Romain Serizel
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Emmanuel VincentMarc MoonenJan WoutersSlim EssidAlexandre GuérinBas van DijkNicolas TurpaultDiego Giuliani
- Topics
- Speech and Audio Processing (45 papers)Music and Audio Processing (28 papers)Advanced Adaptive Filtering Techniques (15 papers)
In The Last Decade
Romain Serizel
48 papers receiving 626 citations
Peers
Comparison fields: 5 of 60
- Signal Processing 548
- Artificial Intelligence 207
- Computational Mechanics 181
- Computer Vision and Pattern Recognition 106
- Cognitive Neuroscience 94
Countries citing papers authored by Romain Serizel
This map shows the geographic impact of Romain Serizel'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 Romain Serizel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romain Serizel more than expected).
Fields of papers citing papers by Romain Serizel
This network shows the impact of papers produced by Romain Serizel. 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 Romain Serizel. The network helps show where Romain Serizel may publish in the future.
Co-authorship network of co-authors of Romain Serizel
This figure shows the co-authorship network connecting the top 25 collaborators of Romain Serizel. A scholar is included among the top collaborators of Romain Serizel 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 Romain Serizel. Romain Serizel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | CONVOLUTIONAL NEURAL NETWORK FOR AUDIBILITY ASSESSMENT OF ACOUSTIC ALARMS | 1 |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 20 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | Acoustic scene classification with matrix factorization for unsupervised feature learning | 1 |
| 19 | 2 | |
| 20 | Noise model for Accuracy Constraint Determination in Fixed-Point Systems | 1 |
About Romain Serizel
Romain Serizel is a scholar working on Signal Processing, Developmental Biology and Computational Mechanics, having authored 55 papers that have together received 651 indexed citations. Recurring topics across this work include Speech and Audio Processing (45 papers), Music and Audio Processing (28 papers) and Advanced Adaptive Filtering Techniques (15 papers). The work is most often cited by research in Signal Processing (548 citations), Developmental Biology (36 citations) and Computational Mechanics (181 citations). Romain Serizel has collaborated with scholars based in France, Belgium and Denmark. Frequent co-authors include Emmanuel Vincent, Marc Moonen, Jan Wouters, Slim Essid, Alexandre Guérin, Bas van Dijk, Nicolas Turpault, Diego Giuliani, Gaël Richard and Justin Salamon. Their work appears in journals such as Signal Processing, IEEE Signal Processing Letters and IEEE Journal of Selected Topics in Signal Processing.
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.