Jack Douthett

735 citations
23 papers · 448 · h-index 9

Impact in

  • Music top 0.2%
    • Musicology and Musical Analysis
    • Music History and Culture
    • Diverse Musicological Studies
    • Neuroscience and Music Perception

Papers in

Jack Douthett

21 papers receiving 313 citations

Peers

Jack Douthett
Comparison fields: 5 of 53
  • Music 314
  • Cognitive Neuroscience 284
  • Signal Processing 125
  • Computer Vision and Pattern Recognition 214
  • Theoretical Computer Science 8
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Emmanuel Amiot France
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Citations per field
00.5×2×2.6×
John Clough · 1×
Citations per year

Countries citing papers authored by Jack Douthett

Since Specialization
Citations

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

Fields of papers citing papers by Jack Douthett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Jack Douthett, 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 Jack Douthett Line = papers co-authored together Jack Douthett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998143
2 1991136
3 199424
4
Music theory and mathematics : chords, collections, and transformations
200819
5 200715
6 199313
7 199713
8 200712
9 199811
10 20119
11 20009
12 19968
13 19947
14 20086
15 20135
16 20105
17 20084
18 20094
19 19932
20 20181

About Jack Douthett

Jack Douthett is a scholar working on Music, Cognitive Neuroscience, Signal Processing, Computer Vision and Pattern Recognition and Condensed Matter Physics, having authored 23 papers that have together received 448 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (10 papers), Musicology and Musical Analysis (8 papers), Music and Audio Processing (6 papers), Music Technology and Sound Studies (5 papers), Theoretical and Computational Physics (3 papers), Mathematical Dynamics and Fractals (2 papers), History and Theory of Mathematics (1 paper) and Computability, Logic, AI Algorithms (1 paper). The work is most often cited by research in Music (314 citations), Cognitive Neuroscience (284 citations), Signal Processing (125 citations), Computer Vision and Pattern Recognition (214 citations) and Theoretical Computer Science (8 citations). Jack Douthett has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include John Clough, Peter Steinbach, Steven M. Block, Julian Hook, Lewis Rowell, Richard Plotkin, Narayanan Ramanathan, John D. Clough, Oreste Piro and Diego Luis Gonzalez. Their work appears in journals such as Journal of Mathematics and Music, Journal of Music Theory, The Journal of the Acoustical Society of America, Music Theory Spectrum and Journal of Combinatorial Optimization.

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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