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

David J. Fleet

David J. Fleet publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, on topics such as Advanced Vision and Imaging, Human Pose and Action Recognition and Generative Adversarial Networks and Image Synthesis.

ORCID 0000-0003-0734-7114 OpenAlex
World rank
#27,839
of 7,710,434 ranked researchers
Rank in Canada
#670
of 183,316
Works
260
Citations
44k
Citations per work
169.8
h-index
72
i10-index 154Top 0.3% in Computer Vision and Pattern Recognition
David J. Fleet

What does David J. Fleet research?

David J. Fleet's work is mostly in Computer Science (51%), Engineering (7%), Neuroscience (5%).

Physical Sciences: 150 works · 57.7% of their workComputer Science: 132 works · 50.7% of their workComputer Vision and Pattern Recognition: 101 works · 39.0% of their workArtificial Intelligence: 30 works · 11.7% of their workEngineering: 18 works · 7.0% of their workBiomedical Engineering: 11 works · 4.1% of their workControl and Systems Engineering: 8 works · 2.9% of their workEverything else: 88 works · 33.9% of their workLife Sciences: 22 works · 8.4% of their workNeuroscience: 14 works · 5.3% of their workCognitive Neuroscience: 14 works · 5.3% of their workBiochemistry, Genetics and Molecular Biology: 8 works · 3.1% of their workStructural Biology: 8 works · 3.1% of their workTHEIR WORKDavid J. Fleet260works
Life Sciences8%Physical Sciences58%

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 Science13250.7%
    2. Engineering187.0%
  2. Everything else8833.9%
    1. Neuroscience145.3%
    2. Biochemistry, Genetics and Molecular Biology83.1%
  1. 1Computer Vision and Pattern Recognition39% of their works
  2. 2Artificial Intelligence12% of their works
  3. 3Cognitive Neuroscience5% of their works
  4. 4Biomedical Engineering4% of their works
  5. 5Structural Biology3% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe David J. Fleet's research?

The keywords of their largest research topics: Convolutional Networks, Deep Learning, Unsupervised Learning, Depth Estimation, Stereo Vision, Generative Adversarial Networks, Neural Networks and Action 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.

All 21 words, with their numbers
  1. Convolutional Networks1093 topics
  2. Deep Learning1054 topics
  3. Unsupervised Learning792 topics
  4. Depth Estimation511 topic
  5. Stereo Vision511 topic
  6. Generative Adversarial Networks502 topics
  7. Neural Networks502 topics
  8. Action Recognition361 topic
  9. Pose Estimation361 topic
  10. Image Inpainting281 topic
  11. Image Synthesis281 topic
  12. Cryo-Electron Microscopy221 topic
  13. Image221 topic
  14. Neural Processing221 topic
  15. Single-Particle Analysis221 topic
  16. Super-Resolution221 topic
  17. Visual Perception221 topic
  18. Character Animation191 topic
  19. Motion Synthesis191 topic
  20. Camera Calibration171 topic
  21. Structured Light171 topic

Where does David J. Fleet work?

David J. Fleet's main affiliation in the publication record is University of Toronto, Canada.

How many publications and citations does David J. Fleet have?

OpenAlex counts 260 works and 44,146 citations for David J. Fleet, an h-index of 72, ranking #27,839 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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 David J. Fleet. Posts are plain text and can be reported.