Standout Papers

The Elements of Statistical Learning 1969 2026 1988 2007 14.3k
  1. The Elements of Statistical Learning (2001)
    Trevor Hastie, J. Friedman et al. Springer series in statistics
  2. Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent (2011)
    Noah Simon, J. Friedman et al. Journal of Statistical Software
  3. High-Energy Inelastice−pScattering at 6° and 10° (1969)
    E. D. Bloom, D. H. Coward et al. Physical Review Letters
  4. Observed Behavior of Highly Inelastic Electron-Proton Scattering (1969)
    M. Breidenbach, J. Friedman et al. Physical Review Letters
  5. Electron Scattering from Nuclear Targets and Quark Distributions in Nuclei (1983)
    A. Bodek, N. Giokaris et al. Physical Review Letters

Immediate Impact

13 by Nobel laureates 9 from Science/Nature 56 standout
Sub-graph 1 of 23

Citing Papers

Perspectives in machine learning for wildlife conservation
2022 Standout
Unsupervised Learning Methods for Molecular Simulation Data
2021 Standout

Works of J. Friedman being referenced

The Elements of Statistical Learning
2001 Standout

Author Peers

Author Last Decade Papers Cites
J. Friedman 2468 547 248 3950 2434 48 18.7k
N. Metropolis 1683 4692 519 2922 3210 69 26.4k
Edward Teller 1493 5090 270 2820 3266 110 26.4k
William T. Vetterling 1335 3449 540 1854 2374 55 26.8k
Brian P. Flannery 1389 3349 684 1870 2399 71 28.3k
Benoît B. Mandelbrot 676 2110 70 3325 2906 155 46.8k
Peter Grassberger 1198 2155 91 2642 2679 261 25.5k
Milton Abramowitz 2175 6947 283 2117 1075 28 35.5k
Hirotugu Akaike 662 304 110 4744 3541 77 48.4k
Donald W. Marquardt 548 1632 496 1510 2693 37 28.3k
Donald A. McQuarrie 3017 10813 426 1487 1842 108 33.7k

All Works

Loading papers...

Rankless by CCL
2026