Abstract
In a recent paper in Scientometrics, Gagolewski et al. (2022) elaborated on a 3DSI model (3 dimensions of scientific impact) using a triplet of primary indicators (N, the number of papers for an author’s productivity, C, the number of citations for overall impact, and ρ for the shape of the citation distribution). The 3DSI model is an agent-based model (Siudem et al. in Proc Natl Acad Sci 117:13896–13900, 2020, https://doi.org/10.1073/pnas.2001064117), which assumes that citations are distributed according to a mixture of the rich-get-richer rule and sheer chance.
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References
Gagolewski, M., Żogała-Siudem, B., Siudem, G., & Cena, A. (2022). Ockham’s index of citation impact. Scientometrics. https://doi.org/10.1007/s11192-022-04345-2
Glanzel, W. (2006). On the h-index—A mathematical approach to a new measure of publication activity and citation impact. Scientometrics, 67, 315–321.
Prathap, G. (2010a). Is there a place for a mock h-index? Scientometrics, 84, 153–165.
Prathap, G. (2010b). The 100 most prolific economists using the p-index. Scientometrics, 84, 167–172.
Prathap, G. (2014). The zynergy-index and the formula for the h-index. Journal of the Association for Information Science and Technology, 65, 426–427.
Schubert, A., & Glanzel, W. (2007). A systematic analysis of Hirsch-type indices for journals. Journal of Informetrics, 1, 179–184.
Siudem, G., Żogała-Siudem, B., Cena, A., & Gagolewski, M. (2020). Three dimensions of scientific impact. Proceedings of the National Academy of Sciences (PNAS), 117, 13896–13900. https://doi.org/10.1073/pnas.2001064117
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The author is very thankful to the anonymous referee for comments that have greatly enhanced the presentation.
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Prathap, G. Letter to the editor: comments on the paper of Gagolewski et al.: Ockham’s index of citation impact. Scientometrics 127, 6051–6054 (2022). https://doi.org/10.1007/s11192-022-04496-2
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DOI: https://doi.org/10.1007/s11192-022-04496-2