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On the influence of uncited publications on a researcher’s h-index

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Abstract

A researcher’s output comprises cited and uncited papers. Nevertheless, the conventional h-index considers only the cited papers; and, in particular, awards a score to the so-called high-impact papers. Consequently, the h-index fails to assess the overall performance of a researcher. The purpose of this paper is to propose an author-level metric, called an apparent h-index, that augments the h-index with the number of cited/uncited papers of a researcher. The apparent h-index (hA-index) is defined as the product of the h-index and the fraction of cited papers of a researcher. Thus, the more the uncited papers of a researcher, the less the fraction of the cited papers; and, hence, the low the hA-index. In consequence, as opposed to the h-index, the hA-index can increase or decrease depending on the future performance output of a researcher. If a researcher has all his/her publications cited, the hA-index equals the h-index; and the researcher “saves” his/her h-index. However, if at least one of the publications of a researcher is uncited, the hA-index becomes lower than the h-index. This means that the hA-index takes uncited papers into consideration by way of penalization. Case studies for Physicists and Petroleum Engineers have been presented; and the results show that a researcher with a higher h-index, but with a lot of uncited papers may have a lower apparent h-index than a researcher with a lower h-index but very few uncited papers. The proposed hA-index will ensure that researchers are wary of what they “throw” in the literature.

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References

  • Alonso, S., Cabrerizo, F., Herrera-Viedma, E., & Herrera, F. (2010). hg-index: A new index to characterize the scientific output of researchers based on the h- and g-indices. Scientometrics,82, 391–400.

    Article  Google Scholar 

  • Anderson, T. R., Robin, K. S., Hankin, R. B. S., & Killworth, P. (2008). Beyond the Durfee square: Enhancing the h-index to score total publication output. Scientometrics,76, 577–588.

    Article  Google Scholar 

  • Bai, X., Zhang, F., & Lee, I. (2019). Predicting the citations of scholarly paper. Journal of Informetrics,13, 407–418.

    Article  Google Scholar 

  • Barnes, C. (2017). The h-index debate: An introduction for librarians. The Journal of Academic Librarianship,43, 487–494.

    Article  Google Scholar 

  • Bornmann, L., Mutza, R., & Daniel, H. (2010). The h index research output measurement: Two approaches to enhance its accuracy. Journal of Informetrics,4, 407–414.

    Article  Google Scholar 

  • Bornmann, L., Scheir, H., Marx, W., & Daniel, H. (2012). What factors determine citation counts of publications in chemistry besides their quality? Journal of Informetrics,6, 11–18.

    Article  Google Scholar 

  • Cao, X., Chen, Y., & Liu, K. J. R. (2016). A data analytic approach to quantifying scientific impact. Journal of Informetrics,10, 471–484.

    Article  Google Scholar 

  • Costas, R., & Bordons, M. (2007). The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level. Journal of Informetrics,1, 193–203.

    Article  Google Scholar 

  • Costas, R., & Bordons, M. (2008). Is the g-index better than h-index? An exploratory study at the individual level. Scientometrics,77, 267–288.

    Article  Google Scholar 

  • Egghe, L. (2006a). An improvement of the h-index. ISSI Newsletter,2, 8–9.

    MATH  Google Scholar 

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

    Article  Google Scholar 

  • Egghe, L. (2010). The Hirsch index and related impact measures. Annual Review of Information Science and Technology,44, 65–144.

    Article  Google Scholar 

  • Egghe, L., Guns, R., & Rousseau, R. (2011). Thoughts on uncitedness: Nobel laureates and fields medalists as case studies. Journal of the American Society for Information Science and Technology,62(8), 1637–1644.

    Article  Google Scholar 

  • Garcia-Perez, M. A. (2013). Limited validity of equations to predict the future h index. Scientometrics,96, 901–909.

    Article  Google Scholar 

  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of National Academy of Sciences,102, 16569–16572.

    Article  Google Scholar 

  • Hirsch, J. E., & Buela-Casalb, G. (2014). The meaning of the h-index. International Journal of Clinical and Health Psycholog,14, 161–164.

    Article  Google Scholar 

  • Ho, Y., & Hartley, J. (2016). Sleeping beauty in psychology. Scientometrics,110(1), 301–305.

    Article  Google Scholar 

  • Hsu, J., & Huang, D. (2011). A scaling between impact factor and uncitedness. Physica A,391, 2129–2134.

    Article  Google Scholar 

  • Jin, B. (2006). The AR-index: Complementing the h-index. ISSI Newsletter,3, 6.

    Google Scholar 

  • Jin, B., Liang, L., Rousseau, R., & Egghe, L. (2007). The R- and AR-indices: Complementing the h-index. Chinese Science Bulletin,52, 855–863.

    Google Scholar 

  • Kamat, B. (2018). Most cited versus uncited papers. What do they tell us? ACS Energy Letters,3, 2134–2135.

    Article  Google Scholar 

  • Leydesdorff, L. (2008). Caveats for the use of citation indicators in research and journal evaluations. Journal of the American Society for Information Science and Technology,59, 278–287.

    Article  Google Scholar 

  • Nicolaison, J., & Frandsen, T. F. (2019). Zero impact: A large-scale study of uncitedness. Scientometrics,119, 1227–1254.

    Article  Google Scholar 

  • Penner, O., Peterson, A. M., Pan, R. K., & Fortunato, S. (2013). Commentary: The case for caution in predicting scientists’ future impact. Physics Today,66, 8–9.

    Article  Google Scholar 

  • Prathap, G. (2018). Dimensionless citation indicators. Scientometrics,115, 1433–1435.

    Article  Google Scholar 

  • Racchidi, F., & Castellano, C. (2012). A reverse engineering approach to the suppression of citation biases reveals universal properties of citation distributions. PLoS ONE,7(3), e33833.

    Article  Google Scholar 

  • Rousseau, R. (2006). New developments related to the Hirsch index. In Berlin 4th international conference on webometrics, informetrics and scientometrics and 9th COLLNET meeting (pp. 23–25). Berlin: Science Focus.

  • Rousseau, R., & Leuven, K. U. (2008). Reflections on recent developments of the h-index and h-type indices. In 4th international conference on webometrics, informetrics and scientometrics and 9th COLLNET meeting (pp. 1–9). Berlin: WIS.

  • Schreiber, M. (2013a). How relevant is the predictive power of the h-index? A Case study of the time-dependent Hirsch index. Journal of Informetrics,7, 325–329.

    Article  Google Scholar 

  • Schreiber, M. (2013b). A case study of the arbitrariness of the h-index and the highly cited publications indicator. Journal of Informetrics,7, 379–387.

    Article  Google Scholar 

  • Sidoropoulos, A. K. (2007). Generalized h-index for disclosing latent facts in citation networks. Scientometrics,72, 253–280.

    Article  Google Scholar 

  • Visscher, A. D. (2011). What does the g-index really measure? Journal of the American Society for Information Science and Technology,62(11), 2290–2293.

    Article  Google Scholar 

  • Ye, F. Y., & Rousseau, R. (2009). Probing the h-core: An investigation of the tail–core ratio for rank distributions. Scientometrics, 84, 431–439.

    Article  Google Scholar 

  • Zhang, C. T. (2009). The e-index, complementing the h-index for excess citations. PLoS ONE,4, 1–4.

    Article  Google Scholar 

  • Zhang, C. T. (2013). The h’-index, effectively improving the h-index based on the citation distribution. PLoS ONE,8(4), 1–8.

    Google Scholar 

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Acknowledgements

The University of Energy and Natural Resources, Sunyani, Ghana, provided the facility for this research. This is gratefully acknowledged.

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Correspondence to Shaibu Mohammed.

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Mohammed, S., Morgan, A. & Nyantakyi, E. On the influence of uncited publications on a researcher’s h-index. Scientometrics 122, 1791–1799 (2020). https://doi.org/10.1007/s11192-020-03356-1

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