Shivaram Kalyanakrishnan
Shivaram Kalyanakrishnan publishes mostly in Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, on topics such as Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research and Machine Learning and Algorithms.
- World rank
- #1,480,782 of 7,710,434 ranked researchers
- Rank in India
- #23,321 of 280,097
- Works
- 63
- Citations
- 1.1k
- Citations per work
- 18.0
What does Shivaram Kalyanakrishnan research?
Shivaram Kalyanakrishnan's work is mostly in Computer Science (51%), Decision Sciences (18%), Engineering (13%).
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 Sciences4164.3%
- Computer Science3251.1%
- Engineering813.2%
- Everything else1118.1%
- Social Sciences1117.6%
- Decision Sciences1117.6%
- 1Artificial Intelligence38% of their works
- 2Management Science and Operations Research18% of their works
- 3Computer Networks and Communications8% of their works
- 4Biomedical Engineering7% of their works
- 5Control and Systems Engineering7% of their works
- 6Computational Theory and Mathematics6% of their works
Research topics
Which keywords describe Shivaram Kalyanakrishnan's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Reinforcement Learning, Machine Learning, Bandit Optimization, Bayesian Optimization, Active Learning and Semi-Supervised Learning.
- Procedural Content Generation
- Mechanism Design
- Genetic Programming
- Dynamic Walking
- Online Algorithms
- Semi-Supervised Learning
- Bayesian Optimization
- Machine Learning
- Neural Networks
- Deep Learning
- Reinforcement Learning
- Bandit Optimization
- Active Learning
- Mobile Robots
- Bipedal Locomotion
- Classification
- Auction Theory
- Monte Carlo Tree Search
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 18 words, with their numbers
- Deep Learning412 topics
- Neural Networks271 topic
- Reinforcement Learning271 topic
- Machine Learning222 topics
- Bandit Optimization171 topic
- Bayesian Optimization171 topic
- Active Learning141 topic
- Semi-Supervised Learning141 topic
- Mobile Robots131 topic
- Online Algorithms131 topic
- Bipedal Locomotion91 topic
- Dynamic Walking91 topic
- Classification81 topic
- Genetic Programming81 topic
- Auction Theory71 topic
- Mechanism Design71 topic
- Monte Carlo Tree Search61 topic
- Procedural Content Generation61 topic
Where does Shivaram Kalyanakrishnan work?
Shivaram Kalyanakrishnan's main affiliation in the publication record is Indian Institute of Technology Bombay, India.
How many publications and citations does Shivaram Kalyanakrishnan have?
OpenAlex counts 63 works and 1,133 citations for Shivaram Kalyanakrishnan, an h-index of 15, ranking #1,480,782 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.
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