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h-index Calculator: h-index, i10, g-index, e-index and m-quotient from Citation Counts

Paste per-paper citation counts to get a researcher’s h-index, i10-index, g-index, e-index, total and median citations, h-core share and Hirsch’s m-quotient, plus the citations needed to reach the next h or a target h, a ranked table and a Hirsch plot.

Citation counts per paper (comma or space separated, any order)
Years since first publication
Target h-index (0 = next one up)
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How it works

h = largest h such that h papers have ≥ h citations each · i10 = papers with ≥ 10 citations · g = largest g such that the top g papers have ≥ g² citations in total · e = √(citations in the h-core − h²) · m-quotient = h ÷ years since first paper · Citations to reach h = t: Σ max(0, t − cᵢ) over the top t papers

The h-index, proposed by physicist Jorge Hirsch in 2005, combines productivity and impact in one number: a researcher has index h if h of their papers have each been cited at least h times. Sort the citation counts from high to low and find the last rank where the count is still at least the rank. One blockbuster paper cannot inflate it, and neither can many uncited papers. The i10-index, shown on Google Scholar profiles, simply counts papers with ten or more citations. Leo Egghe’s g-index gives credit for very highly cited work: it is the largest g for which the top g papers together have at least g² citations, so it is always at least h. Zhang’s e-index measures the citations in the h-core beyond the h² needed to qualify, which separates two people with the same h. Hirsch’s m-quotient divides h by career length: he suggested that after 20 years an h of about 20 (m ≈ 1) marks a successful scientist, 40 (m ≈ 2) an outstanding one and 60 (m ≈ 3) a truly unique one. All of these depend on the database (Google Scholar runs higher than Scopus or Web of Science), the field, co-authorship and self-citation, so use them as one input among many.

Worked example

A researcher with 25 papers, sorted 145, 98, 67, 51, 44, 39, 31, 28, 22, 19, 17, 15, 12, 11, 9, … The 12th paper has 15 citations (≥ 12) but the 13th has 12 (< 13), so h = 12. Fourteen papers have 10 or more citations, so i10 = 14. All 25 papers together hold 638 citations, at least 25² = 625, so g = 25. The top 12 papers hold 576 citations, so e = √(576 − 144) = 20.78. Over 12 years the m-quotient is 12 ÷ 12 = 1.00. To reach h = 13, papers 12 and 13 need 0 and 1 more citation, so just 1 citation spread over 1 paper.

Sources: Wikipedia: h-index (definition, Hirsch’s benchmarks, field values, criticisms) · Harzing, Publish or Perish: definitions of h, g, e, hc, hI and AWCR · Google Scholar Metrics: h-index and h5-index definitions

Frequently asked questions

How do I calculate my h-index by hand?

List your papers by citation count, highest first, and number them. Your h-index is the last rank where the citation count is still at least the rank number. With counts 10, 8, 5, 4, 3 the 4th paper has 4 citations and the 5th has 3, so h = 4.

What is a good h-index?

It depends heavily on field and career stage. Hirsch suggested about 12 for tenure and 18 for full professor in physics at major US universities, and 45 or more for the National Academy of Sciences. Medians in law, political science and sociology are far lower. Compare only within a field.

Why is my h-index different on Google Scholar and Scopus?

Google Scholar indexes more sources, including books, theses and preprints, so its counts are usually higher. Scopus and Web of Science cover a curated list of journals and can exclude self-citations.

What is the difference between the h-index and the i10-index?

The h-index balances the number of papers against their citations. The i10-index is just the number of papers with at least 10 citations, so it grows faster and keeps rising for prolific authors whose h has levelled off.

Does self-citation count?

In raw database counts, yes. Scopus and Web of Science can exclude self-citations, which typically lowers h by a few points for established researchers.

Can the h-index go down?

Not in a given database, because citations only accumulate. It can differ between databases or drop if a database removes duplicate or retracted records.

Related calculators

Metrics depend on the citation database and field norms; use them as one input among many when evaluating research.