Joan Bruna
Impact in
-
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Graph Theory and Algorithms
- Human Pose and Action Recognition
Papers in
- Co-authors
- Stéphane MallatYann LeCunArthur SzlamMichael M. BronsteinPierre VandergheynstAlejandro RibeiroFernando GamaSihao Cheng
- Journals
- IEEE Signal Processing Magazine (1 paper)The Annals of Statistics (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)Journal of Computational Physics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Joan Bruna
46 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 1.4k
- Computer Graphics and Computer-Aided Design 182
- Artificial Intelligence 1.4k
- Statistical and Nonlinear Physics 382
- Computational Mathematics 17
Countries citing papers authored by Joan Bruna
This map shows the geographic impact of Joan Bruna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joan Bruna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Bruna more than expected).
Fields of papers citing papers by Joan Bruna
This network shows the impact of papers produced by Joan Bruna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joan Bruna. The network helps show where Joan Bruna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joan Bruna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 16 | |
| 2 | On Graph Neural Networks versus Graph-Augmented MLPs | 2021 | 1 |
| 3 | 2021 | 11 | |
| 4 | On the Sample Complexity of Learning under Geometric Stability | 2021 | 4 |
| 5 | Pure and Spurious Critical Points: a Geometric Study of Linear Networks | 2020 | 3 |
| 6 | A mean-field analysis of two-player zero-sum games | 2020 | 1 |
| 7 | Neuron birth-death dynamics accelerates gradient descent and converges asymptotically | 2019 | 2 |
| 8 | Gradient Dynamics of Shallow Univariate ReLU Networks | 2019 | 4 |
| 9 | On the Expressive Power of Deep Polynomial Neural Networks | 2019 | 5 |
| 10 | Supervised community detection with line graph neural networks | 2019 | 52 |
| 11 | Stability of Graph Scattering Transforms | 2019 | 12 |
| 12 | Divide and Conquer Networks | 2018 | 2 |
| 13 | Surface Networks | 2018 | 15 |
| 14 | Neural Message Passing for Jet Physics | 2017 | 22 |
| 15 | Community Detection with Graph Neural Networks | 2017 | 22 |
| 16 | Supervised Community Detection with Hierarchical Graph Neural Networks | 2017 | 2 |
| 17 | Divide and Conquer with Neural Networks | 2017 | 1 |
| 18 | Topology and Geometry of Deep Rectified Network Optimization Landscapes | 2016 | 5 |
| 19 | Unsupervised Feature Learning from Temporal Data | 2015 | 2 |
| 20 | Learning Stable Group Invariant Representations with Convolutional Networks | 2013 | 8 |
About Joan Bruna
Joan Bruna is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 47 papers that have together received 3.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (9 papers), Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (6 papers), Topological and Geometric Data Analysis (5 papers), 3D Shape Modeling and Analysis (5 papers), Machine Learning and Algorithms (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Computer Graphics and Computer-Aided Design (182 citations), Artificial Intelligence (1.4k citations), Statistical and Nonlinear Physics (382 citations) and Computational Mathematics (17 citations). Joan Bruna has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Stéphane Mallat, Yann LeCun, Arthur Szlam, Michael M. Bronstein, Pierre Vandergheynst, Alejandro Ribeiro, Fernando Gama, Sihao Cheng, Brice Ménard and Yuan-Sen Ting. Their work appears in journals such as IEEE Signal Processing Magazine, The Annals of Statistics, Monthly Notices of the Royal Astronomical Society, Journal of Computational Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.