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Researcher · OpenAI (United States) · United States

Alec Radford

Alec Radford publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Topic Modeling, Generative Adversarial Networks and Image Synthesis and Natural Language Processing Techniques.

OpenAlex
World rank
#3,025,664
of 7,710,434 ranked researchers
Rank in United States
#867,465
of 1,627,098
Works
32
Citations
25k
Citations per work
783.5
h-index
22
i10-index 25Top 10% in Artificial Intelligence
Alec Radford

What does Alec Radford research?

Alec Radford's work is mostly in Computer Science (90%), Materials Science (2%), Medicine (1%).

Physical Sciences: 29 works · 92.0% of their workComputer Science: 29 works · 89.8% of their workArtificial Intelligence: 15 works · 48.3% of their workComputer Vision and Pattern Recognition: 11 works · 33.7% of their workSignal Processing: 2 works · 5.6% of their workInformation Systems: 1 works · 2.2% of their workMaterials Science: 1 works · 2.2% of their workMaterials Chemistry: 1 works · 2.2% of their workEverything else: 2 works · 6.9% of their workHealth Sciences: 0 works · 1.1% of their workMedicine: 0 works · 1.1% of their workEndocrinology, Diabetes and Metabolism: 0 works · 1.1% of their workTHEIR WORKAlec Radford32works
Physical Sciences92%Health Sciences1%

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 Science2989.8%
    2. Materials Science12.2%
  2. Everything else26.9%
    1. Medicine01.1%
  1. 1Artificial Intelligence48% of their works
  2. 2Computer Vision and Pattern Recognition34% of their works
  3. 3Signal Processing6% of their works
  4. 4Materials Chemistry2% of their works
  5. 5Information Systems2% of their works
  6. 6Endocrinology, Diabetes and Metabolism1% of their works

Research topics

Which keywords describe Alec Radford's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Representation Learning, Unsupervised Learning, Machine Translation, Word Representation, 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 20 words, with their numbers
  1. Neural Networks375 topics
  2. Deep Learning275 topics
  3. Representation Learning172 topics
  4. Unsupervised Learning172 topics
  5. Machine Translation131 topic
  6. Word Representation131 topic
  7. Generative Adversarial Networks101 topic
  8. Image Synthesis101 topic
  9. Image Captioning91 topic
  10. Neural Machine Translation91 topic
  11. Statistical Machine Translation91 topic
  12. Visual Question Answering91 topic
  13. Domain Adaptation71 topic
  14. Transfer Learning71 topic
  15. Adversarial Examples31 topic
  16. Convolutional Neural Networks31 topic
  17. Image Recognition31 topic
  18. Robustness31 topic
  19. Backpropagation Learning21 topic
  20. Self-Organizing Maps21 topic

Where does Alec Radford work?

Alec Radford's main affiliation in the publication record is OpenAI (United States), United States.

How many publications and citations does Alec Radford have?

OpenAlex counts 32 works and 25,072 citations for Alec Radford, an h-index of 22, ranking #3,025,664 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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