Standout Papers

A Tutorial on Support Vector Machines for Pattern Recognition 1996 2026 2006 2016 8.7k
  1. A Tutorial on Support Vector Machines for Pattern Recognition (1998)
    Christopher J. C. Burges Data Mining and Knowledge Discovery
  2. Advances in kernel methods: support vector learning (1999)
    Bernhard Schölkopf, Christopher J. C. Burges et al. International Conference on Neural Information Processing
  3. Support Vector Regression Machines (1996)
    Harris Drucker, Christopher J. C. Burges et al. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)
  4. Input space versus feature space in kernel-based methods (1999)
    Bernhard Schölkopf, Mika Sirén et al. IEEE Transactions on Neural Networks

Immediate Impact

14 by Nobel laureates 18 from Science/Nature 72 standout
Sub-graph 1 of 20

Citing Papers

Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
2021 Standout
Fully hardware-implemented memristor convolutional neural network
2020 StandoutNature
12 intermediate papers

Works of Christopher J. C. Burges being referenced

Improving the Accuracy and Speed of Support Vector Machines
1996
Multi-Digit Recognition Using a Space Displacement Neural Network
1991
and 4 more

Author Peers

Author Last Decade Papers Cites
Christopher J. C. Burges 5770 4492 1633 1702 21 16.2k
Alexander J. Smola 7780 6058 1666 1819 57 17.8k
N. M. Laird 9434 3656 2972 2547 31 30.7k
Chih-Chung Chang 6308 5891 1783 2690 8 21.1k
Sam T. Roweis 6307 7872 1739 1447 45 17.7k
Nitish Srivastava 7032 5044 1482 1234 9 18.5k
Richard O. Duda 5788 6966 2396 969 49 17.5k
Laurens van der Maaten 8629 6756 1952 4074 36 23.2k
Yoav Freund 9552 4584 1182 1904 55 20.0k
Ronald J. Williams 9318 3094 1398 1214 41 22.3k
Peter E. Hart 9974 8593 2563 1809 69 27.3k

All Works

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Rankless by CCL
2026