Papers from the journals Scieintometrics ( November 2011) and Journal of Informetrics ( October 2011)
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Wed Nov 16 18:49:21 EST 2011
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TITLE: Agent-based computing from multi-agent systems to agent-
based models: a visual survey (Article, English)
AUTHOR: Niazi, M; Hussain, A
SOURCE: SCIENTOMETRICS 89 (2). NOV 2011. p.479-499 SPRINGER,
DORDRECHT
SEARCH TERM(S): GRIFFITH BC SCI STUD 4:339 1974;
SMALL H SCIENTOMETRICS 26:5 1993;
SMALL H SCI STUD 4:17 1974;
SMALL H J AM SOC INFORM SCI 24:265 1973;
WHITE HD J AM SOC INFORM SCI 32:163 1981
KEYWORDS: Scientometrics; Visualization; Agent-based modeling;
Multiagent systems; Individual-based modeling; CiteSpace
KEYWORDS+: SCIENTIFIC LITERATURES; INTELLECTUAL STRUCTURE; AUTHOR
COCITATION; TRIPLE-HELIX; SCIENCE; SCIENTOMETRICS;
INNOVATION; KNOWLEDGE; DYNAMICS; CITATION
ABSTRACT: Agent-based computing is a diverse research domain
concerned with the building of intelligent software based on the concept
of "agents". In this paper, we use Scientometric analysis to analyze all
sub-domains of agent-based computing. Our data consists of 1,064 journal
articles indexed in the ISI web of knowledge published during a 20 year
period: 1990-2010. These were retrieved using a topic search with various
keywords commonly used in sub-domains of agent-based computing. In our
proposed approach, we have employed a combination of two applications for
analysis, namely Network Workbench and CiteSpace-wherein Network
Workbench allowed for the analysis of complex network aspects of the
domain, detailed visualization-based analysis of the bibliographic data
was performed using CiteSpace. Our results include the identification of
the largest cluster based on keywords, the timeline of publication of
index terms, the core journals and key subject categories. We also
identify the core authors, top countries of origin of the manuscripts
along with core research institutes. Finally, our results have
interestingly revealed the strong presence of agent-based computing in a
number of non-computing related scientific domains including Life
Sciences, Ecological Sciences and Social Sciences.
AUTHOR ADDRESS: M Niazi, COMSATS Inst IT, Dept Biosci, Islamabad, Pakistan
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TITLE: Mapping of nanoscience and nanotechnology research in
India: a scientometric analysis, 1990-2009 (Article, English)
AUTHOR: Karpagam, R; Gopalakrishnan, S; Natarajan, M; Babu, BR
SOURCE: SCIENTOMETRICS 89 (2). NOV 2011. p.501-522 SPRINGER,
DORDRECHT
SEARCH TERM(S): SCIENTOMETRIC* item_title
KEYWORDS: Nanotechnology; Nanoscience; Collaborative coefficient h-
index; g-index; p-index
KEYWORDS+: RESEARCH COLLABORATION; SCIENTIFIC LITERATURE; PATENT
CITATIONS; G-INDEX; TECHNOLOGY; SCIENCE; FIELD;
INTERDISCIPLINARITY; PUBLICATIONS; EXPLORATION
ABSTRACT: This paper analyses the growth pattern of Nanoscience and
Nanotechnology literature in India during 1990-2009 (20 years). The
Scopus international multidisciplinary bibliographical database has been
used to identify the Indian contributions on the field of nanoscience and
nanotechnology. The study measures the performance based on several
parameters, country annual growth rate, authorship pattern, collaborative
index, collaborative coefficient, modified collaborative coefficient,
subject profile, etc. Further the study examines national publication
output and impact in terms of average citations per paper, international
collaboration output and share, contribution and impact of Indian
Institutions and impact of Indian journals.
AUTHOR ADDRESS: R Karpagam, Anna Univ, Univ Lib, Madras 25, Tamil Nadu,
India
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TITLE: Using Bayesian networks to discover relationships between
bibliometric indices. A case study of computer science and artificial
intelligence journals (Article, English)
AUTHOR: Ibanez, A; Larranaga, P; Bielza, C
SOURCE: SCIENTOMETRICS 89 (2). NOV 2011. p.523-551 SPRINGER,
DORDRECHT
SEARCH TERM(S): GARFIELD E rauth;
HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
JOURNALS item_title; BIBLIOMETR* item_title;
GARFIELD E SCIENCE 178:471 1972
KEYWORDS: Bibliometric indices; Bayesian networks; Conditional
dependencies and conditional independencies; Computer
science and artificial intelligence
KEYWORDS+: H-INDEX; PROBABILISTIC NETWORKS; CITATION ANALYSIS; R-
INDEX; IMPACT
ABSTRACT: As they are used to evaluate the importance of research
at different levels by funding agencies and promotion committees,
bibliometric indices have received a lot of attention from the scientific
community over the last few years. Many bibliometric indices have been
developed in order to take into account aspects not previously covered.
The result is that, nowadays, the scientific community faces the
challenge of selecting which of this pool of indices meets the required
quality standards. In view of the vast number of bibliometric indices, it
is necessary to analyze how they relate to each other (irrelevant,
dependent and so on). Our main purpose is to learn a Bayesian network
model from data to analyze the relationships among bibliometric indices.
The induced Bayesian network is then used to discover probabilistic
conditional (in) dependencies among the indices and, also for
probabilistic reasoning. We also run a case study of 14 well-known
bibliometric indices on computer science and artificial intelligence
journals.
AUTHOR ADDRESS: A Ibanez, Univ Politecn Madrid, Computat Intelligence Grp,
Dept Inteligencia Artificial, E-28660 Madrid, Spain
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TITLE: Multi-modal social networks for modeling scientific
fields (Article, English)
AUTHOR: Groh, G; Fuchs, C
SOURCE: SCIENTOMETRICS 89 (2). NOV 2011. p.569-590 SPRINGER,
DORDRECHT
SEARCH TERM(S): SMALL H INFORMATION PROCESSI 17:39 1981;
SMALL H J AM SOC INFORM SCI 24:265 1973;
SMALL H SCIENTOMETRICS 8:321 1985;
SMALL H SCIENTOMETRICS 7:391 1985;
WHITE HD J AM SOC INFORM SCI 32:163 1981
KEYWORDS: Social networks; Mobile Social Networking; Modeling of a
scientific domain; Co-authorship networks; Person-
organization networks; Author co-citation networks;
Journal-person networks; Conference-person networks
KEYWORDS+: AUTHOR COCITATION ANALYSIS; INFORMATION-SCIENCE;
INTELLECTUAL STRUCTURE; SUBGRAPH ISOMORPHISM; MAPPING
AUTHORS; DOMAIN-ANALYSIS; SALTONS COSINE; PEARSONS R;
ALGORITHM; INDEX
ABSTRACT: This paper analyzes whether methods from social network
analysis can be adopted for the modeling of scientific fields in order to
obtain a better understanding of the respective scientific area. The
approach proposed is based on articles published within the respective
scientific field and certain types of nodes deduced from these papers,
such as authors, journals, conferences and organizations. As a proof of
concept, the techniques discussed here are applied to the field of
'Mobile Social Networking'. For this purpose, a tool was developed to
create a large data collection representing the aforementioned field. The
paper analyzes various views on the complete network and discusses these
on the basis of the data collected on Mobile Social Networking. The
authors demonstrate that the analysis of particular subgraphs derived
from the data collection allows the identification of important authors
as well as separate sub-disciplines such as classic network analysis and
sensor networks and also contributes to the classification of the field
of 'Mobile Social Networking' within the greater context of computer
science, applied mathematics and social sciences. Based on these results,
the authors propose a set of concrete services which could be offered by
such a network and which could help the user to deal with the scientific
information process. The paper concludes with an outlook upon further
possible research topics.
AUTHOR ADDRESS: G Groh, Tech Univ Munich, Dept Informat, Boltzmannstr 3,
D-85478 Garching, Germany
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TITLE: A bibliometric analysis and comparison on three
information science journals: JASIST, IPM, JOD, 1998-2008 (Article,
English)
AUTHOR: Tsay, MY
SOURCE: SCIENTOMETRICS 89 (2). NOV 2011. p.591-606 SPRINGER,
DORDRECHT
SEARCH TERM(S): LIPETZ BA rauth; JOURNALS item_title;
BIBLIOMETR* item_title
KEYWORDS: Bibliometric study; Cited books; Cited journals; Subject
analysis; Journal of the American Society for Information
Science and Technology (JASIST); Information Processing
and Management (IPM); Journal of Documentation (JOD)
KEYWORDS+: REFERENCES; LIBRARY
ABSTRACT: Employing a citation analysis, this study explored and
compared the bibliometric characteristics and the subject relationship
with other disciplines of and among the three leading information science
journals, Journal of the American Society for Information Science and
Technology (JASIST), Information Processing and Management and Journal of
Documentation. The citation data were drawn from references of each
article of the three journals during 1998 and 2008. The Ulrich's
Periodical Directory, Library of Congress Subject Heading, retrieved from
the WorldCat, and LISA database were used to identify the main class,
subclass and subject of cited journals and books. Quantitative results on
the number of JASIST, IPM and JOD literature references, average number
of references cited per paper, document type of cited literature and the
journal self-citation rate are reported. Moreover, the highly cited
journals and books, the main classes and subclasses of cited journals and
books in papers of the three journals, the highly cited subjects in
journals and books of library and information science were identified and
analyzed. Comparison on the characteristics of cited journals and books
confirmed that all the three journals under study are information science
oriented, except JOD which is library science orientation. JASIST and IPM
are very much in common and diffuse to other disciplines more deeply than
JOD.
AUTHOR ADDRESS: MY Tsay, Natl Chengchi Univ, Grad Inst Lib Informat &
Archival Studies, Taipei 116, Taiwan
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TITLE: The journal relative impact: an indicator for journal
assessment (Article, English)
AUTHOR: Vieira, ES; Gomes, JANF
SOURCE: SCIENTOMETRICS 89 (2). NOV 2011. p.631-651 SPRINGER,
DORDRECHT
SEARCH TERM(S): GARFIELD E rauth;
SMALL H SCIENTOMETRICS 7:391 1985;
JOURNAL item_title;
GARFIELD E AM DOC 14:195 1963
KEYWORDS: Normalization; Journal impact; Assessment; Variable window
KEYWORDS+: WEB-OF-SCIENCE; SCIENTIFIC LITERATURE; RESEARCH
PERFORMANCE; SCOPUS; SYSTEM; INDEX
ABSTRACT: This paper presents the journal relative impact (JRI), an
indicator for scientific evaluation of journals. The JRI considers in its
calculation the different culture of citations presented by the Web of
Science subject categories. The JRI is calculated considering a variable
citation window. This citation window is defined taking into account the
time required by each subject category for the maturation of citations.
The type of document considered in each subject category depends on its
outputs in relation to the citations. The scientific performance of each
journal in relation to each subject category that it belongs to is
considered allowing the comparison of the scientific performance of
journals from different fields. The results obtained show that the JRI
can be used for the assessment of the scientific performance of a given
journal and that the SJR and SNIP should be used to complement the
information provided by the JRI. The JRI presents good features as
stability over time and predictability.
AUTHOR ADDRESS: JANF Gomes, Univ Porto, Fac Ciencias, REQUIMTE Dept Quim &
Bioquim, Rua Campo Alegre 687, P-4169007 Oporto, Portugal
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TITLE: The growth of international collaboration in East
European scholarly communities: a bibliometric analysis of journal
articles published between 1989 and 2009 (Article, English)
AUTHOR: Teodorescu, D; Andrei, T
SOURCE: SCIENTOMETRICS 89 (2). NOV 2011. p.711-722 SPRINGER,
DORDRECHT
SEARCH TERM(S): BIBLIOMETR* item_title; JOURNAL item_title
KEYWORDS: Eastern Europe; Co-authorship; Citations
ABSTRACT: In the last two decades international collaboration in
the Eastern European academic communities has strongly intensified.
Scientists from developed countries within the European Union play a key
role in stimulating the international collaboration of academics in this
region. In addition, many of the research projects that engage East-
European scholars are only possible in the framework of the large
European programmes. The present study focuses on the role of EU and
other developed nations as a partner of these countries and the analysis
of the performance of collaborative research as reflected by the citation
impact of internationally co-authored publications.
AUTHOR ADDRESS: D Teodorescu, Emory Univ, 201 Dowman Dr,Suite 313, Atlanta,
GA 30032 USA
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TITLE: Industry Funding of University Research and Scientific
Productivity (Article, English)
AUTHOR: Hottenrott, H; Thorwarth, S
SOURCE: KYKLOS 64 (4). NOV 2011. p.534-555 WILEY-BLACKWELL,
MALDEN
KEYWORDS+: RESEARCH-AND-DEVELOPMENT; COUNT DATA MODELS; ACADEMIC
RESEARCH; TECHNOLOGY-TRANSFER; NATIONAL-SURVEY; PUBLIC
RESEARCH; LIFE SCIENCES; IVORY TOWER; INNOVATION; IMPACT
ABSTRACT: Research conducted by university researchers for industry
constitutes one of the main channels through which knowledge and
technology are transferred from science to the private sector. Since the
value of such inputs for the innovation performance of firms has been
found to be considerable, it is not surprising that firms increasingly
seek direct access to university knowledge. In particular, industry
funding for university research has been increasing in most OECD
countries.
This development, however, spurred concerns regarding possible long-run
effects on scientific output. While some policy makers argue that the
potential of universities to foster and accelerate industrial innovations
is not yet fully exploited, others are concerned with the distraction of
academics from their actual research mission.
Our results show for a sample of professors in science and engineering in
Germany that a higher budget share from industry reduces publication
output of professors both in terms of quantity and quality in subsequent
years. This finding supports the "skewing problem" hypothesis for science
and engineering faculty in Germany. If information sharing among
scientists via publications is the basis for cumulative knowledge
production and thus for scientific progress, industry funding that
reduces publications may have detrimental effects on the development of
science. On the other hand, we find that industry funding has a positive
impact on the quality of applied research if measured by patent
citations. Industry funding may thus have beneficial effects by improving
impact and quality of more applied research. If industry funded research
results in successfully patentable and industrially relevant technologies
it may create economic as well as social value.
AUTHOR ADDRESS: H Hottenrott, Dept Managerial Econ Strategy & Innovat,
Naamsestr 69, B-3000 Louvain, Belgium
TITLE: Empirical study of the growth dynamics in real career h-
index sequences (Article, English)
AUTHOR: Wu, J; Lozano, S; Helbing, D
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.489-497
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005
KEYWORDS: h-Index sequence; Real career path; h-Index core
KEYWORDS+: HIRSCH INDEX; MODEL
ABSTRACT: Based on historical citation data from the ISI Web of
Science, this paper introduces a methodology to automatically calculate
and classify the real career h-index sequences of scientists. Such a
classification is based on the convexity-concavity features of the
different temporal segments of h-index sequences. Five categories are
identified, namely convex, concave, S-shaped, IS-shaped and linear. As a
case study, the h-index sequences of several Nobel Prize winners in
Medicine, Chemistry and Economics are investigated. Two proposed factors
influencing the growth of the h-index, namely the "freshness" of the h-
index core and changes in the rank positions of papers near the h-index
point are studied. It is found that the h-index core's "freshness" is
particularly relevant to the growth of the h-index. Moreover, although in
general more publications lead to an increase of the h-index, the key
role is played by those papers near the h-index point. (C) 2011 Elsevier
Ltd. All rights reserved.
AUTHOR ADDRESS: J Wu, Huazhong Univ Sci & Technol, Sch Management, Wuhan
430074, Peoples R China
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TITLE: Community detection: Topological vs. topical (Article,
English)
AUTHOR: Ding, Y
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.498-514
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): SMALL H J AM SOC INFORM SCI 24:265 1973;
WHITE HD J AM SOC INFORM SCI 32:163 1981
KEYWORDS: Community detection; Topics; Communities; Coauthor network
KEYWORDS+: COCITATION ANALYSIS; INFORMATION-RETRIEVAL; BIBLIOMETRIC
INFORMATION; AUTHOR COCITATION; NETWORKS; SCIENCE;
CITATION; TEXT
ABSTRACT: The evolution of the Web has promoted a growing interest
in social network analysis, such as community detection. Among many
different community detection approaches, there are two kinds that we
want to address: one considers the graph structure of the network
(topology-based community detection approach); the other one takes the
textual information of the network nodes into consideration (topic-based
community detection approach). This paper conducted systematic analysis
of applying a topology-based community detection approach and a topic-
based community detection approach to the coauthorship networks of the
information retrieval area and found that: (1) communities detected by
the topology-based community detection approach tend to contain different
topics within each community; and (2) communities detected by the topic-
based community detection approach tend to contain topologically-diverse
sub-communities within each community. The future community detection
approaches should not only emphasize the relationship between communities
and topics, but also consider the dynamic changes of communities and
topics. Published by Elsevier Ltd.
AUTHOR ADDRESS: Y Ding, Indiana Univ, Sch Lib & Informat Sci, 1320 E 10th,
Bloomington, IN 47405 USA
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TITLE: Positioning research and innovation performance using
shape centroids of h-core and h-tail (Article, English)
AUTHOR: Kuan, CH; Huang, MH; Chen, DZ
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.515-528
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005
KEYWORDS: Rank-citation curve; h-Core; h-Tail; Shape centroid;
Patentometrics; Bibliometrics
KEYWORDS+: INDEX; IMPACT; OUTPUT
ABSTRACT: We propose a novel yet practical method capturing an
individual's research or innovation performance by the shape centroids of
the h-core and h-tail areas of its publications or patents. A large
number of individuals' relative performance with respect to their h-cores
and h-tails can be simultaneously positioned and conveniently observed in
two-dimensional coordinate systems. Two approaches are further proposed
to the utilization of the two-dimensional distribution of shape
centroids. The first approach specifically determines, within a group of
individuals, those outperforming or being outperformed by a target
individual. The second approach provides a quick qualitative
categorization of the individuals so that the nature of their performance
is revealed. Using patent assignees as an illustrative case, the
approaches are tested with empirical patent assignee data. Crown
Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: DZ Chen, Natl Taiwan Univ, Dept Mech Engn, 1,Sec
4,Roosevelt Rd, Taipei 10617, Taiwan
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TITLE: Progressive nucleation mechanism and its application to
the growth of journals, articles and authors in scientific fields
(Article, English)
AUTHOR: Sangwal, K
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.529-536
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): PRICE DJD rauth; JOURNALS item_title
KEYWORDS: Growth behavior of items; Power-law relation; Progressive
nucleation mechanism; Saturation of item/field
ABSTRACT: The basic concepts of progressive nucleation mechanism
are described and the final equations of the mechanism are used to
analyze the growth of articles in three randomly selected databases from
20 different databases in humanities (philosopher's index, set 1), social
sciences (exceptional child education, set 5) and science and technology
(food science and technology, set 10), respectively, covering the period
1968-1987, previously analyzed by Egghe and Ravichandra Rao (1992,
Scientometrics 25 (1), 5-46), and the growth of journals, articles and
authors in malaria research for the period 1955-2005, reported recently
by Ravichandra Rao and Srivastava (2010, Journal of Informetrics 4 (1),
249-256) and compared with the predictions of the power-law equation.
Analysis of the former data revealed that: (1) the progressive nucleation
mechanism describes the data better than the power-law relation, (2) the
field of social sciences is saturated much earlier than science and
technology but publication activity in humanities is saturated much
later, and (3) that social sciences have the maximum growth, followed by
lower growth in humanities and the lowest growth in science and
technology. The data on journals J(t), papers N(t) and authors W(t)
against publication year Y in malaria research can be described equally
well by equations of the power-law and progressive nucleation mechanism,
and the growth of journals J(t) and articles N(t) is intimately connected
with the growth of authors W(t). (C) 2011 Elsevier Ltd. All rights
reserved.
AUTHOR ADDRESS: K Sangwal, Lublin Univ Technol, Dept Appl Phys, Ul
Nadbystrzycka 38, PL-20618 Lublin, Poland
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TITLE: On the growth of citations of publication output of
individual authors (Article, English)
AUTHOR: Sangwal, K
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.554-564
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): PRICE DJD rauth;
HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
CITATION* item_title
KEYWORDS: Citations; Citation rate; Power law; Exponential growth
law; Progressive nucleation mechanism
KEYWORDS+: INDEX
ABSTRACT: Dependence of citations L(t) at time t on the publication
duration t of 10 arbitrarily selected Polish professors is analyzed using
equations based on power law and exponential growth and on progressive
nucleation mechanism for overall crystallization in fixed volume. The
former two approaches are well known in the bibliometric literature, but
the last approach is new for the analysis of growth of citations and
other related phenomena. It was found that: (1) power-law relation and
exponential growth are relatively inadequate to analyze the data of all
authors due to large scatter in the L(t) data of various authors, (2) in
view of poor fit at low or high values of t, the exponential growth
relation is worse than the power-law relation, and (3) the progressive
nucleation mechanism describes the data reasonably well and gives
information on the processes of sources of citations and the growth of
theses citation sources. (C) 2011 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: K Sangwal, Lublin Univ Technol, Dept Appl Phys, Ul
Nadbystrzycka 38, PL-20618 Lublin, Poland
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TITLE: The diffusion of H-related literature (Article, English)
AUTHOR: Zhang, L; Thijs, B; Glanzel, W
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.583-593
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005
KEYWORDS: H-index; Knowledge diffusion; Clustering analysis; Core-
documents
KEYWORDS+: DEPENDENT LOTKAIAN INFORMETRICS; SELF-CITATION
CORRECTIONS; WEB-OF-SCIENCE; EGGHES G-INDEX; HIRSCH-INDEX;
GOOGLE SCHOLAR; BIBLIOMETRIC INDICATORS; RESEARCH
PRODUCTIVITY; RESEARCH PERFORMANCE; ACADEMIC JOURNALS
ABSTRACT: In the present study we attempt to trace the diffusion of
h-related literature over a five-year period beginning with the
introduction of the h-index. The study is based on a reliable and
representative publication set of 755 papers retrieved from the Web of
Science database using keywords and citation links. In the course of the
study we analyse several aspects of the emergence of this topic, the
differentiation of methodological research, its application within and
outside the field and the dissemination process of information among
different disciplines in the sciences and social sciences. Finally, a
cluster analysis of h-related literature is conducted. The hybrid
clustering algorithm results in four clusters, which depict two different
aspects each of basic and applied research related to the h-index and its
derivatives. Crown Copyright (C) 2011 Published by Elsevier Ltd. All
rights reserved.
AUTHOR ADDRESS: L Zhang, Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM,
Waaistr 6,Room 01-82, B-3000 Louvain, Belgium
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TITLE: Identifying the effects of co-authorship networks on the
performance of scholars: A correlation and regression analysis of
performance measures and social network analysis measures (Article,
English)
AUTHOR: Abbasi, A; Altmann, J; Hossain, L
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.594-607
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005
KEYWORDS: Collaboration; Citation-based research performance; g-
index; Co-authorship networks; Social network analysis
measures; Regression; Correlation
KEYWORDS+: INTERNATIONAL SCIENTIFIC COLLABORATION; SUCCESSIVE H-
INDEXES; WEAK TIES; SELF-ORGANIZATION; CENTRALITY;
PRODUCTIVITY; KNOWLEDGE; RESEARCHERS; ECONOMICS; PATTERNS
ABSTRACT: In this study, we develop a theoretical model based on
social network theories and analytical methods for exploring
collaboration (co-authorship) networks of scholars. We use measures from
social network analysis (SNA) (i.e., normalized degree centrality,
normalized closeness centrality, normalized betweenness centrality,
normalized eigenvector centrality, average ties strength, and efficiency)
for examining the effect of social networks on the (citation-based)
performance of scholars in a given discipline (i.e., information
systems). Results from our statistical analysis using a Poisson
regression model suggest that research performance of scholars (g-index)
is positively correlated with four SNA measures except for the normalized
betweenness centrality and the normalized closeness centrality measures.
Furthermore, it reveals that only normalized degree centrality,
efficiency, and average ties strength have a positive significant
influence on the g-index (as a performance measure). The normalized
eigenvector centrality has a negative significant influence on the g-
index. Based on these results, we can imply that scholars, who are
connected to many distinct scholars, have a better citation-based
performance (g-index) than scholars with fewer connections. Additionally,
scholars with large average ties strengths (i.e., repeated co-
authorships) show a better research performance than those with low tie
strengths (e.g., single co-authorships with many different scholars). The
results related to efficiency show that scholars, who maintain a strong
co-authorship relationship to only one co-author of a group of linked co-
authors, perform better than those researchers with many relationships to
the same group of linked co-authors. The negative effect of the
normalized eigenvector suggests that scholars should work with many
students instead of other well-performing scholars. Consequently, we can
state that the professional social network of researchers can be used to
predict the future performance of researchers. (C) 2011 Elsevier Ltd. All
rights reserved.
AUTHOR ADDRESS: J Altmann, Seoul Natl Univ, Technol Management Econ &
Policy Program, Seoul 151744, South Korea
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TITLE: Non-alphanumeric characters in titles of scientific
publications: An analysis of their occurrence and correlation with
citation impact (Article, English)
AUTHOR: Buter, RK; van Raan, AFJ
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.608-617
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): CITATION item_title; CITATION* item_title
KEYWORDS: Impact; Occurrence; Special characters; Scientific
publications; Titles; Bootstrap; Heatmaps
KEYWORDS+: CONFIDENCE-INTERVALS; BOOTSTRAP; ARTICLES; ASTERISK;
COLONS
ABSTRACT: We investigated the occurrence of non-alphanumeric
characters in a randomized subset of over almost 650,000 titles of
scientific publications from the Web of Science database. Additionally,
for almost 500,000 of these publications we correlated occurrence with
impact, using the field-normalised citation metric CPP/FCSm. We compared
occurrence and correlation with impact both at in general and for
specific disciplines and took into account the variation within sets by
(non-parametrically) bootstrapping the calculation of impact values. We
also compared use and impact of individual characters in the 30 fields in
which non-alphanumeric characters occur most frequently, by using
heatmaps that clustered and reordered fields and characters. We conclude
that the use of some non-alphanumeric characters, such as the hyphen and
colon, is common in most titles and that not including such characters
generally correlates negatively with impact. Specific disciplines on the
other hand, may show either a negative, absent, or positive correlation.
We also found that thematically related science fields use non-
alphanumeric characters in comparable numbers, but that impact associated
with such characters shows a less strong thematic relation. Overall, it
appears that authors cannot influence success of publications by
including non-alphanumeric characters in fields where this is not already
commonplace. (C) 2011 Published by Elsevier Ltd.
AUTHOR ADDRESS: RK Buter, Wassenaarseweg 62A,POB 905, NL-2300 AX Leiden,
Netherlands
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TITLE: Comparing the expert survey and citation impact journal
ranking methods: Example from the field of Artificial Intelligence
(Article, English)
AUTHOR: Serenko, A; Dohan, M
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.629-648
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
SEGLEN PO J AM SOC INFORM SCI 43:628 1992;
CITATION item_title; CITATION* item_title;
JOURNAL item_title
KEYWORDS: Artificial Intelligence; Journal ranking; Academic
journal; Google Scholar; Survey; Citation impact; H-index;
G-index; Hc-index
KEYWORDS+: SCIENTIFIC JOURNALS; MANAGEMENT JOURNALS; EVALUATING
RESEARCH; GLOBAL PERCEPTIONS; ACADEMIC JOURNALS; H-INDEX;
QUALITY; BUSINESS; PEER; SCIENCE
ABSTRACT: The purpose of this study is to: (1) develop a ranking of
peer-reviewed AI journals; (2) compare the consistency of journal
rankings developed with two dominant ranking techniques, expert surveys
and journal impact measures; and (3) investigate the consistency of
journal ranking scores assigned by different categories of expert judges.
The ranking was constructed based on the survey of 873 active AI
researchers who ranked the overall quality of 182 peer-reviewed AI
journals. It is concluded that expert surveys and citation impact journal
ranking methods cannot be used as substitutes. Instead, they should be
used as complementary approaches. The key problem of the expert survey
ranking technique is that in their ranking decisions, respondents are
strongly influenced by their current research interests. As a result,
their scores merely reflect their present research preferences rather
than an objective assessment of each journal's quality. In addition, the
application of the expert survey method favors journals that publish more
articles per year. (C) 2011 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: A Serenko, Lakehead Univ, Fac Business Adm, 955 Oliver Rd,
Thunder Bay, ON P7B 5E1, Canada
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TITLE: Assessing the varying level of impact measurement
accuracy as a function of the citation window length (Article, English)
AUTHOR: Abramo, G; Cicero, T; D'Angelo, CA
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.659-667
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): MACROBERTS MH rauth; CITATION item_title;
CITATION* item_title;
GARFIELD E SCIENCE 178:471 1972;
GARFIELD E rauth
KEYWORDS: Research evaluation; Scientific impact; Citation window;
Peer review; Bibliometrics; Italy
KEYWORDS+: BIBLIOMETRIC INDICATORS; SCIENCE; COUNTS; TOOL
ABSTRACT: With the passage of more time from the original date of
publication, the measure of the impact of scientific works using
subsequent citation counts becomes more accurate. However the measurement
of individual and organizational research productivity should ideally
refer to a period with closing date just prior to the evaluation
exercise. Therefore it is necessary to compromise between accuracy and
timeliness. This work attempts to provide an order of magnitude for the
error in measurement that occurs with decreasing the time lapse between
date of publication and citation count. The analysis is conducted by
scientific discipline on the basis of publications indexed in the Thomson
Reuters Italian National Citation Report. (C) 2011 Elsevier Ltd. All
rights reserved.
AUTHOR ADDRESS: G Abramo, Univ Roma Tor Vergata, Dipartimento Ingn Impresa,
Via Politecn 1, I-00133 Rome, Italy
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TITLE: h-Degree as a basic measure in weighted networks
(Article, English)
AUTHOR: Zhao, SX; Rousseau, R; Ye, FY
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.668-677
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005
KEYWORDS: h-Degree; Node strength; Network analysis; Weighted
networks; Informetric networks
KEYWORDS+: HIRSCH-TYPE INDEXES; CENTRALITY; SCIENCE; COCITATION;
MODELS
ABSTRACT: We introduce the h-degree of a node as a basic indicator
for weighted networks. The h-degree (d(h)) of a node is the number d(h)
if this node has at least d(h) links with other nodes and the strength of
each of these links is greater than or equal to d(h). Based on the notion
of h-degree other notions are developed such as h-centrality and h-
centralization, leading to a new set of indicators characterizing nodes
in a network. (C) 2011 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: FY Ye, Zhejiang Univ, Dept Informat Resource Management, 38
Zheda Rd, Hangzhou 310027, Zhejiang, Peoples R China
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TITLE: Bibliometric impact assessment with R and the CITAN
package (Article, English)
AUTHOR: Gagolewski, M
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.678-692
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): HIRSCH JE P NATL ACAD SCI USA 102:16569 2005;
BIBLIOMETR* item_title
KEYWORDS: Data analysis software; Quality control in science;
Citation analysis; Bibliometrics; Hirsch's h index;
Egghe's g index; SciVerse Scopus
KEYWORDS+: H-INDEX; SCIENTIFIC IMPACT; OUTPUT; DATABASES; SCIENCE;
SCOPUS; WEB
ABSTRACT: In this paper CITAN, the CITation ANalysis package for R
statistical computing environment, is introduced. The main aim of the
software is to support bibliometricians with a tool for preprocessing and
cleaning bibliographic data retrieved from SciVerse Scopus and for
calculating the most popular indices of scientific impact.
To show the practical usability of the package, an exemplary assessment
of authors publishing in the fields of scientometrics and webometrics is
performed. (C) 2011 Elsevier Ltd. All rights reserved.
AUTHOR ADDRESS: M Gagolewski, Polish Acad Sci, Syst Res Inst, Ul Newelska
6, PL-01447 Warsaw, Poland
-----------------------------------------------------------
TITLE: Is it necessary to consider suburbs (or small cities in
the close proximity) and name variants in a citation impact analysis for
bigger cities? An investigation using Munich as an example (Letter,
English)
AUTHOR: Bornmann, L; Plume, A
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.695-697
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): CITATION item_title; CITATION* item_title;
LETTER* doctype
AUTHOR ADDRESS: L Bornmann, Max Planck Soc, Hofgartenstr 8, D-80539 Munich,
Germany
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TITLE: Comparing impact factors from two different citation
databases: The case of Computer Science (Article, English)
AUTHOR: Sicilia, MA; Sanchez-Alonso, S; Garcia-Barriocanal, E
SOURCE: JOURNAL OF INFORMETRICS 5 (4). OCT 2011. p.698-704
ELSEVIER SCIENCE BV, AMSTERDAM
SEARCH TERM(S): GARFIELD E rauth; CITATION item_title;
CITATION* item_title; IMPACT FACTOR* item_title;
GARFIELD E JAMA-J AM MED ASSOC 295:90 2006;
GARFIELD E SCIENCE 122:108 1955
KEYWORDS: Impact factor; Citation database; Journal Citation
Reports (JCR); Scimago Journal Rank (SJR); Research
outcome evaluation
KEYWORDS+: WEB-OF-SCIENCE; JOURNAL IMPACT; SCOPUS
ABSTRACT: Journal impact factors continue to play an important role
in research output assessment, in spite of the criticisms and debates
around them. The impact factor rankings provided in the Journal Citation
Reports (JCR (TM)) database by Thompson Reuters have enjoyed a position
of monopoly for many years. But this has recently changed with the
availability of the Scopus (TM) database and its associated journal
ranking published in the Scimago Journal Rank (SJR) Web page, as the
former provides a citation database with similar inclusion criteria to
those used in the JCR and the latter and openly accessible impact factor-
based ranking. The availability of alternatives to the JCR impact factor
listings using a different citation database raises the question of the
extent to which the two rankings can be considered equally valid for
research evaluation purposes. This paper reports the results of a
contrast of both listings in Computer Science-related topics. It attempts
to answer the validity question by comparing the impact factors of
journals ranked in both listings and their relative position. The results
show that impact factors for journals included in both rankings are
strongly correlated, with SJR impact factors in general slightly higher,
confirming previous studies related to other disciplines. Nonetheless,
the consideration of tercile and quartile position of journal yields some
divergences for journals appearing in both rankings that need to be
accounted for in research evaluation procedures. (C) 2011 Elsevier Ltd.
All rights reserved.
AUTHOR ADDRESS: MA Sicilia, Univ Alcala De Henares, Dept Comp Sci, Polytech
Bldg,Ctra Barcelona Km 33-6, Alcala De Henares 28871,
Madrid, Spain
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TITLE: The Virtues of Correct Citation Careful Referencing Is
Important but Is Often Neglected Even in Peer Reviewed Articles
(Editorial Material, English)
AUTHOR: Mertens, S; Baethge, C
SOURCE: DEUTSCHES ARZTEBLATT INTERNATIONAL 108 (33). AUG 19
2011. p.550-552 DEUTSCHER AERZTE-VERLAG GMBH, COLOGNE
SEARCH TERM(S): CITATION item_title; CITATION* item_title;
EDITORIAL doctype
KEYWORDS+: REFERENCE ACCURACY; JOURNALS
AUTHOR ADDRESS: S Mertens, Ottostr 12, D-50859 Cologne, Germany
--------------------------------------------------------------------------
[ ]<-- Enter an X to order article (IDS: BUF08 00001)
--------------------------------------------------------------------------
TITLE: Open Access: Key Strategic, Technical and Economic
Aspects Foreword (Editorial Material, English)
AUTHOR: Gibson, I
SOURCE: OPEN ACCESS: KEY STRATEGIC, TECHNICAL AND ECONOMIC
ASPECTS. 2006. p.XI-XII,217-234 CHANDOS PUBL, SAWSTON
SEARCH TERM(S): GARFIELD E rauth;
GARFIELD E SCIENCE 122:108 1955;
EDITORIAL doctype
KEYWORDS+: IMPACT; CITATIONS; DOCUMENTATION; SCIENTISTS; EVOLUTION;
SERIALS; PUBLISH; SYSTEM
-
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TITLE: Topic-Dependent Document Ranking: Citation Network
Analysis by Analogy to Memory Retrieval in the Brain (Article, English)
AUTHOR: Okamoto, H
SOURCE: ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN
2011, PT I 6791. 2011. p.371-378 SPRINGER-VERLAG BERLIN,
BERLIN
SEARCH TERM(S): GARFIELD E SCIENCE 122:108 1955
KEYWORDS: Bibliometrics; Scientometrics; Citation network; PageRank;
Memory retrieval; Continuous attractor; Graded persistent
activity
KEYWORDS+: PERSISTENT ACTIVITY; NEURAL INTEGRATOR; ACTIVATION;
ALGORITHM; PAGERANK; NEURONS; CORTEX; MODEL
ABSTRACT: We propose a method of citation analysis for evaluating
the topic-dependent importance of individual scientific papers. This
method assumes spreading activation in citation networks with a multi-
hysteretic input/output relationship for each node (paper). The multi-
hysteretic property renders the steady state of spreading activation
continuously dependent on the initial state. Given a topic represented by
the initial state, the importance of individual papers can be defined by
the activities they have in the steady state. We have devised this method
inspired by memory retrieval in the brain, where the multi-hysteretic
property of single cells or neuronal networks is considered to play an
essential role for cue-dependent retrieval of memory. Quantitative
evaluation using a restoration problem has revealed that the performance
of the proposed method is considerably higher than that of the benchmark
method. We demonstrate the practical usefulness of the proposed method by
applying it to a citation network of neuroscience papers.
AUTHOR ADDRESS: H Okamoto, Fuji Xerox Co Ltd, Res & Dev Grp, Nishi Ku, 6-1
Minatomirai, Yokohama, Kanagawa 2208668, Japan
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