Eur. Phys. J. B (2013) 86: 426
https://doi.org/10.1140/epjb/e2013-40207-0

Regular Article

An agent-based model for the bibliometric h-index

Computer Science Department, University of Geneva, 1211 Genève, Switzerland

^a e-mail: bastien.chopard@unige.ch

Received: 13 March 2013
Received in final form: 2 July 2013
Published online: 9 October 2013

Abstract

We model a virtual scientific community in which authors publish and cite articles. Citations are attributed according to a preferential attachment mechanism. From the numerical simulations, the h-index can be computed. This bottom-up approach reproduces well real bibliometric data. We consider two versions of our model. (1) The single-scientist is controlled by two parameters which can be tuned to reproduce the value of the h-index of many real scientists. Moreover, this model shows how the h-index grows with the number of citations, for a fixed number of articles. We also define an average h-index that can be used to compare the scientific productivity of institutions of different sizes. (2) The multi-scientist model considers a population of scientists and allows us to study the impact of removing citations from the low h-index researchers on the community. Simulations on real bibilometric data, as well as the predictions of the model, show that the h-index eco-system can be strongly affected by such a filtering.