Aurélien Mayoue
Impact in
- Signal Processing top 10%
- Biometric Identification and Security
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image and Signal Denoising Methods
Papers in
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- Privacy-Preserving Technologies in Data 5
- Cryptography and Data Security 3
- Internet Traffic Analysis and Secure E-voting 2
- Advanced Text Analysis Techniques 1
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- Bacillus and Francisella bacterial research 1
- Co-authors
- Cédric Gouy‐Pailler (4 shared papers)Renaud Sirdey (1 shared paper)David Mercier (1 shared paper)Jérôme Mars (1 shared paper)Quentin Barthélemy (1 shared paper)Mohamed Moustafa (1 shared paper)Valentín Cardeñoso-Payo (1 shared paper)Alisher Kholmatov (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (1 paper)Pattern Recognition (1 paper)SPIRE - Sciences Po Institutional REpository (4 papers)2022 International Joint Conference on Neural Networks (IJCNN) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (2 papers)
- Partner nations
- FranceUnited KingdomJapan
In The Last Decade
Aurélien Mayoue
9 papers receiving 148 citations
Peers
Comparison fields: 5 of 38
- Signal Processing 47
- Computer Vision and Pattern Recognition 73
- Artificial Intelligence 71
- Human-Computer Interaction 11
- Information Systems 44
Countries citing papers authored by Aurélien Mayoue
This map shows the geographic impact of Aurélien Mayoue'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 Mayoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Mayoue more than expected).
Fields of papers citing papers by Aurélien Mayoue
This network shows the impact of papers produced by Aurélien Mayoue. 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 Mayoue. The network helps show where Aurélien Mayoue may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurélien Mayoue, 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 | 2011 | 59 | |
| 2 | 2021 | 45 | |
| 3 | 2012 | 31 | |
| 4 | 2008 | 7 | |
| 5 | 2022 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2013 | 1 | |
| 10 | 2024 | 0 |
About Aurélien Mayoue
Aurélien Mayoue is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing and Automotive Engineering, having authored 10 papers that have together received 151 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Advanced Chemical Sensor Technologies (1 paper), Speech and Audio Processing (1 paper), Advanced Text Analysis Techniques (1 paper), Vehicle Dynamics and Control Systems (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Signal Processing (47 citations), Computer Vision and Pattern Recognition (73 citations), Artificial Intelligence (71 citations), Human-Computer Interaction (11 citations) and Information Systems (44 citations). Aurélien Mayoue has collaborated with scholars based in France, United Kingdom and Japan. Frequent co-authors include Cédric Gouy‐Pailler, Renaud Sirdey, David Mercier, Jérôme Mars, Quentin Barthélemy, Mohamed Moustafa, Valentín Cardeñoso-Payo, Alisher Kholmatov, Berrin Yanıkoğlu and Julián Fiérrez. Their work appears in journals such as IEEE Transactions on Signal Processing, Pattern Recognition, SPIRE - Sciences Po Institutional REpository, 2022 International Joint Conference on Neural Networks (IJCNN) and HAL (Le Centre pour la Communication Scientifique Directe).
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.