The h-index is the most-quoted personal metric in academia — but the "what counts as good" answer depends entirely on field, career stage, and which database you check. This 2026 guide gives field-by-field benchmarks across five career stages, explains why your Google Scholar h-index can be 40% higher than your Scopus h-index, covers gaming risks and the m-quotient correction, and gives a concrete playbook for accelerating growth.
What Is the h-index?
The h-index measures both productivity and citation impact in a single number. Proposed by physicist Jorge Hirsch in 2005, it is defined as:
A researcher has an h-index of h if h of their papers have each been cited at least h times.
Example: you have 20 papers; 10 of them have each been cited at least 10 times → your h-index is 10. A single highly-cited paper (say, 500 citations) does not push your h-index past the threshold set by your less-cited papers.
The elegance: it rewards both quantity (publishing many papers) and quality (generating citations), and resists distortion from a single viral paper that would inflate raw citation count.
What Is a Good h-index? Field-by-Field Benchmarks
"Good" h-index is entirely relative to your field and career stage. Citation density differs enormously between disciplines: a biologist and a mathematician with equivalent research impact will have very different h-indexes because citation rates in those fields differ.
2026 h-index benchmarks across career stages
| Field | PhD finishing | Postdoc / Asst Prof | Mid-career | Full Prof | Distinguished |
|---|---|---|---|---|---|
| Medicine / Clinical | 2-5 | 8-15 | 20-35 | 40-60 | 70+ |
| Biomedical / Life Sciences | 2-5 | 8-15 | 20-35 | 35-55 | 60+ |
| Chemistry | 2-4 | 7-14 | 18-30 | 30-50 | 55+ |
| Physics | 1-4 | 5-12 | 12-25 | 25-40 | 45+ |
| Engineering | 1-3 | 5-10 | 10-20 | 20-35 | 40+ |
| Computer Science | 1-4 | 5-12 | 12-25 | 25-40 | 45+ |
| Economics / Business | 1-3 | 3-8 | 10-20 | 20-35 | 40+ |
| Psychology / Social Sciences | 1-3 | 4-10 | 12-22 | 22-35 | 40+ |
| Mathematics | 1-2 | 3-6 | 8-15 | 15-25 | 30+ |
| Humanities | 0-2 | 2-5 | 5-12 | 12-20 | 25+ |
Benchmarks reflect Scopus h-index. Google Scholar h-index typically runs 30-60% higher because of broader coverage. WoS h-index typically runs 10-20% lower than Scopus because of narrower indexing.
Do not compare h-index across fields. A mathematician with h=15 has done equivalent or greater work than a biomedical scientist with h=30. Always compare within your own discipline and peer group.
Why Your Google Scholar h-index Differs from Scopus and WoS
The same researcher can have three quite different h-indexes depending on which database calculates it. Typical gap:
| Database | Coverage | Typical h-index value |
|---|---|---|
| Google Scholar | Broadest — journals, preprints, theses, conference papers, grey literature | Highest (baseline) |
| Scopus | Curated journals + selected conferences (~28k journals) | ~60-75% of Scholar |
| Web of Science | Most-curated journals (~22k) | ~50-65% of Scholar |
| Dimensions / Lens.org | Crossref + grant data; broad coverage | ~70-85% of Scholar |
For tenure cases, most committees specify Scopus or WoS h-index. For grant applications and CV use, Google Scholar h-index is acceptable as long as you label the source clearly.
h-index vs Citation Count vs i10 vs g-index vs m-quotient
| Metric | What It Measures | Strength | Weakness |
|---|---|---|---|
| h-index | Sustained productivity + impact | Robust to outliers; well-understood | Hard to grow once established; flat-lines for senior researchers |
| Total citations | Total reach of your work | Simple, intuitive | One viral paper can dominate; no productivity signal |
| i10-index | Count of papers with ≥10 citations | Easy productivity check | No threshold-capping per paper |
| g-index | Better captures highly cited papers | Rewards exceptional work | Less commonly used; not on all platforms |
| m-quotient | h-index ÷ years since first publication | Fair across career stages | Sensitive to early-career anomalies |
| e-index | Counts excess citations above h-threshold | Complements h-index well | Rarely cited by committees |
| hI-index (Hirsch individual) | h-index normalized by author count per paper | Fair for collaborative fields | Computation-intensive; not on most platforms |
The m-Quotient: Most Useful Single Correction
The m-quotient = h-index ÷ years since your first publication. It normalizes for career length, making cross-career-stage comparison fair.
- m > 1.0 — Excellent. Average researcher gains 1 h-index point per year over the long run.
- m = 0.5–1.0 — Solid mid-career performance.
- m = 0.3–0.5 — Below average for active researchers.
- m < 0.3 — Below the productivity bar for tenured positions in most STEM fields.
Early-career researchers (year 1-3 since first publication) often have noisy m-quotients because h-index growth is bursty in the early years. Use m-quotient for years 5+.
How to Check Your h-index
Google Scholar (most generous, free)
- Go to scholar.google.com.
- Click "My Profile" (top right) — or set up a free author profile if you don't have one.
- Your h-index and i10-index appear in the right sidebar.
Google Scholar Profile is the most-used researcher profile platform globally. Highly recommended even if you do not use Scholar for your main citation reporting.
Scopus Author Profile (Scopus subscription)
Scopus calculates h-index from Scopus-indexed publications only. Visit scopus.com and search your name. Scopus h-index is typically 60-75% of your Scholar h-index but is widely used in formal evaluations.
Web of Science (ResearcherID, free)
Free ResearcherID profile at webofscience.com. WoS h-index is the most conservative because WoS has the narrowest curated coverage. Often required for European and North American tenure cases.
ORCID (universal ID, free)
ORCID does not calculate an h-index itself but provides a persistent ID linking your work across platforms. Every researcher should have one. Use our ORCID Checker to verify ORCID format and view a linked author profile.
JournalsHub Author Pages
Find your researcher profile on JournalsHub — pulls from OpenAlex with citation count and recent papers. Search via the authors directory or the main search bar.
h-index Gaming: What's Real, What's Just Bad Practice
The h-index is gameable. Most universities and grant agencies are aware of the patterns and use complementary metrics to detect them.
- Mass self-citation. Citing your own previous work in every new paper. Mild self-citation is normal; aggressive self-citation is detectable and discounted.
- Citation cartels. Small groups of researchers agreeing to cite each other's work. Specific patterns (sudden mutual citation between researchers without prior shared work) are flagged by integrity-detection tools.
- Coercive citation. Editors pressuring authors to add citations to the editor's own work or to the journal's back catalog. Major ethical violation; reportable to COPE.
- Stuffing review papers. Long reference lists in review papers boost the cited authors' h-indexes. Mild form of gaming; widely accepted.
- Coauthor inflation. Adding yourself to as many papers as possible. Often visible in CV review as papers where your contribution is unclear.
For tenure committees, the cleanest defense against gaming is reporting h-index excluding self-citations (available in Scopus and WoS) alongside the standard h-index.
The h-index Acceleration Playbook
Strategies that actually move the h-index for early- to mid-career researchers:
- Publish at least one strong review article. Reviews are cited 5-10x more than original research. One well-placed review paper in a top journal can lift your h-index by 3-5 points over 3-5 years.
- Always post a preprint. arXiv, bioRxiv, and SSRN preprints get cited 40-60% more than non-preprinted equivalents because they are accessible during the long review cycle.
- Publish in OA whenever possible. OA articles receive 1.5-2x more citations on average than paywalled equivalents.
- Collaborate across institutions. Multi-institution papers have higher citation rates than single-institution ones, partly because they reach broader networks.
- Present at field-defining conferences. A keynote or invited talk at a major conference raises visibility of your work and drives citation traffic.
- Pick journals with high "halo" effect. Q1 in your specific subfield matters more than higher-Q in a tangential subfield — citations come from same-field readers.
- Maintain a Google Scholar profile. Profiles are indexed and surfaced by Scholar — easier discovery, more citations downstream.
- Twitter / X / LinkedIn for academic posts. A well-timed thread about a new paper drives reads and citations, especially in CS, biology, and economics.
Frequently Asked Questions
Can my h-index decrease?
Generally no — once a paper has been cited h times, those citations do not disappear. However, your h-index on a specific database (Scopus, WoS) can drop if the database delists papers or journals you've published in. Google Scholar is more permanent because it indexes everything.
Does the h-index account for self-citations?
By default, no — platforms include self-citations unless you specifically filter them out. Scopus and Web of Science allow you to view your h-index excluding self-citations. Google Scholar does not offer this filter.
Why is my Google Scholar h-index higher than my Scopus h-index?
Google Scholar indexes the widest range of sources (preprints, theses, conference papers, working papers, grey literature). Scopus and WoS only index curated journals and selected conferences. The gap is typically 30-60% — a Scholar h-index of 20 often corresponds to a Scopus h-index of 12-15.
What is a good h-index for a PhD student?
Most PhD students complete their degree with an h-index of 1-3 in their primary database. An h-index of 5+ at graduation is considered strong. The first major productivity jump typically happens in years 3-5 of postdoctoral work as early papers accumulate citations.
What is the m-quotient and why does it matter?
The m-quotient is h-index divided by years since first publication. It normalizes for career length, making it fair to compare early-career and senior researchers. An m-quotient above 1.0 is excellent, 0.5-1.0 is solid, below 0.3 is below average for active researchers.
Is h-index gaming a real problem?
Yes. Most common gaming techniques are mass self-citation, citation cartels (researchers agreeing to cite each other's work), and stuffing reference lists in review papers. Most universities and funders are aware of these patterns and use complementary metrics (citations excluding self-cites, m-quotient) to detect them.
What is the i10-index?
The i10-index is the number of your papers with at least 10 citations. It is a Google Scholar metric, easy to compute. Useful as a productivity signal but less sophisticated than h-index because it does not threshold-cap by individual paper.
What is a good h-index for full professor?
Field-dependent. In biomedicine, full-professor candidates typically have h ≥ 30-40. In engineering or CS, h ≥ 20-30. In mathematics or humanities, h ≥ 12-20. Nobel laureates often exceed h=80. Always benchmark against your own department and field, not aggregate averages.
Does an open access publication strategy boost h-index?
On average, yes. OA articles receive 1.5-2x more citations than paywalled equivalents. The boost compounds over time, lifting both citation counts and h-index. Strategic OA placement is one of the highest-leverage moves for early-career researchers.
How quickly can I grow my h-index?
Realistically, h-index grows by 1-3 per year for active mid-career researchers. Strategies that accelerate growth: publishing review papers, posting preprints early, collaborating across institutions, attending field conferences, and publishing in OA venues. The first 5 papers are the slowest; growth compounds after.
Conclusion
The h-index is the most-quoted personal metric in academia for a reason — it captures both productivity and impact in a single number. But it is field-dependent, database-dependent, and gameable. Compare it within your own field and career stage, use the m-quotient to normalize across career length, and combine with citation count and journal-tier signals for a complete picture. Use JournalsHub's author pages to look up h-index from OpenAlex, or the ORCID Checker to verify and explore researcher profiles.