Vladimir Vapnik
Vladimir Vapnik publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, on topics such as Neural Networks and Applications, Face and Expression Recognition and Machine Learning and Data Classification.
- World rank
- #13,171 of 1,633,909 ranked researchers
- Rank in United States
- #6,348 of 358,040
- Works
- 43
- Citations
- 5.4k
- Citations per work
- 126.0
What does Vladimir Vapnik research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence41% of their works
- 2Computer Vision and Pattern Recognition18% of their works
- 3Control and Systems Engineering7% of their works
- 4Molecular Biology6% of their works
- 5Computational Theory and Mathematics4% of their works
- 6Computational Mechanics4% of their works
Research topics
Which keywords describe Vladimir Vapnik's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Self-Organizing Maps, Feature Selection, Sparse Representation, Classification, Dimensionality Reduction and Face Recognition.
- Semi-Supervised Learning
- Optimization
- Independent Component Analysis
- Evolutionary Algorithms
- Active Learning
- Machine Learning
- Face Recognition
- Classification
- Feature Selection
- Neural Networks
- Deep Learning
- Self-Organizing Maps
- Sparse Representation
- Dimensionality Reduction
- Hyperparameter Optimization
- Noisy Labels
- Blind Separation
- Genetic Programming
- Model Predictive Control
- Parameter Estimation
- System Identification
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 21 words, with their numbers
- Deep Learning122 topics
- Neural Networks101 topic
- Self-Organizing Maps101 topic
- Feature Selection82 topics
- Sparse Representation82 topics
- Classification62 topics
- Dimensionality Reduction61 topic
- Face Recognition61 topic
- Hyperparameter Optimization41 topic
- Machine Learning42 topics
- Noisy Labels41 topic
- Active Learning21 topic
- Blind Separation21 topic
- Evolutionary Algorithms21 topic
- Genetic Programming21 topic
- Independent Component Analysis21 topic
- Model Predictive Control21 topic
- Optimization21 topic
- Parameter Estimation21 topic
- Semi-Supervised Learning21 topic
- System Identification21 topic
Where does Vladimir Vapnik work?
Vladimir Vapnik's main affiliation in the publication record is AT&T (United States), United States.
How many publications and citations does Vladimir Vapnik have?
Science Explorer counts 43 works and 5,416 citations for Vladimir Vapnik, ranking #13,171 of 1,633,909 researchers worldwide on the composite 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.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.