Standout Papers

Support-vector networks 1995 2026 2005 2015 25.0k
  1. Support-vector networks (1995)
    Corinna Cortes, Vladimir Vapnik Machine Learning
  2. The Nature of Statistical Learning Theory (1995)
    Vladimir Vapnik CERN Document Server (European Organization for Nuclear Research)
  3. Support-Vector Networks (1995)
    Corinna Cortes, Vladimir Vapnik Machine Learning
  4. Statistical Learning Theory (1999)
    Vladimir Vapnik et al. Technometrics
  5. Gene Selection for Cancer Classification using Support Vector Machines (2002)
    Isabelle Guyon, Jason Weston et al. Machine Learning
  6. An overview of statistical learning theory (1999)
    Vladimir Vapnik IEEE Transactions on Neural Networks
  7. The Nature of Statistical Learning Theory (1996)
    Stephan R. Sain, Vladimir Vapnik Technometrics
  8. Support Vector Regression Machines (1996)
    Harris Drucker, Christopher J. C. Burges et al. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
  9. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing (1996)
    Vladimir Vapnik, Steven E. Golowich et al. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
  10. On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities (1971)
    Vladimir Vapnik, Alexey Chervonenkis Theory of Probability and Its Applications
  11. Choosing Multiple Parameters for Support Vector Machines (2002)
    Olivier Chapelle, Vladimir Vapnik et al. Machine Learning
  12. The Nature of Statistical Learning (1995)
    Vladimir Vapnik Medical Entomology and Zoology
  13. Comparing support vector machines with Gaussian kernels to radial basis function classifiers (1997)
    Bernhard Schölkopf, Chris Burges et al. IEEE Transactions on Signal Processing
  14. Estimation of Dependences Based on Empirical Data (2006)
    Vladimir Vapnik Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))
  15. Support vector machines for histogram-based image classification (1999)
    Olivier Chapelle, Patrick Haffner et al. IEEE Transactions on Neural Networks
  16. Pattern recognition using generalized portrait method (1963)
    Vladimir Vapnik Automation and Remote Control
  17. Support vector clustering (2002)
    Asa Ben‐Hur, D. Horn et al. Journal of Machine Learning Research
  18. Support vector machines for spam categorization (1999)
    Harris Drucker, Donghui Wu et al. IEEE Transactions on Neural Networks
  19. Feature Selection for SVMs (2000)
    Jason Weston, Sayan Mukherjee et al. UCL Discovery (University College London)
  20. Estimation of Dependences Based on Empirical Data. (1984)
    Vladimir Vapnik, Samuel Kotz et al. Journal of the Royal Statistical Society Series D (The Statistician)

Immediate Impact

9 by Nobel laureates 14 from Science/Nature 117 standout
Sub-graph 1 of 19

Citing Papers

Accurate predictions on small data with a tabular foundation model
2025 StandoutNature
Machine Learning Methods for Small Data Challenges in Molecular Science
2023 Standout
35 intermediate papers

Works of Vladimir Vapnik being referenced

Statistical Learning Theory
1999 Standout
Support-vector networks
1995 Standout
and 20 more

Author Peers

Author Last Decade Papers Cites
Vladimir Vapnik 36800 23069 9281 12869 69 107.3k
Leo Breiman 33402 10635 4513 13370 91 136.3k
Jerome H. Friedman 27492 9799 4347 14482 126 121.1k
Yann LeCun 32356 28495 4635 4906 101 94.7k
Yoshua Bengio 48245 36948 6702 6683 298 127.8k
Geoffrey E. Hinton 68735 53749 11299 12238 197 191.0k
Jürgen Schmidhuber 27051 13630 5673 3513 160 72.7k
Trevor Hastie 24188 11405 4793 29682 272 152.2k
Robert Tibshirani 26631 12351 5680 46625 380 181.1k
Sepp Hochreiter 18063 9499 3770 4486 84 52.4k
Bernhard Schölkopf 22843 16219 5690 7229 426 61.4k

All Works

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