Jason Rupert
Jason Rupert publishes mostly in Artificial Intelligence, Control and Systems Engineering and Aerospace Engineering, on topics such as Reinforcement Learning in Robotics, Artificial Intelligence in Games and Dynamics and Control of Mechanical Systems.
- World rank
- #4,226,895 of 7,710,434 ranked researchers
- Rank in United States
- #1,139,938 of 1,627,098
- Works
- 23
- Citations
- 112
- Citations per work
- 4.9
What does Jason Rupert research?
Jason Rupert's work is mostly in Engineering (37%), Computer Science (19%), Physics and Astronomy (8%).
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 Sciences1563.5%
- Engineering836.6%
- Computer Science419.0%
- Physics and Astronomy27.9%
- Everything else731.7%
- Social Sciences14.8%
- Decision Sciences14.8%
- 1Artificial Intelligence19% of their works
- 2Control and Systems Engineering18% of their works
- 3Aerospace Engineering14% of their works
- 4Astronomy and Astrophysics8% of their works
- 5Ocean Engineering5% of their works
- 6Statistics, Probability and Uncertainty5% of their works
Research topics
Which keywords describe Jason Rupert's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Monte Carlo Tree Search, Procedural Content Generation, Reinforcement Learning, Robotics and Flexible Manipulators.
- Genetic Programming
- Adversarial Examples
- Terrestrial Planets
- Simulation Optimization
- Ring Laser Gyroscope
- Flexible Manipulators
- Reinforcement Learning
- Monte Carlo Tree Search
- Neural Networks
- Deep Learning
- Machine Learning
- Procedural Content Generation
- Robotics
- Multibody Dynamics
- Rotational Seismology
- Solar System Abundances
- Verification and Validation
- Classification
- Robustness
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 19 words, with their numbers
- Deep Learning62 topics
- Neural Networks62 topics
- Machine Learning42 topics
- Monte Carlo Tree Search41 topic
- Procedural Content Generation41 topic
- Reinforcement Learning41 topic
- Robotics41 topic
- Flexible Manipulators31 topic
- Multibody Dynamics31 topic
- Ring Laser Gyroscope31 topic
- Rotational Seismology31 topic
- Simulation Optimization31 topic
- Solar System Abundances31 topic
- Terrestrial Planets31 topic
- Verification and Validation31 topic
- Adversarial Examples21 topic
- Classification21 topic
- Genetic Programming21 topic
- Robustness21 topic
Where does Jason Rupert work?
Jason Rupert's main affiliation in the publication record is Dynetics (United States), United States.
How many publications and citations does Jason Rupert have?
OpenAlex counts 23 works and 112 citations for Jason Rupert, an h-index of 5, ranking #4,226,895 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.
Discussion
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