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| g-Index (Egghe)× | hg-Index (Composite Hirsch-Egghe)× | |
|---|---|---|
| Fachgebiet | Bibliometrie | Bibliometrie |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 2006 | 2010 |
| Urheber≠ | Leo Egghe | Sergio Alonso, Francisco J. Cabrerizo, Enrique Herrera-Viedma & Francisco Herrera |
| Typ≠ | Author-level cumulative-citation impact index | Composite author impact index |
| Wegweisende Quelle≠ | Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152. DOI ↗ | Alonso, S., Cabrerizo, F. J., Herrera-Viedma, E., & Herrera, F. (2010). hg-index: a new index to characterize the scientific output of researchers based on the h- and g-indices. Scientometrics, 82(2), 391-400. DOI ↗ |
| Aliasnamen | Egghe g-index, Egghe index, g index | Alonso hg-index, hg index, composite h-g index |
| Verwandt | 3 | 3 |
| Zusammenfassung≠ | The g-index, introduced by Leo Egghe in 2006, is an author-level bibliometric indicator designed to repair a structural weakness of Hirsch's h-index: its insensitivity to the size of the most-cited papers. Where the h-index caps the credit any single paper can earn at h, the g-index lets exceptionally cited articles raise an author's score. It is defined as the largest number g such that the g most-cited papers together accumulate at least g-squared citations. Because it rests on cumulative rather than per-paper citation counts, the g-index always equals or exceeds the h-index and rewards researchers whose impact is concentrated in a few landmark works as well as those with broad, steady output. | The hg-index, proposed by Alonso, Cabrerizo, Herrera-Viedma, and Herrera in 2010, fuses the two best-known author metrics into a single composite. The h-index is robust but ignores how heavily an author's top papers are cited, while Egghe's g-index rewards those highly cited papers but can be swayed by a single outlier. The hg-index takes the geometric mean of the two, producing a value that lies between them and inherits a balance of their strengths: it remains close to the stable h-index while still responding to the citation impact captured by g. The authors showed that the geometric mean stays nearer to the smaller, more conservative h-index than the larger g-index, tempering the latter's sensitivity to extreme papers. |
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