Statistical inference on the h-index with an application to top-scientist performance
Applications
2014-07-29 v1 Digital Libraries
Physics and Society
Abstract
Despite the huge amount of literature on h-index, few papers have been devoted to the statistical analysis of h-index when a probabilistic distribution is assumed for citation counts. The present contribution relies on showing the available inferential techniques, by providing the details for proper point and set estimation of the theoretical h-index. Moreover, some issues on simultaneous inference - aimed to produce suitable scholar comparisons - are carried out. Finally, the analysis of the citation dataset for the Nobel Laureates (in the last five years) and for the Fields medallists (from 2002 onward) is proposed.
Cite
@article{arxiv.1205.4418,
title = {Statistical inference on the h-index with an application to top-scientist performance},
author = {Alberto Baccini and Lucio Barabesi and Marzia Marcheselli and Luca Pratelli},
journal= {arXiv preprint arXiv:1205.4418},
year = {2014}
}
Comments
14 pages, 3 tables