Micheline Lesaffre

85 total papers · 987 total citations
52 papers, 592 citations indexed

About

Micheline Lesaffre is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Micheline Lesaffre has authored 52 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 29 papers in Signal Processing and 27 papers in Cognitive Neuroscience. Recurrent topics in Micheline Lesaffre's work include Music Technology and Sound Studies (30 papers), Music and Audio Processing (29 papers) and Neuroscience and Music Perception (22 papers). Micheline Lesaffre is often cited by papers focused on Music Technology and Sound Studies (30 papers), Music and Audio Processing (29 papers) and Neuroscience and Music Perception (22 papers). Micheline Lesaffre collaborates with scholars based in Belgium, France and Canada. Micheline Lesaffre's co-authors include Marc Leman, Jean‐Pierre Martens, Bernard De Baets, Dirk Moelants, Luc Nijs, H. De Meyer, Pieter‐Jan Maes, Edith Van Dyck, Michiel Demey and Bart Moens and has published in prestigious journals such as PLoS ONE, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Micheline Lesaffre

51 papers receiving 508 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Micheline Lesaffre 360 338 318 125 95 52 592
Antonio Rodà 343 1.0× 365 1.1× 297 0.9× 84 0.7× 65 0.7× 81 667
Sergio Canazza 259 0.7× 424 1.3× 367 1.2× 40 0.3× 119 1.3× 98 678
Otto Laske 173 0.5× 234 0.7× 160 0.5× 94 0.8× 66 0.7× 54 602
Kristian Nymoen 430 1.2× 407 1.2× 191 0.6× 64 0.5× 63 0.7× 36 672
Nicolas Misdariis 306 0.8× 240 0.7× 265 0.8× 82 0.7× 29 0.3× 57 635
Guerino Mazzola 309 0.9× 329 1.0× 218 0.7× 39 0.3× 120 1.3× 84 646
Andy Hunt 376 1.0× 391 1.2× 206 0.6× 60 0.5× 25 0.3× 50 650
Sam Ferguson 234 0.7× 168 0.5× 157 0.5× 56 0.4× 33 0.3× 82 619
Donald Glowinski 341 0.9× 188 0.6× 74 0.2× 295 2.4× 38 0.4× 39 583
Olivier Houix 287 0.8× 183 0.5× 178 0.6× 89 0.7× 22 0.2× 35 529

Countries citing papers authored by Micheline Lesaffre

Since Specialization
Citations

This map shows the geographic impact of Micheline Lesaffre'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 Micheline Lesaffre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micheline Lesaffre more than expected).

Fields of papers citing papers by Micheline Lesaffre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micheline Lesaffre. 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 Micheline Lesaffre. The network helps show where Micheline Lesaffre may publish in the future.

Co-authorship network of co-authors of Micheline Lesaffre

This figure shows the co-authorship network connecting the top 25 collaborators of Micheline Lesaffre. A scholar is included among the top collaborators of Micheline Lesaffre 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 Micheline Lesaffre. Micheline Lesaffre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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