Benjamin Ricaud
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- Complex Network Analysis Techniques 8
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 7
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- Image and Signal Denoising Methods 5
- Music Technology and Sound Studies 2
- Signal Processing top 10%
- Speech and Audio Processing 4
- Music and Audio Processing 3
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- Mathematical Analysis and Transform Methods 4
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- Sparse and Compressive Sensing Techniques 3
Benjamin Ricaud
24 papers receiving 617 citations
Peers
Comparison fields: 5 of 92
- Statistical and Nonlinear Physics 218
- Artificial Intelligence 314
- Computational Mathematics 5
- Computer Vision and Pattern Recognition 141
- Signal Processing 64
Countries citing papers authored by Benjamin Ricaud
This map shows the geographic impact of Benjamin Ricaud'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 Benjamin Ricaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Ricaud more than expected).
Fields of papers citing papers by Benjamin Ricaud
This network shows the impact of papers produced by Benjamin Ricaud. 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 Benjamin Ricaud. The network helps show where Benjamin Ricaud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin Ricaud, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 8 | |
| 4 | 2022 | 6 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 40 | |
| 7 | SpectroBank: A filter-bank convolutional layer for CNN-based audio applications | 2019 | 3 |
| 8 | 2017 | 52 | |
| 9 | 2017 | 109 | |
| 10 | 2016 | 3 | |
| 11 | 2016 | 12 | |
| 12 | 2016 | 7 | |
| 13 | 2015 | 205 | |
| 14 | 2015 | 1 | |
| 15 | 2013 | 12 | |
| 16 | 2013 | 15 | |
| 17 | 2013 | 12 | |
| 18 | 2012 | 4 | |
| 19 | 2009 | 5 | |
| 20 | 2006 | 9 |
About Benjamin Ricaud
Benjamin Ricaud is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 639 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Advanced Graph Neural Networks (7 papers), Image and Signal Denoising Methods (5 papers), Speech and Audio Processing (4 papers), Mathematical Analysis and Transform Methods (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Music and Audio Processing (3 papers) and Music Technology and Sound Studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (218 citations), Artificial Intelligence (314 citations) and Computational Mathematics (5 citations). Benjamin Ricaud has collaborated with scholars based in Switzerland, France and Norway. Frequent co-authors include Pierre Vandergheynst, David I Shuman, Bruno Torrésani, Nathanaël Perraudin, Andreas Loukas, Kirell Benzi, Nicolas Tremblay, Pierre Borgnat, Paulo Gonçalvès and Patric Hagmann. Their work appears in journals such as Advances in Computational Mathematics, Scientific Reports, Atmosphere, NeuroImage and Comptes Rendus Physique.
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.