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Researcher · University of British Columbia · Canada

Leonid Sigal

Leonid Sigal publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Human Pose and Action Recognition, Multimodal Machine Learning Applications and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0002-3942-2804 OpenAlex
World rank
#78,642
of 7,710,434 ranked researchers
Rank in Canada
#2,389
of 183,316
Works
276
Citations
11k
Citations per work
39.9
h-index
50
i10-index 122Top 1.2% in Computer Vision and Pattern Recognition
Leonid Sigal

What does Leonid Sigal research?

Leonid Sigal's work is mostly in Computer Science (81%), Engineering (7%).

Physical Sciences: 244 works · 88.5% of their workComputer Science: 225 works · 81.5% of their workComputer Vision and Pattern Recognition: 160 works · 58.0% of their workArtificial Intelligence: 58 works · 21.1% of their workSignal Processing: 7 works · 2.4% of their workEngineering: 19 works · 7.0% of their workControl and Systems Engineering: 7 works · 2.7% of their workComputational Mechanics: 7 works · 2.4% of their workBiomedical Engineering: 5 works · 1.9% of their workEverything else: 32 works · 11.5% of their workTHEIR WORKLeonid Sigal276works
Physical Sciences88%

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 Science22581.5%
    2. Engineering197.0%
  2. Everything else3211.5%
  1. 1Computer Vision and Pattern Recognition58% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Control and Systems Engineering3% of their works
  4. 4Signal Processing2% of their works
  5. 5Computational Mechanics2% of their works
  6. 6Biomedical Engineering2% of their works

Research topics

Which keywords describe Leonid Sigal's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Convolutional Networks, Representation Learning, Action Recognition, Pose Estimation and Image Captioning.

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. Deep Learning2935 topics
  2. Unsupervised Learning1303 topics
  3. Neural Networks1282 topics
  4. Convolutional Networks1272 topics
  5. Representation Learning962 topics
  6. Action Recognition931 topic
  7. Pose Estimation931 topic
  8. Image Captioning911 topic
  9. Visual Question Answering911 topic
  10. Domain Adaptation591 topic
  11. Transfer Learning591 topic
  12. Feature Matching441 topic
  13. Local Descriptors441 topic
  14. Content-Based Retrieval411 topic
  15. Video Summarization411 topic
  16. Generative Adversarial Networks371 topic
  17. Image Synthesis371 topic
  18. Depth Estimation341 topic
  19. Stereo Vision341 topic
  20. Object Tracking281 topic
  21. Visual Tracking281 topic

Where does Leonid Sigal work?

Leonid Sigal's main affiliation in the publication record is University of British Columbia, Canada.

How many publications and citations does Leonid Sigal have?

OpenAlex counts 276 works and 11,009 citations for Leonid Sigal, an h-index of 50, ranking #78,642 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.

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