M. Lévy

20.3k citations
22 papers · 574 · h-index 10

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
  • Music top 2%
    • Diverse Musicological Studies

Papers in

M. Lévy

22 papers receiving 523 citations

Peers

M. Lévy
Comparison fields: 5 of 78
  • Signal Processing 427
  • Music 66
  • Computer Vision and Pattern Recognition 356
  • Computational Mathematics 5
  • Cognitive Neuroscience 139
Replace Eleanor Selfridge-Field with:
Eleanor Selfridge-Field United States
Mohamed Sordo Spain
Catherine Lai United Kingdom
Dan Tidhar United Kingdom
Roeland Ordelman Netherlands
Satoshi Tojo Japan
David Hauger Austria
Richard Cohn United States
Allen Forte United States
Pauline Rafferty United Kingdom
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Citations per field
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Citations per year

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).

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.

Co-authors

The 12 scholars most cited alongside M. Lévy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Lévy Line = papers co-authored together M. Lévy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015123
2 2008105
3 200979
4 200766
5 200648
6 200839
7 201120
8 201119
9 200617
10 202110
11 20079
12 19949
13 20068
14 20138
15
Malformations graves des membres et oligophrénie dans une famille (avec études chromosomiques.
19723
16 20073
17
Application of Segmentation and Thumbnailing to Music Browsing and Searching
20062
18
PQ-VAE: Efficient Recommendation Using Quantized Embeddings.
20192
19
Glomerulonephrite prolongee et cardiopathie cyanogene.
19781
20
Share & Compare: A Teacher's Story about Helping Children Become Problem Solvers in Mathematics (Book)
20041

About M. Lévy

M. Lévy is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Computer Networks and Communications, having authored 22 papers that have together received 574 indexed citations. Recurring topics across this work include Music and Audio Processing (14 papers), Music Technology and Sound Studies (11 papers), Speech and Audio Processing (7 papers), Topic Modeling (2 papers), Advanced Text Analysis Techniques (2 papers), Video Analysis and Summarization (2 papers), Neuroscience and Music Perception (2 papers) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Signal Processing (427 citations), Music (66 citations), Computer Vision and Pattern Recognition (356 citations), Computational Mathematics (5 citations) and Cognitive Neuroscience (139 citations). M. Lévy has collaborated with scholars based in United Kingdom, France and Belgium. Frequent co-authors include M. Sandler, Matthias Mauch, Robert M. MacCallum, Armand M. Leroi, Michael A. Casey, Jeff Todd Tıton, Simon Dixon, Gus Xia, S. Warter and C Berchel. Their work appears in journals such as Journal of the Audio Engineering Society, IEEE Transactions on Audio Speech and Language Processing, Journal of New Music Research, IEEE Transactions on Multimedia and Ethnomusicology.

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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