Robert C. Williamson Google Scholar: h-index, Total Citations, and Citation Map
Robert C. Williamson's h-index is 58 (134 i10-index, 34,749+ total citations across 284+ publications) according to Google Scholar as of October 2026. Robert C. Williamson is affiliated with University of Tübingen.
Robert C. Williamson is a researcher affiliated with University of Tübingen, specializing in machine learning, learning theory, imprecise probability. Their work has been cited 34,749 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Robert C. Williamson's Citation Metrics
Bibliometric impact based on 284 indexed publications.
- H-Index
- 58
- i10-Index
- 134
- Total Citations
- 34,749
- Citing Countries
- 14
As of October 2026.
Robert C. Williamson has an h-index of 58 and 34,749 total citations across 284 publications, with research cited by institutions in 14 countries.
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Estimating the support of a high-dimensional distribution
20018,725
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Robert C. Williamson's research
Robert C. Williamson is a researcher in machine learning, learning theory and imprecise probability at University of Tübingen. Their work has been cited 34,749 times across 284 publications (h-index 58), according to Google Scholar.
Their most-cited work, “Estimating the support of a high-dimensional distribution” (2001), has accumulated 8,725 citations. Other influential works include “New support vector algorithms” (2000) with 3,996 citations and “Support vector method for novelty detection” (1999) with 3,789 citations.
Citations of Robert C. Williamson's research come primarily from United States, China and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
