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Researcher · McGill University · Canada

Doina Precup

Doina Precup publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, on topics such as Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research and Adversarial Robustness in Machine Learning.

World rank
#4,686
of 1,633,909 ranked researchers
Rank in Canada
#115
of 38,960
Works
129
Citations
2.2k
Citations per work
17.3

What does Doina Precup research?

Artificial Intelligence: 45.8%Computer Vision and Pattern Recognition: 8.5%Management Science and Operations Research: 6.8%Computational Theory and Mathematics: 5.1%other fields: 33.8%46%top field
Artificial Intelligence45.8%Computer Vision and Pattern Recognition8.5%Management Science and Operations Research6.8%Computational Theory and Mathematics5.1%other fields33.8%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence46% of their works
  2. 2Computer Vision and Pattern Recognition8% of their works
  3. 3Management Science and Operations Research7% of their works
  4. 4Computational Theory and Mathematics5% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Electrical and Electronic Engineering3% of their works

Research topics

Which keywords describe Doina Precup's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Reinforcement Learning, Robotics, Machine Learning, Bandit Optimization, Bayesian Optimization and Active Learning.

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. Deep Learning403 topics
  2. Neural Networks373 topics
  3. Reinforcement Learning261 topic
  4. Robotics261 topic
  5. Machine Learning193 topics
  6. Bandit Optimization81 topic
  7. Bayesian Optimization81 topic
  8. Active Learning71 topic
  9. Adversarial Examples71 topic
  10. Robustness71 topic
  11. Semi-Supervised Learning71 topic
  12. Classification51 topic
  13. Genetic Programming51 topic
  14. Bayesian Networks41 topic
  15. Causal Inference41 topic
  16. Interpretable Models41 topic
  17. Machine Learning Interpretability41 topic
  18. Machine Translation41 topic
  19. Word Representation41 topic

Where does Doina Precup work?

Doina Precup's main affiliation in the publication record is McGill University, Canada.

How many publications and citations does Doina Precup have?

Science Explorer counts 129 works and 2,236 citations for Doina Precup, ranking #4,686 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.