Jeff Donahue Google Scholar: h-index, Total Citations, and Citation Map
Jeff Donahue has 122,946+ total citations according to Google Scholar as of November 2026. Jeff Donahue is affiliated with DeepMind.
Jeff Donahue is a researcher affiliated with DeepMind, specializing in AI & Machine Learning. Their work has been cited 122,946 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jeff Donahue's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 122,946
- Citing Countries
- 3
As of November 2026.
Jeff Donahue has an h-index of 1 and 122,946 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Rich feature hierarchies for accurate object detection and semantic segmentation
201446,405
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)
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About Jeff Donahue's research
Jeff Donahue is a researcher in AI & Machine Learning at DeepMind. Their work has been cited 122,946 times across 1 publication, according to Google Scholar.
Their most-cited work, “Rich feature hierarchies for accurate object detection and semantic segmentation” (2014), has accumulated 46,405 citations.
Citations of Jeff Donahue's research come primarily from China, United States and India, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
