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Researcher · Research Institute for System Studies · Russia

Mikhail V. Donskoy

Mikhail V. Donskoy publishes mostly in Artificial Intelligence, Developmental and Educational Psychology and Economics and Econometrics, on topics such as Artificial Intelligence in Games, Sports Analytics and Performance and Educational Games and Gamification.

ORCID 0009-0007-1757-4683 OpenAlex
World rank
#5,114,713
of 7,710,434 ranked researchers
Rank in Russia
#37,754
of 179,717
Works
15
Citations
115
Citations per work
7.7
h-index
5
i10-index 3Top 82% in Artificial Intelligence
Mikhail V. Donskoy

What does Mikhail V. Donskoy research?

Mikhail V. Donskoy's work is mostly in Computer Science (43%), Economics, Econometrics and Finance (10%), Psychology (10%).

Physical Sciences: 7 works · 43.4% of their workComputer Science: 7 works · 43.4% of their workArtificial Intelligence: 6 works · 36.7% of their workComputer Networks and Communications: 1 works · 6.7% of their workSocial Sciences: 4 works · 26.7% of their workEconomics, Econometrics and Finance: 2 works · 10.0% of their workEconomics and Econometrics: 2 works · 10.0% of their workPsychology: 2 works · 10.0% of their workDevelopmental and Educational Psychology: 2 works · 10.0% of their workSocial Sciences: 1 works · 6.7% of their workSociology and Political Science: 1 works · 6.7% of their workEverything else: 3 works · 23.2% of their workHealth Sciences: 1 works · 6.7% of their workMedicine: 1 works · 6.7% of their workOncology: 1 works · 6.7% of their workTHEIR WORKMikhail V.Donskoy15works
Physical Sciences43%Health Sciences7%Social Sciences27%

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 Science743.4%
    1. Economics, Econometrics and Finance210.0%
    2. Psychology210.0%
    3. Social Sciences16.7%
  3. Everything else323.2%
    1. Medicine16.7%
  1. 1Artificial Intelligence37% of their works
  2. 2Developmental and Educational Psychology10% of their works
  3. 3Economics and Econometrics10% of their works
  4. 4Computer Networks and Communications7% of their works
  5. 5Sociology and Political Science7% of their works
  6. 6Oncology7% of their works

Research topics

Which keywords describe Mikhail V. Donskoy's research?

The keywords of their largest research topics: Monte Carlo Tree Search, Procedural Content Generation, Competitive Balance, Game-Based Learning, Gamification, Prediction Markets, Algorithmic Information Theory and Computability.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 16 words, with their numbers
  1. Monte Carlo Tree Search101 topic
  2. Procedural Content Generation101 topic
  3. Competitive Balance31 topic
  4. Game-Based Learning31 topic
  5. Gamification31 topic
  6. Prediction Markets31 topic
  7. Algorithmic Information Theory11 topic
  8. Computability11 topic
  9. Continuous Queries11 topic
  10. Data Stream Management11 topic
  11. GPS Trajectories11 topic
  12. Mobile Robots11 topic
  13. Neural Machine Translation11 topic
  14. Online Algorithms11 topic
  15. Statistical Machine Translation11 topic
  16. Trajectory Data Mining11 topic

Where does Mikhail V. Donskoy work?

Mikhail V. Donskoy's main affiliation in the publication record is Research Institute for System Studies, Russia.

How many publications and citations does Mikhail V. Donskoy have?

OpenAlex counts 15 works and 115 citations for Mikhail V. Donskoy, an h-index of 5, ranking #5,114,713 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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