The paper pursues the rigorous mathematical study of the Hirsch index and shows that it has power law upper tail distribution
and determines the exponent provided that the underlying publication and citation distributions have fat tails as well. The
result is demonstrated on the distribution of the Hirsch index of journals. The paper is concluded with some further remarks
on the Hirsch index.
Authors:András Schubert, András Korn and András Telcs
Hirsch-type indices are devised for characterizing networks and network elements. Their actual use is demonstrated on scientometric
examples, and the potential value of the concept on a practically unlimited range of networks is suggested.
Authors:Zsolt Tibor Kosztyán, Vivien Valéria Csányi and András Telcs
We present an application preference, list-based framework to Hungarian universities, which allows different type of flexible aggregation, and hence, analysis and clustering of application data. A novel mathematical method is developed by which preference lists can be converted into scored rankings. The proposed approach is demonstrated in the case of Hungary covering the period of 2006–2015. Our method reveals that the efforts to leverage the geographical center–periphery differences did not fulfil the expectations of policy makers. Also, it turns out that a student's top preference is very difficult to influence, while recruiters may build their strategy on the information of the first but one choice.