Nicolas Donin
Impact in
- Music top 2%
- Diverse Music Education Insights
- Musicology and Musical Analysis
- General Arts and Humanities top 5%
Papers in
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- Cultural Insights and Digital Impacts 12
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- Music Technology and Sound Studies 10
- Co-authors
- Jacques Theureau (7 shared papers)Frédéric Keck (2 shared papers)Jonathan Goldman (1 shared paper)Jean‐François Blanchette (1 shared paper)Bruno Bachimont (1 shared paper)Pierre Morizet‐Mahoudeaux (1 shared paper)Bernard Stiegler (1 shared paper)Daniel Ferrer (1 shared paper)
- Journals
- Musicae Scientiae (3 papers)Cognition Technology & Work (1 paper)Organised Sound (1 paper)Music Theory Online (1 paper)Revue de Synthèse (2 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Nicolas Donin
27 papers receiving 136 citations
Peers
Comparison fields: 5 of 48
- Music 54
- General Arts and Humanities 5
- Computer Vision and Pattern Recognition 65
- Conservation 10
- Cognitive Neuroscience 54
Countries citing papers authored by Nicolas Donin
This map shows the geographic impact of Nicolas Donin'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 Nicolas Donin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Donin more than expected).
Fields of papers citing papers by Nicolas Donin
This network shows the impact of papers produced by Nicolas Donin. 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 Nicolas Donin. The network helps show where Nicolas Donin may publish in the future.
Co-authors
The 10 scholars most cited alongside Nicolas Donin, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 41 | |
| 2 | 2012 | 17 | |
| 3 | 2008 | 13 | |
| 4 | 2004 | 13 | |
| 5 | 2004 | 11 | |
| 6 | 2008 | 10 | |
| 7 | 2006 | 7 | |
| 8 | 2008 | 6 | |
| 9 | 2010 | 6 | |
| 10 | 2016 | 6 | |
| 11 | 2009 | 6 | |
| 12 | 2008 | 5 | |
| 13 | 2017 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2007 | 3 | |
| 16 | 2006 | 3 | |
| 17 | 2016 | 2 | |
| 18 | 2010 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2019 | 2 |
About Nicolas Donin
Nicolas Donin is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Music, Cognitive Neuroscience and Sociology and Political Science, having authored 41 papers that have together received 174 indexed citations. Recurring topics across this work include Cultural Insights and Digital Impacts (12 papers), Music Technology and Sound Studies (10 papers), Neuroscience and Music Perception (5 papers), Diverse Musicological Studies (4 papers), Cultural Identity and Heritage (4 papers), Musicology and Musical Analysis (4 papers), Historical and Literary Studies (3 papers) and Historical Studies and Socio-cultural Analysis (3 papers). The work is most often cited by research in Music (54 citations), General Arts and Humanities (5 citations), Computer Vision and Pattern Recognition (65 citations), Conservation (10 citations) and Cognitive Neuroscience (54 citations). Nicolas Donin has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Jacques Theureau, Frédéric Keck, Jonathan Goldman, Jean‐François Blanchette, Bruno Bachimont, Pierre Morizet‐Mahoudeaux, Bernard Stiegler, Daniel Ferrer, Catherine Letondal and Wendy E. Mackay. Their work appears in journals such as Musicae Scientiae, Cognition Technology & Work, Organised Sound, Music Theory Online and Revue de Synthèse.
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.