Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
523306 | Journal of Informetrics | 2010 | 6 Pages |
Abstract
In this paper a generalisation of the h-index and g-index is given on the basis of non-negative real-valued functionals defined on subspaces of the vector space generated by the ordered samples. Several Hirsch-type measures are defined and their basic properties are analysed. Empirical properties are illustrated using examples from the micro- and meso-level. Among these measures, the h-index proved the most, the arithmetic and geometric g-indices, the least robust measures. The μ-index and the harmonic g-index provide more balanced results and are still robust enough.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Wolfgang Glänzel, András Schubert,