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Bibliometrics and citation analysis: Variants (m-, g-, e-indices)

G-index

The g-index, proposed by Leo Egghe in 2006 aims to overcome a bias against highly cited papers inherent in the h-index. The g-index is the "highest number of papers of a scientist that received g or more citations, on average". It gives credit to researchers who have published landmark papers.

M-index

The m-index, also proposed by Hirsch, is defined as h-index divided by the number of years since the researcher’s first publication.  The index is meant to normalize the h-index so that early- and late-stage scientists can be compared.  The m-index averages periods of high and low productivity throughout a career, which may or may not be reflective of the current situation of the scientist.

E-index

The e-index aims to address the number of “excess” citations above and beyond the h-index.  The e-index is defined as the square root of the sum of the “excess” citations in the papers that contributed to the h-index.

Source: Benchfly weblog, 20 Oct 2010