Rob Fergus: h-index, Total Citations, and Citation Map
Rob Fergus's h-index is 20 (20 i10-index, 167,789+ total citations across 1+ publications) according to Google Scholar as of August 2026. Rob Fergus is affiliated with Facebook AI Research.
Rob Fergus is a researcher affiliated with Facebook AI Research, specializing in AI & Machine Learning. Their work has been cited 167,789 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Rob Fergus's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 167,789
- Citing Countries
- 49
As of August 2026.
Rob Fergus has an h-index of 20 and 167,789 total citations across 1 publication, with research cited by institutions in 49 countries.
Global Impact Map
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Visualizing and Understanding Convolutional Networks
201426,232
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 Rob Fergus's research
Rob Fergus is a researcher in AI & Machine Learning at Facebook AI Research. Their work has been cited 167,789 times across 1 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Visualizing and Understanding Convolutional Networks” (2014), has accumulated 26,232 citations. Other influential works include “Learning Spatiotemporal Features with 3D Convolutional Networks” (2015) with 9,550 citations and “Intriguing properties of neural networks” (2013) with 5,706 citations.
Citations of Rob Fergus's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
