Hugo Touvron: h-index, Total Citations, and Citation Map
Hugo Touvron's h-index is 1 (1 i10-index, 106,130+ total citations across 1+ publications) according to Google Scholar as of June 2026. Hugo Touvron is affiliated with Facebook AI Research.
Hugo Touvron is a researcher affiliated with Facebook AI Research, specializing in AI & Machine Learning. Their work has been cited 106,130 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Hugo Touvron's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 106,130
- Citing Countries
- 3
As of June 2026.
Hugo Touvron has an h-index of 1 and 106,130 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Llama: Open and Efficient Foundation Language Models
202326,736
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Hugo Touvron's research
Hugo Touvron is a researcher in AI & Machine Learning at Facebook AI Research. Their work has been cited 106,130 times across 1 publications, according to Google Scholar.
Their most-cited work, “Llama: Open and Efficient Foundation Language Models” (2023), has accumulated 26,736 citations.
Citations of Hugo Touvron'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.











