Karol Hausman Google Scholar: h-index, Total Citations, and Citation Map
Karol Hausman's h-index is 56 (83 i10-index, 39,023+ total citations across 130+ publications) according to Google Scholar as of October 2026. Karol Hausman is affiliated with Physical Intelligence (Pi).
Karol Hausman is a researcher affiliated with Physical Intelligence (Pi), specializing in machine learning, robotics, reinforcement learning. Their work has been cited 39,023 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Karol Hausman's Citation Metrics
Bibliometric impact based on 130 indexed publications.
- H-Index
- 56
- i10-Index
- 83
- Total Citations
- 39,023
- Citing Countries
- 63
As of October 2026.
Karol Hausman has an h-index of 56 and 39,023 total citations across 130 publications, with research cited by institutions in 63 countries.
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Global Impact Map
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
20234,330
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.
211 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 Karol Hausman's research
Karol Hausman is a researcher in machine learning, robotics and reinforcement learning at Physical Intelligence (Pi). Their work has been cited 39,023 times across 130 publications (h-index 56), according to Google Scholar.
Their most-cited work, “Rt-2: Vision-language-action models transfer web knowledge to robotic control” (2023), has accumulated 4,330 citations. Other influential works include “Palm-e: An embodied multimodal language model” (2023) with 3,782 citations and “Do as i can, not as i say: Grounding language in robotic affordances” (2022) with 3,307 citations.
Citations of Karol Hausman'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.
