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Researcher · Electronic Arts (United States) · United States

Linus Gisslén

Linus Gisslén publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science, on topics such as Artificial Intelligence in Games, Reinforcement Learning in Robotics and Digital Games and Media.

OpenAlex
World rank
#2,003,595
of 7,710,434 ranked researchers
Rank in United States
#608,197
of 1,627,098
Works
39
Citations
312
Citations per work
8.0
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Linus Gisslén

What does Linus Gisslén research?

Linus Gisslén's work is mostly in Computer Science (65%), Social Sciences (7%), Economics, Econometrics and Finance (4%).

Physical Sciences: 25 works · 64.6% of their workComputer Science: 25 works · 64.6% of their workArtificial Intelligence: 20 works · 52.2% of their workComputer Vision and Pattern Recognition: 4 works · 9.7% of their workHuman-Computer Interaction: 1 works · 2.7% of their workEverything else: 8 works · 19.5% of their workSocial Sciences: 6 works · 15.9% of their workSocial Sciences: 3 works · 7.1% of their workSociology and Political Science: 3 works · 7.1% of their workEconomics, Econometrics and Finance: 2 works · 4.4% of their workEconomics and Econometrics: 2 works · 4.4% of their workPsychology: 2 works · 4.4% of their workDevelopmental and Educational Psychology: 2 works · 4.4% of their workTHEIR WORKLinus Gisslén39works
Physical Sciences65%Social Sciences16%

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 Science2564.6%
  2. Everything else819.5%
    1. Social Sciences37.1%
    2. Economics, Econometrics and Finance24.4%
    3. Psychology24.4%
  1. 1Artificial Intelligence52% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Sociology and Political Science7% of their works
  4. 4Economics and Econometrics4% of their works
  5. 5Developmental and Educational Psychology4% of their works
  6. 6Human-Computer Interaction3% of their works

Research topics

Which keywords describe Linus Gisslén's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Monte Carlo Tree Search, Procedural Content Generation, Reinforcement Learning, Robotics, Online Gaming and Video Games.

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
  1. Deep Learning272 topics
  2. Neural Networks272 topics
  3. Monte Carlo Tree Search261 topic
  4. Procedural Content Generation261 topic
  5. Reinforcement Learning241 topic
  6. Robotics241 topic
  7. Online Gaming81 topic
  8. Video Games81 topic
  9. Competitive Balance51 topic
  10. Game-Based Learning51 topic
  11. Gamification51 topic
  12. Prediction Markets51 topic
  13. Automated Testing31 topic
  14. Image Captioning31 topic
  15. Interpretable Models31 topic
  16. Machine Learning Interpretability31 topic
  17. Software Fault Localization31 topic
  18. Visual Question Answering31 topic

Where does Linus Gisslén work?

Linus Gisslén's main affiliation in the publication record is Electronic Arts (United States), United States.

How many publications and citations does Linus Gisslén have?

OpenAlex counts 39 works and 312 citations for Linus Gisslén, an h-index of 9, ranking #2,003,595 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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