Understanding Citations and Research Impact

Citation counts, the h-index, and altmetrics all try to measure impact — imperfectly. A plain-language guide to what these metrics mean, what they miss, and how to build genuine impact.

What impact metrics try to capture

Research impact is how much your work influences other work and the wider world. Because that is hard to measure directly, the field uses proxies — and it helps to know what each one actually says.

The common metrics

Citation count — how many times a work has been cited. Simple, but slow to accrue and field-dependent (a maths paper and a biology paper are not comparable).
h-index — you have an h-index of *N* if *N* of your works each have at least *N* citations. It rewards sustained output but penalises early-career researchers and ignores a single landmark paper.
Journal-level metrics — measure the venue, not your article; a high-impact journal does not make every paper in it high-impact.
Altmetrics — attention in news, policy, and social media; broader but noisier.

What they all miss

Metrics count attention, not quality or correctness. They are gamed, biased toward English-language and well-networked authors, and blind to datasets, software, and teaching.

Building real impact

Make your work easy to find, reuse, and cite: publish openly, share your data with a DOI, keep an ORCID profile, and describe everything well. Impact follows visibility and reusability more reliably than it follows any single number.