Sanja Fidler: h-index, Total Citations, and Citation Map
Sanja Fidler's h-index is 75 (172 i10-index, 69,139+ total citations across 489+ publications) according to Google Scholar as of August 2026. Sanja Fidler is affiliated with University of Toronto, NVIDIA.
Sanja Fidler is a researcher affiliated with University of Toronto, NVIDIA, specializing in AI & Machine Learning. Their work has been cited 69,139 times. This profile visualizes their global influence, spanning a global audience.
Sanja Fidler's Citation Metrics
Bibliometric impact based on 489 indexed publications.
- H-Index
- 75
- i10-Index
- 172
- Total Citations
- 69,139
- Citing Countries
- 0
As of August 2026.
Sanja Fidler has an h-index of 75 and 69,139 total citations across 489 publications, with research cited by institutions in 0 countries.
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Scene Parsing through ADE20K Dataset
20174,990
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About Sanja Fidler's research
Sanja Fidler is a researcher in AI & Machine Learning at University of Toronto, NVIDIA. Their work has been cited 69,139 times across 489 publications (h-index 75), according to Google Scholar.
Their most-cited work, “Scene Parsing through ADE20K Dataset” (2017), has accumulated 4,990 citations. Other influential works include “Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books” (2015) with 2,052 citations and “Semantic Understanding of Scenes Through the ADE20K Dataset” (2018) with 1,599 citations.
