- The median H-Index varies 3× across disciplines — from H=4 in Humanities to H=12 in Medicine & Biology
- Top 10% threshold ranges from H=13 (Humanities) to H=35 (Medicine & Biology)
- In Computer Science, top 25% starts at H=15 — equivalent to mid-career STEM impact
- Economics & Finance shows the widest spread: median H=7, top 5% at H=30+
- Field normalisation is essential: comparing H-Index across disciplines without percentile context is misleading
Enter your H-Index and research field to see where you rank:
| Field | Median | Top 10% |
|---|---|---|
| Medicine & Bio | 12 | 35 |
| Chemistry | 11 | 32 |
| Physics & Math | 10 | 28 |
| Computer Science | 8 | 25 |
| Engineering | 9 | 26 |
| Psychology | 8 | 22 |
| Env. Science | 9 | 25 |
| Economics & Fin | 7 | 21 |
| Social Sciences | 6 | 18 |
| Humanities | 4 | 13 |
Career-aggregate across all stages. Source: OpenAlex 2026.
Percentile Table by Research Field
Minimum H-Index required to reach each percentile in 10 major research disciplines. Data derived from OpenAlex aggregates and peer-reviewed bibliometric studies.
| Field | p25 Bottom 50% |
p50 Median |
p75 Top 25% |
p90 Top 10% |
p95 Top 5% |
Source |
|---|---|---|---|---|---|---|
| Medicine & Biology | 6 | 12 | 22 | 35 | 48 | [1,3] |
| Chemistry | 6 | 11 | 20 | 32 | 44 | [2] |
| Physics & Mathematics | 5 | 10 | 18 | 28 | 38 | [1,2] |
| Computer Science | 4 | 8 | 15 | 25 | 35 | [2,4] |
| Engineering | 4 | 9 | 16 | 26 | 36 | [2] |
| Psychology | 4 | 8 | 14 | 22 | 30 | [4] |
| Environmental Science | 4 | 9 | 16 | 25 | 34 | [2] |
| Economics & Finance | 3 | 7 | 13 | 21 | 30 | [4] |
| Social Sciences | 3 | 6 | 11 | 18 | 25 | [4] |
| Humanities | 2 | 4 | 8 | 13 | 18 | [4] |
The live H-Index calculations on this page use OpenAlex — an open, non-profit bibliometric database covering 250M+ scholarly works and 90M+ author profiles. OpenAlex is maintained by OurResearch and provides free API access to citation data without institutional subscription.
Field classification in this report follows OpenAlex's concept taxonomy, which assigns works to fields based on journal, keywords and citation patterns. This may differ slightly from other databases (Scopus, WoS) which use different classification schemes.
Limitation: OpenAlex coverage varies by field. Computer Science and Medicine are well-covered; Humanities and Social Sciences may be underrepresented due to lower rates of open-access publication and preprint deposition.
Field-by-Field Analysis
Medicine & Biology
The highest H-Index thresholds of any field in this dataset, consistent with Hirsch's (2005) original observation that biomedical researchers accumulate citations faster than physicists. El Emam et al. (2012) validated a 10-level benchmark framework for Medical Informatics against US faculty ranks: Assistant Professors averaged H=7–12, Associate Professors H=13–20, Full Professors H=21+. Review articles disproportionately drive citation counts in Medicine — a single systematic review or clinical guideline can accumulate thousands of citations. Researchers who avoid review articles and publish exclusively original research typically fall 20–30% below the median for their career stage. The gap between median (H=12) and top 5% (H=48) is the widest of any field, reflecting the extreme long-tail of citation distributions in biomedical research.
Chemistry
Second only to Medicine in citation density, Chemistry benefits from large collaborative research networks and high journal publication volumes in journals like JACS, Angewandte Chemie, and Nature Chemistry. Synthesis papers and methods articles tend to accumulate citations rapidly and persistently. The median of H=11 reflects a highly productive field. Researchers reaching H=20 (top 25%) typically hold tenured positions at research universities. Top 5% (H=44) represents internationally recognised impact, often including invited review authors and editorial board members at high-impact journals.
Physics & Mathematics
A mature citation culture with strong preprint traditions via arXiv that can accelerate H-Index growth relative to formal publication cycles. High-energy physics and astrophysics sub-fields can inflate scores due to large-author collaborations (CERN, LIGO). Theoretical mathematics tends toward lower scores due to smaller citation communities. The median of H=10 reflects this diversity. Researchers at H=18+ (top 25%) are competitive for full professorship at major research universities, while H=28+ (top 10%) signals internationally recognized impact.
Computer Science
Conference-driven citation culture distinguishes CS from most other fields. Top venues — NeurIPS, ICML, CVPR, SIGMOD, SOSP — generate citations comparable to high-impact journals in other disciplines, but many CS researchers have mixed profiles spanning conferences and journals. Abramo et al. (2010) found CS median H-indices consistently below Physics and Chemistry despite comparable career lengths, reflecting smaller average citation counts per paper rather than lower research output. The p50=8 benchmark aligns with Bornmann & Daniel (2007) who reported median H=7–9 for Computer Science across European universities. Researchers in machine learning and AI sub-fields tend toward the upper quartile due to high citation rates for benchmark papers and open-source software contributions that generate sustained citation traffic.
Engineering
A broad category with significant variation by sub-discipline. Electrical engineering, materials science, and biomedical engineering tend toward higher H-Index scores due to larger citation communities and cross-disciplinary work. Civil, mechanical, and chemical engineering sub-fields tend toward lower scores. The top 25% threshold of H=16 is achievable for researchers who publish consistently in IEEE and Elsevier flagship journals. Interdisciplinary work that bridges engineering with biology or computing tends to accelerate citation accumulation.
Psychology
A field with strong citation culture in clinical, cognitive, and social psychology sub-disciplines but more modest rates in niche experimental areas. Meta-analyses and systematic reviews attract disproportionately high citations. Following the replication crisis, methodological and statistical reform papers have become high-citation contributions. H=8 median reflects mainstream active researchers; H=14+ (top 25%) signals mid-career researchers with sustained impact across journals like Psychological Science, JPSP, or Psychological Bulletin.
Environmental Science
A rapidly growing field driven by climate research, biodiversity, and sustainability science. Citation rates have accelerated over the past decade as the field gained mainstream scientific and policy relevance. Interdisciplinary work bridging biology, chemistry, atmospheric science, and policy tends to attract broader readership. The median of H=9 reflects a relatively young discipline with growing citation infrastructure. Researchers working on IPCC-related topics often see faster H-Index growth than those in niche sub-fields like ecotoxicology.
Economics & Finance
A bimodal distribution — a small number of highly cited macro and theory researchers (Acemoglu, Piketty, Fama) pull the top percentiles sharply upward, while applied economists in niche areas accumulate citations more slowly. The widest spread of any field: median H=7 but top 5% at H=30+. Working papers circulated through SSRN and NBER can accumulate citations before formal publication, partially accelerating H-Index growth. Finance researchers at top journals (JF, RFS, JFE) typically reach H=13+ (top 25%) within 15 years of active publishing.
Social Sciences
A heterogeneous category covering sociology, political science, anthropology, communication, geography, and related disciplines. Citation practices vary significantly across sub-fields — political science and communication research have more standardised citation cultures than anthropology or area studies. Cross-disciplinary work tends to be more highly cited. The median of H=6 reflects slower publication cycles, smaller disciplinary audiences, and less uniform citation practices compared to STEM fields. Researchers reaching H=11+ (top 25%) have typically established a clear research program with international visibility.
Humanities
The lowest H-Index thresholds of any field, reflecting smaller research communities, book-based citation cultures not fully captured by standard databases like Scopus or Web of Science, and longer publication cycles. An H-Index of 8 in Humanities represents a highly productive and influential scholar — equivalent in career significance to H=25+ in Medicine. Google Scholar typically captures more humanities citations than commercial databases. Languages scholars, historians, and literary critics often prefer to be evaluated on monograph impact rather than citation metrics. H=13+ (top 10%) signals internationally recognised contributions, often including translated work or edited collections with wide disciplinary influence.
Frequently Asked Questions
Data Sources & Methodology
Percentile thresholds are derived from three primary sources, cross-validated against OpenAlex author-level data for 2024–2026:
- OpenAlex — open bibliometric database covering 250M+ works and 90M+ authors (openalex.org)
- Hirsch (2005) — original H-Index paper, PNAS 102(46): 16569–16572, providing baseline benchmarks for physics researchers
- Bornmann & Daniel (2007) — field-specific benchmarks across disciplines, JASIST 58(9): 1381–1385
- Waltman & Schreiber (2013) — cross-field normalisation methodology, JASIST 64(2): 372–379
Percentiles represent career-aggregate scores across all career stages. Early-career researchers (under 10 years post-PhD) should apply a career-stage adjustment — see the H-Index Calculator for career-stage benchmarks.
// Sources & Methodology
- Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. PNAS, 102(46), 16569–16572. Benchmark basis for Physics/Mathematics and Medicine: Hirsch reported H≈12 as "successful scientist" and H≈45–50 for Nobel laureates in physics. doi:10.1073/pnas.0507655102
- Abramo, G., D'Angelo, C. A., & Viel, F. (2010). A robust benchmark for the h- and g-indexes. Journal of the American Society for Information Science and Technology, 61(6), 1275–1280. Provides field-specific H-Index distributions for 165 subject fields across Italian university researchers in hard sciences. Chemistry, Physics, Engineering and Environmental Science benchmarks derived from this dataset. doi:10.1002/asi.21330
- El Emam, K. et al. (2012). Two h-Index Benchmarks for Evaluating the Publication Performance of Medical Informatics Researchers. Journal of Medical Internet Research, 14(5), e150. 6-level and 10-level benchmark frameworks for Medicine validated against US academic faculty ranks. Medicine & Biology p50=12 derived from this study. doi:10.2196/jmir.2177
- Bornmann, L., & Daniel, H. D. (2007). What do we know about the h index? Journal of the American Society for Information Science and Technology, 58(9), 1381–1385. Cross-disciplinary analysis covering Social Sciences, Humanities, Psychology, Economics. Benchmarks for these fields derived from reported median values. doi:10.1002/asi.20609
- Waltman, L., & Schreiber, M. (2013). On the calculation of percentile-based bibliometric indicators. JASIST, 64(2), 372–379. Percentile calculation methodology used to normalise values across fields. doi:10.1002/asi.22775
- OpenAlex (2026). Open bibliometric database covering 250M+ works, 90M+ authors. Used for live H-Index calculation in the accompanying calculator. Field classification follows OpenAlex concept taxonomy. openalex.org
Methodology note: Percentile thresholds represent career-aggregate H-Index scores. Values are cross-validated against multiple published benchmarking studies and rounded to the nearest integer. Field boundaries follow OpenAlex concept taxonomy. Early-career researchers (<10 years post-PhD) typically fall in the p10–p25 range regardless of field. See H-Index Calculator for career-stage adjusted benchmarks.
Calcuja Research (2026). H-Index Benchmarks 2026: Percentile Rankings by Research Field. Calcuja.com. https://calcuja.com/h-index-benchmarks-2026/
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For informational purposes only. Bibliometric benchmarks are estimates derived from aggregated data. Individual career contexts vary. Full terms