M. Lévy
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Music top 2%
- Co-authors
- M. SandlerMatthias MauchArmand M. LeroiRobert M. MacCallumMichael A. CaseyJeff Todd TıtonSimon DixonGus Xia
- Topics
- Music and Audio Processing (14 papers)Music Technology and Sound Studies (11 papers)Speech and Audio Processing (7 papers)
- Journals
- IEEE Transactions on MultimediaIEEE Transactions on Audio Speech and Language ProcessingRoyal Society Open Science
- Partner nations
- United KingdomJapanMexico
In The Last Decade
M. Lévy
22 papers receiving 516 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 425
- Computer Vision and Pattern Recognition 355
- Cognitive Neuroscience 138
- Artificial Intelligence 91
- Music 67
Countries citing papers authored by M. Lévy
This map shows the geographic impact of M. Lévy'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 M. Lévy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lévy more than expected).
Fields of papers citing papers by M. Lévy
This network shows the impact of papers produced by M. Lévy. 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 M. Lévy. The network helps show where M. Lévy may publish in the future.
Co-authorship network of co-authors of M. Lévy
This figure shows the co-authorship network connecting the top 25 collaborators of M. Lévy. A scholar is included among the top collaborators of M. Lévy 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 M. Lévy. M. Lévy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | PQ-VAE: Efficient Recommendation Using Quantized Embeddings. | 1 |
| 3 | 122 | |
| 4 | 8 | |
| 5 | 21 | |
| 6 | 79 | |
| 7 | 38 | |
| 8 | 104 | |
| 9 | 3 | |
| 10 | 65 | |
| 11 | 9 | |
| 12 | Application of Segmentation and Thumbnailing to Music Browsing and Searching | 2 |
| 13 | 17 | |
| 14 | 48 | |
| 15 | 8 | |
| 16 | Share & Compare: A Teacher's Story about Helping Children Become Problem Solvers in Mathematics (Book) | 1 |
| 17 | 1 | |
| 18 | 9 | |
| 19 | Glomerulonephrite prolongee et cardiopathie cyanogene. | 1 |
| 20 | Malformations graves des membres et oligophrénie dans une famille (avec études chromosomiques. | 3 |
About M. Lévy
M. Lévy is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Developmental Biology, having authored 22 papers that have together received 567 indexed citations. Recurring topics across this work include Music and Audio Processing (14 papers), Music Technology and Sound Studies (11 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Signal Processing (425 citations), Music (67 citations) and Computer Vision and Pattern Recognition (355 citations). M. Lévy has collaborated with scholars based in United Kingdom, Japan and Mexico. Frequent co-authors include M. Sandler, Matthias Mauch, Armand M. Leroi, Robert M. MacCallum, Michael A. Casey, Jeff Todd Tıton, Simon Dixon, Gus Xia, S. Warter and C Berchel. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Audio Speech and Language Processing and Royal Society Open Science.
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.