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| m-Quotient (Hirsch m)× | hg-Index (Composite Hirsch-Egghe)× | |
|---|---|---|
| Tudományterület | Bibliometria | Bibliometria |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 2005 | 2010 |
| Megalkotó≠ | Jorge E. Hirsch | Sergio Alonso, Francisco J. Cabrerizo, Enrique Herrera-Viedma & Francisco Herrera |
| Típus≠ | Career-length-normalized author impact rate | Composite author impact index |
| Alapmű≠ | Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569-16572. 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 ↗ |
| Alternatív nevek | Hirsch m-quotient, m-parameter, h-index per year | Alonso hg-index, hg index, composite h-g index |
| Kapcsolódó | 3 | 3 |
| Összefoglaló≠ | The m-quotient, defined by Jorge Hirsch in the same 2005 paper that introduced the h-index, normalizes an author's h-index by the length of their scientific career. Because the h-index can only grow over time and never decreases, raw h-values systematically favor senior researchers and make it unfair to compare early-career scientists with established ones. The m-quotient divides the h-index by the number of years since the researcher's first publication, yielding a rate of impact accumulation per year. Hirsch proposed rough benchmarks on this scale, suggesting that a sustained value near 1 characterizes a successful scientist, near 2 an outstanding one, and near 3 a truly exceptional figure, making the m-quotient a tool for comparing researchers at different career stages. | 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. |
| ScholarGateAdatkészlet ↗ |
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