Sergey Levine Google Scholar: h-index, Total Citations, and Citation Map
Sergey Levine's h-index is 281 (733 i10-index, 289,712+ total citations across 858+ publications) according to Google Scholar as of November 2026. Sergey Levine is affiliated with UC Berkeley, Physical Intelligence.
Sergey Levine is a researcher affiliated with UC Berkeley, Physical Intelligence, specializing in AI & Machine Learning. Their work has been cited 289,712 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sergey Levine's Citation Metrics
Bibliometric impact based on 858 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 281
- i10-Index
- 733
- Total Citations
- 289,712
- Citing Countries
- 92
As of November 2026.
Sergey Levine has an h-index of 281 and 289,712 total citations across 858 publications, with research cited by institutions in 92 countries.
Global Impact Map
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
201719,060
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 Sergey Levine's research
Sergey Levine is a researcher in AI & Machine Learning at UC Berkeley, Physical Intelligence. Their work has been cited 289,712 times across 858 publications (h-index 281), according to Google Scholar.
Their most-cited work, “Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks” (2017), has accumulated 19,060 citations. Other influential work includes “Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor” (2018) with 18,171 citations.
Citations of Sergey Levine's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
