Timothée Lacroix: h-index, Total Citations, and Citation Map
Timothée Lacroix's h-index is 1 (1 i10-index, 33,542+ total citations across 1+ publications) according to Google Scholar as of June 2026. Timothée Lacroix is affiliated with Facebook AI Research.
Timothée Lacroix is a researcher affiliated with Facebook AI Research, specializing in AI & Machine Learning. Their work has been cited 33,542 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Timothée Lacroix's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 33,542
- Citing Countries
- 3
As of June 2026.
Timothée Lacroix has an h-index of 1 and 33,542 total citations across 1 publication, with research cited by institutions in 3 countries.
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Llama: Open and Efficient Foundation Language Models
202326,546
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 Timothée Lacroix's research
Timothée Lacroix is a researcher in AI & Machine Learning at Facebook AI Research. Their work has been cited 33,542 times across 1 publications, according to Google Scholar.
Their most-cited work, “Llama: Open and Efficient Foundation Language Models” (2023), has accumulated 26,546 citations.
Citations of Timothée Lacroix's research come primarily from China, Israel and United States, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
