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Researcher · University of California, Berkeley · United States

John Canny

John Canny publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Robotic Path Planning Algorithms, Computational Geometry and Mesh Generation and Robotics and Sensor-Based Localization.

ORCID 0000-0002-7161-7927 OpenAlex
World rank
#5,621
of 1,633,909 ranked researchers
Rank in United States
#2,694
of 358,040
Works
98
Citations
1.7k
Citations per work
17.5

What does John Canny research?

Computer Vision and Pattern Recognition: 19.6%Artificial Intelligence: 19.6%Control and Systems Engineering: 9.5%Computer Graphics and Computer-Aided Design: 5.4%other fields: 45.9%20%top field
Computer Vision and Pattern Recognition19.6%Artificial Intelligence19.6%Control and Systems Engineering9.5%Computer Graphics and Computer-Aided Design5.4%other fields45.9%

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 Recognition20% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Control and Systems Engineering10% of their works
  4. 4Computer Graphics and Computer-Aided Design5% of their works
  5. 5Computational Theory and Mathematics5% of their works
  6. 6Mechanical Engineering4% of their works

Research topics

Which keywords describe John Canny's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Optimal Motion Planning, Sampling-Based Algorithms, Delaunay Triangulations, Mesh Generation, 3D Mapping and Grasping.

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 18 words, with their numbers
  1. Deep Learning112 topics
  2. Neural Networks82 topics
  3. Optimal Motion Planning81 topic
  4. Sampling-Based Algorithms81 topic
  5. Delaunay Triangulations71 topic
  6. Mesh Generation71 topic
  7. 3D Mapping61 topic
  8. Grasping61 topic
  9. Robot Learning61 topic
  10. SLAM61 topic
  11. Image Captioning51 topic
  12. Visual Question Answering51 topic
  13. Interpretable Models31 topic
  14. Machine Learning Interpretability31 topic
  15. Machine Translation31 topic
  16. Markov Decision Processes31 topic
  17. Spoken Dialogue Systems31 topic
  18. Word Representation31 topic

Where does John Canny work?

John Canny's main affiliation in the publication record is University of California, Berkeley, United States.

How many publications and citations does John Canny have?

Science Explorer counts 98 works and 1,712 citations for John Canny, ranking #5,621 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.