Mikhail Smelyanskiy
Mikhail Smelyanskiy publishes mostly in Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, on topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies and Distributed and Parallel Computing Systems.
- World rank
- #199,066 of 7,710,434 ranked researchers
- Rank in United States
- #73,932 of 1,627,098
- Works
- 96
- Citations
- 4.9k
- Citations per work
- 51.4
What does Mikhail Smelyanskiy research?
Mikhail Smelyanskiy's work is mostly in Computer Science (73%), Engineering (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 Sciences7578.2%
- Computer Science7073.0%
- Engineering55.2%
- Everything else2121.8%
- 1Computer Networks and Communications26% of their works
- 2Hardware and Architecture23% of their works
- 3Artificial Intelligence14% of their works
- 4Information Systems6% of their works
- 5Computational Mechanics5% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
Which keywords describe Mikhail Smelyanskiy's research?
The keywords of their largest research topics: Parallel Computing, High-Performance Computing, GPU Computing, Performance Optimization, Distributed Storage, Network Coding, Deep Learning and Distributed Systems.
- Matrix Computations
- Image Recognition
- Caching
- Interconnection Networks
- Random Projections
- Distributed Systems
- Network Coding
- Performance Optimization
- High-Performance Computing
- Parallel Computing
- GPU Computing
- Distributed Storage
- Deep Learning
- Grid Computing
- Stochastic Gradient Descent
- Networks on Chip
- Convolutional Neural Networks
- Information-Centric Networking
- Numerical Linear Algebra
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
- Parallel Computing933 topics
- High-Performance Computing732 topics
- GPU Computing541 topic
- Performance Optimization541 topic
- Distributed Storage321 topic
- Network Coding321 topic
- Deep Learning252 topics
- Distributed Systems191 topic
- Grid Computing191 topic
- Random Projections181 topic
- Stochastic Gradient Descent181 topic
- Interconnection Networks111 topic
- Networks on Chip111 topic
- Caching71 topic
- Convolutional Neural Networks71 topic
- Image Recognition71 topic
- Information-Centric Networking71 topic
- Matrix Computations71 topic
- Numerical Linear Algebra71 topic
Where does Mikhail Smelyanskiy work?
Mikhail Smelyanskiy's main affiliation in the publication record is Intel (United States), United States.
How many publications and citations does Mikhail Smelyanskiy have?
OpenAlex counts 96 works and 4,937 citations for Mikhail Smelyanskiy, an h-index of 32, ranking #199,066 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.
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