Ravi Kumar
Ravi Kumar publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, on topics such as Privacy-Preserving Technologies in Data, Cryptography and Data Security and Complexity and Algorithms in Graphs.
- World rank
- #78,175 of 7,710,434 ranked researchers
- Rank in United States
- #30,143 of 1,627,098
- Works
- 276
- Citations
- 13k
- Citations per work
- 47.1
What does Ravi Kumar research?
Ravi Kumar's work is mostly in Computer Science (65%), Decision Sciences (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 Sciences18065.3%
- Computer Science18065.3%
- Everything else8329.9%
- Social Sciences134.8%
- Decision Sciences134.8%
- 1Artificial Intelligence38% of their works
- 2Computer Networks and Communications10% of their works
- 3Computational Theory and Mathematics9% of their works
- 4Management Science and Operations Research5% of their works
- 5Computer Vision and Pattern Recognition5% of their works
- 6Signal Processing4% of their works
Research topics
Which keywords describe Ravi Kumar's research?
The keywords of their largest research topics: Machine Learning, Differential Privacy, Federated Learning, Homomorphic Encryption, Identity-Based Encryption, Approximation Algorithms, Combinatorial Optimization and Mobile Robots.
- Compression
- Community Structure
- GPS Trajectories
- Active Learning
- Mobile Robots
- Approximation Algorithms
- Homomorphic Encryption
- Differential Privacy
- Machine Learning
- Federated Learning
- Identity-Based Encryption
- Combinatorial Optimization
- Online Algorithms
- Semi-Supervised Learning
- Trajectory Data Mining
- Network Dynamics
- Suffix Arrays
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 17 words, with their numbers
- Machine Learning792 topics
- Differential Privacy481 topic
- Federated Learning481 topic
- Homomorphic Encryption471 topic
- Identity-Based Encryption471 topic
- Approximation Algorithms451 topic
- Combinatorial Optimization451 topic
- Mobile Robots341 topic
- Online Algorithms341 topic
- Active Learning311 topic
- Semi-Supervised Learning311 topic
- GPS Trajectories261 topic
- Trajectory Data Mining261 topic
- Community Structure171 topic
- Network Dynamics171 topic
- Compression161 topic
- Suffix Arrays161 topic
Where does Ravi Kumar work?
Ravi Kumar's main affiliation in the publication record is Google (United States), United States.
How many publications and citations does Ravi Kumar have?
OpenAlex counts 276 works and 12,994 citations for Ravi Kumar, an h-index of 56, ranking #78,175 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.
Other researchers named Ravi Kumar
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