Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| g-Index (Egghe)× | i10-Index× | |
|---|---|---|
| Nyanja | Bibliometriki | Bibliometriki |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2006 | 2011 |
| Mwanzilishi≠ | Leo Egghe | Google Scholar (Google Scholar Citations / My Citations) |
| Aina≠ | Author-level cumulative-citation impact index | Author-level productivity count of well-cited papers |
| Chanzo asilia≠ | Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131-152. 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 ↗ |
| Majina mbadala | Egghe g-index, Egghe index, g index | Google Scholar i10-index, i10 index, ten-citation index |
| Zinazohusiana | 3 | 3 |
| Muhtasari≠ | 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 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. |
| ScholarGateSeti ya data ↗ |
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