Sergey Levine: h-index, Total Citations, and Citation Map
Sergey Levine's h-index is 1 (1 i10-index, 238,861+ total citations across 1+ publications) according to Google Scholar as of June 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 238,861 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Sergey Levine's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 238,861
- Citing Countries
- 3
As of June 2026.
Sergey Levine has an h-index of 1 and 238,861 total citations across 1 publication, with research cited by institutions in 3 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 238,861 times across 1 publications, according to Google Scholar.
Their most-cited work, “Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks” (2017), has accumulated 19,060 citations.
Citations of Sergey Levine's research come primarily from China, Australia and Singapore, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
