Web-based citation analysis discerning self-citations
Citation statistics is widely accepted as an easy and balanced way to compare scientists, but their reliability depends on the availability of democratic and comprehensive bibliographic datasets. Google Scholar provides such a service that is freely available and widely used. Some studies show that 70% of Google Scholar citations cannot be found in Web of Science, which only includes citations published in indexed journals selected by their own criteria.
To take advantage of the preeminent Google Scholar data we developed CIDS (Citation Impact Discerning Self-citations), a user-friendly web tool that calculates different citation statistics, such as the h-index and g-index. The results are available in html, in spreadsheet files (tsv), and in BibTeX. The statistics take in account self-citations because even the h-index is influenced by self-citation and disregarding them can produce fallacious results.
CIDS currently marks a citation of an article as a self-citation if at least one of the citation's authors is also an author of the article.
- CIDS v3.0: using AJAX and Applet technology
- CIDS v2.2: the query is the same used by Scholar
- CIDS v2.1: self-citations include any co-author, includes output in BibTeX format
- CIDS v2.0: analyses Google Scholar queries, output in HTML and Excel
- CIDS v1: analyses Harzing results, output in XML
Francisco Couto, Ivan Andrade, Pedro Gonçalves, Paulo Verissimo, Benchmarking some Portuguese ST system research units Technical Report. Technical Report . DI FCUL Tecnical Report, 2010.
Francisco Couto, Catia Pesquita, Tiago Grego, Paulo Verissimo 2009: Handling self-citations using Google Scholar. Cybermetrics: International Journal of Scientometrics, Informetrics and Bibliometrics.