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Researcher · New York University · United States

Philip Bontrager

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

ORCID 0000-0002-1011-2976 OpenAlex
World rank
#1,489,529
of 7,710,434 ranked researchers
Rank in United States
#467,288
of 1,627,098
Works
24
Citations
565
Citations per work
23.5
h-index
10
i10-index 11Top 42% in Artificial Intelligence
Philip Bontrager

What does Philip Bontrager research?

Philip Bontrager's work is mostly in Computer Science (68%), Social Sciences (17%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 17 works · 72.7% of their workComputer Science: 16 works · 68.2% of their workArtificial Intelligence: 11 works · 43.9% of their workComputer Vision and Pattern Recognition: 4 works · 15.2% of their workSignal Processing: 2 works · 9.1% of their workEngineering: 1 works · 4.5% of their workControl and Systems Engineering: 1 works · 4.5% of their workSocial Sciences: 4 works · 16.7% of their workSocial Sciences: 4 works · 16.7% of their workSociology and Political Science: 4 works · 16.7% of their workEverything else: 1 works · 6.1% of their workLife Sciences: 1 works · 4.5% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.5% of their workGenetics: 1 works · 4.5% of their workTHEIR WORKPhilip Bontrager24works
Life Sciences4%Physical Sciences73%Social Sciences17%

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 Science1668.2%
    2. Engineering14.5%
    1. Social Sciences416.7%
  3. Everything else16.1%
    1. Biochemistry, Genetics and Molecular Biology14.5%
  1. 1Artificial Intelligence44% of their works
  2. 2Sociology and Political Science17% of their works
  3. 3Computer Vision and Pattern Recognition15% of their works
  4. 4Signal Processing9% of their works
  5. 5Control and Systems Engineering4% of their works
  6. 6Genetics4% of their works

Research topics

Which keywords describe Philip Bontrager's research?

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

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 17 words, with their numbers
  1. Deep Learning163 topics
  2. Monte Carlo Tree Search131 topic
  3. Procedural Content Generation131 topic
  4. Neural Networks101 topic
  5. Online Gaming101 topic
  6. Reinforcement Learning101 topic
  7. Video Games101 topic
  8. Ancient DNA31 topic
  9. Biometric Recognition31 topic
  10. Digital Forensics31 topic
  11. Genetic Programming31 topic
  12. Genomic Analysis31 topic
  13. Grasping31 topic
  14. Image Forgery Detection31 topic
  15. Machine Learning31 topic
  16. Robot Learning31 topic
  17. Security31 topic

Where does Philip Bontrager work?

Philip Bontrager's main affiliation in the publication record is New York University, United States.

How many publications and citations does Philip Bontrager have?

OpenAlex counts 24 works and 565 citations for Philip Bontrager, an h-index of 10, ranking #1,489,529 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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