Sanjeev Arora Google Scholar: h-index, Total Citations, and Citation Map
Sanjeev Arora has 46,843+ total citations according to Google Scholar as of November 2026. Sanjeev Arora is affiliated with Princeton University.
Sanjeev Arora is a researcher affiliated with Princeton University, specializing in AI & Machine Learning. Their work has been cited 46,843 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sanjeev Arora's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 46,843
- Citing Countries
- 11
As of November 2026.
Sanjeev Arora has an h-index of 1 and 46,843 total citations across 1 publication, with research cited by institutions in 11 countries.
Global Impact Map
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Computational Complexity: A Modern Approach
20096,014
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Sanjeev Arora's research
Sanjeev Arora is a researcher in AI & Machine Learning at Princeton University. Their work has been cited 46,843 times across 1 publication, according to Google Scholar.
Their most-cited work, “Computational Complexity: A Modern Approach” (2009), has accumulated 6,014 citations.
Citations of Sanjeev Arora's research come primarily from United States, Canada and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
