What is a Good i10-Index? Benchmarks by Field and Career Stage

The i10-index, introduced by Google Scholar in 2011, is the number of your publications with at least 10 citations each. It is deliberately simple: no weighting, no normalisation — just a count. That makes it easy to compute, easy to explain, and easy to misread.

Because it counts breadth of output rather than peak impact, the "right" i10 depends almost entirely on how long you have been publishing and how citation-heavy your field is. This guide gives you the honest ranges.

What the i10-Index Actually Counts

A paper either has 10+ citations or it doesn't. Your i10 is how many of your papers cross that line. A landmark paper with 5,000 citations counts exactly the same as a modest paper with 10 — which is why i10 measures productive breadth, not peak impact.

Google Scholar displays it on every public profile as "i10-index" with two columns: "all" and "since [year]". The five-year variant is often the more informative number — it shows whether your recent work is still being picked up.

i10-Index Benchmarks by Academic Age

These are measured values from our October 2026 OpenAlex author sample (n=63,665) — the first published i10 benchmark by field and career stage. "Academic age" is years since first publication, not job title. One caveat up front: medians cover all publishing researchers, including people who left academia — professor-track profiles sit in the top quartile to decile. Google Scholar counts run higher than OpenAlex (see database differences below).

0–5 years (PhD student stage) — median 0, top 10% ≥3

Most doctoral candidates have an i10 of 0–1. Papers published during a PhD rarely reach 10 citations before graduation — accumulation takes years. An i10 of 3 or more at this stage puts you in the top decile: early high-visibility work or co-authorship on a well-cited paper.

6–10 years (early career) — median 1, top 10% ≥7

Postdoc years are when the i10 starts moving — papers from the PhD cross the 10-citation line while new work adds up. Half of all publishing researchers still sit at 0–4; an i10 of 7+ marks the top decile.

11–20 years (mid-career) — median 2, top 10% ≥14

This is the stage where i10 becomes a hiring-committee shorthand. The population median stays at 2 because most publishing researchers are not professors — tenure-track candidates typically sit in the top decile (≥14 across all fields; ≥16 in medicine).

21+ years (senior) — median 2, top 10% ≥30

Sustained output compounds. The top decile reaches i10 ≥30 across all fields — ≥39 in medicine & biology, ≥57 in physics — while the humanities ceiling sits at ≥4. Senior researchers in biomedicine or physics regularly exceed 100 on Google Scholar; on OpenAlex the same profiles land lower because Scholar indexes more source types.

i10-Index Benchmarks by Field

Field differences are even larger than career-stage differences. Measured values for senior researchers (21+ years since first publication, OpenAlex sample, Oct 2026):

The same measured cells power the i10-Index Calculator — select your field there to see where your number lands. Full percentile detail (p10–p90, all 26 OpenAlex fields, CSV download) is in OpenAlex Benchmarks 2026.

Which Database You Measure Matters

The i10-index is a Google Scholar invention, but you can compute the same count from any citation source — the number will differ:

• Google Scholar: the widest net — journal papers, conference proceedings, preprints, theses, book chapters. Highest i10 values.
• Scopus: peer-reviewed journals only. Your Scopus i10 typically runs below Scholar’s — conference papers, preprints and theses are excluded.
• Web of Science: the most selective index. Lowest i10 values.

When comparing yourself to a benchmark, use the same source the benchmark was built from. The measured values on this page are OpenAlex counts — if you paste numbers from Google Scholar (which indexes theses, preprints, books and grey literature on top), your value will typically read higher than the same researcher's OpenAlex i10.

i10 vs H-Index: What Each One Misses

The two metrics answer different questions. The h-index rewards sustained impact: a paper with 500 citations pulls your h up hard. The i10-index treats that same paper identically to one with 10 citations — it only sees breadth.

• High h, low i10: a few blockbuster papers, thin middle layer
• Moderate h, high i10: broad, consistent output without a headline paper
• Both high: sustained impact across a large body of work

For the h-index side of the picture, see What is a Good H-Index? → and the sourced percentile dataset in H-Index Benchmarks 2026 →.

Limitations You Should Know

• Arbitrary threshold. Nothing special happens at citation 10 — a paper at 9 citations contributes nothing, one at 11 counts fully.
• No decay. i10 never decreases; it rewards longevity as much as current relevance.
• Co-authorship blind. The 40th author on a consortium paper gets the same +1 as the first author.
• Scholar-specific. Most hiring committees know the metric through Google Scholar — it is used informally, rarely as a formal criterion.

How to Grow Your i10-Index

Since only the 10-citation line matters, the fastest lever is moving papers sitting at 7–9 citations over the threshold:

1. Audit your near-threshold papers. Papers at 7–9 citations are the cheapest +1s — share them, cite them in new work, add them to your Scholar profile.
2. Keep your Google Scholar profile clean. Merge duplicates, claim missing papers, remove misattributed ones.
3. Publish where your field reads. In CS, top conferences count on Scholar; in other fields, journal prestige drives citations.
4. Write review articles. Reviews accumulate citations 3–5x faster than primary research — each one is a likely future +1.
5. Make outputs open access. Open-access papers receive measurably more citations on average.

Frequently Asked Questions