Sewon Min: h-index, Total Citations, and Citation Map
Sewon Min's h-index is 1 (1 i10-index, 19,599+ total citations across 1+ publications) according to Google Scholar as of June 2026. Sewon Min is affiliated with UC Berkeley EECS & Allen Institute for AI.
Sewon Min is a researcher affiliated with UC Berkeley EECS & Allen Institute for AI, specializing in AI & Machine Learning. Their work has been cited 19,599 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Sewon Min's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 19,599
- Citing Countries
- 5
As of June 2026.
Sewon Min has an h-index of 1 and 19,599 total citations across 1 publication, with research cited by institutions in 5 countries.
Global Impact Map
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Dense Passage Retrieval for Open-Domain Question Answering
20206,660
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 Sewon Min's research
Sewon Min is a researcher in AI & Machine Learning at UC Berkeley EECS & Allen Institute for AI. Their work has been cited 19,599 times across 1 publications, according to Google Scholar.
Their most-cited work, “Dense Passage Retrieval for Open-Domain Question Answering” (2020), has accumulated 6,660 citations.
Citations of Sewon Min's research come primarily from China, France and Hong Kong, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











