Sanja Fidler: h-index, Total Citations, and Citation Map
Sanja Fidler's h-index is 1 (1 i10-index, 64,746+ total citations across 1+ publications) according to Google Scholar as of June 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 64,746 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Sanja Fidler's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 64,746
- Citing Countries
- 6
As of June 2026.
Sanja Fidler has an h-index of 1 and 64,746 total citations across 1 publication, with research cited by institutions in 6 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 64,746 times across 1 publications, according to Google Scholar.
Their most-cited work, “Scene Parsing through ADE20K Dataset” (2017), has accumulated 4,990 citations.
Citations of Sanja Fidler's research come primarily from China, United States 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.
