Temporal Dynamics of Hirsch Index

We performed the analysis of the data from the Scopus database regarding temporal dynamics of h-index and h_s(2015)-index of a group of the continuously and consistently working scientists. We propose a model describing the temporal dynamics of h-index. Temporal dynamics of h_s(2015)-index demonstrates sigmoidal behaviour. The model takes into account: 1) changing the publication activity of the scientist (sigmoidal growth of number of publications at the early stages of scientific career is assumed); 2) the distribution of articles by the number of citations; 3) the dynamics of each specific article citation (typically, the number of citations at first increases and then gradually decreases). The dynamics of the h-index as a function of average productivity (number of articles published per year) is investigated. We used two types of citations distributions, i.e. Lotka distribution and geometric distribution. Both distributions lead to a qualitatively correct temporal dynamics of Hirsch index.

Keywords

h-index; modelling.

References

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