
arXiv: 2003.08991
A model of scientific citation distribution is given. We apply it to understand the role of the Hirsch index as an indicator of scientific publication importance in Mathematics and some related fields. The proposed model is based on a generalization of such well-known distributions as geometric and Sibuya laws. Real data analysis of the Hirsch index and corresponding citation numbers is given.
FOS: Computer and information sciences, Sibuya distribution, Probability (math.PR), Statistics - Applications, geometric distribution, 60E05, 62P25, 60E99, QA1-939, FOS: Mathematics, Hirsch index, Applications (stat.AP), citation distribution, Mathematics, Mathematics - Probability
FOS: Computer and information sciences, Sibuya distribution, Probability (math.PR), Statistics - Applications, geometric distribution, 60E05, 62P25, 60E99, QA1-939, FOS: Mathematics, Hirsch index, Applications (stat.AP), citation distribution, Mathematics, Mathematics - Probability
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
