Michael Kearns
Michael Kearns publishes mostly in Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics, on topics such as Machine Learning and Algorithms, Auction Theory and Applications and Game Theory and Applications.
- World rank
- #9,478 of 1,633,909 ranked researchers
- Rank in United States
- #4,570 of 358,040
- Works
- 78
- Citations
- 1.2k
- Citations per work
- 15.7
What does Michael Kearns research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence38% of their works
- 2Management Science and Operations Research17% of their works
- 3Statistical and Nonlinear Physics9% of their works
- 4Economics and Econometrics8% of their works
- 5Sociology and Political Science5% of their works
- 6Safety Research4% of their works
Research topics
Which keywords describe Michael Kearns's research?
The keywords of their largest research topics: Deep Learning, Machine Learning, Active Learning, Network Dynamics, Semi-Supervised Learning, Social Influence, Neural Networks and Auction Theory.
- Adversarial Examples
- Federated Learning
- Community Structure
- Reinforcement Learning
- Bounded Confidence
- Mechanism Design
- Auction Theory
- Social Influence
- Network Dynamics
- Machine Learning
- Deep Learning
- Active Learning
- Semi-Supervised Learning
- Neural Networks
- Game Theory
- Network Formation
- Opinion Dynamics
- Robotics
- Differential Privacy
- Scale-Free Networks
- Robustness
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
- Deep Learning173 topics
- Machine Learning163 topics
- Active Learning91 topic
- Network Dynamics92 topics
- Semi-Supervised Learning91 topic
- Social Influence92 topics
- Neural Networks82 topics
- Auction Theory71 topic
- Game Theory71 topic
- Mechanism Design71 topic
- Network Formation71 topic
- Bounded Confidence51 topic
- Opinion Dynamics51 topic
- Reinforcement Learning51 topic
- Robotics51 topic
- Community Structure41 topic
- Differential Privacy41 topic
- Federated Learning41 topic
- Scale-Free Networks41 topic
- Adversarial Examples31 topic
- Robustness31 topic
Where does Michael Kearns work?
Michael Kearns's main affiliation in the publication record is University of Pennsylvania, United States.
How many publications and citations does Michael Kearns have?
Science Explorer counts 78 works and 1,225 citations for Michael Kearns, ranking #9,478 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.