Sewon Min Google Scholar: h-index, Total Citations, and Citation Map
Sewon Min's h-index is 45 (56 i10-index, 24,849+ total citations across 81+ publications) according to Google Scholar as of November 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 Natural Language Processing, Machine Learning. Their work has been cited 24,849 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Sewon Min's Citation Metrics
Bibliometric impact based on 81 indexed publications.
- H-Index
- 45
- i10-Index
- 56
- Total Citations
- 24,849
- Citing Countries
- 38
As of November 2026.
Sewon Min has an h-index of 45 and 24,849 total citations across 81 publications, with research cited by institutions in 38 countries.
Global Impact Map
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Dense Passage Retrieval for Open-Domain Question Answering
20208,882
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 Natural Language Processing and Machine Learning at UC Berkeley EECS & Allen Institute for AI. Their work has been cited 24,849 times across 81 publications (h-index 45), according to Google Scholar.
Their most-cited work, “Dense Passage Retrieval for Open-Domain Question Answering” (2020), has accumulated 8,882 citations. Other influential works include “Rethinking the role of demonstrations: What makes in-context learning work?” (2022) with 2,561 citations and “Factscore: Fine-grained atomic evaluation of factual precision in long form text generation” (2023) with 1,935 citations.
Citations of Sewon Min'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.
