Trevor Darrell: h-index, Total Citations, and Citation Map
Trevor Darrell's h-index is 187 (581 i10-index, 341,686+ total citations across 912+ publications) according to Google Scholar as of July 2026. Trevor Darrell is affiliated with Professor of Computer Science, U.C. Berkeley.
Trevor Darrell is a researcher affiliated with Professor of Computer Science, U.C. Berkeley, specializing in various fields. Their work has been cited 341,686 times. This profile visualizes their global influence, spanning a global audience.
Trevor Darrell's Citation Metrics
Bibliometric impact based on 912 indexed publications.
- H-Index
- 187
- i10-Index
- 581
- Total Citations
- 341,686
- Citing Countries
- 0
As of July 2026.
Trevor Darrell has an h-index of 187 and 341,686 total citations across 912 publications, with research cited by institutions in 0 countries.
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Fully convolutional networks for semantic segmentation
201563,741
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About Trevor Darrell's research
Trevor Darrell is a researcher at Professor of Computer Science, U.C. Berkeley. Their work has been cited 341,686 times across 912 publications (h-index 187), according to Google Scholar.
Their most-cited work, “Fully convolutional networks for semantic segmentation” (2015), has accumulated 63,741 citations. Other influential works include “Rich feature hierarchies for accurate object detection and semantic segmentation” (2014) with 47,690 citations and “Caffe: Convolutional architecture for fast feature embedding” (2014) with 18,707 citations.
