Joakim Bergdahl
Joakim Bergdahl publishes mostly in Artificial Intelligence, Sociology and Political Science and Economics and Econometrics, on topics such as Artificial Intelligence in Games, Reinforcement Learning in Robotics and Digital Games and Media.
- World rank
- #1,771,413 of 7,710,434 ranked researchers
- Rank in United States
- #545,334 of 1,627,098
- Works
- 27
- Citations
- 256
- Citations per work
- 9.5
What does Joakim Bergdahl research?
Joakim Bergdahl's work is mostly in Computer Science (63%), Social Sciences (8%), Economics, Econometrics and Finance (7%).
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
- Physical Sciences1865.7%
- Computer Science1763.0%
- Engineering12.7%
- Social Sciences621.8%
- Social Sciences28.2%
- Economics, Econometrics and Finance26.8%
- Psychology26.8%
- Everything else312.5%
- 1Artificial Intelligence59% of their works
- 2Sociology and Political Science8% of their works
- 3Economics and Econometrics7% of their works
- 4Developmental and Educational Psychology7% of their works
- 5Computer Vision and Pattern Recognition4% of their works
- 6Control and Systems Engineering3% of their works
Research topics
Which keywords describe Joakim Bergdahl's research?
The keywords of their largest research topics: Deep Learning, Monte Carlo Tree Search, Neural Networks, Procedural Content Generation, Reinforcement Learning, Robotics, Online Gaming and Video Games.
- Visual Question Answering
- Machine Learning Interpretability
- Image Captioning
- Prediction Markets
- Game-Based Learning
- Video Games
- Robotics
- Procedural Content Generation
- Monte Carlo Tree Search
- Deep Learning
- Neural Networks
- Reinforcement Learning
- Online Gaming
- Competitive Balance
- Gamification
- Control
- Interpretable Models
- Missile Guidance
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 18 words, with their numbers
- Deep Learning202 topics
- Monte Carlo Tree Search201 topic
- Neural Networks202 topics
- Procedural Content Generation201 topic
- Reinforcement Learning181 topic
- Robotics181 topic
- Online Gaming61 topic
- Video Games61 topic
- Competitive Balance51 topic
- Game-Based Learning51 topic
- Gamification51 topic
- Prediction Markets51 topic
- Control21 topic
- Image Captioning21 topic
- Interpretable Models21 topic
- Machine Learning Interpretability21 topic
- Missile Guidance21 topic
- Visual Question Answering21 topic
Where does Joakim Bergdahl work?
Joakim Bergdahl's main affiliation in the publication record is Electronic Arts (United States), United States.
How many publications and citations does Joakim Bergdahl have?
OpenAlex counts 27 works and 256 citations for Joakim Bergdahl, an h-index of 6, ranking #1,771,413 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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