Andrew Gelman Google Scholar: h-index, Total Citations, and Citation Map
Andrew Gelman's h-index is 141 (370 i10-index, 230,415+ total citations across 847+ publications) according to Google Scholar as of October 2026. Andrew Gelman is affiliated with Columbia University.
Andrew Gelman is a researcher affiliated with 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 847 indexed publications.
- H-Index
- 141
- i10-Index
- 370
- Total Citations
- 230,415
- Citing Countries
- 28
As of October 2026.
Andrew Gelman has an h-index of 141 and 230,415 total citations across 847 publications, with research cited by institutions in 28 countries.
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Global Impact Map
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Bayesian Data Analysis, Third Edition
201344,605
Top Citing Countries
Top Citing Institutions
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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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About Andrew Gelman's research
Andrew Gelman is a researcher in statistics and political science at Columbia University. Their work has been cited 230,415 times across 847 publications (h-index 141), according to Google Scholar.
Their most-cited work, “Bayesian Data Analysis, Third Edition” (2013), has accumulated 44,605 citations. Other influential works include “Inference from Iterative Simulation Using Multiple Sequences” (1992) with 22,186 citations and “Data Analysis Using Regression and Multilevel/Hierarchical Models” (2007) with 22,054 citations.
Citations of Andrew Gelman's research come primarily from United States, United Kingdom and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
