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Researcher · University of Toronto · Canada

Geoffrey E. Hinton

Geoffrey E. Hinton publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Neural Networks and Applications, Generative Adversarial Networks and Image Synthesis and Music and Audio Processing.

OpenAlex
World rank
#1,687
of 7,710,434 ranked researchers
Rank in Canada
#28
of 183,316
Works
374
Citations
454k
Citations per work
1214.5
h-index
137
i10-index 297Top 0.1% in Artificial Intelligence
Geoffrey E. Hinton

What does Geoffrey E. Hinton research?

Geoffrey E. Hinton's work is mostly in Computer Science (71%), Neuroscience (4%), Engineering (2%).

Physical Sciences: 283 works · 75.8% of their workComputer Science: 266 works · 71.2% of their workArtificial Intelligence: 144 works · 38.4% of their workComputer Vision and Pattern Recognition: 90 works · 24.1% of their workSignal Processing: 33 works · 8.7% of their workEngineering: 9 works · 2.4% of their workControl and Systems Engineering: 9 works · 2.4% of their workPhysics and Astronomy: 8 works · 2.2% of their workStatistical and Nonlinear Physics: 8 works · 2.2% of their workEverything else: 75 works · 20.0% of their workLife Sciences: 16 works · 4.2% of their workNeuroscience: 16 works · 4.2% of their workCognitive Neuroscience: 16 works · 4.2% of their workTHEIR WORKGeoffrey E.Hinton374works
Life Sciences4%Physical Sciences76%

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 Science26671.2%
    2. Engineering92.4%
    3. Physics and Astronomy82.2%
  2. Everything else7520.0%
    1. Neuroscience164.2%
  1. 1Artificial Intelligence38% of their works
  2. 2Computer Vision and Pattern Recognition24% of their works
  3. 3Signal Processing9% of their works
  4. 4Cognitive Neuroscience4% of their works
  5. 5Control and Systems Engineering2% of their works
  6. 6Statistical and Nonlinear Physics2% of their works

Research topics

Which keywords describe Geoffrey E. Hinton's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Representation Learning, Unsupervised Learning, Generative Adversarial Networks and Image Synthesis.

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 Learning2403 topics
  2. Neural Networks2273 topics
  3. Backpropagation Learning1221 topic
  4. Self-Organizing Maps1221 topic
  5. Representation Learning1142 topics
  6. Unsupervised Learning1142 topics
  7. Generative Adversarial Networks751 topic
  8. Image Synthesis751 topic
  9. Convolutional Neural Networks702 topics
  10. Audio Signal Classification431 topic
  11. Music Information Retrieval431 topic
  12. Domain Adaptation391 topic
  13. Transfer Learning391 topic
  14. Machine Translation301 topic
  15. Word Representation301 topic
  16. Acoustic Modeling271 topic
  17. Deep Neural Networks271 topic
  18. Cortical Networks211 topic
  19. Neuronal Oscillations211 topic
  20. Content-Based Image Retrieval201 topic
  21. Shape Matching201 topic

Where does Geoffrey E. Hinton work?

Geoffrey E. Hinton's main affiliation in the publication record is University of Toronto, Canada.

How many publications and citations does Geoffrey E. Hinton have?

OpenAlex counts 374 works and 454,240 citations for Geoffrey E. Hinton, an h-index of 137, ranking #1,687 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.

Other researchers named Geoffrey E. Hinton

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