Despite the huge amount of literature on h-index, few papers have been\ndevoted to the statistical analysis of h-index when a probabilistic\ndistribution is assumed for citation counts. The present contribution relies on\nshowing the available inferential techniques, by providing the details for\nproper point and set estimation of the theoretical h-index. Moreover, some\nissues on simultaneous inference - aimed to produce suitable scholar\ncomparisons - are carried out. Finally, the analysis of the citation dataset\nfor the Nobel Laureates (in the last five years) and for the Fields medallists\n(from 2002 onward) is proposed.
Baccini, A., Barabesi, L., Marcheselli, M., Pratelli, L. (2012). Statistical inference on the h-index with an application to top-scientist performance. JOURNAL OF INFORMETRICS, 6, 721-728 [10.1016/j.joi.2012.07.009].
Statistical inference on the h-index with an application to top-scientist performance
BACCINI, ALBERTO;BARABESI, LUCIO;MARCHESELLI, MARZIA;
2012-01-01
Abstract
Despite the huge amount of literature on h-index, few papers have been\ndevoted to the statistical analysis of h-index when a probabilistic\ndistribution is assumed for citation counts. The present contribution relies on\nshowing the available inferential techniques, by providing the details for\nproper point and set estimation of the theoretical h-index. Moreover, some\nissues on simultaneous inference - aimed to produce suitable scholar\ncomparisons - are carried out. Finally, the analysis of the citation dataset\nfor the Nobel Laureates (in the last five years) and for the Fields medallists\n(from 2002 onward) is proposed.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/40538
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