David Temperley
Impact in
- Music top 0.1%
- Musicology and Musical Analysis
- Music History and Culture
- Signal Processing top 0.5%
- Music and Audio Processing
Papers in
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- Neuroscience and Music Perception 47
-
- Music and Audio Processing 41
- Co-authors
- Daniel D. Sleator (2 shared papers)Trevor de Clercq (4 shared papers)Daniel Gildea (4 shared papers)Elizabeth West Marvin (1 shared paper)Nicholas Temperley (2 shared papers)Zhiyao Duan (3 shared papers)Emmanuel Bigand (1 shared paper)Peter Q. Pfordresher (2 shared papers)
- Journals
- Music Perception An Interdisciplinary Journal (19 papers)Journal of Music Theory (5 papers)Cognitive Science (4 papers)Popular Music (4 papers)Journal of New Music Research (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David Temperley
72 papers receiving 2.1k citations
David Temperley's Hit Papers
Peers
Comparison fields: 5 of 86
- Music 576
- Signal Processing 1.1k
- Cognitive Neuroscience 1.2k
- Computer Vision and Pattern Recognition 826
- Experimental and Cognitive Psychology 319
Countries citing papers authored by David Temperley
This map shows the geographic impact of David Temperley'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 David Temperley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Temperley more than expected).
Fields of papers citing papers by David Temperley
This network shows the impact of papers produced by David Temperley. 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 David Temperley. The network helps show where David Temperley may publish in the future.
Co-authors
The 8 scholars most cited alongside David Temperley, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Parsing English with a Link Grammar Hit paper breakdown → | 1995 | 518 |
| 2 | 2006 | 188 | |
| 3 | 2011 | 137 | |
| 4 | 2010 | 118 | |
| 5 | 2006 | 107 | |
| 6 | 1999 | 89 | |
| 7 | 1999 | 84 | |
| 8 | 2003 | 78 | |
| 9 | 1999 | 75 | |
| 10 | 2000 | 67 | |
| 11 | 2013 | 64 | |
| 12 | 2008 | 59 | |
| 13 | 2007 | 53 | |
| 14 | 2008 | 49 | |
| 15 | 2017 | 49 | |
| 16 | 2008 | 45 | |
| 17 | 2012 | 43 | |
| 18 | 2010 | 41 | |
| 19 | 2009 | 40 | |
| 20 | 2002 | 37 |
About David Temperley
David Temperley is a scholar working on Cognitive Neuroscience, Signal Processing, Computer Vision and Pattern Recognition, Music and Artificial Intelligence, having authored 77 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (47 papers), Music and Audio Processing (41 papers), Music Technology and Sound Studies (34 papers), Musicology and Musical Analysis (16 papers), Natural Language Processing Techniques (10 papers), Phonetics and Phonology Research (7 papers), Music History and Culture (7 papers) and Diverse Musicological Studies (6 papers). The work is most often cited by research in Music (576 citations), Signal Processing (1.1k citations), Cognitive Neuroscience (1.2k citations), Computer Vision and Pattern Recognition (826 citations) and Experimental and Cognitive Psychology (319 citations). David Temperley has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Daniel D. Sleator, Trevor de Clercq, Daniel Gildea, Elizabeth West Marvin, Nicholas Temperley, Zhiyao Duan, Emmanuel Bigand and Peter Q. Pfordresher. Their work appears in journals such as Music Perception An Interdisciplinary Journal, Journal of Music Theory, Cognitive Science, Popular Music and Journal of New Music Research.
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.