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A two-dimensional bibliometric index reflecting both quality and quantity

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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 \({rec}_{I}\)-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 \({rec}_{P}\)-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 \(({rec}_{I}, {rec}_{P})\), 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 \({rec}_{I}\) is greater than \({rec}_{P}\). In particular, for nearly 25% of the Google Scholar researchers and for nearly 60% of the Nobel prize winners, \({rec}_{I}\) is greater than \({rec}_{P}\).

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References

  • Andersen, J. P., & Haustein S. (2015). Bootstrapping to evaluate accuracy of citation-based journal indicators. In Proceedings of the 15th international society of scientometrics and informetrics conference (pp. 413–414). Istanbul, Turkey.

  • Bornmann, L., & Daniel, H.-D. (2007). What do we know about the h index? Journal of the American Society for Information Science and Technology, 58, 1381–1385.

    Article  Google Scholar 

  • Bar-Ilan, J. (2008). Which h-index? A comparison of WoS, Scopus and Google Scholar. Scientometrics, 74, 257–271.

    Article  Google Scholar 

  • Bar-Ilan, J. (2018). The Journal of Altmetrics is launched—Editorial. Journal of Altmetrics,. https://doi.org/10.29024/joa.5.

    Article  Google Scholar 

  • Bar-Ilan, J., & Levene, M. (2015). The hw-rank: an h-index variant for ranking web pages. Scientometrics, 102, 2247–2253.

    Article  Google Scholar 

  • Clarivate Analytics. (2018). Web of science. www.webofknowledge.com.

  • Davison, A. C., & Hinkley, D. V. (1997). Bootstrap methods and their applications. Cambridge series in statistical and probabilistic mathematics. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69, 131–152.

    Article  Google Scholar 

  • Fenner, T., Harris, M., Levene, M., & Bar-Ilan, J. (2018). A novel bibliometric index with a simple geometric interpretation. PLoS ONE, 13(7), e0200098.

    Article  Google Scholar 

  • Hausken, K. (2016). The ranking of researchers by publications and citations: Using RePEc data. Journal of Economics Bibliography, 3, 530–558.

    Google Scholar 

  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 98, 16569–16572.

    Article  Google Scholar 

  • Levene, M., Fenner, T., & Bar-Ilan, J. (2019). Characterisation of the \(\chi\)-index and the \(rec\)-index. Scientometrics, 120, 885–896.

    Article  Google Scholar 

  • Piwowar, H. (2013). Altmetrics: Value all research products. Nature, 493, 159.

    Article  Google Scholar 

  • Radicchi, F., & Castellano, C. (2013). Analysis of bibliometric indicators for individual scholars in a large data set. Scientometrics, 97, 627–637.

    Article  Google Scholar 

  • Rousseau, R., Egghe, L., & Guns, R. (2018). Becoming metric-wise: A bibliometric guide for researchers. Chandos information professional series. Cambridge, MA: Chandos Publishing.

    Google Scholar 

  • Rosner, B. (2011). Fundamentals of biostatistics (7th ed.). Boston, MA: Brooks/Cole, Cengage Learning.

    Google Scholar 

  • Sahel, J.-A. (2011). Quality versus quantity: Assessing individual research performance. Science Translational Medicine, 3, 84cm13.

    Article  Google Scholar 

  • Todeschini, R., & Baccini, A. (2016). Handbook of bibliometric indicators: Quantitative tools for studying and evaluating research. Weinheim: Wiley-VCH.

    Book  Google Scholar 

  • van Eck, N. J., & Waltman, L. (2008). Generalizing the h- and g-indices. Journal of Informetrics, 2, 263–271.

    Article  Google Scholar 

  • Woeginger, G. J. (2008). A symmetry axiom for scientific impact indices. Journal of Informetrics, 2, 298–303.

    Article  Google Scholar 

  • Wildgaard, L., Schneider, J. W., & Larsen, B. (2014). A review of the characteristics of 108 author-level bibliometric indicators. Scientometrics, 101, 125–158.

    Article  Google Scholar 

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Correspondence to Mark Levene.

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This paper is dedicated to the memory of Judit Bar-Ilan (1958–2019), an outstanding scholar and an inimitable friend and colleague.

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Levene, M., Harris, M. & Fenner, T. A two-dimensional bibliometric index reflecting both quality and quantity. Scientometrics 123, 1235–1246 (2020). https://doi.org/10.1007/s11192-020-03454-0

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  • DOI: https://doi.org/10.1007/s11192-020-03454-0

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