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Researcher · OpenAI (United States) · United States

Kamal Ndousse

Kamal Ndousse publishes mostly in Artificial Intelligence, Safety Research and Sociology and Political Science, on topics such as Topic Modeling, Natural Language Processing Techniques and Reinforcement Learning in Robotics.

OpenAlex
World rank
#2,979,820
of 7,710,434 ranked researchers
Rank in United States
#856,426
of 1,627,098
Works
20
Citations
1.9k
Citations per work
96.7
h-index
15
i10-index 15Top 22% in Artificial Intelligence
Kamal Ndousse

What does Kamal Ndousse research?

Kamal Ndousse's work is mostly in Computer Science (78%), Social Sciences (12%), Decision Sciences (2%).

Physical Sciences: 16 works · 78.4% of their workComputer Science: 16 works · 78.4% of their workArtificial Intelligence: 14 works · 72.5% of their workComputer Vision and Pattern Recognition: 1 works · 3.9% of their workComputer Networks and Communications: 0 works · 2.0% of their workSocial Sciences: 3 works · 13.7% of their workSocial Sciences: 2 works · 11.7% of their workSafety Research: 2 works · 7.8% of their workSociology and Political Science: 1 works · 3.9% of their workDecision Sciences: 0 works · 2.0% of their workInformation Systems and Management: 0 works · 2.0% of their workEverything else: 2 works · 7.9% of their workTHEIR WORKKamal Ndousse20works
Physical Sciences78%Social Sciences14%

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 Science1678.4%
    1. Social Sciences211.7%
    2. Decision Sciences02.0%
  3. Everything else27.9%
  1. 1Artificial Intelligence72% of their works
  2. 2Safety Research8% of their works
  3. 3Sociology and Political Science4% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Computer Networks and Communications2% of their works
  6. 6Information Systems and Management2% of their works

Research topics

Which keywords describe Kamal Ndousse's research?

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

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 19 words, with their numbers
  1. Neural Networks184 topics
  2. Deep Learning93 topics
  3. Machine Translation91 topic
  4. Word Representation91 topic
  5. Machine Learning62 topics
  6. Interpretable Models51 topic
  7. Machine Learning Interpretability51 topic
  8. Neural Machine Translation51 topic
  9. Reinforcement Learning51 topic
  10. Robotics51 topic
  11. Statistical Machine Translation51 topic
  12. Classification31 topic
  13. Ethics31 topic
  14. Fairness31 topic
  15. Genetic Programming31 topic
  16. Backpropagation Learning21 topic
  17. Image Captioning21 topic
  18. Self-Organizing Maps21 topic
  19. Visual Question Answering21 topic

Where does Kamal Ndousse work?

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

How many publications and citations does Kamal Ndousse have?

OpenAlex counts 20 works and 1,933 citations for Kamal Ndousse, an h-index of 15, ranking #2,979,820 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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