Joan Bruna
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Graph Theory and Algorithms
- Human Pose and Action Recognition
Papers in
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- Advanced Graph Neural Networks 7
- Anomaly Detection Techniques and Applications 4
- Stochastic Gradient Optimization Techniques 4
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- Image and Signal Denoising Methods 9
- Co-authors
- Stéphane Mallat (6 shared papers)Yann LeCun (7 shared papers)Arthur Szlam (3 shared papers)Michael M. Bronstein (2 shared papers)Pierre Vandergheynst (1 shared paper)Alejandro Ribeiro (3 shared papers)Fernando Gama (3 shared papers)Brice Ménard (1 shared paper)
- Journals
- Journal of Computational Physics (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)The Annals of Statistics (1 paper)Journal of Machine Learning Research (1 paper)IEEE Signal Processing Magazine (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Joan Bruna
47 papers receiving 3.7k citations
Joan Bruna's Hit Papers
Peers
Comparison fields: 5 of 168
- Computer Vision and Pattern Recognition 1.4k
- Computer Graphics and Computer-Aided Design 182
- Artificial Intelligence 1.4k
- Statistical and Nonlinear Physics 395
- 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-authors
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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Geometric Deep Learning: Going beyond Euclidean data Hit paper breakdown → | 2017 | 1950 |
| 2 | Invariant Scattering Convolution Networks Hit paper breakdown → | 2013 | 951 |
| 3 | 2020 | 129 | |
| 4 | 2020 | 89 | |
| 5 | 2011 | 77 | |
| 6 | 2016 | 64 | |
| 7 | 2015 | 63 | |
| 8 | Supervised community detection with line graph neural networks | 2019 | 52 |
| 9 | 2018 | 51 | |
| 10 | 2015 | 39 | |
| 11 | 2018 | 32 | |
| 12 | 2022 | 32 | |
| 13 | 2018 | 32 | |
| 14 | Neural Message Passing for Jet Physics | 2017 | 25 |
| 15 | Community Detection with Graph Neural Networks | 2017 | 22 |
| 16 | 2023 | 21 | |
| 17 | 2021 | 16 | |
| 18 | 2019 | 16 | |
| 19 | Surface Networks | 2018 | 15 |
| 20 | 2021 | 12 |
About Joan Bruna
Joan Bruna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Mechanics and Computational Theory and Mathematics, having authored 49 papers that have together received 3.8k 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), Markov Chains and Monte Carlo Methods (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Stochastic Gradient Optimization Techniques (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 (395 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, Brice Ménard, Yuan-Sen Ting and Sihao Cheng. Their work appears in journals such as Journal of Computational Physics, Monthly Notices of the Royal Astronomical Society, The Annals of Statistics, Journal of Machine Learning Research and IEEE Signal Processing Magazine.
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.