly journals should adhere to quantitative and qualitative
standards for their continuing existence and acceptance by the
scientific community, making them eligible for application and
indexation in international databases. Concerning this, the journal
editorial board would be held accountable for any flaws in publication
standards. Obviously, improving standards causes perpetual scholarly
communication between authors and journal editors as well as publishers,
accreditation and quality assurance, and research finding dissemination.
The objective of this study is to assess the status of 359 scientific
journals in Iran with regards to their commitment to publication
standards. The findings depict journals' strengths and weaknesses in
relation to the editorial profile, instant references, layout quality,
exclusive features, academic profile, and miscellaneous features.
Reprint Address:
Ghane, MR (reprint author), RICeST, Res Dept Evaluat & Collect Dev, Jam E Jam Ave,Jomhouri Blvd, Shiraz 7194694171, Iran.
Addresses:
[Ghane, Mohammad Reza] RICeST, Res Dept Evaluat & Collect Dev, Jam E Jam Ave,Jomhouri Blvd, Shiraz 7194694171, Iran.
E-mail Addresses:
ghane at ricest.ac.ir
Cited Reference Count:
24
Times Cited:
0
Publisher:
UNIV MALAYA, FAC COMPUTER SCIENCE & INFORMATION TECH, UNIV MALAYA, FAC COMPUTER SCIENCE & INFORMATION TECH, KUALA LUMPUR, 50603, MALAYSIA
ISSN:
1394-6234
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
DI4OR
Unique ID:
WOS:000373479700005
Cited References:
Abrizah A., 2013, SERIALS REVIEW, V39, P47
Committee on Publication Ethics COPE, 2011, Code of conduct and best practice guidelines for journal editors,
Bordons M., 2004, Serials, V17, P189
Public Knowledge Project PKP, 2015, Module 10: Journal visibility II: Getting indexed: Unit 2: Why you need to be included,
Singh S., 2006, What medicine means to me, V4,
Ball Philip, 2008, NATURE, V455, P274
OMoore-Klopf K., 2010, International Society of Managing and Technical Editors, V3,
Ackermann E, 2006, SCIENTOMETRICS, V66, P451
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Graf Chris, 2007, INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, V61, P1
Testa J., 2016, The Thomson Reuters journal selection process,
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Liu Xue-Li, 2012, MALAYSIAN JOURNAL OF LIBRARY & INFORMATION SCIENCE, V17, P7
Priem Jason, 2012, FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, V6,
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[Anonymous], 2014,
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Title:
The Most-*Cited Articles* from the Minnesota Law Review
Authors:
Shapiro, FR
Author Full Names:
Shapiro, Fred R.
Source:
MINNESOTA LAW REVIEW, 100 (5):1735-1744; 2016
Language:
English
Document Type:
Article
Reprint Address:
Shapiro, FR (reprint author), Yale Univ, Sch Law, Collect & Access, New Haven, CT 06520 USA.Shapiro, FR (reprint author), Yale Univ, Sch Law, Legal Res, New Haven, CT 06520 USA.
Addresses:
[Shapiro, Fred R.] Yale Univ, Sch Law, Collect & Access, New Haven, CT 06520 USA.
[Shapiro, Fred R.] Yale Univ, Sch Law, Legal Res, New Haven, CT 06520 USA.
Cited Reference Count:
9
Times Cited:
1
Publisher:
MINN LAW REVIEW FOUND, 229 19TH AVE SOUTH UNIV MINNESOTA, MINNEAPOLIS, MN 55455 USA
ISSN:
0026-5535
Web of Science Categories:
Law
Research Areas:
Government & Law
IDS Number:
DN6TM
Unique ID:
WOS:000377209200002
Cited References:
Countryman Vern, 1973, MINN. L. REV., V57, P439
PROSSER WILLIAM L., 1941,
CALVERT RW, 1960, TEXAS LAW REVIEW, V38, P361
FREEMAN AD, 1978, MINNESOTA LAW REVIEW, V62, P1049
LAWANI SM, 1983, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V34, P59
[Anonymous], WASH. & LEE U. SCH. OF L. L. LIBRARY,
Amsterdam Anthony G., 1974, MINN. L. REV, V58, P349
PROSSER WL, 1966, MINNESOTA LAW REVIEW, V50, P791
Lawani Stephen M., 1983, J. AM. SOC'Y FOR INFO. SCI., V34, P61
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