Standout Papers

Human-level control through deep reinforcement learning 2015 2026 2018 2022 13.1k
  1. Human-level control through deep reinforcement learning (2015)
    Volodymyr Mnih, Koray Kavukcuoglu et al. Nature
  2. Improved protein structure prediction using potentials from deep learning (2020)
    Andrew Senior, K Taki et al. Nature
  3. Pushing the frontiers of density functionals by solving the fractional electron problem (2021)
    James Kirkpatrick, David H. P. Turban et al. Science
  4. Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) (2019)
    Andrew Senior, K Taki et al. Proteins Structure Function and Bioinformatics

Immediate Impact

39 by Nobel laureates 44 from Science/Nature 73 standout
Sub-graph 1 of 18

Citing Papers

A foundation model for the Earth system
2025 StandoutNature
Quantum error correction of qudits beyond break-even
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1 intermediate paper

Works of Stig Petersen being referenced

Human-level control through deep reinforcement learning
2015 StandoutNatureNobel

Author Peers

Author Last Decade Papers Cites
Stig Petersen 1613 822 323 5600 3012 5 15.4k
Laurent Sifre 1887 1108 459 6535 2110 8 14.8k
Ioannis Antonoglou 775 769 716 11624 4959 6 25.7k
Arthur Guez 569 616 474 7044 2424 15 14.4k
Julian Schrittwieser 548 614 450 6343 2068 6 12.8k
Georg Ostrovski 286 200 324 6399 3269 9 14.8k
Kenneth V. Price 776 421 399 8765 3328 4 19.9k
James Kennedy 610 259 327 7074 3880 12 18.1k
Andrei A. Rusu 288 192 328 7332 3163 9 16.0k
Aja Huang 483 548 403 5552 1875 4 11.3k
Amrit Pratap 736 467 493 7044 4474 4 27.8k

All Works

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2026