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Researcher · OpenAI (United States) · United States

Chris Olah

Chris Olah publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, on topics such as Topic Modeling, Adversarial Robustness in Machine Learning and Explainable Artificial Intelligence (XAI).

OpenAlex
World rank
#889,030
of 7,710,434 ranked researchers
Rank in United States
#293,690
of 1,627,098
Works
34
Citations
15k
Citations per work
437.1
h-index
20
i10-index 26Top 13% in Artificial Intelligence
Chris Olah

What does Chris Olah research?

Chris Olah's work is mostly in Computer Science (58%), Neuroscience (5%), Social Sciences (4%).

Physical Sciences: 21 works · 61.3% of their workComputer Science: 20 works · 58.2% of their workArtificial Intelligence: 15 works · 42.9% of their workComputer Vision and Pattern Recognition: 5 works · 15.3% of their workEngineering: 1 works · 3.1% of their workElectrical and Electronic Engineering: 1 works · 3.1% of their workEverything else: 9 works · 26.4% of their workSocial Sciences: 2 works · 7.2% of their workSocial Sciences: 1 works · 4.1% of their workGeneral Social Sciences: 1 works · 4.1% of their workDecision Sciences: 1 works · 3.1% of their workInformation Systems and Management: 1 works · 3.1% of their workLife Sciences: 2 works · 5.1% of their workNeuroscience: 2 works · 5.1% of their workCognitive Neuroscience: 2 works · 5.1% of their workTHEIR WORKChris Olah34works
Life Sciences5%Physical Sciences61%Social Sciences7%

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 Science2058.2%
    2. Engineering13.1%
  2. Everything else926.4%
    1. Social Sciences14.1%
    2. Decision Sciences13.1%
    1. Neuroscience25.1%
  1. 1Artificial Intelligence43% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Cognitive Neuroscience5% of their works
  4. 4General Social Sciences4% of their works
  5. 5Electrical and Electronic Engineering3% of their works
  6. 6Information Systems and Management3% of their works

Research topics

Which keywords describe Chris Olah's research?

The keywords of their largest research topics: Neural Networks, Topic Modeling, Deep Learning, Machine Learning, Machine Translation, Word Representation, Adversarial Examples and Interpretable Models.

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. Neural Networks173 topics
  2. Topic Modeling112 topics
  3. Deep Learning102 topics
  4. Machine Learning102 topics
  5. Machine Translation71 topic
  6. Word Representation71 topic
  7. Adversarial Examples61 topic
  8. Interpretable Models61 topic
  9. Machine Learning Interpretability61 topic
  10. Robustness61 topic
  11. Unsupervised Learning62 topics
  12. Neural Machine Translation51 topic
  13. Statistical Machine Translation51 topic
  14. Backpropagation Learning41 topic
  15. Computational Text Analysis41 topic
  16. Self-Organizing Maps41 topic
  17. Social Science Research41 topic
  18. Depth Estimation31 topic
  19. Domain Adaptation31 topic
  20. Stereo Vision31 topic
  21. Transfer Learning31 topic

Where does Chris Olah work?

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

How many publications and citations does Chris Olah have?

OpenAlex counts 34 works and 14,862 citations for Chris Olah, an h-index of 20, ranking #889,030 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.

Discussion

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