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Comparison of the h-index for different fields of research using bootstrap methodology

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  • C. Malesios
  • S. Psarakis

Abstract

An important disadvantage of the h-index is that typically it cannot take into account the specific field of research of a researcher. Usually sample point estimates of the average and median h-index values for the various fields are reported that are highly variable and dependent of the specific samples and it would be useful to provide confidence intervals of prediction accuracy. In this paper we apply the non-parametric bootstrap technique for constructing confidence intervals for the h-index for different fields of research. In this way no specific assumptions about the distribution of the empirical h-index are required as well as no large samples since that the methodology is based on resampling from the initial sample. The results of the analysis showed important differences between the various fields. The performance of the bootstrap intervals for the mean and median h-index for most fields seems to be rather satisfactory as revealed by the performed simulation. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • C. Malesios & S. Psarakis, 2014. "Comparison of the h-index for different fields of research using bootstrap methodology," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 521-545, January.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:1:p:521-545
    DOI: 10.1007/s11135-012-9785-1
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    References listed on IDEAS

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    1. Igor Podlubny, 2005. "Comparison of scientific impact expressed by the number of citations in different fields of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(1), pages 95-99, July.
    2. Aggelos Bletsas & John N. Sahalos, 2009. "Hirsch index rankings require scaling and higher moment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(12), pages 2577-2586, December.
    3. Schubert, András & Glänzel, Wolfgang, 2007. "A systematic analysis of Hirsch-type indices for journals," Journal of Informetrics, Elsevier, vol. 1(3), pages 179-184.
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