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Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| hg-Index (Composite Hirsch-Egghe)× | i10-Index× | |
|---|---|---|
| Campo | Bibliometria | Bibliometria |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 2010 | 2011 |
| Ideatore≠ | Sergio Alonso, Francisco J. Cabrerizo, Enrique Herrera-Viedma & Francisco Herrera | Google Scholar (Google Scholar Citations / My Citations) |
| Tipo≠ | Composite author impact index | Author-level productivity count of well-cited papers |
| Fonte seminale≠ | 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 ↗ | Cornell University Library. Measuring Your Research Impact: i10-Index. Defines the i10-index as the number of publications with at least 10 citations, created and used by Google Scholar. link ↗ |
| Alias | Alonso hg-index, hg index, composite h-g index | Google Scholar i10-index, i10 index, ten-citation index |
| Correlati | 3 | 3 |
| Sintesi≠ | 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. | The i10-index is a deliberately simple author-level metric introduced by Google Scholar in 2011 for its Scholar Citations profiles. It counts the number of a researcher's publications that have each accumulated at least ten citations. Unlike the h-index, whose threshold depends on the rank of the paper, the i10-index applies a single fixed cutoff, making it transparent and trivial to compute. Its appeal lies in this simplicity and in its native availability on every Google Scholar profile, though it is used almost exclusively within the Google Scholar ecosystem and offers less discriminating power than rank-based indices. |
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