Roger Grosse Google Scholar: h-index, Total Citations, and Citation Map
Roger Grosse has 24,302+ total citations according to Google Scholar as of November 2026. Roger Grosse is affiliated with University of Toronto.
Roger Grosse is a researcher affiliated with University of Toronto, specializing in AI & Machine Learning. Their work has been cited 24,302 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Roger Grosse's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 24,302
- Citing Countries
- 7
As of November 2026.
Roger Grosse has an h-index of 1 and 24,302 total citations across 1 publication, with research cited by institutions in 7 countries.
Global Impact Map
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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
20093,555
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 Roger Grosse's research
Roger Grosse is a researcher in AI & Machine Learning at University of Toronto. Their work has been cited 24,302 times across 1 publication, according to Google Scholar.
Their most-cited work, “Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations” (2009), has accumulated 3,555 citations.
Citations of Roger Grosse's research come primarily from United States, China and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
