Name
Title | ||
|---|---|---|
A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants |
Abstract | ||
|---|---|---|
This paper presents the first meta-analysis of studies that computed correlations between the h index and variants of the h index (such as the g index; in total 37 different variants) that have been proposed and discussed in the literature. A high correlation between the h index and its variants would indicate that the h index variants hardly provide added information to the h index. This meta-analysis included 135 correlation coefficients from 32 studies. The studies were based on a total sample size of N=9005; on average, each study had a sample size of n=257. The results of a three-level cross-classified mixed-effects meta-analysis show a high correlation between the h index and its variants: Depending on the model, the mean correlation coefficient varies between .8 and .9. This means that there is redundancy between most of the h index variants and the h index. There is a statistically significant study-to-study variation of the correlation coefficients in the information they yield. The lowest correlation coefficients with the h index are found for the h index variants MII and m index. Hence, these h index variants make a non-redundant contribution to the h index. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.joi.2011.01.006 | Journal of Informetrics |
Keywords | Field | DocType |
h index,h index variants,Meta-analysis,Multilevel analysis | Correlation coefficient,Computer science,Correlation,Meta-analysis,g-index,Statistics,Sample size determination | Journal |
Volume | Issue | ISSN |
5 | 3 | 1751-1577 |
Citations | PageRank | References |
78 | 2.59 | 40 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| lutz bornmann | 1 | 3124 | 279.75 |
| Ruediger Mutz | 2 | 666 | 39.58 |
| Sven E. Hug | 3 | 103 | 5.43 |
| Hans-Dieter Daniel | 4 | 1338 | 138.60 |