Marc Chemillier
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Computational Theory and Mathematics
- Co-authors
- Charlotte TruchetGérard AssayagShlomo DubnovArshia ContSrečko BrlekChristophe ReutenauerSolon P. PissisDorian Cazau
- Topics
- Music Technology and Sound Studies (14 papers)Music and Audio Processing (10 papers)semigroups and automata theory (3 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Marc Chemillier
25 papers receiving 146 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 95
- Signal Processing 90
- Cognitive Neuroscience 63
- Artificial Intelligence 43
- Computational Theory and Mathematics 33
Countries citing papers authored by Marc Chemillier
This map shows the geographic impact of Marc Chemillier'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 Marc Chemillier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Chemillier more than expected).
Fields of papers citing papers by Marc Chemillier
This network shows the impact of papers produced by Marc Chemillier. 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 Marc Chemillier. The network helps show where Marc Chemillier may publish in the future.
Co-authorship network of co-authors of Marc Chemillier
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Chemillier. A scholar is included among the top collaborators of Marc Chemillier 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 Marc Chemillier. Marc Chemillier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The smile of Velonjoro. Bi-musicality and the use of artificial intelligence in the analysis of Madagascar zither music | 0 |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Mathematical and Cognitive Aspects of Sikidy Divination on Madagascar | 1 |
| 9 | 1 | |
| 10 | OMAX Brothers: A Dynamic Topology of Agents for Improvisation Learning | 3 |
| 11 | 39 | |
| 12 | Musical Representations and Mathematical Representations | 1 |
| 13 | Computation of words satisfying the "rhythmic oddity property" | 9 |
| 14 | 28 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | Two Musical CSPs | 7 |
| 18 | Toward a Theory of Formal Musical Languages. | 7 |
| 19 | 1 | |
| 20 | 5 |
About Marc Chemillier
Marc Chemillier is a scholar working on Music, Signal Processing and Theoretical Computer Science, having authored 31 papers that have together received 174 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (14 papers), Music and Audio Processing (10 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Signal Processing (90 citations), Music (17 citations) and Computer Vision and Pattern Recognition (95 citations). Marc Chemillier has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Charlotte Truchet, Gérard Assayag, Shlomo Dubnov, Arshia Cont, Srečko Brlek, Christophe Reutenauer, Solon P. Pissis, Dorian Cazau, Olivier Adam and Yuancheng Wang. Their work appears in journals such as Theoretical Computer Science, Soft Computing and Information Processing Letters.
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.