Papers of possible interest to readers of the SIG-Metrics List (September 11, 2014)

[Eugene Garfield]

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Title:
Content-based citation analysis: The next generation of citation analysis

Authors:
Ding, Y; Zhang, G; Chambers, T; Song, M; Wang, XL; Zhai, CX

Author Full Names:
Ding, Ying; Zhang, Guo; Chambers, Tamy; Song, Min; Wang, Xiaolong; Zhai,
Chengxiang

Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (9):1820-1833; 10.1002/asi.23256 SEP 2014

Language:
English

Document Type:
Article

Author Keywords:
bibliographic citations, citation analysis

KeyWords Plus:
CONCEPT SYMBOLS; CLASSIFICATION; INFORMATION; SCIENCE; RETRIEVAL; STATEMENTS; REFERENCES; SOCIOLOGY; RELEVANCE; NETWORKS

Abstract:
Traditional citation analysis has been widely applied to detect patterns
of scientific collaboration, map the landscapes of scholarly
disciplines, assess the impact of research outputs, and observe
knowledge transfer across domains. It is, however, limited, as it
assumes all citations are of similar value and weights each equally.
Content-based citation analysis (CCA) addresses a citation's value by
interpreting each one based on its context at both the syntactic and
semantic levels. This paper provides a comprehensive overview of CAA
research in terms of its theoretical foundations, methodical approaches,
and example applications. In addition, we highlight how increased
computational capabilities and publicly available full-text resources
have opened this area of research to vast possibilities, which enable
deeper citation analysis, more accurate citation prediction, and
increased knowledge discovery.

Addresses:
[Ding, Ying; Zhang, Guo; Chambers, Tamy] Indiana Univ, Dept Informat & Lib Sci, Sch Informat & Comp, Bloomington, IN 47405 USA.
[Song, Min] Yonsei Univ, Dept Lib & Informat Sci, Coll Liberal Arts, Seoul 120749, South Korea.
[Wang, Xiaolong; Zhai, Chengxiang] Univ Illinois, Dept Comp Sci, Coll Engn, Urbana, IL 61801 USA.

E-mail Addresses:
dingying at indiana.edu; guozhang at indiana.edu; tisch at indiana.edu; min.song at yonsei.ac.kr; xwang95 at illinois.edu; czhai at illinois.edu

Funding Acknowledgement:
National Research Foundation of Korea - Korean Government [NRF-2009-361-A00027]

Funding Text:
Min Song was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2009-361-A00027).

Cited Reference Count:
88

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
2330-1635

eISSN:
2330-1643

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
AN3IC

Unique ID:
WOS:000340479500006

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Title:
Are all literature citations equally important? Automatic citation strength estimation and its applications

Authors:
Wan, XJ; Liu, F

Author Full Names:
Wan, Xiaojun; Liu, Fang

Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (9):1929-1938; 10.1002/asi.23083 SEP 2014

Language:
English

Document Type:
Article

Author Keywords:
citation analysis

KeyWords Plus:
COCITATION

Abstract:
Literature citation analysis plays a very important role in
bibliometrics and scientometrics, such as the Science Citation Index
(SCI) impact factor, h-index. Existing citation analysis methods assume
that all citations in a paper are equally important, and they simply
count the number of citations. Here we argue that the citations in a
paper are not equally important and some citations are more important
than the others. We use a strength value to assess the importance of
each citation and propose to use the regression method with a few useful
features for automatically estimating the strength value of each
citation. Evaluation results on a manually labeled data set in the
computer science field show that the estimated values can achieve good
correlation with human-labeled values. We further apply the estimated
citation strength values for evaluating paper influence and author
influence, and the preliminary evaluation results demonstrate the
usefulness of the citation strength values.

Addresses:
[Wan, Xiaojun] Peking Univ, Inst Comp Sci & Technol, Beijing 100871, Peoples R China.
[Wan, Xiaojun] Peking Univ, MOE Key Lab Computat Linguist, Beijing 100871, Peoples R China.
[Liu, Fang] Beijing Normal Univ, Dept Comp Sci & Technol, Beijing 100875, Peoples R China.

E-mail Addresses:
wanxiaojun at pku.edu.cn; liuf at mail.bnu.edu.cn

Funding Acknowledgement:
National Natural Science Foundation of China (NSFC) [61170166]; National High Technology Research and Development Program of China (863 Program) [2012AA011101]

Funding Text:
We thank the anonymous reviewers for their helpful comments. We also thank Xiaojiang Huang and Xinjie Zhou for labeling the data and thank YingBo Zhu for developing the labeling tool. The work was supported by National Natural Science Foundation of China (NSFC; grant 61170166) and the National High Technology Research and Development Program of China (863 Program; grant 2012AA011101).

Cited Reference Count:
36

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
2330-1635

eISSN:
2330-1643

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
AN3IC

Unique ID:
WOS:000340479500013

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Title:
>From P100 to P100': A new citation-rank approach

Authors:
Bornmann, L; Mutz, R

Author Full Names:
Bornmann, Lutz; Mutz, Ruediger

Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (9):1939-1943; 10.1002/asi.23152 SEP 2014

Language:
English

Document Type:
Article

Author Keywords:
scientometrics

KeyWords Plus:
PERCENTILES; INDICATORS; IMPACT; PUBLICATION

Abstract:
Properties of a percentile-based rating scale needed in bibliometrics
are formulated. Based on these properties, P100 was recently introduced
as a new citation-rank approach (Bornmann, Leydesdorff, & Wang, 2013).
In this paper, we conceptualize P100 and propose an improvement which we
call P100'. Advantages and disadvantages of citation-rank indicators are
noted.

Addresses:
[Bornmann, Lutz] Adm Headquarters Max Planck Soc, Div Sci & Innovat Studies, Munich, Germany.
[Mutz, Ruediger] ETH, Zurich, Switzerland.

E-mail Addresses:
bornmann at gv.mpg.de; ruediger.mutz at gess.ethz.ch

Cited Reference Count:
13

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
2330-1635

eISSN:
2330-1643

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
AN3IC

Unique ID:
WOS:000340479500014

Cited References:
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Title:
Emerging trends and new developments in regenerative medicine: a scientometric update (2000 - 2014)

Authors:
Chen, CM; Dubin, R; Kim, MC

Author Full Names:
Chen, Chaomei; Dubin, Rachael; Kim, Meen Chul

Source:
EXPERT OPINION ON BIOLOGICAL THERAPY, 14 (9):1295-1317; 10.1517/14712598.2014.920813 SEP 2014

Language:
English

Document Type:
Review

Author Keywords:
CiteSpace, graphene, regenerative medicine, review, scientometrics, tissue engineering

KeyWords Plus:
PLURIPOTENT STEM-CELLS; RANDOMIZED PHASE-1 TRIAL; MODIFIED T-CELLS; DEFINED FACTORS; MYOCARDIAL-INFARCTION; SCIENTIFIC LITERATURE; CLINICAL-APPLICATION; SOMATIC-CELLS; FIBROBLASTS; GENERATION

Abstract:
Introduction: Our previous scientometric review of regenerative medicine
provides a snapshot of the fast-growing field up to the end of 2011. The
new review identifies emerging trends and new developments appearing in
the literature of regenerative medicine based on relevant articles and
reviews published between 2000 and the first month of 2014.
Areas covered: Multiple datasets of publications relevant to
regenerative medicine are constructed through topic search and citation
expansion to ensure adequate coverage of the field. Networks of co-cited
references representing the literature of regenerative medicine are
constructed and visualized based on a combined dataset of 71,393
articles published between 2000 and 2014. Structural and temporal
dynamics are identified in terms of most active topical areas and cited
references. New developments are identified in terms of newly emerged
clusters and research areas. Disciplinary-level patterns are visualized
in dual-map overlays.
Expert opinion: While research in induced pluripotent stem cells remains
the most prominent area in the field of regenerative medicine, research
related to clinical and therapeutic applications in regenerative
medicine has experienced a considerable growth. In addition, clinical
and therapeutic developments in regenerative medicine have demonstrated
profound connections with the induced pluripotent stem cell research and
stem cell research in general. A rapid adaptation of graphene-based
nanomaterials in regenerative medicine is evident. Both basic research
represented by stem cell research and application-oriented research
typically found in tissue engineering are now increasingly integrated in
the scientometric landscape of regenerative medicine. Tissue engineering
is an interdisciplinary field in its own right. Advances in multiple
disciplines such as stem cell research and graphene research have
strengthened the connections between tissue engineering and regenerative
medicine.

Addresses:
[Chen, Chaomei; Dubin, Rachael; Kim, Meen Chul] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.

E-mail Addresses:
chaomei.chen at drexel.edu

Cited Reference Count:
86

Times Cited:
0

Publisher:
INFORMA HEALTHCARE, TELEPHONE HOUSE, 69-77 PAUL STREET, LONDON EC2A 4LQ, ENGLAND

ISSN:
1471-2598

eISSN:
1744-7682

Web of Science Categories:
Biotechnology & Applied Microbiology; Medicine, Research & Experimental

Research Areas:
Biotechnology & Applied Microbiology; Research & Experimental Medicine

IDS Number:
AN3BN

Unique ID:
WOS:000340460000008

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Title:
Acknowledgments in scientific publications: Presence in Spanish science and text patterns across disciplines

Authors:
Diaz-Faes, AA; Bordons, M

Author Full Names:
Diaz-Faes, Adrian A.; Bordons, Maria

Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (9):1834-1849; 10.1002/asi.23081 SEP 2014

Language:
English

Document Type:
Article

Author Keywords:
bibliometrics, text mining

KeyWords Plus:
SOCIAL-SCIENCES; CO-AUTHORSHIPS; COLLABORATION; COMMUNICATION; 20TH-CENTURY; INFORMATION; HUMANITIES; SOCIOLOGY; ARTICLES; REWARD

Abstract:
The acknowledgments in scientific publications are an important feature
in the scholarly communication process. This research analyzes funding
acknowledgment presence in scientific publications and introduces a
novel approach for discovering text patterns by discipline in the
acknowledgment section of papers. First, the presence of acknowledgments
in 38,257 English-language papers published by Spanish researchers in
2010 is studied by subject area on the basis of the funding
acknowledgment information available in the Web of Science database.
Funding acknowledgments are present in two thirds of Spanish articles,
with significant differences by subject area, number of authors, impact
factor of journals, and, in one specific area, basic/applied nature of
research. Second, the existence of specific acknowledgment patterns in
English-language papers of Spanish researchers in 4 selected subject
categories (cardiac and cardiovascular systems, economics, evolutionary
biology, and statistics and probability) is explored through a
combination of text mining and multivariate analyses. Peer interactive
communication predominates in the more theoretical or social-oriented
fields (statistics and probability, economics), whereas the recognition
of technical assistance is more common in experimental research
(evolutionary biology), and the mention of potential conflicts of
interest emerges forcefully in the clinical field (cardiac and
cardiovascular systems). The systematic inclusion of structured data
about acknowledgments in journal articles and bibliographic databases
would have a positive impact on the study of collaboration practices in
science.

Addresses:
[Diaz-Faes, Adrian A.; Bordons, Maria] CSIC, Spanish Natl Res Council, IEDCYT, Ctr Human & Social Sci CCHS, Madrid 28037, Spain.

E-mail Addresses:
adrian.arias at cchs.csic.es; maria.bordons at cchs.csic.es

Funding Acknowledgement:
Spanish Ministry of Science and Innovation [CSO2008-06310]; Spanish National Research Council (JAE predoctoral grant)

Funding Text:
This research was supported by the Spanish Ministry of Science and Innovation (CSO2008-06310) and the Spanish National Research Council (JAE predoctoral grant). We are very thankful to Javier Aparicio and Ignacio Santabarbara for their valuable assistance in data management as well as to Isabel Gomez and Purificacion Galindo for their comments on a draft of this article. We especially thank two anonymous referees for their useful suggestions, which contributed significantly to improving the original manuscript.

Cited Reference Count:
55

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
2330-1635

eISSN:
2330-1643

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
AN3IC

Unique ID:
WOS:000340479500007

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Title:
Network Analysis of Publications on Topological Indices from the Web of Science

Authors:
Bodlaj, J; Batagelj, V

Author Full Names:
Bodlaj, Jernej; Batagelj, Vladimir

Source:
MOLECULAR INFORMATICS, 33 (8):514-535; 10.1002/minf.201400014 AUG 2014

Language:
English

Document Type:
Article

Author Keywords:
Clustering, Network analysis, Scientometrics, Topological index, Web of Science

KeyWords Plus:
SCIENTOMETRIC ANALYSIS

Abstract:
In this paper we analyze a collection of bibliographic networks,
constructed from the data from the Web of Science on works (papers,
books, etc.) on the topic of topological indices and on relating
scientific fields. We present the general outlook and more specific
findings about authors, works and journals, subtopics and keywords and
also important relations between them based on scientometric approaches
like the strongest and main citation paths, the main themes on citation
path based on key-words, results of co-authorship analysis in form of
the most prominent islands of citing authors, groups of collaborating
authors, two-mode cores of authors and works. We investigate the nature
of citing of authors, important journals and citing of works between
them, journals preferred by authors and expose hierarchy of similar
collaborating authors, based on keywords they use. We perform temporal
analysis on one important journal as well. We give a comprehensive
scientometric insight into the field of topological indices.

Addresses:
[Bodlaj, Jernej] Univ Ljubljana, Fac Comp & Informat Sci, Ljubljana 1000, Slovenia.
[Bodlaj, Jernej] Univ Primorska, Andrej Marusic Inst, Koper 6000, Slovenia.
[Batagelj, Vladimir] Univ Ljubljana, Fac Math & Phys, Dept Math, Ljubljana 1000, Slovenia.
[Batagelj, Vladimir] Inst Math Phys & Mech, Ljubljana 1000, Slovenia.

E-mail Addresses:
jernej.bodlaj at abelium.eu

Funding Acknowledgement:
Slovenian Research Agency (ARRS) [J5-5537]; EUROCORES Programme EUROGIGA (project GReGAS) of the European Science Foundation; European Union; European Social Fund; Slovenian Ministry of Education, Science and Sport; operation Competence Center KC CLASS - European Union, European Regional Fund

Funding Text:
Special thanks to professor Milan Randic and to the anonymous referees for their valuable comments and suggestions to improve the quality of the paper. This work has been in part financed by Slovenian Research Agency (ARRS), grant J5-5537, as well as by grant within the EUROCORES Programme EUROGIGA (project GReGAS) of the European Science Foundation. The first author was financed in part by the European Union, European Social Fund, Slovenian Ministry of Education, Science and Sport and in part through operation Competence Center KC CLASS, financed by the European Union, European Regional Fund.

Cited Reference Count:
41

Times Cited:
0

Publisher:
WILEY-V C H VERLAG GMBH, BOSCHSTRASSE 12, D-69469 WEINHEIM, GERMANY

ISSN:
1868-1743

eISSN:
1868-1751

Web of Science Categories:
Chemistry, Medicinal; Mathematical & Computational Biology

Research Areas:
Pharmacology & Pharmacy; Mathematical & Computational Biology

IDS Number:
AN3WF

Unique ID:
WOS:000340518700003

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Title:
A comparison of city size distributions for China and India from 1950 to 2010

Authors:
Luckstead, J; Devadoss, S

Author Full Names:
Luckstead, Jeff; Devadoss, Stephen

Source:
ECONOMICS LETTERS, 124 (2):290-295; 10.1016/j.econlet.2014.06.002 AUG 2014

Language:
English

Document Type:
Article

Author Keywords:
China, City size, General Pareto, India, Lognormal, Pareto

KeyWords Plus:
ZIPFS LAW; CITIES

Abstract:
We examine the distributions of Chinese and Indian city sizes for seven
decades (1950s to 2010s) using lognormal, Pareto, and general Pareto
distributions. We ascertain which distribution fits the data and how the
city size distributions change during these periods. The Chinese city
size distribution is represented by lognormal in the early periods
(1950-1990) and by Pareto in 2010, but is not characterized by Zipf,
which could be attributed to Chinese government's restrictions of
migration from rural to urban areas and the one-child policy. In
contrast, the Indian city size distribution transitions from lognormal
in the earlier periods to Zipf in the later periods. (C) 2014 The
Authors. Published by Elsevier B.V.

Addresses:
[Luckstead, Jeff] Univ Arkansas, Fayetteville, AR 72701 USA.
[Devadoss, Stephen] Univ Idaho, Moscow, ID 83843 USA.

E-mail Addresses:
jluckste at uark.edu

Cited Reference Count:
19

Times Cited:
0

Publisher:
ELSEVIER SCIENCE SA, PO BOX 564, 1001 LAUSANNE, SWITZERLAND

ISSN:
0165-1765

eISSN:
1873-7374

Web of Science Categories:
Economics

Research Areas:
Business & Economics

IDS Number:
AN1CP

Unique ID:
WOS:000340320600030

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Title:
COMMUNICATING SCIENCE IN INTERNATIONAL ENGLISH: SCHOLARLY JOURNALS, PUBLICATION PRAXIS, LANGUAGE DOMAIN LOSS AND BENEFITS

Authors:
Cianflone, E

Author Full Names:
Cianflone, Eugenio

Source:
CIRCULO DE LINGUISTICA APLICADA A LA COMUNICACION, (57):45-58; 10.5209/rev_CLAC.2014.v57.44514 2014

Language:
English

Document Type:
Article

Author Keywords:
International English, academic reading, academic writing, Lingua Franca

KeyWords Plus:
SCIENTIFIC PUBLICATION; GROWTH

Abstract:
The leading role of English as the international language of scientific
communication has been extensively studied. Available data show that
English exerts powerful effects in publication praxis since the use of a
common idiom, or Lingua Franca, serves two main assets: to gain
international visibility, funding and career advancement and to cater
for the worldwide communication of ideas among subjects with different
linguistic backgrounds. Aim of this paper is to discuss contemporary
publication praxis following specific datasets: the growth of scholarly
journals, the publication output in English compared to other national
languages, how this situation affects communication in writing and in
reading for scholarly research.

Addresses:
Univ Messina, I-98100 Messina, Italy.

Cited Reference Count:
38

Times Cited:
0

Publisher:
UNIV COMPLUTENSE MADRID, SERVICIO PUBLICACIONES, CIUDAD UNIV, OBISPO TREJO 3, MADRID, 28040, SPAIN

ISSN:
1576-4737

Web of Science Categories:
Linguistics; Language & Linguistics

Research Areas:
Linguistics

IDS Number:
AN1FD

Unique ID:
WOS:000340327200002

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Title:
Country of Authorship and Collaboration Affect Citations of Articles by South and East Asian Authors in Agronomy Journals: A Case Study of China, Japan, and India

Authors:
Xia, XD; Wang, ZG; Wu, YW; Ruan, LQ; Wang, L

Author Full Names:
Xia, Xiaodong; Wang, Zhigang; Wu, Yawen; Ruan, Liuqing; Wang, Lei

Source:
SERIALS REVIEW, 40 (2):118-122; 10.1080/00987913.2014.929610 2014

Language:
English

Document Type:
Article

Author Keywords:
citations, bibliometrics, journal impact factors

KeyWords Plus:
IMPACT FACTORS

Abstract:
A total of 7,707 agronomy papers (2006 to 2011) by Chinese, Indian, and
Japanese authors were identified in the Web of Science (WoS) database.
The impact factors (IFs) of papers and the uncited paper rate (UPR) in a
particular journal with a given country's authorship was calculated as
IFs calculated in Journal Citation Reports. For India, the impact
factors of articles authored within one country (within-country impact
factor) were significantly lower than the overall IF. The impact factors
of collaborative articles (collaborative impact factor) and
within-country impact factors for the three countries differed
significantly. The uncited rates of collaborative papers (uncited
collaborative paper rate) and uncited rates of papers authored within
one country (uncited within-country paper rate) of China and Japan were
significantly different. However, for India, the uncited collaborative
paper rate was significantly lower than the uncited within-country paper
rate; collaboration (mostly with developed countries) exerted a negative
effect.

Addresses:
[Xia, Xiaodong; Wang, Zhigang; Wu, Yawen; Ruan, Liuqing; Wang, Lei] China Natl Rice Res Inst, Ctr Sci & Tech Informat, Hangzhou 310006, Zhejiang, Peoples R China.

E-mail Addresses:
ricesong at gmail.com

Cited Reference Count:
13

Times Cited:
0

Publisher:
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND

ISSN:
0098-7913

eISSN:
1879-095X

Web of Science Categories:
Information Science & Library Science

Research Areas:
Information Science & Library Science

IDS Number:
AN0EU

Unique ID:
WOS:000340257300005

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Levitt Jonathan M., 2010, SCIENTOMETRICS, V85, P171
STATZNER B, 1995, OIKOS, V72, P440
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Bartneck Christoph, 2010, SCIENTOMETRICS, V85, P41
Kokko H, 1999, TRENDS IN ECOLOGY & EVOLUTION, V14, P382
Postma Erik, 2007, PLOS ONE, V2,
Meneghini Rogerio, 2008, PLOS ONE, V3,
Abbasi Alireza, 2013, JOURNAL OF INFORMETRICS, V7, P683
Gorraiz Juan, 2012, SCIENTOMETRICS13th International Conference on Scientometrics and Informetrics, JUL 04-07, 2011, Durban, SOUTH AFRICA, V91, P417
Gazni Ali, 2011, SCIENTOMETRICS, V87, P251
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Garfield E, 2006, JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, V295, P90

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Title:
INFOR-COMMUNICATIVE MNEMOSYNE: axiomatic possibility of construction of a memory concept for information science

Authors:
da Silva, LEF; de Oliveira, BJF

Author Full Names:
Ferreira da Silva, Luiz Eduardo; Freire de Oliveira, Bernardina Juvenal

Source:
INFORMACAO & SOCIEDADE-ESTUDOS, 24 (1):135-143; 2014

Language:
Portuguese

Document Type:
Article

Author Keywords:
Axiom, Concept, Information Science, Potentially Produced Memory

Abstract:
The present article intends to contextualize the concept of memory in
the universe of information science, since this conceptual polysemy is
marked by changes that pervade the trenches of society. Thus, we aimed
to point out axiomatically a specific memory concept for Information
Science. Through a theoretical and bibliographical investigation, we
tried to clarify the possibility of an axiom between the lines of
contemporary Information Science. Therefore, the memory in Information
Science can be dissociated from an interconnection with the evocation of
historical memory (space and time), because the memory of Information
Science is revitalized by informational traces via a potentially
produced memory that is mnemonically structured in the contours of
society through the bifurcation with organization, access and use of
information and later in the process of information representation and
retrieval.

Addresses:
[Ferreira da Silva, Luiz Eduardo] Fed Univ Para, BR-66059 Belem, Para, Brazil.
[Freire de Oliveira, Bernardina Juvenal] Fed Univ Para, Programa Posgrad Ciencia Informacao, BR-66059 Belem, Para, Brazil.

E-mail Addresses:
fabib at ufpa.br; bernardinafreire at gmail.com

Cited Reference Count:
26

Times Cited:
0

Publisher:
UNIV FEDERAL CAMPINA GRANDE, RUA APRIGIO VELOSO 882, BODO CONGO, CAMPINA GRANDE PB, 58109 090, BRAZIL

ISSN:
0104-0146

eISSN:
1809-4783

Web of Science Categories:
Information Science & Library Science

Research Areas:
Information Science & Library Science

IDS Number:
AN2QS

Unique ID:
WOS:000340431000011

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Title:
A Linked-Data-Driven and Semantically-Enabled Journal Portal for Scientometrics

Authors:
Hu, Y; Janowicz, K; McKenzie, G; Sengupta, K; Hitzler, P

Author Full Names:
Hu, Yingjie; Janowicz, Krzysztof; McKenzie, Grant; Sengupta, Kunal;
Hitzler, Pascal

Edited by:
Alani H; Kagal L; Fokoue A; Groth P; Biemann C; Parreira JX; Aroyo L; Noy N; Welty C; Janowicz K

Source:
SEMANTIC WEB - ISWC 2013, PART II, 8219 114-129; 2013

Book Series:
Lecture Notes in Computer Science

Language:
English

Document Type:
Proceedings Paper

Conference Title:
12th International Semantic Web Conference (ISWC)

Conference Date:
OCT 21-25, 2013

Conference Location:
Sydney, AUSTRALIA

Conference Sponsors:
Bing, Fluid Operat, Microsoft Res, PreviousNext, IBM Res, Ontotext, Yahoo, IOS Press, OpenLink Software

KeyWords Plus:
INDEX; WEB

Abstract:
The Semantic Web journal by IOS Press follows a unique open and
transparent process during which each submitted manuscript is available
online together with the full history of its successive decision
statuses, assigned editors, solicited and voluntary reviewers, their
full text reviews, and in many cases also the authors' response letters.
Combined with a highly-customized, Drupal-based journal management
system, this provides the journal with semantically rich manuscript time
lines and networked data about authors, reviewers, and editors. These
data are now exposed using a SPARQL endpoint, an extended Bibo ontology,
and a modular Linked Data portal that provides interactive
scientometrics based on established and new analysis methods. The portal
can be customized for other journals as well.

Addresses:
[Hu, Yingjie; Janowicz, Krzysztof; McKenzie, Grant] Univ Calif, Santa Barbara, CA 93106 USA.

Cited Reference Count:
17

Times Cited:
0

Publisher:
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY

ISSN:
0302-9743

ISBN:
978-3-642-41338-4; 978-3-642-41337-7

Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods

Research Areas:
Computer Science

IDS Number:
BB0MJ

Unique ID:
WOS:000340422700008

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Title: Content-based citation analysis: The next generation of citation analysis
Authors: Ding, Y; Zhang, G; Chambers, T; Song, M; Wang, XL; Zhai, CX
Author Full Names: Ding, Ying; Zhang, Guo; Chambers, Tamy; Song, Min; Wang, Xiaolong; Zhai, Chengxiang
Source: JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (9):1820-1833; 10.1002/asi.23256<http://dx.doi.org/10.1002/asi.23256> SEP 2014
Language: English
Document Type: Article
Author Keywords: bibliographic citations, citation analysis
KeyWords Plus: CONCEPT SYMBOLS; CLASSIFICATION; INFORMATION; SCIENCE; RETRIEVAL; STATEMENTS; REFERENCES; SOCIOLOGY; RELEVANCE; NETWORKS
Abstract: Traditional citation analysis has been widely applied to detect patterns of scientific collaboration, map the landscapes of scholarly disciplines, assess the impact of research outputs, and observe knowledge transfer across domains. It is, however, limited, as it assumes all citations are of similar value and weights each equally. Content-based citation analysis (CCA) addresses a citation's value by interpreting each one based on its context at both the syntactic and semantic levels. This paper provides a comprehensive overview of CAA research in terms of its theoretical foundations, methodical approaches, and example applications. In addition, we highlight how increased computational capabilities and publicly available full-text resources have opened this area of research to vast possibilities, which enable deeper citation analysis, more accurate citation prediction, and increased knowledge discovery.
Addresses: [Ding, Ying; Zhang, Guo; Chambers, Tamy] Indiana Univ, Dept Informat & Lib Sci, Sch Informat & Comp, Bloomington, IN 47405 USA.
[Song, Min] Yonsei Univ, Dept Lib & Informat Sci, Coll Liberal Arts, Seoul 120749, South Korea.
[Wang, Xiaolong; Zhai, Chengxiang] Univ Illinois, Dept Comp Sci, Coll Engn, Urbana, IL 61801 USA.
E-mail Addresses: dingying at indiana.edu; guozhang at indiana.edu; tisch at indiana.edu; min.song at yonsei.ac.kr; xwang95 at illinois.edu; czhai at illinois.edu
Funding Acknowledgement: National Research Foundation of Korea - Korean Government [NRF-2009-361-A00027]
Funding Text: Min Song was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2009-361-A00027).
Cited Reference Count: 88
Times Cited: 0
Publisher: WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
ISSN: 2330-1635
eISSN: 2330-1643
Web of Science Categories: Computer Science, Information Systems; Information Science & Library Science
Research Areas: Computer Science; Information Science & Library Science
IDS Number: AN3IC
Unique ID: WOS:000340479500006
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Search terms matched: BIBLIOMETRICS(1)
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Title: A systematic way of identifying and forecasting technological reverse salients using QFD, bibliometrics, and trend impact analysis: A carbon nanotube biosensor case
Authors: Han, K; Shin, J
Author Full Names: Han, Kyunam; Shin, Juneseuk
Source: TECHNOVATION, 34 (9):559-570; SI 10.1016/j.technovation.2014.05.009<http://dx.doi.org/10.1016/j.technovation.2014.05.009> SEP 2014
Language: English
Document Type: Article
Author Keywords: Reverse salient, Forecasting, QFD, Bibliometrics, Trend impact analysis, Carbon nanotube biosensor
KeyWords Plus: EMERGING TECHNOLOGIES; SENSORS; DELPHI; COMMERCIALIZATION; NANOTECHNOLOGY; PERFORMANCE; INDICATORS; INDUSTRIES; CHALLENGES; DIFFUSION
Abstract: Experts have more difficulty identifying reverse salients in R&D because of increasing technological complexity and a shortened technology lifecycle. As an alternative, we suggest a new and systematic method of identifying and forecasting reverse salients using QED (quality function deployment), bibliometric analysis, and TIA (trend impact analysis). QED allows users to systematically identify and prioritize reverse salients. An integration of QFD, bibliometric analysis, and TIA makes it possible to specify key performance indicators of reverse salient in order to identify the performance gap between current and market-required performance and to make a probabilistic forecast about when reverse salients will be corrected. Our method will help managers identify a top priority reverse salient, forecast its future, and thus make better R&D decisions with regard to market requirements. A carbon nanotube biosensor technology is used as an example. (C) 2014 Elsevier Ltd. All rights reserved.
Addresses: [Han, Kyunam] Korea Intellectual Property Strategy Inst, Dept Business Consulting, Seoul 135980, South Korea.
[Shin, Juneseuk] Sungkyunkwan Univ, Dept Syst Management Engn, Kyonggi Do 440746, South Korea.
E-mail Addresses: knhan at kipsi.re.kr; jsshin at skku.edu
Funding Acknowledgement: National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2013R1A1A2009406]
Funding Text: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2013R1A1A2009406).
Cited Reference Count: 65
Times Cited: 0
Publisher: ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISSN: 0166-4972
eISSN: 1879-2383
Web of Science Categories: Engineering, Industrial; Management; Operations Research & Management Science
Research Areas: Engineering; Business & Economics; Operations Research & Management Science
IDS Number: AN0YN
Unique ID: WOS:000340310000007
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[X]
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Title: Field-normalized bibliometric evaluation of leading research institutions in chemistry in China and India
Authors: Prathap, G
Author Full Names: Prathap, Gangan
Source: CURRENT SCIENCE, 107 (2):269-272; JUL 25 2014
Language: English
Document Type: Article
Author Keywords: Bibliometric indicators, chemistry, field-normalization, research institutions ranking
Abstract: Chemistry is the biggest area of research in which India publishes and it is the second biggest for China in recent years. Within this broad research area, the Council of Scientific and Industrial Research (CSIR) is India's biggest single academic research contributor, while the Chinese Academy of Sciences (CAS) is China's biggest player. In this communication, we use field-normalized bibliometric indicators from the latest (2013) release of SCImago Institutions Rankings World Reports to show that while the leading institutions from CSIR are showing a declining trend in the quality of research output, their counterparts from CAS are rapidly improving on both quality and quantity terms.
Addresses: CSIR, Natl Inst Interdisciplinary Sci & Technol, Thiruvananthapuram 695019, Kerala, India.
E-mail Addresses: gp at niist.res.in
Cited Reference Count: 3
Times Cited: 0
Publisher: INDIAN ACAD SCIENCES, C V RAMAN AVENUE, SADASHIVANAGAR, P B #8005, BANGALORE 560 080, INDIA
ISSN: 0011-3891
Web of Science Categories: Multidisciplinary Sciences
Research Areas: Science & Technology - Other Topics
IDS Number: AM6YN
Unique ID: WOS:000340012000026
Cited References:
Nishy P., 2012, SCIENTOMETRICS, V91, P245
Radojicic Zoran, 2012, CURRENT SCIENCE, V103, P158
Schubert A, 1996, SCIENTOMETRICS, V36, P311
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Title:
Content-based citation analysis: The next generation of citation analysis

Authors:
Ding, Y; Zhang, G; Chambers, T; Song, M; Wang, XL; Zhai, CX

Author Full Names:
Ding, Ying; Zhang, Guo; Chambers, Tamy; Song, Min; Wang, Xiaolong; Zhai,
Chengxiang

Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (9):1820-1833; 10.1002/asi.23256 SEP 2014

Language:
English

Document Type:
Article

Author Keywords:
bibliographic citations, citation analysis

KeyWords Plus:
CONCEPT SYMBOLS; CLASSIFICATION; INFORMATION; SCIENCE; RETRIEVAL; STATEMENTS; REFERENCES; SOCIOLOGY; RELEVANCE; NETWORKS

Abstract:
Traditional citation analysis has been widely applied to detect patterns
of scientific collaboration, map the landscapes of scholarly
disciplines, assess the impact of research outputs, and observe
knowledge transfer across domains. It is, however, limited, as it
assumes all citations are of similar value and weights each equally.
Content-based citation analysis (CCA) addresses a citation's value by
interpreting each one based on its context at both the syntactic and
semantic levels. This paper provides a comprehensive overview of CAA
research in terms of its theoretical foundations, methodical approaches,
and example applications. In addition, we highlight how increased
computational capabilities and publicly available full-text resources
have opened this area of research to vast possibilities, which enable
deeper citation analysis, more accurate citation prediction, and
increased knowledge discovery.

Addresses:
[Ding, Ying; Zhang, Guo; Chambers, Tamy] Indiana Univ, Dept Informat & Lib Sci, Sch Informat & Comp, Bloomington, IN 47405 USA.
[Song, Min] Yonsei Univ, Dept Lib & Informat Sci, Coll Liberal Arts, Seoul 120749, South Korea.
[Wang, Xiaolong; Zhai, Chengxiang] Univ Illinois, Dept Comp Sci, Coll Engn, Urbana, IL 61801 USA.

E-mail Addresses:
dingying at indiana.edu; guozhang at indiana.edu; tisch at indiana.edu; min.song at yonsei.ac.kr; xwang95 at illinois.edu; czhai at illinois.edu

Funding Acknowledgement:
National Research Foundation of Korea - Korean Government [NRF-2009-361-A00027]

Funding Text:
Min Song was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2009-361-A00027).

Cited Reference Count:
88

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
2330-1635

eISSN:
2330-1643

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
AN3IC

Unique ID:
WOS:000340479500006

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Title:
The greater scattering phenomenon beyond Bradford's law in patent citation

Authors:
Huang, MH; Huang, WT; Chang, CC; Chen, DZ; Lin, CP

Author Full Names:
Huang, Mu-Hsuan; Huang, Wei-Tzu; Chang, Cheng-Ching; Chen, Dar-Zen; Lin,
Chang-Pin

Source:
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, 65 (9):1917-1928; 10.1002/asi.23092 SEP 2014

Language:
English

Document Type:
Article

Author Keywords:
bibliometric scatter

KeyWords Plus:
RESEARCH-AND-DEVELOPMENT; SCIENTIFIC-RESEARCH; TECHNOLOGY; DISTRIBUTIONS; INDICATORS; SCIENCE; INFORMATION; INNOVATION; KNOWLEDGE; IMPACT

Abstract:
Patent analysis has become important for management as it offers timely
and valuable information to evaluate R&D performance and identify the
prospects of patents. This study explores the scattering patterns of
patent impact based on citations in 3 distinct technological areas, the
liquid crystal, semiconductor, and drug technological areas, to identify
the core patents in each area. The research follows the approach from
Bradford's law, which equally divides total citations into 3 zones.
While the result suggests that the scattering of patent citations
corresponded with features of Bradford's law, the proportion of patents
in the 3 zones did not match the proportion as proposed by the law. As a
result, the study shows that the distributions of citations in all 3
areas were more concentrated than what Bradford's law proposed. The
Groos (1967) droop was also presented by the scattering of patent
citations, and the growth rate of cumulative citation decreased in the
third zone.

Addresses:
[Huang, Mu-Hsuan; Huang, Wei-Tzu; Chang, Cheng-Ching] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 10764, Taiwan.
[Chen, Dar-Zen] Natl Taiwan Univ, Dept Mech Engn, Taipei 10764, Taiwan.
[Chen, Dar-Zen] Natl Taiwan Univ, Inst Ind Engn, Taipei 10764, Taiwan.
[Lin, Chang-Pin] Natl Taiwan Ocean Univ, Dept Mech & Mechatron Engn, Keelung, Taiwan.

E-mail Addresses:
mhhuang at ntu.edu.tw; wthuang at umich.edu; findweber at gmail.com; dzchen at ntu.edu.tw; b0195 at mail.ntou.edu.tw

Cited Reference Count:
82

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
2330-1635

eISSN:
2330-1643

Web of Science Categories:
Computer Science, Information Systems; Information Science & Library Science

Research Areas:
Computer Science; Information Science & Library Science

IDS Number:
AN3IC

Unique ID:
WOS:000340479500012

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Title:
The Temporal Logic of Citation in Chinese Painting

Authors:
Powers, MJ

Author Full Names:
Powers, Martin J.

Source:
ART HISTORY, 37 (4):745-+; SI 10.1111/1467-8365.12113 SEP 2014

Language:
English

Document Type:
Article

KeyWords Plus:
SONG

Abstract:
It is heuristically valuable to distinguish between citation and other
forms of repetition, such as copying, imitating, or emulating. The
characteristic of citation is simultaneous reference to two or more
incompatible styles in open opposition to the unified styles required
for replication. This requires the insight that all styles are products
of a particular historical moment. Naturalistic styles, then, become
just another kind of period style. This essay examines the theory and
practice of citation during the Song era and argues that such practices
were founded on broader historical theories that identified the engine
of historical change as natural, social, and institutional forces rather
than the actions of great men or gods. Such theories made it possible to
view each historical period as the product of specific historical
changes and so one could view period styles, likewise, as pictorial
tokens of particular moments in the history of art.

Addresses:
[Powers, Martin J.] Univ Michigan, Ctr Chinese Studies, Ann Arbor, MI 48109 USA.

Cited Reference Count:
34

Times Cited:
0

Publisher:
WILEY-BLACKWELL, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA

ISSN:
0141-6790

eISSN:
1467-8365

Web of Science Categories:
Art

Research Areas:
Art

IDS Number:
AN4GW

Unique ID:
WOS:000340546700008

Cited References:
Didi-Huberman Georges, 2002, Oxford Art Journal, V25, P61
Bush Susan, 1971, The Chinese Literati on Painting: Su Shih to Tung Ch'i-Ch'ang,
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Levy Ellen K., 2009, ART JOURNAL, V68, P88
Bol PK, 2001, HARVARD JOURNAL OF ASIATIC STUDIES, V61, P37

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Title:
Pain research in Africa: a ten-year bibliometric survey

Authors:
Onyeka, TC; Chukwuneke, FN

Author Full Names:
Onyeka, Tonia C.; Chukwuneke, Felix N.

Source:
JOURNAL OF ANESTHESIA, 28 (4):511-516; 10.1007/s00540-013-1767-5 AUG 2014

Language:
English

Document Type:
Article

Author Keywords:
Pain research, Africa, Bibliometric survey

KeyWords Plus:
CLINICAL-RESEARCH; MEDICAL JOURNALS; IMPACT-FACTOR; COUNTRIES; HEALTH; PUBLICATION; QUALITY; BIAS

Abstract:
Over the years, a trend for very low numbers of scientific publications
from Africa has emerged. There has been no evaluation of pain research
publications from this region. This study was conducted to determine the
African pain research spectrum over the last 10 years, to identify
trends in the number of publications from different countries, to
identify currently underexplored areas of pain research, and to
stimulate renewed interest in quality pain research in Nigeria and
Africa.
The English- and non-English-language medical literature on pain from
July 2002 to May 2012 was studied using Medline, the Ovid database, and
by performing hand searches of relevant references using Google.
Publications on pain by Africans and/or non-Africans conducted in Africa
on Africans living in Africa within the study period were included. The
total number of articles per country, publication types, and impact
factors of the respective journals were tabulated to determine the
quantity and quality of research in this field.
Two hundred twenty-eight (228) articles from 25 African countries that
were published in 129 different journals were identified. The majority
were epidemiological studies (43.9 %), experimental studies (20.2 %),
randomized controlled trials (2.2 %), and systematic reviews (1.8 %).
Nigeria, South Africa, and Uganda topped the list of the most-published
articles, with 76 (33.3 %), 71 (31.1 %), and 12 (5.3 %), respectively.
The total number of journals with impact factors was 81, of which 29
were high-impact-factor journals.
Pain research publications from Africa should be encouraged. Given the
underexplored frontiers of pain research, there is a need to engage in
rigorous research in this field to enhance the contribution of the
African continent ("the African Voice") to worldwide advances in this
respect.

Addresses:
[Onyeka, Tonia C.] UNTH, Dept Anaesthesia, Pain & Palliat Care Unit, Ituku Ozalla, Nigeria.
[Chukwuneke, Felix N.] Univ Nigeria Teaching Hosp, Dept Oral & Maxillofacial Surg, Ituku Ozalla, Enugu, Nigeria.

E-mail Addresses:
doctortoniaonyeka at gmail.com

Cited Reference Count:
33

Times Cited:
0

Publisher:
SPRINGER JAPAN KK, CHIYODA FIRST BLDG EAST, 3-8-1 NISHI-KANDA, CHIYODA-KU, TOKYO, 101-0065, JAPAN

ISSN:
0913-8668

eISSN:
1438-8359

Web of Science Categories:
Anesthesiology

Research Areas:
Anesthesiology

IDS Number:
AN3WY

Unique ID:
WOS:000340520600006

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Title:
A Linked-Data-Driven and Semantically-Enabled Journal Portal for Scientometrics

Authors:
Hu, Y; Janowicz, K; McKenzie, G; Sengupta, K; Hitzler, P

Author Full Names:
Hu, Yingjie; Janowicz, Krzysztof; McKenzie, Grant; Sengupta, Kunal;
Hitzler, Pascal

Edited by:
Alani H; Kagal L; Fokoue A; Groth P; Biemann C; Parreira JX; Aroyo L; Noy N; Welty C; Janowicz K

Source:
SEMANTIC WEB - ISWC 2013, PART II, 8219 114-129; 2013

Book Series:
Lecture Notes in Computer Science

Language:
English

Document Type:
Proceedings Paper

Conference Title:
12th International Semantic Web Conference (ISWC)

Conference Date:
OCT 21-25, 2013

Conference Location:
Sydney, AUSTRALIA

Conference Sponsors:
Bing, Fluid Operat, Microsoft Res, PreviousNext, IBM Res, Ontotext, Yahoo, IOS Press, OpenLink Software

KeyWords Plus:
INDEX; WEB

Abstract:
The Semantic Web journal by IOS Press follows a unique open and
transparent process during which each submitted manuscript is available
online together with the full history of its successive decision
statuses, assigned editors, solicited and voluntary reviewers, their
full text reviews, and in many cases also the authors' response letters.
Combined with a highly-customized, Drupal-based journal management
system, this provides the journal with semantically rich manuscript time
lines and networked data about authors, reviewers, and editors. These
data are now exposed using a SPARQL endpoint, an extended Bibo ontology,
and a modular Linked Data portal that provides interactive
scientometrics based on established and new analysis methods. The portal
can be customized for other journals as well.

Addresses:
[Hu, Yingjie; Janowicz, Krzysztof; McKenzie, Grant] Univ Calif, Santa Barbara, CA 93106 USA.

Cited Reference Count:
17

Times Cited:
0

Publisher:
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY

ISSN:
0302-9743

ISBN:
978-3-642-41338-4; 978-3-642-41337-7

Web of Science Categories:
Computer Science, Information Systems; Computer Science, Theory & Methods

Research Areas:
Computer Science

IDS Number:
BB0MJ

Unique ID:
WOS:000340422700008

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