A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar

Given the current availability of different bibliometric indicators and of production and citation data sources, the following two questions immediately arise: do the indicators’ scores differ when computed on different data sources? More importantly, do the indicator-based rankings significantly ch...

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Bibliographic Details
Published in:Scientometrics 2010-04, Vol.83 (1), p.243-258
Main Author: Franceschet, Massimo
Format: Article
Language:English
Subjects:
Bibliometrics
Computer Science
Information Storage and Retrieval
Library Science
Online data bases
Scholarly publishing
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Summary:Given the current availability of different bibliometric indicators and of production and citation data sources, the following two questions immediately arise: do the indicators’ scores differ when computed on different data sources? More importantly, do the indicator-based rankings significantly change when computed on different data sources? We provide a case study for computer science scholars and journals evaluated on Web of Science and Google Scholar databases. The study concludes that Google scholar computes significantly higher indicators’ scores than Web of Science. Nevertheless, citation-based rankings of both scholars and journals do not significantly change when compiled on the two data sources, while rankings based on the h index show a moderate degree of variation.
ISSN:0138-9130
1588-2861
DOI:10.1007/s11192-009-0021-2