Daniel Leech‐Wilkinson
Impact in
Papers in
- Music 26
- Musicology and Musical Analysis 22
- Diverse Music Education Insights 8
- Diverse Musicological Studies 7
- Music History and Culture 4
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- Music and Audio Processing 9
- Co-authors
- Mats B. Küssner (2 shared papers)Dan Tidhar (2 shared papers)Sarah Fuller (1 shared paper)Nicolas Gold (1 shared paper)
- Journals
- Early Music (4 papers)Musicae Scientiae (3 papers)Notes (2 papers)Music Analysis (2 papers)Music Theory Online (1 paper)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Daniel Leech‐Wilkinson
34 papers receiving 276 citations
Peers
Comparison fields: 5 of 43
- Music 310
- Classics 49
- Cognitive Neuroscience 179
- Experimental and Cognitive Psychology 70
- Signal Processing 53
Countries citing papers authored by Daniel Leech‐Wilkinson
This map shows the geographic impact of Daniel Leech‐Wilkinson'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 Daniel Leech‐Wilkinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Leech‐Wilkinson more than expected).
Fields of papers citing papers by Daniel Leech‐Wilkinson
This network shows the impact of papers produced by Daniel Leech‐Wilkinson. 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 Daniel Leech‐Wilkinson. The network helps show where Daniel Leech‐Wilkinson may publish in the future.
Co-authors
The 4 scholars most cited alongside Daniel Leech‐Wilkinson, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 47 | |
| 2 | 2013 | 45 | |
| 3 | 2014 | 42 | |
| 4 | 2016 | 32 | |
| 5 | 2012 | 30 | |
| 6 | 2009 | 29 | |
| 7 | Le livre dou voir dit : The book of the true poem | 1998 | 28 |
| 8 | 1993 | 25 | |
| 9 | 1993 | 22 | |
| 10 | 1984 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 1984 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2013 | 11 | |
| 15 | 2010 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2006 | 8 | |
| 18 | 1982 | 8 | |
| 19 | 2007 | 8 | |
| 20 | Synaesthetic Traces: Digital Acquisition of Musical Shapes | 2011 | 7 |
About Daniel Leech‐Wilkinson
Daniel Leech‐Wilkinson is a scholar working on Music, Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition and History and Philosophy of Science, having authored 43 papers that have together received 476 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (22 papers), Music Technology and Sound Studies (10 papers), Neuroscience and Music Perception (10 papers), Music and Audio Processing (9 papers), Diverse Music Education Insights (8 papers), Diverse Musicological Studies (7 papers), Historical Studies and Socio-cultural Analysis (4 papers) and Music History and Culture (4 papers). The work is most often cited by research in Music (310 citations), Classics (49 citations), Cognitive Neuroscience (179 citations), Experimental and Cognitive Psychology (70 citations) and Signal Processing (53 citations). Daniel Leech‐Wilkinson has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Mats B. Küssner, Dan Tidhar, Sarah Fuller and Nicolas Gold. Their work appears in journals such as Early Music, Musicae Scientiae, Notes, Music Analysis and Music Theory Online.
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.