Science Explorer Back to mapMap
Discussion
Researcher · University of Toronto · Canada

Sanja Fidler

Sanja Fidler publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as Generative Adversarial Networks and Image Synthesis, Advanced Neural Network Applications and Multimodal Machine Learning Applications.

ORCID 0000-0003-1040-3260 OpenAlex
World rank
#6,064
of 7,710,434 ranked researchers
Rank in Canada
#95
of 183,316
Works
406
Citations
33k
Citations per work
81.6
h-index
82
i10-index 211Top 0.2% in Computer Vision and Pattern Recognition
Sanja Fidler

What does Sanja Fidler research?

Sanja Fidler's work is mostly in Computer Science (73%), Engineering (14%).

Physical Sciences: 354 works · 87.3% of their workComputer Science: 298 works · 73.3% of their workComputer Vision and Pattern Recognition: 222 works · 54.6% of their workArtificial Intelligence: 50 works · 12.2% of their workComputer Graphics and Computer-Aided Design: 26 works · 6.5% of their workEngineering: 57 works · 14.0% of their workComputational Mechanics: 31 works · 7.6% of their workControl and Systems Engineering: 14 works · 3.4% of their workAerospace Engineering: 12 works · 3.0% of their workEverything else: 52 works · 12.7% of their workTHEIR WORKSanja Fidler406works
Physical Sciences87%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science29873.3%
    2. Engineering5714.0%
  2. Everything else5212.7%
  1. 1Computer Vision and Pattern Recognition55% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Computational Mechanics8% of their works
  4. 4Computer Graphics and Computer-Aided Design6% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Aerospace Engineering3% of their works

Research topics

Which keywords describe Sanja Fidler's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Unsupervised Learning, Convolutional Networks, Generative Adversarial Networks, Image Synthesis, Convolutional Neural Networks and Image Recognition.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Deep Learning4866 topics
  2. Neural Networks1832 topics
  3. Unsupervised Learning1662 topics
  4. Convolutional Networks1212 topics
  5. Generative Adversarial Networks961 topic
  6. Image Synthesis961 topic
  7. Convolutional Neural Networks921 topic
  8. Image Recognition921 topic
  9. Image Captioning871 topic
  10. Visual Question Answering871 topic
  11. Feature Matching811 topic
  12. Local Descriptors811 topic
  13. 3D Reconstruction791 topic
  14. Point Clouds791 topic
  15. Computer Graphics731 topic
  16. Visualization731 topic
  17. Depth Estimation701 topic
  18. Stereo Vision701 topic
  19. Action Recognition511 topic
  20. Pose Estimation511 topic

Where does Sanja Fidler work?

Sanja Fidler's main affiliation in the publication record is University of Toronto, Canada.

How many publications and citations does Sanja Fidler have?

OpenAlex counts 406 works and 33,119 citations for Sanja Fidler, an h-index of 82, ranking #6,064 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Sanja Fidler. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.