Paper Info
Title
A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar
Abstract
Given the current availability of different bibliometric indica- tors and of production and citation data sources, the following two ques- tions immediately arise: do the indicators' scores differ when computed on different data sources? More importantly, do the indicator-based rank- ings 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 variation1.
Year
DOI
Venue
2010
10.1007/s11192-009-0021-2
Scientometrics
Keywords
Field
DocType
Bibliometric indicators,h Index,Publication and citation data sources,Correlation analysis
Data science,Data mining,Computer science,Citation,Correlation analysis
Journal
Volume
Issue
ISSN
83
1
0138-9130
Citations 
PageRank 
References 
48
2.02
28
Authors
1
Name
Order
Citations
PageRank
Massimo Franceschet165839.91