Andrew Gelman: h-index, Total Citations, and Citation Map
Andrew Gelman's h-index is 139 (370 i10-index, 230,415+ total citations across 3+ publications) according to Google Scholar as of May 2026. Andrew Gelman is affiliated with Professor of Statistics and Political Science, Columbia University.
Andrew Gelman is a researcher affiliated with Professor of Statistics and Political Science, Columbia University, specializing in statistics, political science. Their work has been cited 230,415 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Andrew Gelman's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 139
- i10-Index
- 370
- Total Citations
- 230,415
- Citing Countries
- 27
As of May 2026.
Andrew Gelman has an h-index of 139 and 230,415 total citations across 3 publications, with research cited by institutions in 27 countries.
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Global Impact Map
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Top Cited Works
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Bayesian Data Analysis, Third Edition
201344,605
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Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher established foundational methodologies for statistical inference using iterative simulation with multiple sequences, a seminal contribution that has profoundly influenced modern computational statistics.
The researcher authored a seminal textbook on Bayesian data analysis that has become a foundational reference, accumulating over 44,000 citations and demonstrating widespread independent adoption across the scientific community.
The researcher established a foundational framework for data analysis using regression and multilevel models, as evidenced by their seminal 2007 monograph.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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