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Researcher · The University of Texas at Austin · United States

Gregory Kuhlmann

Gregory Kuhlmann publishes mostly in Artificial Intelligence, General Health Professions and Biomedical Engineering, on topics such as Reinforcement Learning in Robotics, Artificial Intelligence in Games and Robotic Locomotion and Control.

OpenAlex
World rank
#1,392,807
of 7,710,434 ranked researchers
Rank in United States
#440,122
of 1,627,098
Works
19
Citations
978
Citations per work
51.5
h-index
11
i10-index 12Top 37% in Artificial Intelligence
Gregory Kuhlmann

What does Gregory Kuhlmann research?

Gregory Kuhlmann's work is mostly in Computer Science (47%), Engineering (9%), Health Professions (7%).

Physical Sciences: 11 works · 59.7% of their workComputer Science: 9 works · 47.4% of their workArtificial Intelligence: 9 works · 47.4% of their workEngineering: 2 works · 8.8% of their workBiomedical Engineering: 1 works · 5.3% of their workControl and Systems Engineering: 1 works · 3.5% of their workEnvironmental Science: 1 works · 3.5% of their workEcology: 1 works · 3.5% of their workEverything else: 6 works · 29.8% of their workHealth Sciences: 1 works · 7.0% of their workHealth Professions: 1 works · 7.0% of their workGeneral Health Professions: 1 works · 7.0% of their workSocial Sciences: 1 works · 3.5% of their workEconomics, Econometrics and Finance: 1 works · 3.5% of their workEconomics and Econometrics: 1 works · 3.5% of their workTHEIR WORKGregory Kuhlmann19works
Physical Sciences60%Health Sciences7%Social Sciences4%

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 Science947.4%
    2. Engineering28.8%
    3. Environmental Science13.5%
  2. Everything else629.8%
    1. Health Professions17.0%
    1. Economics, Econometrics and Finance13.5%
  1. 1Artificial Intelligence47% of their works
  2. 2General Health Professions7% of their works
  3. 3Biomedical Engineering5% of their works
  4. 4Control and Systems Engineering4% of their works
  5. 5Ecology4% of their works
  6. 6Economics and Econometrics4% of their works

Research topics

Which keywords describe Gregory Kuhlmann's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Robotics, Autonomous Control, Reinforcement Learning, Monte Carlo Tree Search, Procedural Content Generation and Machine 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 20 words, with their numbers
  1. Deep Learning154 topics
  2. Neural Networks112 topics
  3. Robotics112 topics
  4. Autonomous Control91 topic
  5. Reinforcement Learning91 topic
  6. Monte Carlo Tree Search71 topic
  7. Procedural Content Generation71 topic
  8. Machine Learning42 topics
  9. Bipedal Locomotion31 topic
  10. Dynamic Walking31 topic
  11. 3D Mapping21 topic
  12. Active Learning21 topic
  13. Adversarial Examples21 topic
  14. Concept Drift21 topic
  15. Data Streams21 topic
  16. Grasping21 topic
  17. Robot Learning21 topic
  18. Robustness21 topic
  19. SLAM21 topic
  20. Semi-Supervised Learning21 topic

Where does Gregory Kuhlmann work?

Gregory Kuhlmann's main affiliation in the publication record is The University of Texas at Austin, United States.

How many publications and citations does Gregory Kuhlmann have?

OpenAlex counts 19 works and 978 citations for Gregory Kuhlmann, an h-index of 11, ranking #1,392,807 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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