Karol Hausman: h-index, Total Citations, and Citation Map
Karol Hausman's h-index is 56 (82 i10-index, 35,095+ total citations across 129+ publications) according to Google Scholar as of July 2026. Karol Hausman is affiliated with Google DeepMind.
Karol Hausman is a researcher affiliated with Google DeepMind, specializing in machine learning, robotics, reinforcement learning. Their work has been cited 35,095 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Karol Hausman's Citation Metrics
Bibliometric impact based on 129 indexed publications.
- H-Index
- 56
- i10-Index
- 82
- Total Citations
- 35,095
- Citing Countries
- 55
As of July 2026.
Karol Hausman has an h-index of 56 and 35,095 total citations across 129 publications, with research cited by institutions in 55 countries.
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We've mapped 5,000 of 35,095 citations for Karol Hausman
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Global Impact Map
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
20233,687
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.
446 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 Google DeepMind. Their work has been cited 35,095 times across 129 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 3,687 citations. Other influential works include “Palm-e: An embodied multimodal language model” (2023) with 3,481 citations and “Do as i can, not as i say: Grounding language in robotic affordances” (2022) with 3,048 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.
