Jonathan Tompson: h-index, Total Citations, and Citation Map
Jonathan Tompson's h-index is 46 (57 i10-index, 30,866+ total citations across 70+ publications) according to Google Scholar as of July 2026. Jonathan Tompson is affiliated with Meta Reality Labs.
Jonathan Tompson is a researcher affiliated with Meta Reality Labs, specializing in various fields. Their work has been cited 30,866 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jonathan Tompson's Citation Metrics
Bibliometric impact based on 70 indexed publications.
- H-Index
- 46
- i10-Index
- 57
- Total Citations
- 30,866
- Citing Countries
- 47
As of July 2026.
Jonathan Tompson has an h-index of 46 and 30,866 total citations across 70 publications, with research cited by institutions in 47 countries.
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Global Impact Map
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Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities
20253,971
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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.
97 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered embodied reasoning via inner monologue planning in language models, a framework subsequently extended to action hierarchies, establishing a foundational approach for autonomous agent cognition.
The researcher developed Palm-e, an embodied multimodal language model, establishing a foundational framework for integrating visual perception with language understanding in robotic agents.
The researcher pioneered real-time continuous human hand pose recovery using convolutional networks, establishing a foundational method widely adopted by the independent computer vision community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jonathan Tompson's research
Jonathan Tompson is a researcher at Meta Reality Labs. Their work has been cited 30,866 times across 70 publications (h-index 46), according to Google Scholar.
Their most-cited work, “Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities” (2025), has accumulated 3,971 citations. Other influential works include “Palm-e: An embodied multimodal language model” (2023) with 3,819 citations and “Joint training of a convolutional network and a graphical model for human pose estimation” (2014) with 2,189 citations.
Citations of Jonathan Tompson'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.
