Standout Papers

The psychometric function: I. Fitting, sampling, and goodness of fit 2001 2026 2009 2017 1.8k
  1. The psychometric function: I. Fitting, sampling, and goodness of fit (2001)
    Felix A. Wichmann, N. Jeremy Hill Perception & Psychophysics
  2. The psychometric function: II. Bootstrap-based confidence intervals and sampling (2001)
    Felix A. Wichmann, N. Jeremy Hill Perception & Psychophysics
  3. Shortcut learning in deep neural networks (2020)
    Robert Geirhos, Jörn-Henrik Jacobsen et al. Nature Machine Intelligence
  4. Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data (2016)
    Heiko H. Schütt, Stefan Harmeling et al. Vision Research

Immediate Impact

6 by Nobel laureates 17 from Science/Nature 56 standout
Sub-graph 1 of 22

Citing Papers

A vision–language foundation model for precision oncology
2025 StandoutNature
Can Generative AI improve social science?
2024 Standout
2 intermediate papers

Works of Felix A. Wichmann being referenced

Shortcut learning in deep neural networks
2020 Standout
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
2018

Author Peers

Author Last Decade Papers Cites
Felix A. Wichmann 4393 1034 454 966 114 6.0k
David C. Knill 4882 723 461 1103 71 6.0k
Barbara Anne Dosher 7186 729 259 1395 142 8.6k
Lloyd Kaufman 5707 535 627 1192 85 7.7k
Mary Hayhoe 6326 2221 311 927 161 8.6k
Michael S. Landy 5976 1095 888 1316 158 6.9k
Whitman Richards 4409 1054 638 587 99 5.7k
Frank Tong 7622 733 132 1336 113 8.3k
Irvin Rock 5855 1061 252 2003 102 7.9k
Jack L. Gallant 9719 1274 312 830 91 11.1k
Miguel P. Eckstein 3583 1535 156 596 218 5.3k

All Works

Loading papers...

Rankless by CCL
2026