Aurélien Bellet
Impact in
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Privacy-Preserving Technologies in Data
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Algorithms
- Natural Language Processing Techniques
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 7
- Topic Modeling 5
- Privacy-Preserving Technologies in Data 4
- Hate Speech and Cyberbullying Detection 3
- Stochastic Gradient Optimization Techniques 3
-
- Face and Expression Recognition 7
- Co-authors
- Amaury Habrard (11 shared papers)Marc Sebban (11 shared papers)Emmanuel Vincent (7 shared papers)Marc Tommasi (7 shared papers)Brij Mohan Lal Srivastava (7 shared papers)Fei Sha (3 shared papers)Yuan Shi (1 shared paper)Natalia Tomashenko (2 shared papers)
- Journals
- Synthesis lectures on artificial intelligence and machine learning (6 papers)Machine Learning (4 papers)Neurocomputing (3 papers)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Pattern Recognition (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Aurélien Bellet
31 papers receiving 432 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 291
- Signal Processing 95
- Computer Vision and Pattern Recognition 152
- Statistics and Probability 13
- Computer Science Applications 9
Countries citing papers authored by Aurélien Bellet
This map shows the geographic impact of Aurélien Bellet'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 Aurélien Bellet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Bellet more than expected).
Fields of papers citing papers by Aurélien Bellet
This network shows the impact of papers produced by Aurélien Bellet. 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 Aurélien Bellet. The network helps show where Aurélien Bellet may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurélien Bellet, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 52 | |
| 2 | 2015 | 48 | |
| 3 | 2014 | 47 | |
| 4 | 2015 | 40 | |
| 5 | 2020 | 34 | |
| 6 | 2019 | 27 | |
| 7 | 2012 | 26 | |
| 8 | 2022 | 26 | |
| 9 | 1972 | 25 | |
| 10 | 2023 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2018 | 13 | |
| 13 | 2020 | 12 | |
| 14 | Federated Multi-Task Learning under a Mixture of Distributions | 2021 | 10 |
| 15 | 2011 | 9 | |
| 16 | 2018 | 6 | |
| 17 | Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning. | 2014 | 4 |
| 18 | 2014 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2018 | 4 |
About Aurélien Bellet
Aurélien Bellet is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Computational Mechanics, having authored 34 papers that have together received 444 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Speech Recognition and Synthesis (7 papers), Topic Modeling (5 papers), Privacy-Preserving Technologies in Data (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Data Quality and Management (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (291 citations), Signal Processing (95 citations), Computer Vision and Pattern Recognition (152 citations), Statistics and Probability (13 citations) and Computer Science Applications (9 citations). Aurélien Bellet has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Amaury Habrard, Marc Sebban, Emmanuel Vincent, Marc Tommasi, Brij Mohan Lal Srivastava, Fei Sha, Yuan Shi, Natalia Tomashenko, Kuan Liu and Xin Wang. Their work appears in journals such as Synthesis lectures on artificial intelligence and machine learning, Machine Learning, Neurocomputing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Pattern Recognition.
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.