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Conference object . 2011
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The Hirsch-index of set partitions

Authors: Egghe, Leo;

The Hirsch-index of set partitions

Abstract

The Hirsch-index (h-index) is calculated on citations that papers (e.g. authors or journals) receive. Hence we can consider the h-index as calculated on a partition of the same set of citations. In this paper we will study the h-index, dependent on the particular partition of this set. We will do this in the discrete case as well as in a continuous Lotkaian setting. In the discrete setting we will determine h-indices of successive refinementsof partitions. We show that the corresponding h-indices do not form a monotonic sequence and we determine the maximal value of a h-index in such a system. In the continuous Lotkaian setting we prove that, given a set of citations of cardinality A, the h-index only depends on the average number of citations that an author or a journal receives. This functional dependence is calculated and we show that it has a unique maximum for which formulae are given. This is the highest possible h-index given a set of citations of fixed cardinality. Examples confirm the theory.

Country
Belgium
Related Organizations
Keywords

partition; Hirsch-index; h-index; average

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green