Marc Leman
Impact in
- Music top 0.05%
- Diverse Music Education Insights
- Cognitive Neuroscience top 0.5%
- Neuroscience and Music Perception
Papers in
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- Neuroscience and Music Perception 153
- Hearing Loss and Rehabilitation 19
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- Music Technology and Sound Studies 174
- Co-authors
- Pieter‐Jan Maes (37 shared papers)Dirk Moelants (41 shared papers)Micheline Lesaffre (56 shared papers)Leon van Noorden (12 shared papers)Bart Moens (31 shared papers)Frederik Styns (7 shared papers)Luc Nijs (19 shared papers)Edith Van Dyck (20 shared papers)
In The Last Decade
Marc Leman
318 papers receiving 5.8k citations
Marc Leman's Hit Papers
Peers
Comparison fields: 5 of 153
- Music 935
- Cognitive Neuroscience 4.0k
- Signal Processing 2.3k
- Computer Vision and Pattern Recognition 2.6k
- Social Psychology 1.4k
Countries citing papers authored by Marc Leman
This map shows the geographic impact of Marc Leman'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 Leman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Leman more than expected).
Fields of papers citing papers by Marc Leman
This network shows the impact of papers produced by Marc Leman. 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 Leman. The network helps show where Marc Leman may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Leman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 348 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Embodied Music Cognition and Mediation Technology Hit paper breakdown → | 2007 | 656 |
| 2 | Content-Based Music Information Retrieval: Current Directions and Future Challenges Hit paper breakdown → | 2008 | 473 |
| 3 | 2002 | 304 | |
| 4 | 2007 | 225 | |
| 5 | 2014 | 176 | |
| 6 | 2005 | 116 | |
| 7 | 2013 | 114 | |
| 8 | 2000 | 110 | |
| 9 | 2015 | 101 | |
| 10 | 2013 | 97 | |
| 11 | 2009 | 92 | |
| 12 | 2012 | 89 | |
| 13 | The Expressive Moment: How Interaction (with Music) Shapes Human Empowerment | 2016 | 88 |
| 14 | 2015 | 78 | |
| 15 | 1995 | 74 | |
| 16 | 2014 | 73 | |
| 17 | 2006 | 71 | |
| 18 | 2010 | 66 | |
| 19 | 2005 | 66 | |
| 20 | 2015 | 64 |
About Marc Leman
Marc Leman is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing, Music and Social Psychology, having authored 348 papers that have together received 6.5k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (174 papers), Neuroscience and Music Perception (153 papers), Music and Audio Processing (143 papers), Action Observation and Synchronization (35 papers), Diverse Music Education Insights (27 papers), Speech and Audio Processing (27 papers), Diverse Musicological Studies (20 papers) and Hearing Loss and Rehabilitation (19 papers). The work is most often cited by research in Music (935 citations), Cognitive Neuroscience (4.0k citations), Signal Processing (2.3k citations), Computer Vision and Pattern Recognition (2.6k citations) and Social Psychology (1.4k citations). Marc Leman has collaborated with scholars based in Belgium, Italy and France. Frequent co-authors include Pieter‐Jan Maes, Dirk Moelants, Micheline Lesaffre, Leon van Noorden, Bart Moens, Frederik Styns, Luc Nijs, Edith Van Dyck, Michael A. Casey and Masataka Goto. Their work appears in journals such as Journal of New Music Research, PLoS ONE, Music Perception An Interdisciplinary Journal, Scientific Reports and Frontiers in Psychology.
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.