Armand Joulin: h-index, Total Citations, and Citation Map
Armand Joulin's h-index is 76 (111 i10-index, 133,678+ total citations across 119+ publications) according to Google Scholar as of July 2026. Armand Joulin is affiliated with Google DeepMind.
Armand Joulin is a researcher affiliated with Google DeepMind, specializing in various fields. Their work has been cited 133,678 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Armand Joulin's Citation Metrics
Bibliometric impact based on 119 indexed publications.
- H-Index
- 76
- i10-Index
- 111
- Total Citations
- 133,678
- Citing Countries
- 73
As of July 2026.
Armand Joulin has an h-index of 76 and 133,678 total citations across 119 publications, with research cited by institutions in 73 countries.
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Global Impact Map
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Llama: Open and efficient foundation language models
202328,347
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
11 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Armand Joulin's research
Armand Joulin is a researcher at Google DeepMind. Their work has been cited 133,678 times across 119 publications (h-index 76), according to Google Scholar.
Their most-cited work, “Llama: Open and efficient foundation language models” (2023), has accumulated 28,347 citations. Other influential works include “Enriching word vectors with subword information” (2017) with 15,772 citations and “Emerging properties in self-supervised vision transformers” (2021) with 11,824 citations.
Citations of Armand Joulin's research come primarily from China, United States 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.
