M. Lévy

13 papers and 309 indexed citations i.

About

M. Lévy is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, M. Lévy has authored 13 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in M. Lévy’s work include Music and Audio Processing (9 papers), Music Technology and Sound Studies (6 papers) and Speech and Audio Processing (3 papers). M. Lévy is often cited by papers focused on Music and Audio Processing (9 papers), Music Technology and Sound Studies (6 papers) and Speech and Audio Processing (3 papers). M. Lévy collaborates with scholars based in United Kingdom, Japan and Belgium. M. Lévy's co-authors include M. Sandler, Matthias Mauch, Robert M. MacCallum, Armand M. Leroi, Jeff Todd Titon, Gus Xia and Simon Dixon and has published in prestigious journals such as IEEE Transactions on Multimedia, IEEE Transactions on Audio Speech and Language Processing and Royal Society Open Science.

In The Last Decade

Co-authorship network of co-authors of M. Lévy i

Fields of papers citing papers by M. Lévy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by M. Lévy

Since Specialization
Citations

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).

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.

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2025