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Big data and false discovery: analyses of bibliometric indicators from large data sets

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References

  • Csajbók, E., Berhidi, A., Vasas, L., & Schubert, A. (2007). Hirsch-index for countries based on essential science indicators data. Scientometrics, 73(1), 91–117.

    Google Scholar 

  • Egghe, L., & Rousseau, R. (2006). An informetric model for the Hirsch index. Scientometrics, 69(1), 121–129.

    Article  Google Scholar 

  • Glänzel, W. (2006). On the h-index—a mathematical approach to a new measure of publication activity and citation impact. Scientometrics, 67(2), 315–321.

    Article  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 USA, 102(46), 16569–16572.

    Article  Google Scholar 

  • Prathap, G. (2010). Is there a place for a mock h-index? Scientometrics, 84, 153–165.

    Article  Google Scholar 

  • Radicchi, F., & Castellano, C. (2013). Analysis of bibliometric indicators for individual scholars in a large data set. Scientometrics, doi:10.1007/s11192-013-1027-3.

  • Schubert, A., & Glänzel, W. (2007). A systematic analysis of Hirsch-type indices for journals. Journal of Informetrics, 1(2), 179–184.

    Article  Google Scholar 

  • Ye, F. Y. (2011). A unification of three models for the h-index. Journal of American Society for Information Science and Technology, 62(1), 205–207.

    Article  Google Scholar 

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Correspondence to Gangan Prathap.

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Prathap, G. Big data and false discovery: analyses of bibliometric indicators from large data sets. Scientometrics 98, 1421–1422 (2014). https://doi.org/10.1007/s11192-013-1063-z

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