Is the <I>h</I> index related to (standard) bibliometric measures and to the assessments by peers? An investigation of the <I>h</I> index by using molecular life sciences data is a research paper published in Research Evaluation (2008). On theSindex it has a DataRank of 3.1. It has been cited 64 times, with 55 citing works in its 1-hop citation network.
Jorge Hirsch has proposed the h index as a single-number criterion to evaluate the scientific output of a researcher. Using comprehensive data sets of applicants to the long-term fellowship and young investigator programmes of the European Molecular Biology Organization, we determined the relationship between the h index and three (standard) bibliometric indicators (number of publications, total citation counts, and average journal impact factor) as well as peer assessments to test the convergent validity of the h index. The findings indicate that the h index is a valid indicator for research performance at micro and meso levels. Our results suggest that the h index is a promising rough measurement of the quality of a young scientist's work as it is judged by internationally renowned scientists. Copyright , Beech Tree Publishing.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.626
From this paper's citation signal
Citation Network Contribution
2.5
From 48 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 20% comes from its base citations and 80% from the citation network (48 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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