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Mingers, J.; Burrell, Q.L.: Modeling citation behavior in Management Science journals (2006) 0.06

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Date: 26.12.2007 19:22:05
Source: Information processing and management. 42(2006) no.6, S.1451-1464
Year: 2006

Burrell, Q.L.: On Egghe's version of continuous concentration theory (2006) 0.03

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Source: Journal of the American Society for Information Science and Technology. 57(2006) no.10, S.1406-1411
Year: 2006

Burrell, Q.L.: Egghe's construction of Lorenz curves resolved (2007) 0.01
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Abstract

In a recent article (Burrell, 2006), the author pointed out that the version of Lorenz concentration theory presented by Egghe (2005a, 2005b) does not conform to the classical statistical/econometric approach. Rousseau (2007) asserts confusion on our part and a failure to grasp Egghe's construction, even though we simply reported what Egghe stated. Here the author shows that Egghe's construction rather than including the standard case, as claimed by Rousseau, actually leads to the Leimkuhler curve of the dual function, in the sense of Egghe. (Note that here we distinguish between the Lorenz curve, a convex form arising from ranking from smallest to largest, and the Leimkuhler curve, a concave form arising from ranking from largest to smallest. The two presentations are equivalent. See Burrell, 1991, 2005; Rousseau, 2007.)
Burrell, Q.L.: Formulae for the h-index : a lack of robustness in Lotkaian informetrics? (2013) 0.01
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Abstract

In one of the first attempts at providing a mathematical framework for the Hirsch index, Egghe and Rousseau (2006) assumed the standard Lotka model for an author's citation distribution to derive a delightfully simple closed formula for his/her h-index. More recently, the same authors (Egghe & Rousseau, 2012b) have presented a new (implicit) formula based on the so-called shifted Lotka function to allow for the objection that the original model makes no allowance for papers receiving zero citations. Here it is shown, through a small empirical study, that the formulae actually give very similar results whether or not the uncited papers are included. However, and more important, it is found that they both seriously underestimate the true h-index, and we suggest that the reason for this is that this is a context-the citation distribution of an author-in which straightforward Lotkaian informetrics is inappropriate. Indeed, the analysis suggests that even if we restrict attention to the upper tail of the citation distribution, a simple Lotka/Pareto-like model can give misleading results.

Burrell, Q.L.: Predicting future citation behavior (2003) 0.01

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Date: 29. 3.2003 19:22:48

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