Satinder Singh: h-index, Total Citations, and Citation Map
Satinder Singh's h-index is 1 (1 i10-index, 52,654+ total citations across 1+ publications) according to Google Scholar as of June 2026. Satinder Singh is affiliated with Google DeepMind / U. of Michigan.
Satinder Singh is a researcher affiliated with Google DeepMind / U. of Michigan, specializing in AI & Machine Learning. Their work has been cited 52,654 times. This profile visualizes their global influence, highlighting strong citation networks in Canada.
Satinder Singh's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 52,654
- Citing Countries
- 9
As of June 2026.
Satinder Singh has an h-index of 1 and 52,654 total citations across 1 publication, with research cited by institutions in 9 countries.
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Policy Gradient Methods for Reinforcement Learning with Function Approximation
199910,902
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 Satinder Singh's research
Satinder Singh is a researcher in AI & Machine Learning at Google DeepMind / U. of Michigan. Their work has been cited 52,654 times across 1 publications, according to Google Scholar.
Their most-cited work, “Policy Gradient Methods for Reinforcement Learning with Function Approximation” (1999), has accumulated 10,902 citations.
Citations of Satinder Singh's research come primarily from Canada, China and Greece, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
