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Characteristic scores and scales based on h-type indices

2009; Elsevier BV; Volume: 4; Issue: 1 Linguagem: Inglês

10.1016/j.joi.2009.06.001

1875-5879

Leo Egghe,

Complex Network Analysis Techniques

Based on the rank-order citation distribution of e.g. a researcher, one can define certain points on this distribution, hereby summarizing the citation performance of this researcher. Previous work of Glänzel and Schubert defined these so-called "characteristic scores and scales" (CSS), based on average citation data of samples of this ranked publication–citation list. In this paper we will define another version of CSS, based on diverse h-type indices such as the h-index, the g-index, the Kosmulski's h(2)-index and the g-variant of it, the g(2)-index. Mathematical properties of these new CSS are proved in a Lotkaian framework. These CSS also provide an improvement of the single h-type indices in the sense that they give h-type index values for different parts of the ranked publication–citation list.