Papers of interest to readers of Sig-Metrics List
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Thu Jan 9 12:18:35 EST 2014
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Title:
A proposal for a novel impact factor as an alternative to the JCR impact factor
Authors:
Yang, ZG; Zhang, CT
Author Full Names:
Yang, Zu-Guo; Zhang, Chun-Ting
Source:
SCIENTIFIC REPORTS, 3 10.1038/srep03410 DEC 3 2013
Language:
English
Document Type:
Article
KeyWords Plus:
H-INDEX; HIRSCH-INDEX; CITATION DISTRIBUTIONS; JOURNALS; SCIENCE; OUTPUT; MODEL
Abstract:
One disadvantage of the JCR impact factor, the most commonly used
assessment tool for ranking and evaluating scientific journals, is its
inability in distinguishing among different shapes of citation
distribution curves, leading to unfair evaluation of journals in some
cases. This paper aims to put forward an alternative impact factor (IF')
that can properly reflect citation distributions. The two impact factors
are linearly and positively correlated, and have roughly the same order
of magnitude. Because of the ability of IF' in distinguishing among
different shapes of citation distribution curves, IF' may properly
reflect the academic performance of a scientific journal in a way that
is different from the JCR impact factor with some unique features that
reward journals with highly cited papers. Therefore, it is suggested
that IF' could be used to complement the JCR impact factor.
Addresses:
[Yang, Zu-Guo] Tianjin Univ, Tianjin 300072, Peoples R China.
[Zhang, Chun-Ting] Tianjin Univ, Dept Phys, Tianjin 300072, Peoples R China.
E-mail Addresses:
ctzhang at tju.edu.cn
Funding Acknowledgement:
Research Foundation of the ISTIC-Thomson Reuters Joint Lab for Scientometrics Research [IT2010014]; National Social Science Foundation of China [11BTQ022]
Funding Text:
We thank Dr. F Gao for the help in preparing Fig. 1 and Fig. 2. The present study was supported in part by the Research Foundation of the ISTIC-Thomson Reuters Joint Lab for Scientometrics Research (No. IT2010014) and National Social Science Foundation of China (No. 11BTQ022), both to ZGY.
Cited Reference Count:
34
Times Cited:
0
Publisher:
NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
ISSN:
2045-2322
Article Number:
Web of Science Categories:
Multidisciplinary Sciences
Research Areas:
Science & Technology - Other Topics
IDS Number:
263CO
Unique ID:
WOS:000327784400007
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Title:
Give me a hi-5! An additional version of the h-index
Authors:
Hunt, GE; McGregor, IS; Malhi, GS
Author Full Names:
Hunt, Glenn E.; McGregor, Iain S.; Malhi, Gin S.
Source:
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, 47 (12):1119-1123; 10.1177/0004867413513506 DEC 2013
Language:
English
Document Type:
Article
Author Keywords:
Bibliometrics, citations, h-index
KeyWords Plus:
BIBLIOMETRIC INDICATORS; RESEARCH OUTPUT; IMPACT; CITATIONS; PURPOSES; FACTS
Addresses:
[Hunt, Glenn E.; Malhi, Gin S.] Univ Sydney, Sydney Med Sch, Discipline Psychiat, Sydney, NSW 2006, Australia.
[Hunt, Glenn E.] Concord Hosp, Concord Ctr Mental Hlth, Concord, NSW 2139, Australia.
[McGregor, Iain S.] Univ Sydney, Sch Psychol, Sydney, NSW 2006, Australia.
[Malhi, Gin S.] Royal N Shore Hosp, CADE Clin, St Leonards, NSW 2065, Australia.
E-mail Addresses:
glenn.hunt at sydney.edu.au
Cited Reference Count:
21
Times Cited:
0
Publisher:
SAGE PUBLICATIONS LTD, 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
ISSN:
0004-8674
Web of Science Categories:
Psychiatry
Research Areas:
Psychiatry
IDS Number:
257FR
Unique ID:
WOS:000327369500007
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Title:
Sport management: a bibliometric study on central themes and trends
Authors:
Ciomaga, B
Author Full Names:
Ciomaga, Bogdan
Source:
EUROPEAN SPORT MANAGEMENT QUARTERLY, 13 (5):557-578; 10.1080/16184742.2013.838283 DEC 1 2013
Language:
English
Document Type:
Article
Author Keywords:
sport management, bibliometric, legitimacy
KeyWords Plus:
CO-CITATION ANALYSIS; COCITATION ANALYSIS; ENTREPRENEURSHIP-RESEARCH; INTELLECTUAL STRUCTURE; INFORMATION-SCIENCE; SERVICE QUALITY; RESEARCH FRONT; ORGANIZATIONS; FIELD; PERSPECTIVE
Abstract:
Prompted by the scarcity of analyses of the directions in which sport
management research has so far evolved, this study attempts to fill this
gap by mapping the most important historical trends that have
characterised this discipline. In order to achieve this purpose, a
bibliometric analysis is employed, applying citation and co-citation
analyses to citations from articles published in three sport management
journals between 1987 and 2010. The co-citation relationships between
references are analysed by applying a dense network subgrouping
algorithm, which generates a number of clusters of influential works.
The results point out a number of dominant trends influential over the
entire period covered, focused on change in organisations, consumer
motivation in sport marketing and diversity in organisations. Less
influential trends reflect an interest in the impact of sport events,
sport economics and in the status of sport management as an area of
research.
Addresses:
Brock Univ, Dept Sport Management, St Catharines, ON L2S 3A1, Canada.
E-mail Addresses:
bc10fs at brocku.ca
Cited Reference Count:
135
Times Cited:
0
Publisher:
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND
ISSN:
1618-4742
Web of Science Categories:
Hospitality, Leisure, Sport & Tourism
Research Areas:
Social Sciences - Other Topics
IDS Number:
269LU
Unique ID:
WOS:000328243600004
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Title:
The future h-index is an excellent way to predict scientists' future impact
Authors:
Acuna, DE; Penner, O; Orton, CG
Author Full Names:
Acuna, Daniel E.; Penner, Orion; Orton, Colin G.
Source:
MEDICAL PHYSICS, 40 (11):10.1118/1.4816659 NOV 2013
Language:
English
Document Type:
Editorial Material
Addresses:
[Acuna, Daniel E.] Rehabil Inst Chicago, Dept Biomed Engn, Chicago, IL 60611 USA.
[Acuna, Daniel E.] Northwestern Univ, Chicago, IL 60611 USA.
[Penner, Orion] IMT Inst Adv Studies, Lab Innovat Management & Econ, I-55100 Lucca, Italy.
[Orton, Colin G.] Wayne State Univ, Detroit, MI USA.
E-mail Addresses:
daniel.acuna at northwestern.edu; orion.penner at gmail.com; ortonc at comcast.net
Cited Reference Count:
15
Times Cited:
0
Publisher:
AMER ASSOC PHYSICISTS MEDICINE AMER INST PHYSICS, STE 1 NO 1, 2 HUNTINGTON QUADRANGLE, MELVILLE, NY 11747-4502 USA
ISSN:
0094-2405
Article Number:
110601
Web of Science Categories:
Radiology, Nuclear Medicine & Medical Imaging
Research Areas:
Radiology, Nuclear Medicine & Medical Imaging
IDS Number:
252FZ
Unique ID:
WOS:000326991800001
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Title:
Reforming research assessment
Authors:
Schekman, R; Patterson, M
Author Full Names:
Schekman, Randy; Patterson, Mark
Source:
ELIFE, 2 10.7554/eLife.00855 MAY 16 2013
Language:
English
Document Type:
Editorial Material
E-mail Addresses:
editorial at elifesciences.org
Cited Reference Count:
7
Times Cited:
0
Publisher:
ELIFE SCIENCES PUBLICATIONS LTD, SHERATON HOUSE, CASTLE PARK, CAMBRIDGE, CB3 0AX, ENGLAND
ISSN:
2050-084X
Article Number:
Web of Science Categories:
Biology
Research Areas:
Life Sciences & Biomedicine - Other Topics
IDS Number:
274OF
Unique ID:
WOS:000328615100001
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Title:
Implications of a Single Highly Cited Article on a Journal and Its Citation Indexes: A Tale of Two Journals
Authors:
Foo, JYA
Author Full Names:
Foo, Jong Yong Abdiel
Source:
ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE, 20 (2):93-106; 10.1080/08989621.2013.767124 MAR 4 2013
Language:
English
Document Type:
Article
Author Keywords:
bibliometric data, indexing, publication ethics, research integrity, research misconduct
KeyWords Plus:
IMPACT FACTOR; FOLIA-PHONIATRICA; LOGOPAEDICA; HISTORY; SCIENCE; AUTHOR; SHELX
Abstract:
Citation indexes such as journal impact factor are increasingly used to
evaluate the quality of a scholarly work and/or assess one's scientific
contributions. However, this simplistic approach has increasingly been
refuted with publication gaming and incorrect applications to rank one's
academic significance. These indexes are being game not only by
researchers but also subtly by journal editors. Although the attention
drawn from the public pertaining to such misbehaviors from editors is
limited, the associated implications cannot be undermined. In this
article, the focus will be on the motivations, impacts, and lessons
learnt from how single highly cited article can have on the reactions
from and the reputation of two academic journals: Folia Phoniatrica et
Logopaedica and Acta Crystallographica Section A. For the former, it
adopted an unconventional approach to improve its prominence in the
field while the latter reiterates the correct and the original intent of
citation indexes, as well as the importance of good editorial
governance. From these incidents, few considerations are proposed to
assist in minimising the recurrence of possible publication gaming in
the editorial process. However, the inherent ethical values of an
individual should still take precedence of any preventive measure.
Addresses:
Ngee Ann Polytech, Elect & Comp Engn Div, Sch Engn, Singapore 599489, Singapore.
E-mail Addresses:
faj2 at np.edu.sg
Cited Reference Count:
33
Times Cited:
0
Publisher:
TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
ISSN:
0898-9621
Web of Science Categories:
Medical Ethics
Research Areas:
Medical Ethics
IDS Number:
262SS
Unique ID:
WOS:000327758500003
Cited References:
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Title:
Gender differences in research collaboration
Authors:
Abramo, G; D'Angelo, CA; Murgia, G
Author Full Names:
Abramo, Giovanni; D'Angelo, Ciriaco Andrea; Murgia, Gianluca
Source:
JOURNAL OF INFORMETRICS, 7 (4):811-822; 10.1016/j.joi.2013.07.002 2013
Language:
English
Document Type:
Article
Author Keywords:
Research collaboration, Collaboration patterns, Gender, Bibliometrics, University
KeyWords Plus:
SEX-DIFFERENCES; SCIENTIFIC PRODUCTIVITY; RESEARCH PERFORMANCE; GEOGRAPHIC-MOBILITY; ACADEMIC MEDICINE; SCIENCE; WOMEN; AUTHORSHIP; PATTERNS; CONSTRAINTS
Abstract:
The debate on the role of women in the academic world has focused on
various phenomena that could be at the root of the gender gap seen in
many nations. However, in spite of the ever more collaborative character
of scientific research, the issue of gender aspects in research
collaborations has been treated in a marginal manner. In this article we
apply an innovative bibliometric approach based on the propensity for
collaboration by individual academics, which permits measurement of
gender differences in the propensity to collaborate by fields,
disciplines and forms of collaboration: intramural, extramural domestic
and international. The analysis of the scientific production of Italian
academics shows that women researchers register a greater capacity to
collaborate in all the forms analyzed, with the exception of
international collaboration, where there is still a gap in comparison to
male colleagues. (C) 2013 Elsevier Ltd. All rights reserved.
Addresses:
[Abramo, Giovanni] CNR, Lab Studies Res & Technol Transfer, Inst Syst Anal & Comp Sci IASI CNR, Rome, Italy.
[D'Angelo, Ciriaco Andrea] Univ Roma Tor Vergata, Sch Engn, Dept Management, Rome, Italy.
[Murgia, Gianluca] Univ Siena, I-53100 Siena, Italy.
E-mail Addresses:
giovanni.abramo at uniroma2.it; dangelo at dii.uniroma2.it; murgia at dii.unisi.it
Cited Reference Count:
68
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400006
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*Record 17 of 30.
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Title:
Universality of scholarly impact metrics
Authors:
Kaur, J; Radicchi, F; Menczer, F
Author Full Names:
Kaur, Jasleen; Radicchi, Filippo; Menczer, Filippo
Source:
JOURNAL OF INFORMETRICS, 7 (4):924-932; 10.1016/j.joi.2013.09.002 2013
Language:
English
Document Type:
Article
Author Keywords:
Impact metrics, Discipline bias, Universality, Bibliometrics
KeyWords Plus:
SCIENTIFIC IMPACT; SCIENCE; INDICATORS; INDEX
Abstract:
Given the growing use of impact metrics in the evaluation of scholars,
journals, academic institutions, and even countries, there is a critical
need for means to compare scientific impact across disciplinary
boundaries. Unfortunately, citation-based metrics are strongly biased by
diverse field sizes and publication and citation practices. As a result,
we have witnessed an explosion in the number of newly proposed metrics
that claim to be "universal." However, there is currently no way to
objectively assess whether a normalized metric can actually compensate
for disciplinary bias. We introduce a new method to assess the
universality of any scholarly impact metric, and apply it to evaluate a
number of established metrics. We also define a very simple new metric
h(s), which proves to be universal, thus allowing to compare the impact
of scholars across scientific disciplines. These results move us closer
to a formal methodology in the measure of scholarly impact. Published by
Elsevier Ltd.
Addresses:
[Kaur, Jasleen; Radicchi, Filippo; Menczer, Filippo] Indiana Univ, Ctr Complex Networks & Syst Res, Sch Informat & Comp, Bloomington, IN 47405 USA.
E-mail Addresses:
jakaur at umail.iu.edu
Cited Reference Count:
27
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400017
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*Record 18 of 30.
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Title:
A systematic empirical comparison of different approaches for normalizing citation impact indicators
Authors:
Waltman, L; van Eck, NJ
Author Full Names:
Waltman, Ludo; van Eck, Nees Jan
Source:
JOURNAL OF INFORMETRICS, 7 (4):833-849; 10.1016/j.joi.2013.08.002 2013
Language:
English
Document Type:
Article
Author Keywords:
Citation, Classification system, Normalization, Source normalization
KeyWords Plus:
NATIONAL RESEARCH PERFORMANCE; FIELD-NORMALIZATION; SCIENTIFIC EXCELLENCE; BIBLIOMETRIC TOOLS; AUDIENCE FACTOR; CROSS-FIELD; SCIENCE; FAIRNESS; JOURNALS; RANKINGS
Abstract:
We address the question how citation-based bibliometric indicators can
best be normalized to ensure fair comparisons between publications from
different scientific fields and different years. In a systematic
large-scale empirical analysis, we compare a traditional normalization
approach based on a field classification system with three source
normalization approaches. We pay special attention to the selection of
the publications included in the analysis. Publications in national
scientific journals, popular scientific magazines, and trade magazines
are not included. Unlike earlier studies, we use algorithmically
constructed classification systems to evaluate the different
normalization approaches. Our analysis shows that a source normalization
approach based on the recently introduced idea of fractional citation
counting does not perform well. Two other source normalization
approaches generally outperform the classification-system-based
normalization approach that we study. Our analysis therefore offers
considerable support for the use of source-normalized bibliometric
indicators. (C) 2013 Elsevier Ltd. All rights reserved.
Addresses:
[Waltman, Ludo; van Eck, Nees Jan] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands.
E-mail Addresses:
waltmanlr at cwts.leidenuniv.nl; ecknjpvan at cwts.leidenuniv.nl
Cited Reference Count:
45
Times Cited:
1
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400008
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*Record 19 of 30.
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Title:
Scientific impact assessment cannot be fair
Authors:
Gagolewski, M
Author Full Names:
Gagolewski, Marek
Source:
JOURNAL OF INFORMETRICS, 7 (4):792-802; 10.1016/j.joi.2013.07.001 2013
Language:
English
Document Type:
Article
Author Keywords:
Impact functions, Aggregation, Decision making, Preference modeling, Hirsch's h-index, Scientometrics, Bibliometrics
KeyWords Plus:
H-INDEX; AXIOMATIC ANALYSIS; HIRSCH-INDEX; OUTPUT
Abstract:
In this paper we deal with the problem of aggregating numeric sequences
of arbitrary length that represent e.g. citation records of scientists.
Impact functions are the aggregation operators that express as a single
number not only the quality of individual publications, but also their
author's productivity.
We examine some fundamental properties of these aggregation tools. It
turns out that each impact function which always gives indisputable
valuations must necessarily be trivial. Moreover, it is shown that for
any set of citation records in which none is dominated by the other, we
may construct an impact function that gives any a priori-established
authors' ordering. Theoretically then, there is considerable room for
manipulation in the hands of decision makers.
We also discuss the differences between the impact function-based and
the multicriteria decision making-based approach to scientific quality
management, and study how the introduction of new properties of impact
functions affects the assessment process. We argue that simple
mathematical tools like the h- or g-index (as well as other bibliometric
impact indices) may not necessarily be a good choice when it comes to
assess scientific achievements. (C) 2013 Elsevier Ltd. All rights
reserved.
Addresses:
[Gagolewski, Marek] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland.
[Gagolewski, Marek] Warsaw Univ Technol, Fac Math & Informat Sci, PL-00662 Warsaw, Poland.
E-mail Addresses:
gagolews at ibspan.waw.pl
Cited Reference Count:
25
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400004
Cited References:
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Egghe Leo, 2010, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V44, P65
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Woeginger Gerhard J., 2008, JOURNAL OF INFORMETRICS, V2, P364
Alonso S., 2009, JOURNAL OF INFORMETRICS, V3, P273
Woeginger Gerhard J., 2008, JOURNAL OF INFORMETRICS, V2, P298
Franceschini Fiorenzo, 2011, JOURNAL OF INFORMETRICS, V5, P64
Cena Anna, 2013, AGGREGATION FUNCTIONS IN THEORY AND IN PRACTISE7th International Summer School on Aggregation Operators (AGOP 2013), JUL 16-20, 2013, Pamplona, SPAIN, V228, P105
Bartneck Christoph, 2011, SCIENTOMETRICS, V87, P85
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Cena Anna, 2013, AGGREGATION FUNCTIONS IN THEORY AND IN PRACTISE7th International Summer School on Aggregation Operators (AGOP 2013), JUL 16-20, 2013, Pamplona, SPAIN, V228, P93
Bornmann Lutz, 2009, EMBO REPORTS, V10, P2
Gagolewski Marek, 2012, JOURNAL OF INFORMETRICS, V6, P566
Gagolewski Marek, 2013, SYNERGIES OF SOFT COMPUTING AND STATISTICS FOR INTELLIGENT DATA ANALYSIS6th International Conference on Soft Methods in Probability and Statistics, OCT 04-06, 2012, Konstanz, GERMANY, V190, P359
Franceschini Fiorenzo, 2009, QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, V25, P987
Nair Gopalan M., 2012, JOURNAL OF INFORMETRICS, V6, P80
Woeginger Gerhard J., 2008, MATHEMATICAL SOCIAL SCIENCES, V56, P224
Zhivotovsky Lev A., 2008, SCIENTOMETRICS, V77, P373
Torra Vicenc, 2008, IEEE TRANSACTIONS ON FUZZY SYSTEMS, V16, P795
Quesada Antonio, 2011, SCIENTOMETRICS, V87, P107
Grabisch M, 2009, AGGREGATION FUNCTIONS, V127, P1
Marchant Thierry, 2009, SCIENTOMETRICS, V80, P325
Gagolewski Marek, 2011, INTERNATIONAL JOURNAL OF APPROXIMATE REASONINGJoint World Congress of International-Fuzzy-Systems-Association (IFSA)/European Conference of European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT), JUL 20-24, 2009, Lisbon, PORTUGAL, V52, P1312
Quesada Antonio, 2009, JOURNAL OF INFORMETRICS, V3, P158
Quesada Antonio, 2010, SCIENTOMETRICS, V82, P413
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Title:
The Z-index: A geometric representation of productivity and impact which accounts for information in the entire rank-citation profile
Authors:
Petersen, AM; Succi, S
Author Full Names:
Petersen, Alexander M.; Succi, Sauro
Source:
JOURNAL OF INFORMETRICS, 7 (4):823-832; 10.1016/j.joi.2013.07.003 2013
Language:
English
Document Type:
Article
Author Keywords:
Science of science, Citation impact, Rank stability, h-Index
KeyWords Plus:
H-INDEX; DISTRIBUTIONS; UNIVERSALITY; INDICATORS; SCIENTISTS; CAREER
Abstract:
We present a simple generalization of Hirsch's h-index, Z = root h(2) +
C/root 5, where C is the total number of citations. Z is aimed at
correcting the potentially excessive penalty made by h on a scientist's
highly cited papers, because for the majority of scientists analyzed, we
find the excess citation fraction (C - h(2))/C to be distributed closely
around the value 0.75, meaning that 75% of the author's impact is
neglected. Additionally, Z is less sensitive to local changes in a
scientist's citation profile, namely perturbations which increase h
while only marginally affecting C. Using real career data for 476
physicists careers and 488 biologist careers, we analyze both the
distribution of Z and the rank stability of Z with respect to the Hirsch
index h and the Egghe index g. We analyze careers distributed across a
wide range of total impact, including top-cited physicists and
biologists for benchmark comparison. In practice, the Z-index requires
the same information needed to calculate h and could be effortlessly
incorporated within career profile databases, such as Google Scholar and
ResearcherID. Because Z incorporates information from the entire
publication profile while being more robust than h and g to local
perturbations, we argue that Z is better suited for ranking comparisons
in academic decision-making scenarios comprising a large number of
scientists. (C) 2013 Elsevier Ltd. All rights reserved.
Addresses:
[Petersen, Alexander M.] IMT Lucca Inst Adv Studies, I-55100 Lucca, Italy.
[Succi, Sauro] Ist Applicaz Calcolo CNR, Rome, Italy.
[Succi, Sauro] Freiburg Inst Adv Studies, D-79104 Freiburg, Germany.
E-mail Addresses:
petersen.xander at gmail.com
Cited Reference Count:
33
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400007
Cited References:
Martinez-Mekler Gustavo, 2009, PLOS ONE, V4,
Zhang Chun-Ting, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P625
Bornmann L., 2008, JASIST, V59, P001
Stephan P., 2012, How economics shapes science,
Radicchi Filippo, 2011, PHYSICAL REVIEW E, V83,
Petersen Alexander M., 2010, PHYSICAL REVIEW E, V82,
Radicchi Filippo, 2013, SCIENTOMETRICS, V97, P627
Bornmann Lutz, 2007, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V58, P1381
Redner S., 2010, JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT,
Petersen A. M., 2013, ArXive-print:1303.7274, P1
Waltman L, 2011, ArXiv:,1108.3901,
Lazer David, 2009, SCIENCE, V323, P721
Franzoni Chiara, 2011, SCIENCE, V333, P702
Petersen A. M., 2011, EUROPEAN PHYSICAL JOURNAL B, V79, P67
Penner O., 2013, ArXiv e-print: 1306.0114, P1
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Naumis G. G., 2008, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, V387, P84
Petersen Alexander M., 2011, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V108, P18
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
KULLBACK S, 1951, ANNALS OF MATHEMATICAL STATISTICS, V22, P79
Waltman L, 2009, ERIM Report, ERS-2009-043-LIS,
Petersen Alexander M., 2011, SCIENTIFIC REPORTS, V1,
Penner Orion, 2013, PHYSICS TODAY, V66, P8
Petersen Alexander M., 2012, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V109, P5213
Egghe Leo, 2006, SCIENTOMETRICS, V69, P131
Radicchi Filippo, 2009, PHYSICAL REVIEW E, V80,
ANVUR, 2012, La normalizzazione degli indicatori per l'eta accademica,
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Title:
The revised SNIP indicator of Elsevier's Scopus
Authors:
Leydesdorff, L
Author Full Names:
Leydesdorff, Loet
Source:
JOURNAL OF INFORMETRICS, 7 (4):859-860; 10.1016/j.joi.2013.08.003 2013
Language:
English
Document Type:
Letter
KeyWords Plus:
SOURCE NORMALIZED IMPACT; JOURNALS; PAPER
Addresses:
Univ Amsterdam, Amsterdam Sch Commun Res, NL-1012 CX Amsterdam, Netherlands.
E-mail Addresses:
loet at leydesdorff.net
Cited Reference Count:
21
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400010
Cited References:
Waltman Ludo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P2419
Gingras Yves, 2011, JOURNAL OF INFORMETRICS, V5, P226
Leydesdorff L., 2012, Scientometrics, V92, P355
SEGLEN PO, 1992, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, V43, P628
Leydesdorff Loet, 2010, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V61, P2365
Limoges C., 1994, The new production of knowledge: The dynamics of science and research in contemporary societies,
Moed Henk F., 2010, JOURNAL OF INFORMETRICS, V4, P265
McVeigh Marie E., 2009, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V302, P1107
Spaan Jos A. E., 2010, JOURNAL OF INFORMETRICS, V4, P439
Seglen PO, 1997, BRITISH MEDICAL JOURNAL, V314, P498
Brumback Roger A., 2008, JOURNAL OF CHILD NEUROLOGY, V23, P365
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Opthof Tobias, 2010, JOURNAL OF INFORMETRICS, V4, P423
Wagner Caroline S., 2012, RESEARCH EVALUATION, V21, P183
Guerrero-Bote Vicente P., 2012, JOURNAL OF INFORMETRICS, V6, P674
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Leydesdorff Loet, 2010, TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, V22, P789
Moed Henk F., 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P211
Leydesdorff Loet, 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P2133
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*Record 22 of 30.
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Title:
The comparison of normalization procedures based on different classification systems
Authors:
Li, YR; Ruiz-Castillo, J
Author Full Names:
Li, Yunrong; Ruiz-Castillo, Javier
Source:
JOURNAL OF INFORMETRICS, 7 (4):945-958; 10.1016/j.joi.2013.09.005 2013
Language:
English
Document Type:
Article
Author Keywords:
Citation practices, Normalization procedures, Classification systems, Citation inequality
KeyWords Plus:
RESEARCH PERFORMANCE; FIELD-NORMALIZATION; SCIENTOMETRIC INDICATORS; SCIENTIFIC JOURNALS; CITATION IMPACT; CROSS-FIELD; SCIENCE; PUBLICATIONS; SCORES; SCALES
Abstract:
In this paper, we develop a novel methodology within the IDCP measuring
framework for comparing normalization procedures based on different
classification systems of articles into scientific disciplines. Firstly,
we discuss the properties of two rankings, based on a graphical and a
numerical approach, for the comparison of any pair of normalization
procedures using a single classification system for evaluation purposes.
Secondly, when the normalization procedures are based on two different
classification systems, we introduce two new rankings following the
graphical and the numerical approaches. Each ranking is based on a
double test that assesses the two normalization procedures in terms of
the two classification systems on which they depend. Thirdly, we also
compare the two normalization procedures using a third, independent
classification system for evaluation purposes. In the empirical part of
the paper we use: (i) a classification system consisting of 219
sub-fields identified with the Web of Science subject-categories; an
aggregate classification system consisting of 19 broad fields, as well
as a systematic and a random assignment of articles to sub-fields with
the aim of maximizing or minimizing differences across sub-fields; (ii)
four normalization procedures that use the field or sub-field mean
citations of the above four classification systems as normalization
factors; and (iii) a large dataset, indexed by Thomson Reuters, in which
4.4 million articles published in 1998-2003 with a five-year citation
window are assigned to sub-fields using a fractional approach. The
substantive results concerning the comparison of the four normalization
procedures indicate that the methodology can be useful in practice. (C)
2013 Elsevier Ltd. All rights reserved.
Addresses:
[Li, Yunrong; Ruiz-Castillo, Javier] Univ Carlos III, Dept Econ, Madrid, Spain.
E-mail Addresses:
jrc at eco.uc3m.es
Cited Reference Count:
34
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400019
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Title:
Information Retrieval and Informetrics: The Application of Informetric Methods in Digital Libraries
Authors:
Schaer, P
Author Full Names:
Schaer, Philipp
Source:
HISTORICAL SOCIAL RESEARCH-HISTORISCHE SOZIALFORSCHUNG, 38 (3):282-354; SI 2013
Language:
German
Document Type:
Article
Author Keywords:
Digital libraries, informetrics, Power Law, Bradford's Law, Lotka's Law, Zipf's Law, information retrieval
KeyWords Plus:
RELEVANCE; LAW; RANKING; COLLABORATION; DISTRIBUTIONS; SCIENCE; MODELS
Abstract:
The search for scientific literature in scientific information systems
is a discipline at the intersection between information retrieval and
digital libraries. Recent user studies show two typical weaknesses of
the classical IR model: ranking of retrieved and maybe relevant
documents and the language problem during the query formulation phase.
At the same time traditional retrieval systems that rely primarily on
textual document and query features are stagnating for years, as it
could be observed in IR evaluation campaigns such as TREC or CLEF.
Therefore alternative approaches to surpass these two problem fields are
needed. Recent developments in the area of applied informetrics show
very promising effects by using long-known informetric and bibliometric
methods like the analysis of power-law distributions described by
Lotka's, Zipf's or Bradford's laws. This contribution will concentrate
on the description of the different approaches in digital libraries,
information retrieval, and informetrics to give a broad overview on
current methods in applied informetrics. This article contains:
1. Introduction
2. Digital Libraries
3. User Estimation of Relevance and Computer-Generated Ranking
4. Evaluation of Information Retrieval Systems
5. Informetrics
6. Discussion
Addresses:
GESIS Leibniz Inst Sozialwissensch, D-50667 Cologne, Germany.
E-mail Addresses:
philipp.schaer at gesis.org
Cited Reference Count:
98
Times Cited:
1
Publisher:
GESIS-LEIBNIZ INST SOIAL SCIENCES, UNTER SACHSENHAUSEN 6-8, KOLN, D-50667, GERMANY
ISSN:
0172-6404
Web of Science Categories:
History; History Of Social Sciences; Industrial Relations & Labor; Social Sciences, Interdisciplinary
Research Areas:
History; Social Sciences - Other Topics; Business & Economics
IDS Number:
252ZK
Unique ID:
WOS:000327051200016
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Title:
Network analysis of Spanish universities according to their journal publication profile in scientific areas
Authors:
Robinson-Garcia, N; Rodriguez-Sanchez, R; Garcia, JA; Torres-Salinas, D;
Fdez-Valdivia, J
Author Full Names:
Robinson-Garcia, Nicolas; Rodriguez-Sanchez, Rosa; Garcia, J. A.;
Torres-Salinas, Daniel; Fdez-Valdivia, J.
Source:
REVISTA ESPANOLA DE DOCUMENTACION CIENTIFICA, 36 (4):10.3989/redc.2013.4.1042 2013
Language:
Spanish
Document Type:
Article
Author Keywords:
Universities, Spain, maps of science, social networks analysis, publication profile, bibliometric indicators, research activity
KeyWords Plus:
SHANGHAI-RANKING; ISI-RANKINGS; COLLABORATION; INSTITUTIONS; EXCELLENCE; SPAIN
Abstract:
This study presents a descriptive analysis of Spanish universities
according to their journal publication profile in five scientific
domains during 2007-2011. Two universities have a similar journal
publication profile, if they publish in a high number of common
journals. This idea led to the possibility of mapping universities and
thus offering an enriched view of the Spanish higher education system.
In order to do so, we analysed the areas of Social Sciences, Exact
Sciences, Engineering & Technology, Life Sciences, and Health Sciences.
We also used the centrality indicator of social network analysis to
identify those universities with a greater role in each area; that is,
with a higher number of direct connections with the rest of the
universities. Finally, the application of this methodology within the
context of scientific policy is discussed, for searching for potential
scientific partners.
Addresses:
[Robinson-Garcia, Nicolas] Univ Granada, E-18071 Granada, Spain.
[Rodriguez-Sanchez, Rosa; Garcia, J. A.; Fdez-Valdivia, J.] Univ Granada, Dept Ciencias Computac & IA, E-18071 Granada, Spain.
[Torres-Salinas, Daniel] Univ Navarra, Ctr Invest Med Aplicada, E-31080 Pamplona, Spain.
E-mail Addresses:
elrobin at ugr.es; rosa at decsai.ugr.es; jags at decsai.ugr.es; torressalinas at gmail.com; jfv at decsai.ugr.es
Cited Reference Count:
30
Times Cited:
0
Publisher:
CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS, VITRUVIO 8, 28006 MADRID, SPAIN
ISSN:
0210-0614
Article Number:
e027
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264OB
Unique ID:
WOS:000327886700008
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Hazelkorn E., 2009, Higher Education Management and Policy, V21, P55
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*Record 26 of 30.
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Title:
Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P100)
Authors:
Bornmann, L; Leydesdorff, L; Wang, J
Author Full Names:
Bornmann, Lutz; Leydesdorff, Loet; Wang, Jian
Source:
JOURNAL OF INFORMETRICS, 7 (4):933-944; 10.1016/j.joi.2013.09.003 2013
Language:
English
Document Type:
Article
Author Keywords:
Citation impact normalization, Percentile, Percentile rank class, P100, Citation rank
KeyWords Plus:
RESEARCH PERFORMANCE; RELATIVE INDICATORS; PUBLICATION; JOURNALS; SCIENCE; CHARTS
Abstract:
For comparisons of citation impacts across fields and overtime,
bibliometricians normalize the observed citation counts with reference
to an expected citation value. Percentile-based approaches have been
proposed as a non-parametric alternative to parametric central-tendency
statistics. Percentiles are based on an ordered set of citation counts
in a reference set, whereby the fraction of papers at or below the
citation counts of a focal paper is used as an indicator for its
relative citation impact in the set. In this study, we pursue two
related objectives: (I) although different percentile-based approaches
have been developed, an approach is hitherto missing that satisfies a
number of criteria such as scaling of the percentile ranks from zero
(all other papers perform better) to 100 (all other papers perform
worse), and solving the problem with tied citation ranks unambiguously.
We introduce a new citation-rank approach having these properties,
namely P100; (2) we compare the reliability of P100 empirically with
other percentile-based approaches, such as the approaches developed by
the SCImago group, the Centre for Science and Technology Studies (CWTS),
and Thomson Reuters (InCites), using all papers published in 1980 in
Thomson Reuters Web of Science (WoS). How accurately can the different
approaches predict the long-term citation impact in 2010 (in year 31)
using citation impact measured in previous time windows (years 1-30)?
The comparison of the approaches shows that the method used by InCites
overestimates citation impact (because of using the highest percentile
rank when papers are assigned to more than a single subject category)
whereas the SCImago indicator shows higher power in predicting the
long-term citation impact on the basis of citation rates in early years.
Since the results show a disadvantage in this predictive ability for
P100 against the other approaches, there is still room for further
improvements. (C) 2013 Elsevier Ltd. All rights reserved.
Addresses:
[Bornmann, Lutz] Adm Headquarters Max Planck Soc, Div Sci & Innovat Studies, D-80539 Munich, Germany.
[Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1012 CX Amsterdam, Netherlands.
[Wang, Jian] Inst Res Informat & Qual Assurance iFQ, D-10117 Berlin, Germany.
[Wang, Jian] Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Dept Managerial Econ Strategy & Innovat, B-3000 Louvain, Belgium.
E-mail Addresses:
bornmann at gv.mpg.de; loet at leydesdorff.net; Jian.Wang at kuleuven.be
Cited Reference Count:
40
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400018
Cited References:
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Title:
Identifying excellent researchers: A new approach
Authors:
Tol, RSJ
Author Full Names:
Tol, Richard S. J.
Source:
JOURNAL OF INFORMETRICS, 7 (4):803-810; 10.1016/j.joi.2013.06.003 2013
Language:
English
Document Type:
Article
Author Keywords:
Quantile kernel regression, Hirsch index, Economics
KeyWords Plus:
CROWN INDICATOR; RESEARCH OUTPUT; INDEX; ECONOMISTS; IMPACT
Abstract:
Quantile kernel regression is a flexible way to estimate the percentile
of a scholar's quality stratified by a measurable characteristic,
without imposing inappropriate assumption about functional form or
population distribution. Quantile kernel regression is here applied to
identifying the one-in-a-hundred economist per age cohort according to
the Hirsch index. (C) 2013 Elsevier Ltd. All rights reserved.
Addresses:
[Tol, Richard S. J.] Univ Sussex, Dept Econ, Falmer BN1 9SL, England.
[Tol, Richard S. J.] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands.
[Tol, Richard S. J.] Vrije Univ Amsterdam, Dept Spatial Econ, Amsterdam, Netherlands.
[Tol, Richard S. J.] Tinbergen Inst, Amsterdam, Netherlands.
E-mail Addresses:
r.tol at sussex.ac.uk
Cited Reference Count:
27
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400005
Cited References:
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*Record 28 of 30.
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Title:
WoS scientific education and the H-index of Hirsch in the area of Physical Education in Spain and Brazil: productivity and comparison between countries
Authors:
Masia, JR; Gonzalez, VH; Deltell, CJ; Fonseca, TD; Legaz-Arrese, A
Author Full Names:
Reverter Masia, Joaquim; Hernandez Gonzalez, Vicenc; Jove Deltell,
Carme; Fonseca, Teresa de Jesus; Legaz-Arrese, Alejandro
Source:
MOVIMENTO, 19 (3):125-147; 2013
Language:
Portuguese
Document Type:
Article
KeyWords Plus:
PSYCHOLOGY JOURNALS; SPORT SCIENCE; PROFESSORS; WEB; INDICATORS
Addresses:
[Reverter Masia, Joaquim; Hernandez Gonzalez, Vicenc; Jove Deltell, Carme] Univ Lleida, Dept Didact Especif, Fac Ciencias Educ, E-25001 Lleida, Spain.
[Fonseca, Teresa de Jesus] Escola Super Educ Comunicacao & Desporto, Inst Politecn Guarda, Guarda, Portugal.
[Legaz-Arrese, Alejandro] Univ Zaragoza, Fac Educ, Zaragoza, Spain.
E-mail Addresses:
reverter at didesp.udl.cat; vicens_h_g at didesp.udl.cat; carme.jove at didesp.udl.cat; tfonseca at ipg.pt; alegaz at unizar.es
Cited Reference Count:
38
Times Cited:
0
Publisher:
UNIV FED RIO GRANDE DO SUL, ESCOLA EDUC FISICA, RUA FELIZARDO, 750 JARDIM BOTANICO, PORTO ALEGRE, CEP90690-200, BRAZIL
ISSN:
0104-754X
Web of Science Categories:
Education & Educational Research; Social Sciences, Interdisciplinary
Research Areas:
Education & Educational Research; Social Sciences - Other Topics
IDS Number:
267TW
Unique ID:
WOS:000328122100007
Cited References:
Osca-Lluch Julia, 2009, PSICOTHEMA, V21, P300
Buela-Casal Gualberto, 2007, SCIENTOMETRICS, V71, P349
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*Record 29 of 30.
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Title:
The h-index: A case of the tail wagging the dog?
Authors:
Burrell, QL
Author Full Names:
Burrell, Quentin L.
Source:
JOURNAL OF INFORMETRICS, 7 (4):774-783; 10.1016/j.joi.2013.06.004 2013
Language:
English
Document Type:
Article
Author Keywords:
Citation distribution, Publication-citation process, Geometric distribution, Non-linear equations, Quasi h-index, h-Index profile
KeyWords Plus:
HIRSCH-INDEX
Abstract:
>From the way that it was initially defined (Hirsch, 2005), the h-index
naturally encourages focus on the most highly cited publications of an.
author and this in turn has led to (predominantly) a rank-based approach
to its investigation. However, Hirsch (2005) and Burrell (2007a) both
adopted a frequency-based approach leading to general conjectures
regarding the relationship between the h-index and the author's
publication and citation rates as well as his/her career length. Here we
apply the distributional results of Burrell (2007a, 2013b) to three
published data sets to show that a good estimate of the h-index can
often be obtained knowing only the number of publications and the number
of citations. (Exceptions can occur when an author has one or more
"outliers" in the upper tail of the citation distribution.) In other
words, maybe the main body of the distribution determines the h-index,
not the wild wagging of the tail. Furthermore, the simple geometric
distribution turns out to be the key. (C) 2013 Elsevier Ltd. All rights
reserved.
Addresses:
[Burrell, Quentin L.] Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Louvain, Belgium.
E-mail Addresses:
quentinburrell at manx.net
Cited Reference Count:
13
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400002
Cited References:
Sangwal Keshra, 2013, JOURNAL OF INFORMETRICS, V7, P36
Hirsch JE, 2005, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, V102, P16569
Egghe Leo, 2006, SCIENTOMETRICS, V69, P121
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Jin B., 2006, Science Focus, V1, P8
Rousseau Ronald, 2013, JOURNAL OF INFORMETRICS, V7, P294
Burrell Q. L., 2013, Scientometrics,
Egghe Leo, 2010, ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, V44, P65
Ye Fred Y., 2009, SCIENTOMETRICS, V81, P493
Ye Fred Y., 2011, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V62, P205
Burrell Quentin L., 2007, JOURNAL OF INFORMETRICS, V1, P170
Egghe Leo, 2012, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, V63, P1048
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*Record 30 of 30.
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Title:
Research literature clustering using diffusion maps
Authors:
Nieminen, P; Polonen, I; Sipola, T
Author Full Names:
Nieminen, Paavo; Polonen, Ilkka; Sipola, Tuomo
Source:
JOURNAL OF INFORMETRICS, 7 (4):874-886; 10.1016/j.joi.2013.08.004 2013
Language:
English
Document Type:
Article
Author Keywords:
Knowledge discovery process, Literature mapping, Data mining, Clustering, Diffusion map
KeyWords Plus:
SCIENTIFIC LITERATURE; SCIENCE; KNOWLEDGE; JOURNALS; CATEGORIES; DISCOVERY; WORKLOAD; TRENDS; IMPACT
Abstract:
We apply the knowledge discovery process to the mapping of current
topics in a particular field of science. We are interested in how
articles form clusters and what are the contents of the found clusters.
A framework involving web scraping, keyword extraction, dimensionality
reduction and clustering using the diffusion map algorithm is presented.
We use publicly available information about articles in high-impact
journals. The method should be of use to practitioners or scientists who
want to overview recent research in a field of science. As a case study,
we map the topics in data mining literature in the year 2011. (C) 2013
Elsevier Ltd. All rights reserved.
Addresses:
[Nieminen, Paavo; Polonen, Ilkka; Sipola, Tuomo] Univ Jyvaskyla, Dept Math Informat Technol, FI-40014 Agora, Finland.
E-mail Addresses:
paavo.j.nieminen at jyu.fi; ilkka.polonen at jyu.fi; tuomo.sipola at jyu.fi
Cited Reference Count:
39
Times Cited:
0
Publisher:
ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN:
1751-1577
Web of Science Categories:
Information Science & Library Science
Research Areas:
Information Science & Library Science
IDS Number:
264ZV
Unique ID:
WOS:000327920400012
Cited References:
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Title:
Sport management: a bibliometric study on central themes and trends
Authors:
Ciomaga, B
Author Full Names:
Ciomaga, Bogdan
Source:
EUROPEAN SPORT MANAGEMENT QUARTERLY, 13 (5):557-578; 10.1080/16184742.2013.838283 DEC 1 2013
Language:
English
Document Type:
Article
Author Keywords:
sport management, bibliometric, legitimacy
KeyWords Plus:
CO-CITATION ANALYSIS; COCITATION ANALYSIS; ENTREPRENEURSHIP-RESEARCH; INTELLECTUAL STRUCTURE; INFORMATION-SCIENCE; SERVICE QUALITY; RESEARCH FRONT; ORGANIZATIONS; FIELD; PERSPECTIVE
Abstract:
Prompted by the scarcity of analyses of the directions in which sport
management research has so far evolved, this study attempts to fill this
gap by mapping the most important historical trends that have
characterised this discipline. In order to achieve this purpose, a
bibliometric analysis is employed, applying citation and co-citation
analyses to citations from articles published in three sport management
journals between 1987 and 2010. The co-citation relationships between
references are analysed by applying a dense network subgrouping
algorithm, which generates a number of clusters of influential works.
The results point out a number of dominant trends influential over the
entire period covered, focused on change in organisations, consumer
motivation in sport marketing and diversity in organisations. Less
influential trends reflect an interest in the impact of sport events,
sport economics and in the status of sport management as an area of
research.
Addresses:
Brock Univ, Dept Sport Management, St Catharines, ON L2S 3A1, Canada.
E-mail Addresses:
bc10fs at brocku.ca
Cited Reference Count:
135
Times Cited:
0
Publisher:
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND
ISSN:
1618-4742
Web of Science Categories:
Hospitality, Leisure, Sport & Tourism
Research Areas:
Social Sciences - Other Topics
IDS Number:
269LU
Unique ID:
WOS:000328243600004
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Title:
Democratising research evaluation: Achieving greater public engagement with bibliometrics-informed peer review
Authors:
Derrick, GE; Pavone, V
Author Full Names:
Derrick, Gemma E.; Pavone, Vincenzo
Source:
SCIENCE AND PUBLIC POLICY, 40 (5):563-575; 10.1093/scipol/sct007 OCT 2013
Language:
English
Document Type:
Article
Author Keywords:
democratisation of science, research evaluation, science and innovation policy, public engagement
KeyWords Plus:
SOCIAL-SCIENCES; RESEARCH QUALITY; METRICS; DELIBERATION; NETHERLANDS; RELIABILITY; ASSESSMENTS; HUMANITIES; EFFICIENCY; JOURNALS
Abstract:
The ability of metrics to represent complex information about research
in an accessible format has previously been overlooked in preference to
debate about their shortcomings as research evaluation tools. Here, we
argue that bibliometrics have the potential to widen scientific
participation by allowing non-academic stakeholders to access scientific
decision making, thereby increasing the democratisation of science.
Government policies from 3 countries (UK, Australia and Spain) are
reviewed. Each country outlines a commitment to the democratisation of
science for one set of policies whilst ignoring this commitment when
developing parallel research evaluation policies. We propose a change in
dialogue from whether bibliometrics should be used to how they should be
used in future evaluations. Future research policies should take
advantage of bibliometrics to foster greater democratisation of research
to create more socially-reflexive evaluation systems.
Addresses:
[Derrick, Gemma E.; Pavone, Vincenzo] CSIC, Inst Policies & Publ Good, Madrid 28037, Spain.
E-mail Addresses:
gemma.derrick at csic.es
Cited Reference Count:
80
Times Cited:
0
Publisher:
OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
ISSN:
0302-3427
Web of Science Categories:
Management; Planning & Development; Public Administration
Research Areas:
Business & Economics; Public Administration
IDS Number:
270ZA
Unique ID:
WOS:000328357300001
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Title:
KNOWLEDGE PRODUCTION IN KINESIOLOGY AS VIEWED THROUGH THE TITLES OF PAPERS PUBLISHED IN AN ACADEMIC JOURNAL - A LINGUISTIC APPROACH
Authors:
Omrcen, D
Author Full Names:
Omrcen, Darija
Source:
KINESIOLOGY, 45 (1):107-120; JUN 2013
Language:
English
Document Type:
Article
Author Keywords:
scientific knowledge, epistemology, human movement, language
KeyWords Plus:
LANGUAGE; SCIENCE
Abstract:
The aim of this research was to try to present, on the basis of titles
of papers published in an academic journal, knowledge production in
kinesiology. The sample consisted of 781 titles of papers published in
the journal Kinesiologija/Kinesiology from 1971 to 2011. The list of
lexical items used for this investigation to analyse, both
diachronically and contextually, knowledge production connected with the
science of human movement consisted of the following: structure,
structural; movement, motion, motor, motor ability; activity, exercise,
sport; change, transformation; influence, impact; and effect,
effectiveness. The analysis has shown the listed lexical items to appear
in a multitude of combinations and contexts, i.e. linear combinations of
words, thus indicating their meaning and reflecting the body of
research, which consequently shapes knowledge in the scientific
discipline in question.
Addresses:
Univ Zagreb, Fac Kinesiol, Zagreb 41000, Croatia.
E-mail Addresses:
darija.omrcen at kif.hr
Cited Reference Count:
51
Times Cited:
0
Publisher:
UNIV ZAGREB, FAC KINESIOLOGY, HORVACANSKI ZAVOJ 15, ZAGREB, 10000, CROATIA
ISSN:
1331-1441
Web of Science Categories:
Rehabilitation; Sport Sciences
Research Areas:
Rehabilitation; Sport Sciences
IDS Number:
270QK
Unique ID:
WOS:000328333300013
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Title:
100 top-cited scientific papers in limb prosthetics
Authors:
Eshraghi, A; Abu Osman, NA; Gholizadeh, H; Ali, S; Shadgan, B
Author Full Names:
Eshraghi, Arezoo; Abu Osman, Noor Azuan; Gholizadeh, Hossein; Ali,
Sadeeq; Shadgan, Babak
Source:
BIOMEDICAL ENGINEERING ONLINE, 12 10.1186/1475-925X-12-119 NOV 17 2013
Language:
English
Document Type:
Review
Author Keywords:
Citation-classics, Orthotics, Prosthetics, Journals, Association, Archives, Science, Bias
KeyWords Plus:
CITATION-CLASSICS; PHYSICAL-THERAPY; ARTICLES; JOURNALS; REHABILITATION; MEDICINE; BIAS
Abstract:
Research has tremendously contributed to the developments in both
practical and fundamental aspects of limb prosthetics. These
advancements are reflected in scientific articles, particularly in the
most cited papers. This article aimed to identify the 100 top-cited
articles in the field of limb prosthetics and to investigate their main
characteristics. Articles related to the field of limb prosthetics and
published in the Web of Knowledge database of the Institute for
Scientific Information (ISI) from the period of 1980 to 2012. The 100
most cited articles in limb prosthetics were selected based on the
citation index report. All types of articles except for proceedings and
letters were included in the study. The study design and level of
evidence were determined using Sackett's initial rules of evidence. The
level of evidence was categorized either as a systematic review or
meta-analysis, randomized controlled trial, cohort study, case-control
study, case series, expert opinion, or design and development. The top
cited articles in prosthetics were published from 1980 to 2012 with a
citation range of 11 to 90 times since publication. The mean citation
rate was 24.43 (SD 16.7) times. Eighty-four percent of the articles were
original publications and were most commonly prospective (76%) and case
series studies (67%) that used human subjects (96%) providing level 4
evidence. Among the various fields, rehabilitation (47%), orthopedics
(29%), and sport sciences (28%) were the most common fields of study.
The study established that studies conducted in North America and were
written in English had the highest citations. Top cited articles
primarily dealt with lower limb prosthetics, specifically, on
transtibial and transradial prosthetic limbs. Majority of the articles
were experimental studies.
Addresses:
[Eshraghi, Arezoo; Abu Osman, Noor Azuan; Gholizadeh, Hossein; Ali, Sadeeq] Univ Malaya, Fac Engn, Dept Biomed Engn, Kuala Lumpur 50603, Malaysia.
[Shadgan, Babak] Univ British Columbia, Ctr Int Collaborat Repair Discoveries, Vancouver, BC V5Z 1M9, Canada.
E-mail Addresses:
arezooeshraghi at yahoo.ca
Funding Acknowledgement:
Malaysia UM/MOHE/HIR grant [D000014-16001]; [FP017-2011A]
Funding Text:
This study was performed with the support of Malaysia UM/MOHE/HIR grant (Project no: D000014-16001) and FP017-2011A. The authors wish to thank Mr. Mohammadreza Amiri for his invaluable assistance on the statistics.
Cited Reference Count:
26
Times Cited:
0
Publisher:
BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND
ISSN:
1475-925X
Article Number:
119
Web of Science Categories:
Engineering, Biomedical
Research Areas:
Engineering
IDS Number:
270XL
Unique ID:
WOS:000328352700001
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