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Researcher · Microsoft Research (United Kingdom) · United Kingdom

Jamie Shotton

Jamie Shotton publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, on topics such as Human Pose and Action Recognition, Advanced Vision and Imaging and Robotics and Sensor-Based Localization.

OpenAlex
World rank
#28,538
of 1,633,909 ranked researchers
Rank in United Kingdom
#2,657
of 90,785
Works
34
Citations
2.3k
Citations per work
66.8

What does Jamie Shotton research?

Computer Vision and Pattern Recognition: 51.9%Artificial Intelligence: 11.1%Aerospace Engineering: 7.4%Human-Computer Interaction: 5.6%other fields: 24.0%52%top field
Computer Vision and Pattern Recognition51.9%Artificial Intelligence11.1%Aerospace Engineering7.4%Human-Computer Interaction5.6%other fields24.0%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Computer Vision and Pattern Recognition52% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Aerospace Engineering7% of their works
  4. 4Human-Computer Interaction6% of their works
  5. 5Control and Systems Engineering6% of their works
  6. 6Computational Mechanics4% of their works

Research topics

Which keywords describe Jamie Shotton's research?

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

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 Learning195 topics
  2. Convolutional Networks142 topics
  3. Action Recognition91 topic
  4. Pose Estimation91 topic
  5. Convolutional Neural Networks52 topics
  6. Depth Estimation51 topic
  7. Neural Networks52 topics
  8. Real-time Tracking52 topics
  9. Stereo Vision51 topic
  10. 3D Mapping41 topic
  11. SLAM41 topic
  12. Gesture Recognition31 topic
  13. Human-Computer Interaction31 topic
  14. Image Recognition31 topic
  15. Object Detection31 topic
  16. Backpropagation Learning21 topic
  17. Hyperparameter Optimization21 topic
  18. Noisy Labels21 topic
  19. Object Tracking21 topic
  20. Self-Organizing Maps21 topic
  21. Visual Tracking21 topic

Where does Jamie Shotton work?

Jamie Shotton's main affiliation in the publication record is Microsoft Research (United Kingdom), United Kingdom.

How many publications and citations does Jamie Shotton have?

Science Explorer counts 34 works and 2,270 citations for Jamie Shotton, ranking #28,538 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.