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.
|Titolo:||Statistical inference on the h-index with an application to top-scientist performance|
|Citazione:||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.|
|Appare nelle tipologie:||1.1 Articolo in rivista|