Aurélien Bellet

6.6k total citations
27 papers, 390 citations indexed

About

Aurélien Bellet is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Aurélien Bellet has authored 27 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Aurélien Bellet's work include Speech Recognition and Synthesis (7 papers), Face and Expression Recognition (5 papers) and Topic Modeling (4 papers). Aurélien Bellet is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Face and Expression Recognition (5 papers) and Topic Modeling (4 papers). Aurélien Bellet collaborates with scholars based in France, United States and Japan. Aurélien Bellet's co-authors include Amaury Habrard, Marc Sebban, Fei Sha, Brij Mohan Lal Srivastava, Marc Tommasi, Emmanuel Vincent, Yuan Shi, Natalia Tomashenko, Xin Wang and Junichi Yamagishi and has published in prestigious journals such as Pattern Recognition, Neurocomputing and Machine Learning.

In The Last Decade

Aurélien Bellet

26 papers receiving 378 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aurélien Bellet France 12 250 133 86 25 24 27 390
Meng Pang China 11 135 0.5× 181 1.4× 77 0.9× 18 0.7× 19 0.8× 38 404
Huidong Liu China 9 164 0.7× 176 1.3× 21 0.2× 26 1.0× 29 1.2× 21 312
Tianyi Wei China 8 241 1.0× 571 4.3× 64 0.7× 8 0.3× 14 0.6× 19 748
A. Shanmugam India 10 51 0.2× 124 0.9× 43 0.5× 11 0.4× 22 0.9× 62 336
Ching‐Chun Chang Taiwan 15 108 0.4× 488 3.7× 73 0.8× 7 0.3× 56 2.3× 73 697
Sicheng Wang China 10 141 0.6× 78 0.6× 33 0.4× 8 0.3× 14 0.6× 38 331
Ibon Ruiz Spain 8 248 1.0× 31 0.2× 108 1.3× 10 0.4× 71 3.0× 40 411
Subhankar Ghosh India 9 258 1.0× 116 0.9× 25 0.3× 4 0.2× 21 0.9× 24 461
Ziyan Jiang China 2 382 1.5× 37 0.3× 250 2.9× 7 0.3× 12 0.5× 2 468
Amir Hanif Dar Pakistan 9 146 0.6× 130 1.0× 56 0.7× 10 0.4× 27 1.1× 14 338

Countries citing papers authored by Aurélien Bellet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Aurélien Bellet

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélien Bellet. A scholar is included among the top collaborators of Aurélien Bellet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aurélien Bellet. Aurélien Bellet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maheshwari, Gaurav, Aurélien Bellet, Pascal Denis, & Mikaela Keller. (2023). Fair Without Leveling Down: A New Intersectional Fairness Definition. 2 indexed citations
2.
Shamsabadi, Ali Shahin, Brij Mohan Lal Srivastava, Aurélien Bellet, et al.. (2023). Differentially Private Speaker Anonymization. Proceedings on Privacy Enhancing Technologies. 2023(1). 98–114. 18 indexed citations
3.
Bellet, Aurélien, et al.. (2022). PEPPER. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(3). 1–27. 13 indexed citations
4.
Srivastava, Brij Mohan Lal, et al.. (2022). Enhancing Speech Privacy with Slicing. Interspeech 2022. 5025–5029. 1 indexed citations
5.
Bellet, Aurélien, et al.. (2022). An accurate, scalable and verifiable protocol for federated differentially private averaging. Machine Learning. 111(11). 4249–4293. 4 indexed citations
6.
Paige, Brooks, James Bell, Aurélien Bellet, Adrià Gascón, & Daphne Ezer. (2021). Reconstructing Genotypes in Private Genomic Databases from Genetic Risk Scores. Journal of Computational Biology. 28(5). 435–451. 1 indexed citations
7.
Neglia, Giovanni, et al.. (2021). Federated Multi-Task Learning under a Mixture of Distributions. HAL (Le Centre pour la Communication Scientifique Directe). 9 indexed citations
8.
Bellet, Aurélien, et al.. (2020). Who Started This Rumor? Quantifying the Natural Differential Privacy of Gossip Protocols. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 18.
9.
Srivastava, Brij Mohan Lal, et al.. (2020). Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers. arXiv (Cornell University). 2802–2806. 1 indexed citations
10.
Srivastava, Brij Mohan Lal, Natalia Tomashenko, Xin Wang, et al.. (2020). Design Choices for X-Vector Based Speaker Anonymization. arXiv (Cornell University). 1713–1717. 31 indexed citations
11.
Bellet, Aurélien, et al.. (2018). A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images. 1478–1487. 4 indexed citations
12.
Liu, Kuan & Aurélien Bellet. (2018). Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds. Neurocomputing. 333. 185–199. 9 indexed citations
13.
Bellet, Aurélien, et al.. (2016). Learning discriminative tree edit similarities for linear classification—Application to melody recognition. Neurocomputing. 214. 155–161. 3 indexed citations
14.
Clémençon, Stéphan, et al.. (2015). Scalability of Stochastic Gradient Descent based on “Smart” Sampling Techniques. Procedia Computer Science. 53. 308–315. 2 indexed citations
15.
Bellet, Aurélien, Amaury Habrard, & Marc Sebban. (2015). Metric Learning. HAL (Le Centre pour la Communication Scientifique Directe). 9(1). 1–151. 39 indexed citations
16.
Bellet, Aurélien, et al.. (2014). Distributed Frank-Wolfe Algorithm: A Unified Framework for Communication-Efficient Sparse Learning.. arXiv (Cornell University). 4 indexed citations
17.
Bellet, Aurélien & Amaury Habrard. (2014). Robustness and generalization for metric learning. Neurocomputing. 151. 259–267. 51 indexed citations
18.
Shi, Yuan, Aurélien Bellet, & Fei Sha. (2014). Sparse Compositional Metric Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 46 indexed citations
19.
Bellet, Aurélien, Amaury Habrard, & Marc Sebban. (2012). Good edit similarity learning by loss minimization. Machine Learning. 89(1-2). 5–35. 22 indexed citations
20.
Cornelis, Guy R., et al.. (1972). Rotational Multiple Sequence Roentgenography of Intracranial Aneurysms. Acta Radiologica Diagnosis. 13(P1). 74–76. 26 indexed citations

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.

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