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Researcher · Toyota Research Institute · ??

Pavel Tokmakov

Pavel Tokmakov publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery, on topics such as Human Pose and Action Recognition, Advanced Vision and Imaging and Video Surveillance and Tracking Methods.

ORCID 0000-0003-2043-6242 OpenAlex
World rank
#523,363
of 7,710,434 ranked researchers
Rank in ??
#606
of 21,892
Works
87
Citations
2.1k
Citations per work
24.5
h-index
15
i10-index 21Top 23% in Computer Vision and Pattern Recognition
Pavel Tokmakov

What does Pavel Tokmakov research?

Pavel Tokmakov's work is mostly in Computer Science (78%), Medicine (5%), Engineering (4%).

Physical Sciences: 71 works · 81.3% of their workComputer Science: 68 works · 77.7% of their workComputer Vision and Pattern Recognition: 52 works · 59.9% of their workArtificial Intelligence: 13 works · 15.4% of their workComputer Graphics and Computer-Aided Design: 2 works · 2.4% of their workEngineering: 3 works · 3.6% of their workControl and Systems Engineering: 3 works · 3.6% of their workEverything else: 12 works · 13.5% of their workHealth Sciences: 5 works · 5.2% of their workMedicine: 5 works · 5.2% of their workSurgery: 3 works · 3.6% of their workEpidemiology: 1 works · 1.6% of their workTHEIR WORKPavel Tokmakov87works
Physical Sciences81%Health Sciences5%

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 Science6877.7%
    2. Engineering33.6%
  2. Everything else1213.5%
    1. Medicine55.2%
  1. 1Computer Vision and Pattern Recognition60% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Surgery4% of their works
  4. 4Control and Systems Engineering4% of their works
  5. 5Computer Graphics and Computer-Aided Design2% of their works
  6. 6Epidemiology2% of their works

Research topics

Which keywords describe Pavel Tokmakov's research?

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

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 21 words, with their numbers
  1. Deep Learning1167 topics
  2. Convolutional Networks442 topics
  3. Neural Networks433 topics
  4. Convolutional Neural Networks362 topics
  5. Unsupervised Learning352 topics
  6. Action Recognition231 topic
  7. Pose Estimation231 topic
  8. Depth Estimation211 topic
  9. Object Tracking211 topic
  10. Stereo Vision211 topic
  11. Visual Tracking211 topic
  12. Image Captioning181 topic
  13. Visual Question Answering181 topic
  14. Image Recognition151 topic
  15. Object Detection151 topic
  16. Feature Matching141 topic
  17. Generative Adversarial Networks141 topic
  18. Image Synthesis141 topic
  19. Local Descriptors141 topic
  20. Saliency Detection111 topic
  21. Visual Attention111 topic

Where does Pavel Tokmakov work?

Pavel Tokmakov's main affiliation in the publication record is Toyota Research Institute, ??.

How many publications and citations does Pavel Tokmakov have?

OpenAlex counts 87 works and 2,128 citations for Pavel Tokmakov, an h-index of 15, ranking #523,363 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

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