Sanja Fidler Google Scholar: h-index, Total Citations, and Citation Map
Sanja Fidler's h-index is 75 (172 i10-index, 70,459+ total citations across 493+ publications) according to Google Scholar as of November 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 70,459 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Sanja Fidler's Citation Metrics
Bibliometric impact based on 493 indexed publications.
- H-Index
- 75
- i10-Index
- 172
- Total Citations
- 70,459
- Citing Countries
- 84
As of November 2026.
Sanja Fidler has an h-index of 75 and 70,459 total citations across 493 publications, with research cited by institutions in 84 countries.
Global Impact Map
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Scene Parsing through ADE20K Dataset
20174,990
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 Sanja Fidler's research
Sanja Fidler is a researcher in AI & Machine Learning at University of Toronto, NVIDIA. Their work has been cited 70,459 times across 493 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.
Citations of Sanja Fidler'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.
