David Temperley

4.2k total citations
72 papers, 2.2k citations indexed

About

David Temperley is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Temperley has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 37 papers in Signal Processing and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Temperley's work include Neuroscience and Music Perception (43 papers), Music and Audio Processing (37 papers) and Music Technology and Sound Studies (33 papers). David Temperley is often cited by papers focused on Neuroscience and Music Perception (43 papers), Music and Audio Processing (37 papers) and Music Technology and Sound Studies (33 papers). David Temperley collaborates with scholars based in United States, Germany and Canada. David Temperley's co-authors include Daniel D. Sleator, Daniel Gildea, Trevor de Clercq, Elizabeth West Marvin, Nicholas Temperley, Zhiyao Duan, Emmanuel Bigand and Peter Q. Pfordresher and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Cognition.

In The Last Decade

David Temperley

68 papers receiving 1.8k citations

Peers

David Temperley
Comparison fields: 5 of 83
  • Cognitive Neuroscience 1.1k
  • Signal Processing 935
  • Artificial Intelligence 694
  • Computer Vision and Pattern Recognition 685
  • Music 494
Replace Geraínt A. Wiggins with:
Geraínt A. Wiggins United Kingdom
Perfecto Herrera Spain
François Pachet Japan
Mikko Kurimo Finland
Fabien Gouyon Portugal
Douglas Turnbull United States
Bryan Pardo United States
Matthias Mauch United Kingdom
Lori Lamel France
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Geraínt A. Wiggins United Kingdom View profile →
Citations per field, relative to David Temperley
David Temperley · 1×
Citations per year, relative to David Temperley
David Temperley · 1×

Countries citing papers authored by David Temperley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Temperley

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 19
4 27
5 6
6 7
7 57
8 107
9 35
10 43
11 13
12
Optimizing Grammars for Minimum Dependency Length
27
13 47
14 8
15 45
16 72
17
The perception of harmony and tonality : an algorithmic perspective
2
18
Parsing English with a Link Grammar
427
19 0
20 1

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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