Empirical modeling of the impact factor distribution

Michał Brzeziński

Journal of Informetrics, 2014, vol. 8, issue 2, 362-368

Abstract: The distribution of impact factors has been modeled in the recent informetric literature using two-exponent law proposed by Mansilla, Köppen, Cocho, and Miramontes (2007). This paper shows that two distributions widely-used in economics, namely the Dagum and Singh-Maddala models, possess several advantages over the two-exponent model. Compared to the latter, the former models give as good as or slightly better fit to data on impact factors in eight important scientific fields. In contrast to the two-exponent model, both proposed distributions have closed-from probability density functions and cumulative distribution functions, which facilitates fitting these distributions to data and deriving their statistical properties.

Keywords: Impact factor; Two-exponent law; Dagum model; Singh-Maddala model; Maximum likelihood estimation; Model selection (search for similar items in EconPapers)
Date: 2014
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Working Paper: Empirical modeling of the impact factor distribution (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:8:y:2014:i:2:p:362-368

DOI: 10.1016/j.joi.2014.01.009

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