Kenshi Abe
Kenshi Abe publishes mostly in Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics, on topics such as Advanced Bandit Algorithms Research, Game Theory and Applications and Reinforcement Learning in Robotics.
- World rank
- #5,979,695 of 7,710,434 ranked researchers
- Rank in Japan
- #221,230 of 383,136
- Works
- 50
- Citations
- 44
- Citations per work
- 0.9
What does Kenshi Abe research?
Kenshi Abe's work is mostly in Computer Science (44%), Decision Sciences (33%), Economics, Econometrics and Finance (5%).
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 Sciences2243.5%
- Computer Science2243.5%
- Social Sciences2141.2%
- Decision Sciences1632.6%
- Economics, Econometrics and Finance24.7%
- Social Sciences23.9%
- Everything else815.3%
- 1Artificial Intelligence35% of their works
- 2Management Science and Operations Research33% of their works
- 3Economics and Econometrics5% of their works
- 4Computer Networks and Communications5% of their works
- 5Safety Research4% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
Which keywords describe Kenshi Abe's research?
The keywords of their largest research topics: Convex Optimization, Neural Networks, Bandit Optimization, Bayesian Optimization, Deep Learning, Game Theory, Network Formation and Reinforcement Learning.
- Statistical Machine Translation
- Neural Machine Translation
- Stochastic Gradient Descent
- Random Projections
- Economic Experiments
- Reinforcement Learning
- Game Theory
- Bayesian Optimization
- Neural Networks
- Convex Optimization
- Bandit Optimization
- Deep Learning
- Network Formation
- Robotics
- Machine Translation
- Social Preferences
- Word Representation
- Simulation Optimization
- Verification and Validation
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
- Convex Optimization242 topics
- Neural Networks223 topics
- Bandit Optimization191 topic
- Bayesian Optimization191 topic
- Deep Learning172 topics
- Game Theory131 topic
- Network Formation131 topic
- Reinforcement Learning121 topic
- Robotics121 topic
- Economic Experiments51 topic
- Machine Translation51 topic
- Random Projections51 topic
- Social Preferences51 topic
- Stochastic Gradient Descent51 topic
- Word Representation51 topic
- Neural Machine Translation41 topic
- Simulation Optimization41 topic
- Statistical Machine Translation41 topic
- Verification and Validation41 topic
Where does Kenshi Abe work?
Kenshi Abe's main affiliation in the publication record is CyberAgent (Japan), Japan.
How many publications and citations does Kenshi Abe have?
OpenAlex counts 50 works and 44 citations for Kenshi Abe, an h-index of 4, ranking #5,979,695 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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