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 June 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 United States.
Karol Hausman's Citation Metrics
Bibliometric impact based on 129 indexed publications.
- H-Index
- 56
- i10-Index
- 82
- Total Citations
- 35,095
- Citing Countries
- 32
As of June 2026.
Karol Hausman has an h-index of 56 and 35,095 total citations across 129 publications, with research cited by institutions in 32 countries.
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
20233,687
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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 United States, China 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.
