Jack Douthett

732 citations
21 papers · 366 · h-index 9

Impact in

  • Music top 0.5%
    • Musicology and Musical Analysis
    • Music History and Culture
    • Diverse Musicological Studies
    • Neuroscience and Music Perception

Papers in

Jack Douthett

20 papers receiving 250 citations

Peers

Jack Douthett
Comparison fields: 5 of 44
  • Music 259
  • Cognitive Neuroscience 249
  • Computer Vision and Pattern Recognition 197
  • Signal Processing 99
  • Archeology 5
Replace Dmitri Tymoczko with:
Dmitri Tymoczko United States
John Clough United States
Ian Quinn United States
Norman Carey United States
Emmanuel Amiot France
Marc Chemillier France
P. van Kranenburg Netherlands
Alastair Porter Spain
Deshun Yang China
Michael L. Allen United States
Jack Douthett relative to Dmitri Tymoczko United States Dmitri Tymoczko's profile →
Citations per field
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Dmitri Tymoczko · 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 16 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991114
2 1998100
3 199423
4 200816
5 200715
6 199713
7 200711
8 199810
9 199310
10 19968
11 20008
12 20118
13 19947
14 20135
15 20105
16 20084
17 20133
18 20083
19 19932
20 20001

About Jack Douthett

Jack Douthett is a scholar working on Cognitive Neuroscience, Music, Signal Processing, Computer Vision and Pattern Recognition and Condensed Matter Physics, having authored 21 papers that have together received 366 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (9 papers), Musicology and Musical Analysis (8 papers), Music and Audio Processing (6 papers), Music Technology and Sound Studies (4 papers), Theoretical and Computational Physics (3 papers), Mathematical Dynamics and Fractals (2 papers), Advanced Mathematical Theories and Applications (1 paper) and Diverse Musicological Studies (1 paper). The work is most often cited by research in Music (259 citations), Cognitive Neuroscience (249 citations), Computer Vision and Pattern Recognition (197 citations), Signal Processing (99 citations) and Archeology (5 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, Lewis Rowell, Narayanan Ramanathan, Julian Hook, John D. Clough, Diego Luis Gonzalez, Oreste Piro and Julyan H. E. Cartwright. Their work appears in journals such as Journal of Mathematics and Music, Journal of Music Theory, Music Theory Spectrum, The Journal of the Acoustical Society of America 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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