Tom B Brown Google Scholar: h-index, Total Citations, and Citation Map
Tom B Brown's h-index is 51 (66 i10-index, 160,093+ total citations across 89+ publications) according to Google Scholar as of November 2026. Tom B Brown is affiliated with Anthropic.
Tom B Brown is a researcher affiliated with Anthropic, specializing in AI & Machine Learning. Their work has been cited 160,093 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Tom B Brown's Citation Metrics
Bibliometric impact based on 89 indexed publications.
- H-Index
- 51
- i10-Index
- 66
- Total Citations
- 160,093
- Citing Countries
- 25
As of November 2026.
Tom B Brown has an h-index of 51 and 160,093 total citations across 89 publications, with research cited by institutions in 25 countries.
Global Impact Map
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Language models are few-shot learners
202098,732
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 Tom B Brown's research
Tom B Brown is a researcher in AI & Machine Learning at Anthropic. Their work has been cited 160,093 times across 89 publications (h-index 51), according to Google Scholar.
Their most-cited work, “Language models are few-shot learners” (2020), has accumulated 98,732 citations. Other influential work includes “Scaling laws for neural language models” (2020) with 10,102 citations.
Citations of Tom B Brown'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.
