Sebastian Thrun Google Scholar: h-index, Total Citations, and Citation Map
Sebastian Thrun's h-index is 167 (436 i10-index, 179,200+ total citations across 722+ publications) according to Google Scholar as of October 2026. Sebastian Thrun is affiliated with Stanford.
Sebastian Thrun is a researcher affiliated with Stanford, specializing in Machine Learning, Artificial Intelligence, Robotics. Their work has been cited 179,200 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Sebastian Thrun's Citation Metrics
Bibliometric impact based on 722 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 167
- i10-Index
- 436
- Total Citations
- 179,200
- Citing Countries
- 90
As of October 2026.
Sebastian Thrun has an h-index of 167 and 179,200 total citations across 722 publications, with research cited by institutions in 90 countries.
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Global Impact Map
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Dermatologist-level classification of skin cancer with deep neural networks
201719,881
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.
645 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational probabilistic frameworks for mobile robot localization in dynamic and collaborative environments, significantly advancing autonomous navigation reliability.
The researcher developed a foundational real-time algorithm for mobile robot mapping, enabling scalable applications in multi-robot coordination and complex 3D environments like underground mines.
The researcher developed the dynamic window approach, a seminal method for real-time mobile robot collision avoidance that has become a foundational standard in autonomous navigation.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Sebastian Thrun's research
Sebastian Thrun is a researcher in Machine Learning, Artificial Intelligence and Robotics at Stanford. Their work has been cited 179,200 times across 722 publications (h-index 167), according to Google Scholar.
Their most-cited work, “Dermatologist-level classification of skin cancer with deep neural networks” (2017), has accumulated 19,881 citations. Other influential works include “Probabilistic robotics” (2002) with 16,279 citations and “A guide to deep learning in healthcare” (2019) with 7,757 citations.
Citations of Sebastian Thrun's research come primarily from China, United States and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
