Standout Papers

Making Large-Scale SVM Learning Practical 1999 2026 2008 2017 1.6k
  1. Making Large-Scale SVM Learning Practical (2006)
    Thorsten Joachims Technical reports
  2. Transductive Inference for Text Classification using Support Vector Machines (1999)
    Thorsten Joachims International Conference on Machine Learning
  3. Large Margin Methods for Structured and Interdependent Output Variables (2005)
    Ioannis Tsochantaridis, Thorsten Joachims et al. Journal of Machine Learning Research
  4. In Google We Trust: Users’ Decisions on Rank, Position, and Relevance (2007)
    Bing Pan, Helene Hembrooke et al. Journal of Computer-Mediated Communication

Immediate Impact

11 by Nobel laureates 30 from Science/Nature 80 standout
Sub-graph 1 of 21

Citing Papers

Computational approaches streamlining drug discovery
2023 StandoutNature
Harnessing multimodal data integration to advance precision oncology
2021 Standout
16 intermediate papers

Works of Thorsten Joachims being referenced

Deep Learning with Logged Bandit Feedback
2018
Composite Kernels for Hypertext Categorisation
2001
and 6 more

Author Peers

Author Last Decade Papers Cites
Thorsten Joachims 5005 575 1694 2658 89 8.8k
John Lafferty 7918 507 1510 2959 121 12.9k
Hinrich Schütze 6830 490 2445 1523 116 10.9k
William W. Cohen 4845 955 1846 1478 165 7.8k
Maosong Sun 5700 704 1395 1183 157 8.4k
C. Lee Giles 4625 746 2439 1462 213 10.7k
Zhiyuan Liu 6081 682 1589 1286 228 9.5k
Susan Dumais 8669 617 3800 2405 98 17.0k
Andrew McCallum 9820 879 2012 3031 131 14.8k
Bing Liu 6610 438 2781 1441 109 10.3k
Thomas G. Dietterich 5169 386 988 2175 121 9.4k

All Works

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Rankless by CCL
2026