Artículo

Coping with the Inequity and Inefficiency of the H-Index: A Cross-Disciplinary Empirical Analysis

Resumen

This paper measures two main inefficiency features (many publications other than articles; many co-authors’ reciprocal citations) and two main inequity features (more co-authors in some disciplines; more citations for authors with more experience). It constructs a representative dataset based on a cross-disciplinary balanced sample (10,000 authors with at least one publication indexed in Scopus from 2006 to 2015). It estimates to what extent four additional improvements of the H-index as top-down regulations (∆Hh = Hh − Hh+1 from H1 = based on publications to H5 = net per-capita per-year based on articles) account for inefficiency and inequity across twenty-five disciplines and four subjects. Linear regressions and ANOVA results show that the single improvements of the H-index considerably and decreasingly explain the inefficiency and inequity features but make these vaguely comparable across disciplines and subjects, while the overall improvement of the H-index (H1–H5) marginally explains these features but make disciplines and subjects clearly comparable, to a greater extent across subjects than disciplines. Fitting a Gamma distribution to H5 for each discipline and subject by maximum likelihood shows that the estimated probability densities and the percentages of authors characterised by H5 ≥ 1 to H5 ≥ 3 are different across disciplines but similar across subjects.
Bian, Jinhu (43561035200); Zhao, Jinping (59501798600); Li, Ainong (14519510100)
Remote sensing monitoring of mountain sustainable development goals (SDG15.4): a systematic review
2025
10.1080/17538947.2024.2448216
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214201301&doi=10.1080%2f17538947.2024.2448216&partnerID=40&md5=2c670cf16564de87238b2feaebb01c1e
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China; University of Chinese Academy of Sciences, Beijing, China; Wanglang Mountain Remote Sensing Observation and Research Station of Sichuan Province, Mianyang, China
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio