Almost every academic has typed some version of "how do I calculate my h-index" into Google at some point — usually right before a grant deadline, a tenure file, or a job application that asks for it directly. The frustrating part is that most people can define the h-index in one sentence but have never actually sat down and worked out their own.
What You Actually Need
To calculate your h-index by hand, you need exactly one piece of data per paper: how many times it has been cited. You do not need journal names, publication dates, co-author lists, or anything else. That is the whole appeal of the metric — it collapses a messy publication record into one number using nothing but a list of citation counts.
The Calculation, Step by Step
List every paper's citation count, then sort that list from highest to lowest. Starting from the top, count down until the citation count drops below the paper's position in the list. Your h-index is the last position where the citation count was still greater than or equal to the position number.
A concrete example makes this much clearer. Say your five papers have 45, 32, 28, 15, and 3 citations. The first paper (position 1) has 45 citations, well above 1. The second (position 2) has 32, above 2. The third (position 3) has 28, above 3. The fourth (position 4) has 15, above 4. The fifth (position 5) has only 3 citations, which is below 5 — so it doesn't count. Your h-index is 4, because 4 of your papers have at least 4 citations each, and the fifth paper falls short of extending that to 5.
Where People Get It Wrong
The most common mistake is confusing "total citations" with h-index. A single viral paper with 500 citations and four papers with zero citations gives you an h-index of 1, not some reflection of your 500 total citations. The metric deliberately rewards a consistent, broad body of cited work rather than one outlier — which is exactly why committees like it as a sanity check alongside, never instead of, actually reading someone's papers.
The second common mistake is pulling numbers from the wrong source. Google Scholar, Scopus, and Web of Science each index a different, overlapping set of citing sources, so the same researcher will often see three different h-index values depending on which one they check. None of them is "wrong" — they're just counting from different pools, so it matters which one you report and that you stay consistent across documents like a CV or grant file.
Doing the Math Without Doing the Math
Sorting and counting through even 20 or 30 papers by hand is tedious and easy to get slightly wrong, especially under deadline pressure. Know Your Faculty's [free H-Index Calculator](/h-index-calculator) does the sort-and-count for you — paste in your citation counts, and it returns your h-index and i10-index instantly, entirely in your browser. No account, no upload, no data leaving your device.
If you'd rather not recalculate every time your citation counts change, syncing your ORCID iD on your Know Your Faculty profile keeps your publication record — and your h-index — current automatically, so the number is always ready when a form asks for it.