Papers on bibliometrics and impact factor

Eugene Garfield eugene.garfield at THOMSONREUTERS.COM
Fri Jan 20 12:29:52 EST 2012


 

 

 
 
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TITLE:          A bibliometric study of Video Retrieval Evaluation
                Benchmarking (TRECVid): A methodological analysis (Article, English)
AUTHOR:         Thornley, CV; McLoughlin, SJ; Johnson, AC; Smeaton, AF
SOURCE:         JOURNAL OF INFORMATION SCIENCE 37 (6). DEC 2011.
                p.577-593 SAGE PUBLICATIONS LTD, LONDON

SEARCH TERM(S):  GARFIELD E  rauth;
                 HIRSCH JE          P NATL ACAD SCI USA   102:16569 2005;
                 BIBLIOMETR*  item_title; J INF SCI  source_abbrev_20

KEYWORDS:       bibliometrics; methodology; research evaluation; TRECVid;
                video retrieval; visualization
KEYWORDS+:       WEB-OF-SCIENCE; GOOGLE SCHOLAR; H-INDEX; CITATION
                ANALYSIS; SCOPUS; IMPACT; JOURNALS; COUNTS

ABSTRACT:       This paper provides a discussion and analysis of
methodological issues encountered during a scholarly impact and bibliometric study within the field of Computer Science (TRECVid Text Retrieval and Evaluation Conference, Video Retrieval Evaluation). The purpose of this paper is to provide a reflection and analysis of the methods used to provide useful information and guidance for those who may wish to undertake similar studies, and is of particular relevance for the academic disciplines which have publication and citation norms that may not perform well using traditional tools. Scopus and Google Scholar are discussed and a detailed comparison of the effects of different search methods and cleaning methods within and between these tools for subject and author analysis is provided. The additional database capabilities and usefulness of 'Scopus More' in addition to 'Scopus General' are discussed and evaluated. Scopus paper coverage is found to favourably compare with Google Scholar but Scholar consistently has superior performance at finding citations to those papers. These additional citations significantly increase the citation totals and also change the relative ranking of papers. Publish or Perish, a software wrapper for Google Scholar, is also examined and its limitations and some possible solutions are described. Data cleaning methods, including duplicate checks, expert domain checking of bibliographic data, and content checking of retrieved papers, are compared and their relative effects on paper and citation count discussed. Google Scholar and Scopus are also compared as tools for collecting bibliographic data for visualizations of developing trends and, owing to the comparative ease of collecting abstracts, Scopus is found far more effective.

AUTHOR ADDRESS: CV Thornley, UCL, Dept Informat Studies, Mortimer St,
                London WC1E 6BT, England
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TITLE:          A personalized search using a semantic distance measure
                in a graph-based ranking model (Article, English)
AUTHOR:         Daoud, M; Tamine, L; Boughanem, M
SOURCE:         JOURNAL OF INFORMATION SCIENCE 37 (6). DEC 2011.
                p.614-636 SAGE PUBLICATIONS LTD, LONDON

SEARCH TERM(S):  J INF SCI  source_abbrev_20

KEYWORDS:       graph formalism; ontology; personalization; user profile
KEYWORDS+:       INFORMATION-RETRIEVAL; WEB SEARCH; ANATOMY

ABSTRACT:       The goal of search personalization is to tailor search
results to individual users by taking into account their profiles, which include their particular interests and preferences. As these latter are multiple and change over time, personalization becomes effective when the search process takes into account the current user interest. This article presents a search personalization approach that models a semantic user profile and focuses on a personalized document ranking model based on an extended graph-based distance measure. Documents and user profiles are both represented by graphs of concepts issued from predefined web ontology, namely, the Open Directory Project directory (ODP).
Personalization is then based on reordering the search results of related queries according to a graph-based document ranking model. This former is based on using a graph-based distance measure combining the minimum common supergraph and the maximum common subgraph between the document and the user profile graphs. We extend this measure in order to take into account a semantic recovery at exact and approximate concept-level matching. Experimental results show the effectiveness of our personalized graph-based ranking model compared with Yahoo and different personalized ranking models performed using classical graph-based measures or vector- space similarity measures.

AUTHOR ADDRESS: M Daoud, Univ Toulouse 3, IRIT, 118 Route Narbonne, F-31062
                Toulouse 9, France
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TITLE:          THE RESEARCH PUBLISHED IN OIL SHALE: HOW IT LOOKS IN
                BIBLIOMETRIC INDICATORS (Editorial Material, English)
AUTHOR:         Kalm, V
SOURCE:         OIL SHALE 28 (4). 2011. p.467-468 ESTONIAN ACADEMY
                PUBLISHERS, TALLINN

SEARCH TERM(S):  BIBLIOMETR*  item_title; EDITORIAL  doctype


AUTHOR ADDRESS: V Kalm, Univ Tartu, Tartu, Estonia

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TITLE:          ANALYSIS OF SCIENTIFIC PUBLICATIONS IN CIVIL AND GEODETIC
                ENGINEERING IN SLOVENIA, IN THE CASE OF THE FACULTY OF CIVIL AND GEODETIC
                ENGINEERING IN UNIVERSITY OF LJUBLJANA (Article, Slovene)
AUTHOR:         Povh, TK; Juznic, P; Turk, Z; Turk, G
SOURCE:         GEODETSKI VESTNIK 55 (4). DEC 2011. p.764-780 ASSOC
                SURVEYORS SLOVENIA, LJUBLJANA

SEARCH TERM(S):  GARFIELD E  rauth

KEYWORDS:       scientific publications; civil engineering; geodesy;
                citations of publications; open access; green road of
                open access
KEYWORDS+:       OPEN-ACCESS; CITATION; IMPACT

ABSTRACT:       The development of science is accompanied by the growth
of scientific publications in the form of articles in peer-reviewed scientific journals. We analysed the scientific papers of the employees of the Faculty of Civil and Geodetic Engineering, University of Ljubljana, in the field of construction and geodesy for the period from
2003 to 2008, their citations, methods of publication and open access.
The analysis was conducted in the ISI/Web of Knowledge and Google Scholar information systems. We wanted to determine how both information systems show the visibility of scientific production, specifically the number of articles and their citations, and make data comparisons. We have not found many significant differences in the information systems regarding these two elements.

AUTHOR ADDRESS: TK Povh, UL FGG Knjiznica, Jamova 1, SI-1000 Ljubljana,
                Slovenia

 
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