Standout Papers

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs 2017 2026 2020 2023 779
  1. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs (2017)
    Federico Monti, Davide Boscaini et al. IRIS Research product catalog (Sapienza University of Rome)
  2. Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning (2019)
    Pablo Gaínza, Freyr Sverrisson et al. Nature Methods

Immediate Impact

2 by Nobel laureates 6 from Science/Nature 57 standout
Sub-graph 1 of 22

Citing Papers

Artificial intelligence in drug development
2025 Standout
Targeting protein–ligand neosurfaces with a generalizable deep learning tool
2025 StandoutNature

Works of Davide Boscaini being referenced

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning
2019 Standout

Author Peers

Author Last Decade Papers Cites
Davide Boscaini 545 376 30 450 378 18 1.5k
Federico Monti 464 180 20 518 412 12 1.5k
R.A. Jarvis 588 113 82 259 156 33 1.7k
Facundo Mémoli 541 516 20 153 168 53 1.7k
Alex Bronstein 1038 507 42 210 172 65 1.7k
C. T. Zahn 1030 90 77 553 116 20 2.0k
David K. Hammond 376 198 14 495 127 16 1.3k
Danilo Jimenez Rezende 735 84 37 1050 93 33 2.1k
S. V. N. Vishwanathan 719 173 14 1169 301 50 2.0k
Sebastian Nowozin 744 217 31 873 58 49 1.8k
Naga K. Govindaraju 614 269 20 320 68 32 2.0k

All Works

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2026