Thomas Brox: h-index, Total Citations, and Citation Map
Thomas Brox's h-index is 112 (278 i10-index, 231,438+ total citations across 100+ publications) according to Google Scholar as of June 2026. Thomas Brox is affiliated with University of Freiburg.
Thomas Brox is a researcher affiliated with University of Freiburg, specializing in Computer Vision, Machine Learning, Artificial Intelligence. Their work has been cited 231,438 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Thomas Brox's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 112
- i10-Index
- 278
- Total Citations
- 231,438
- Citing Countries
- 15
As of June 2026.
Thomas Brox has an h-index of 112 and 231,438 total citations across 100 publications, with research cited by institutions in 15 countries.
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U-net: Convolutional networks for biomedical image segmentation
2015138,735
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Thomas Brox's research
Thomas Brox is a researcher in Computer Vision, Machine Learning and Artificial Intelligence at University of Freiburg. Their work has been cited 231,438 times across 100 publications (h-index 112), according to Google Scholar.
Their most-cited work, “U-net: Convolutional networks for biomedical image segmentation” (2015), has accumulated 138,735 citations. Other influential works include “3D U-Net: learning dense volumetric segmentation from sparse annotation” (2016) with 11,135 citations and “Striving for simplicity: The all convolutional net” (2014) with 6,844 citations.
Citations of Thomas Brox's research come primarily from United States, China and Japan, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











