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Pascal Frossard

Active 1998–2026

567
Papers
28,512
Citations
59
h-index
248
i10-index

Citations

Citations per year for Pascal Frossard1989: 1 citations1990: 1 citations1991: 1 citations1994: 1 citations1997: 1 citations1998: 1 citations1999: 2 citations2000: 5 citations2001: 12 citations2002: 21 citations2003: 34 citations2004: 67 citations2005: 82 citations2006: 85 citations2007: 137 citations2008: 126 citations2009: 212 citations2010: 189 citations2011: 219 citations2012: 255 citations2013: 320 citations2014: 416 citations2015: 474 citations2016: 685 citations2017: 854 citations2018: 1,202 citations2019: 1,787 citations2020: 2,384 citations2021: 2,382 citations2022: 2,071 citations2023: 1,949 citations2024: 1,862 citations2025: 1,623 citations2026: 398 citations1992–1993: no citations, so these years are not shown1995–1996: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,972 citing papers, 25.3% of this breakdownUnited States: 3,997 citing papers, 20.3% of this breakdownUnited Kingdom: 966 citing papers, 4.9% of this breakdownFrance: 753 citing papers, 3.8% of this breakdownSwitzerland: 691 citing papers, 3.5% of this breakdownCanada: 628 citing papers, 3.2% of this breakdownAustralia: 597 citing papers, 3.1% of this breakdownGermany: 574 citing papers, 2.9% of this breakdownJapan: 537 citing papers, 2.7% of this breakdownIndia: 512 citing papers, 2.6% of this breakdownItaly: 505 citing papers, 2.6% of this breakdownSouth Korea: 492 citing papers, 2.5% of this breakdown
0%25.3%Other 22.6%

Institutions

Fields

  • Computer Science74.7%
  • Engineering12.7%
  • Physics and Astronomy2.8%
  • Neuroscience2.2%
  • Medicine1.5%
  • Biochemistry, Genetics and Molecular Biology1.4%
  • Other4.7%

Topics

  • Adversarial Robustness in Machine Learning10.5%
  • Anomaly Detection Techniques and Applications5.5%
  • Advanced Graph Neural Networks4.9%
  • Complex Network Analysis Techniques3.1%
  • Advanced Malware Detection Techniques2.5%
  • Advanced Neural Network Applications2.2%
  • Other71.3%

Coauthors

All papers

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  1. DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks

    Authors: Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 cited by 5,321

  2. The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains

    Authors: David I. Shuman, Sunil K. Narang, Pascal Frossard, Antonio Ortega, Pierre Vandergheynst - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2013 cited by 4,430

  3. Universal Adversarial Perturbations

    Authors: Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 cited by 2,710

  4. Graph Signal Processing: Overview, Challenges, and Applications

    Authors: Antonio Ortega, Pascal Frossard, Jelena Kovacevic, José M. F. Moura, Pierre Vandergheynst - IEEE, Proc. IEEE 2018 cited by 1,750

  5. DiGress: Discrete Denoising diffusion for graph generation

    Authors: Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard - ICLR 2023 cited by 671

  6. Equivariant 3D-conditional diffusion model for molecular linker design

    Authors: Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia - Nature Machine Intelligence, Nat. Mac. Intell. 2024 cited by 141

  7. Learning Graphs From Data: A Signal Representation Perspective

    Authors: Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2019 cited by 408

  8. Graph Signal Processing for Machine Learning: A Review and New Perspectives

    Authors: Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2020 cited by 199

  9. Dictionary Learning

    Authors: Ivana Tosic, Pascal Frossard - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2011 cited by 785

  10. Geometry-Consistent Light Field Super-Resolution via Graph-Based Regularization

    Authors: Mattia Rossi, Pascal Frossard - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2018 cited by 127

  11. Interpretable temporal-spatial graph attention network for multi-site PV power forecasting

    Authors: Jelena Simeunović, Baptiste Schubnel, Pierre‐Jean Alet, Rafael E. Carrillo, Pascal Frossard - Applied Energy 2022 cited by 72

  12. Localizing Task Information for Improved Model Merging and Compression

    Authors: Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard - ICML 2024 cited by 131

  13. Graph-Based Compression of Dynamic 3D Point Cloud Sequences

    Authors: Dorina Thanou, Philip A. Chou, Pascal Frossard - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2016 cited by 223

  14. Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

    Authors: Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst, Nikolai Nefedov - IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 cited by 219

  15. DeFoG: Discrete Flow Matching for Graph Generation

    Authors: Yiming Qin, Manuel Madeira, Dorina Thanou, Pascal Frossard - ICML 2025 cited by 72

  16. Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models

    Authors: Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard - NeurIPS 2023 cited by 240

  17. MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

    Authors: Clément Vignac, Nagham Osman, Laura Toni, Pascal Frossard - Lecture notes in computer science, ECML/PKDD (2) 2023 cited by 46

  18. Empirical Study of the Topology and Geometry of Deep Networks

    Authors: Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Stefano Soatto - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 cited by 124

  19. Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design

    Authors: Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia - arXiv (Cornell University), CoRR 2022 cited by 55

  20. iPool - Information-Based Pooling in Hierarchical Graph Neural Networks

    Authors: Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2021 cited by 46

  21. Geometric Robustness of Deep Networks: Analysis and Improvement

    Authors: Can Kanbak, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard - IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 cited by 117

  22. The Robustness of Deep Networks: A Geometrical Perspective

    Authors: Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2017 cited by 209

  23. Adaptive data augmentation for image classification

    Authors: Alhussein Fawzi, Horst Samulowitz, Deepak S. Turaga, Pascal Frossard - IEEE International Conference on Image Processing (ICIP) 2016 cited by 244

  24. Learning time varying graphs

    Authors: Vassilis Kalofolias, Andreas Loukas, Dorina Thanou, Pascal Frossard - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017 cited by 86