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Researcher · AT&T (United States) · United States

Vladimir N. Vapnik

Vladimir N. 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 Algorithms.

OpenAlex
World rank
#13,186
of 7,710,434 ranked researchers
Rank in United States
#4,596
of 1,627,098
Works
146
Citations
227k
Citations per work
1554.1
h-index
69
i10-index 106Top 0.3% in Artificial Intelligence
Vladimir N. Vapnik

What does Vladimir N. Vapnik research?

Vladimir N. Vapnik's work is mostly in Computer Science (67%), Engineering (10%), Mathematics (4%).

Physical Sciences: 120 works · 82.1% of their workComputer Science: 98 works · 67.3% of their workArtificial Intelligence: 66 works · 44.9% of their workComputer Vision and Pattern Recognition: 26 works · 17.5% of their workSignal Processing: 5 works · 3.3% of their workComputational Theory and Mathematics: 2 works · 1.6% of their workEngineering: 15 works · 10.4% of their workControl and Systems Engineering: 15 works · 10.4% of their workMathematics: 6 works · 4.4% of their workStatistics and Probability: 6 works · 4.4% of their workEverything else: 26 works · 17.9% of their workTHEIR WORKVladimir N.Vapnik146works
Physical Sciences82%

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
    1. Computer Science9867.3%
    2. Engineering1510.4%
    3. Mathematics64.4%
  2. Everything else2617.9%
  1. 1Artificial Intelligence45% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Control and Systems Engineering10% of their works
  4. 4Statistics and Probability4% of their works
  5. 5Signal Processing3% of their works
  6. 6Computational Theory and Mathematics2% of their works

Research topics

Which keywords describe Vladimir N. Vapnik's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Backpropagation Learning, Self-Organizing Maps, Sparse Representation, Dimensionality Reduction, Face Recognition and Active Learning.

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 20 words, with their numbers
  1. Deep Learning912 topics
  2. Neural Networks762 topics
  3. Backpropagation Learning691 topic
  4. Self-Organizing Maps691 topic
  5. Sparse Representation482 topics
  6. Dimensionality Reduction391 topic
  7. Face Recognition391 topic
  8. Active Learning221 topic
  9. Machine Learning221 topic
  10. Classification172 topics
  11. Parameter Estimation151 topic
  12. System Identification151 topic
  13. Fuzzy Controller101 topic
  14. Hyperparameter Optimization101 topic
  15. Noisy Labels101 topic
  16. Redundant Transmission101 topic
  17. Blind Separation91 topic
  18. Independent Component Analysis91 topic
  19. Extreme Learning Machine71 topic
  20. Feedforward Networks71 topic

Where does Vladimir N. Vapnik work?

Vladimir N. Vapnik's main affiliation in the publication record is AT&T (United States), United States.

How many publications and citations does Vladimir N. Vapnik have?

OpenAlex counts 146 works and 226,898 citations for Vladimir N. Vapnik, an h-index of 69, ranking #13,186 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.

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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