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This guide © 2024 by UCL - Library Skills is licensed under CC BY-NC-SA 4.0
The h-index is a relatively simple and straightforward indicator, which is calculated so that a researcher who has at least h papers that each have at least h citations has an h-index of value h. It intentionally ignores the total number of papers or total number of citations, so a very long tail of uncited papers will have no effect, and neither will a single exceptionally highly cited paper.
The value of a "normal" h-index varies significantly between fields, since it is based on the number of papers published, but in most fields 50+ would indicate a well-established senior researcher - they have at least fifty papers with at least fifty citations apiece. H-indices above about 70 are generally uncommon.
The h-index has become popular due to the simplicity of its calculation and its percieved "neutrality", but in practice it has a number of significant issues.
We strongly recommend that you avoid using the h-index to directly assess individual researchers.
For any kind of internal assessment at UCL, this is one of the explicit requirements of the bibliometrics policy:
(6.) Avoid applying metrics to individual researchers, particularly metrics which do not account for individual variation or circumstances. For example, the h-index should not be used to directly compare individuals, because the number of papers and citations differs dramatically among fields and at different points in a career.
The h-index should also not be used for analysing larger groups, such as a department or an institution - when applied to larger groups of people, it tends simply to reflect the total number of papers published, and does not tell us anything informative.
Various alternative types of the h-index are regularly proposed, to address particular issues with the original indicator, but these often suffer from the same fundamental problems. None of them are widely accepted and we would not recommend them.
Ultimately, directly comparing the publication record of researchers is complicated and nuanced. It cannot and should not be reduced to a single numeric indicator.