📈 Research Impact Calculator

Enter your publications and their citation counts to calculate your h-index, i10-index, total citations, and citation distribution. Runs entirely in your browser — no data is sent anywhere.

🔒 All calculations run locally in your browser. No citation data is uploaded or stored. Data source: Copy citation counts from your Google Scholar profile, Scopus author page, or Web of Science.

Publication title (optional) Citations

Citations per publication (sorted high → low). Teal = in h-core · Grey = outside h-core

⚠️ Note: Citation metrics vary by database. Google Scholar typically reports higher counts than Scopus or Web of Science because it indexes preprints, conference papers, and grey literature. Always specify your data source when reporting metrics in a CV or promotion dossier. These calculations are based on the data you entered — always verify against your author profile.

Try next →

📋 Resume / CV Builder 📄 Research Interest Statement

Understanding h-index, i10-index, and citation metrics

The h-index (Hirsch index) is the most widely used single-number measure of research impact. A researcher has an h-index of h if exactly h of their papers have been cited at least h times. A researcher with h=20 has at least 20 papers each cited at least 20 times. The h-index balances productivity (number of papers) with impact (citations per paper) in a single number that is robust to one highly-cited paper inflating the count.

i10-index

The i10-index counts the number of publications with at least 10 citations. It was introduced by Google Scholar and is displayed prominently on Google Scholar author profiles. It is simpler than the h-index — it does not adjust for the number of papers above the threshold — but it is easy to understand and provides a quick count of papers that have attracted meaningful attention.

Limitations and context

Citation metrics have significant limitations. They are highly field-dependent — a physics h-index of 10 means something very different from a biology h-index of 10. Early-career researchers will always have lower metrics than senior researchers regardless of output quality, simply because their papers have had less time to accumulate citations. Self-citations inflate all metrics. For promotion, grant, and job applications, always contextualise your metrics with field norms and career stage, and report which database (Google Scholar, Scopus, or Web of Science) you used, as counts differ significantly between them.