A two-dimensional bibliometric index reflecting both quality and quantity

Mark Levene (), Martyn Harris () and Trevor Fenner ()
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Mark Levene: University of London
Martyn Harris: University of London
Trevor Fenner: University of London

Scientometrics, 2020, vol. 123, issue 3, No 7, 1235-1246

Abstract: Abstract We propose a two-dimensional bibliometric index that strikes a balance between quantity (as measured by the number of publications of a researcher) and quality (as measured by the number of citations to those publications). While the square of h-index is determined by the maximum area square that fits under the citation curve of an author when plotting the number of citations in decreasing order, the rec-index is determined by the maximum area rectangle that fits under the curve. In this context we may distinguish between authors with a few very highly-cited publications, who may have carried out some influential research, and prolific authors, who may have many publications but fewer citations per publication. The influence of a researcher may be measured via a restricted version of the rec-index, the $${rec}_{I}$$recI-index, which is the maximum area vertical rectangle that fits under the citation curve. Similarly, the prolificity of a researcher may be measured via the $${rec}_{P}$$recP-index, which is the maximum area horizontal rectangle that fits under the citation curve. This leads to the proposal of the two-dimensional bibliometric index $$({rec}_{I}, {rec}_{P})$$(recI,recP), which captures both aspects of a researcher’s output. We present a comprehensive empirical analysis of this two-dimensional index on two datasets: a large set of Google Scholar profiles (representing “typical” researchers) and a small set of Nobel prize winners. Our results demonstrate the potential of this two-dimensional index, since for both data sets there is a statistically significant number of researchers for whom $${rec}_{I}$$recI is greater than $${rec}_{P}$$recP. In particular, for nearly 25% of the Google Scholar researchers and for nearly 60% of the Nobel prize winners, $${rec}_{I}$$recI is greater than $${rec}_{P}$$recP.

Keywords: h-index; rec-index; Bibliometric index; Two-dimensional index; Quantity versus quality; Influential versus prolific (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11192-020-03454-0

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