An agent-based model for the bibliometric h-index

Article Article scientifique Article An agent-based model for the bibliometric h-index eng 2013 author Ionescu Georgia Valeria 730628 author Chopard Bastien 22320 426 10.1140/epjb/e2013-40207-0 1434-6028 http://link.springer.com/10.1140/epjb/e2013-40207-0 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. Dewey 025.063 13 Centre universitaire d'informatique 0D3 32 Département d'informatique 18 false 728 Scientific and Parallel Computing The European physical journal. B, Condensed matter physics 86 10 bfe2ef65-4525-4e6f-b70a-f1c5c01fad9f Article (Published version) Public Ionescu2013.pdf 181685 application/pdf openAccess Centres et instituts / Centre universitaire d'informatique Faculté des sciences / Département d'informatique

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An agent-based model for the bibliometric h-index	The European physical journal. B, Condensed matter physics			2013	746	549

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Ionescu, Georgia Valeria