Standout Papers

Geometric Deep Learning: Going beyond Euclidean data 2013 2026 2017 2021 1.5k
  1. Geometric Deep Learning: Going beyond Euclidean data (2017)
    Michael M. Bronstein, Joan Bruna et al. IEEE Signal Processing Magazine
  2. Invariant Scattering Convolution Networks (2013)
    Joan Bruna, Stéphane Mallat IEEE Transactions on Pattern Analysis and Machine Intelligence

Immediate Impact

1 by Nobel laureates 13 from Science/Nature 93 standout
Sub-graph 1 of 18

Citing Papers

Rapid in silico directed evolution by a protein language model with EVOLVEpro
2024 StandoutScience
The STRING database in 2025: protein networks with directionality of regulation
2024 Standout
2 intermediate papers

Works of Joan Bruna being referenced

Geometric Deep Learning: Going beyond Euclidean data
2017 Standout

Author Peers

Author Last Decade Papers Cites
Joan Bruna 1040 315 928 401 34 2.7k
Arthur Szlam 1080 279 862 490 36 2.5k
David I Shuman 1385 755 606 234 19 2.6k
Sunil K. Narang 1269 693 570 201 19 2.6k
Lorenzo Rosasco 1248 204 652 663 125 2.9k
Daniel Hsu 1355 142 399 373 69 2.7k
Sergei Vassilvitskii 1481 227 927 151 36 3.6k
Genevieve Orr 1134 139 712 132 20 2.7k
Jonathan Masci 795 143 1122 410 18 2.4k
Suvrit Sra 878 103 645 495 90 2.2k
Kenji Fukumizu 1968 269 606 180 102 3.5k

All Works

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2026