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 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 variation1 .

• Type: Journal
• Year: 2010
• Where: SCIENTOMETRICS
• Authors: Massimo Franceschet
• Keywords: Data Sources, Different Data Sources, Google Scholar, SCIENTOMETRICS 2010