Mingers J, Meyer M. Normalizing Google Scholar data for use in research evaluation. Scientometrics 2017;112(2):1111-1121
(doi: 10.1007/s11192-017-2415-x)
Bibliometric evaluations across disciplines require that the data are normalized to the field as the fields are very different in their citation processes. This paper tests a method for Google Scholar (GS) normalization developed by Bornmann et al. 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.
https://link.springer.com/article/10.1007/s11192-017-2415-x
(doi: 10.1007/s11192-017-2415-x)
Bibliometric evaluations across disciplines require that the data are normalized to the field as the fields are very different in their citation processes. This paper tests a method for Google Scholar (GS) normalization developed by Bornmann et al. 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.
https://link.springer.com/article/10.1007/s11192-017-2415-x
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