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Normalizing Google Scholar data for use in research evaluation

Author

Listed:
  • John Mingers

    (University of Kent)

  • Martin Meyer

    (University of Kent)

Abstract

Using bibliometric data for the evaluation of the research of institutions and individuals is becoming increasingly common. Bibliometric evaluations across disciplines require that the data be normalized to the field because the fields are very different in their citation processes. Generally, the major bibliographic databases such as Web of Science (WoS) and Scopus are used for this but they have the disadvantage of limited coverage in the social science and humanities. Coverage in Google Scholar (GS) is much better but GS has less reliable data and fewer bibliometric tools. This paper tests a method for GS normalization developed by Bornmann et al. (J Assoc Inf Sci Technol 67:2778–2789, 2016) on an alternative set of data involving journal papers, book chapters and conference papers. The results show that GS normalization is possible although at the moment it requires extensive manual involvement in generating and validating the data. A comparison of the normalized results for journal papers with WoS data shows a high degree of convergent validity.

Suggested Citation

  • John Mingers & Martin Meyer, 2017. "Normalizing Google Scholar data for use in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1111-1121, August.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:2:d:10.1007_s11192-017-2415-x
    DOI: 10.1007/s11192-017-2415-x
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    References listed on IDEAS

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    8. Luna-Morales Maria Elena & Luna-Morales Evelia & Pérez-Angón Miguel Ángel, 2021. "Influence of the international collaboration in the field of metric studies of science and technology: the case of Mexico (1971–2018)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2485-2511, March.
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    10. Diana Barros (a) Aurora A.C. Teixeira (b), 2021. "A Portrait of Development Economics in the Last Sixty Years," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(2), pages 69-118, June.

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