Thomas Brox Google Scholar: h-index, Total Citations, and Citation Map
Thomas Brox's h-index is 112 (285 i10-index, 244,119+ total citations across 496+ publications) according to Google Scholar as of November 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 244,119 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Thomas Brox's Citation Metrics
Bibliometric impact based on 496 indexed publications.
- H-Index
- 112
- i10-Index
- 285
- Total Citations
- 244,119
- Citing Countries
- 86
As of November 2026.
Thomas Brox has an h-index of 112 and 244,119 total citations across 496 publications, with research cited by institutions in 86 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
U-net: Convolutional networks for biomedical image segmentation
2015138,735
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
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 244,119 times across 496 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 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.
