Publication | Open Access
The <scp>G</scp>oogle scholar experiment: How to index false papers and manipulate bibliometric indicators
232
Citations
28
References
2013
Year
AltmetricsIndex False PapersS CholarResearch CommunityEngineeringInformation RetrievalData ScienceScholar ExperimentLegal CitationBibliometricsManipulate Bibliometric IndicatorsCitation GraphCitation AnalysisContent AnalysisStatisticsG RanadaImpact Factor
G oogle S cholar has been well received by the research community. Its promises of free, universal, and easy access to scientific literature coupled with the perception that it covers the social sciences and the humanities better than other traditional multidisciplinary databases have contributed to the quick expansion of G oogle S cholar C itations and G oogle S cholar M etrics: 2 new bibliometric products that offer citation data at the individual level and at journal level. In this article, we show the results of an experiment undertaken to analyze G oogle S cholar's capacity to detect citation‐counting manipulation. For this, we uploaded 6 documents to an institutional web domain that were authored by a fictitious researcher and referenced all the publications of the members of the EC 3 research group at the U niversity of G ranada. The detection by G oogle S cholar of these papers caused an outburst in the number of citations included in the G oogle S cholar C itations profiles of the authors. We discuss the effects of such an outburst and how it could affect the future development of such products, at both the individual level and the journal level, especially if G oogle S cholar persists with its lack of transparency.
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