Arvind Narayanan: h-index, Total Citations, and Citation Map
Arvind Narayanan's h-index is 73 (138 i10-index, 46,317+ total citations across 1+ publications) according to Google Scholar as of July 2026. Arvind Narayanan is affiliated with Professor, Princeton University.
Arvind Narayanan is a researcher affiliated with Professor, Princeton University, specializing in AI, public policy. Their work has been cited 46,317 times. This profile visualizes their global influence, highlighting strong citation networks in Austria.
Arvind Narayanan's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 73
- i10-Index
- 138
- Total Citations
- 46,317
- Citing Countries
- 4
As of July 2026.
Arvind Narayanan has an h-index of 73 and 46,317 total citations across 1 publication, with research cited by institutions in 4 countries.
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Fairness and Machine Learning: Limitations and Opportunities
20234,468
Top Citing Countries
Top Citing Institutions
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 authored a seminal MIT Press book critically analyzing the limitations and opportunities of fairness in machine learning, establishing a foundational framework for the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Arvind Narayanan's research
Arvind Narayanan is a researcher in AI and public policy at Professor, Princeton University. Their work has been cited 46,317 times across 1 publications (h-index 73), according to Google Scholar.
Their most-cited work, “Fairness and Machine Learning: Limitations and Opportunities” (2023), has accumulated 4,468 citations.
Citations of Arvind Narayanan's research come primarily from Austria, Qatar and Spain, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
