Fred Lerdahl

38 papers receiving 3.2k citations

Fred Lerdahl's Hit Papers

A Generative Theory of Tonal Music 1984 · 2.2k citations
2.2k0+14+28Years since publication50010001.5k2.0k

Peers

Fred Lerdahl
Comparison fields: 5 of 107
  • Music 953
  • Signal Processing 1.9k
  • Cognitive Neuroscience 2.9k
  • Experimental and Cognitive Psychology 1.0k
  • Computer Vision and Pattern Recognition 1.5k
Replace Leonard B. Meyer with:
Leonard B. Meyer United States
David Temperley United States
Henkjan Honing Netherlands
Marcus T. Pearce United Kingdom
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Eric Clarke United Kingdom
Marilyn G. Boltz United States
Geraínt A. Wiggins United Kingdom
Stephen Handel United States
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Fred Lerdahl relative to Leonard B. Meyer United States Leonard B. Meyer's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Fred Lerdahl

Since Specialization
Citations

This map shows the geographic impact of Fred Lerdahl'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 Fred Lerdahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Lerdahl more than expected).

Fields of papers citing papers by Fred Lerdahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred Lerdahl. 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 Fred Lerdahl. The network helps show where Fred Lerdahl may publish in the future.

Co-authors

The 11 scholars most cited alongside Fred Lerdahl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fred Lerdahl Line = papers co-authored together Fred Lerdahl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Generative Theory of Tonal Music
Hit paper breakdown →
19842205
2
Tonal Pitch Space
2001302
3 2005220
4 1983218
5 1996163
6 2007127
7 1996122
8 1984102
9 198892
10 199290
11 197778
12 199661
13 198955
14 200152
15 198530
16 200528
17 198125
18 198725
19 198524
20 198517

About Fred Lerdahl

Fred Lerdahl is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Music, Signal Processing and Experimental and Cognitive Psychology, having authored 42 papers that have together received 4.2k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (25 papers), Neuroscience and Music Perception (18 papers), Music and Audio Processing (16 papers), Musicology and Musical Analysis (13 papers), Diverse Musicological Studies (8 papers), Multisensory perception and integration (3 papers), Medieval Literature and History (1 paper) and Diverse Music Education Insights (1 paper). The work is most often cited by research in Music (953 citations), Signal Processing (1.9k citations), Cognitive Neuroscience (2.9k citations), Experimental and Cognitive Psychology (1.0k citations) and Computer Vision and Pattern Recognition (1.5k citations). Fred Lerdahl has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Ray Jackendoff, Peter Child, Carol L. Krumhansl, Emmanuel Bigand, Richard Parncutt, Wayne Slawson, J. D. Y. Peel, David J. Harvey, Thierry Pozzo and David Birchfield. Their work appears in journals such as Music Perception An Interdisciplinary Journal, Journal of Music Theory, Contemporary Music Review, Musicae Scientiae and Journal of Aesthetics and Art Criticism.

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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