Richard Cohn
- Music top 0.1%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Literature and Literary Theory top 10%
- Co-authors
- Courtney B. HiltonMicah B. GoldwaterTara Julia HamiltonAndrew J. MilneJackson TobyMatilda White RileyJohn W. RileyStephanie Jordan
- Topics
- Musicology and Musical Analysis (19 papers)Music Technology and Sound Studies (15 papers)Neuroscience and Music Perception (9 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Richard Cohn
25 papers receiving 373 citations
Peers
Comparison fields: 5 of 64
- Music 578
- Cognitive Neuroscience 426
- Computer Vision and Pattern Recognition 347
- Signal Processing 119
- Literature and Literary Theory 35
Countries citing papers authored by Richard Cohn
This map shows the geographic impact of Richard Cohn'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 Richard Cohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Cohn more than expected).
Fields of papers citing papers by Richard Cohn
This network shows the impact of papers produced by Richard Cohn. 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 Richard Cohn. The network helps show where Richard Cohn may publish in the future.
Co-authorship network of co-authors of Richard Cohn
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Cohn. A scholar is included among the top collaborators of Richard Cohn 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 Richard Cohn. Richard Cohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Music and Dance: Special Issue on Choreomusical Analysis | 0 |
| 4 | 12 | |
| 5 | 0 | |
| 6 | 90 | |
| 7 | Audacious Euphony: Chromaticism and the Triad's Second Nature | 29 |
| 8 | 60 | |
| 9 | 6 | |
| 10 | 43 | |
| 11 | 9 | |
| 12 | 107 | |
| 13 | 148 | |
| 14 | Portable document format reference manual | 31 |
| 15 | 22 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | Transpositional combination in twentieth-century music | 11 |
About Richard Cohn
Richard Cohn is a scholar working on Music, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 30 papers that have together received 747 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (19 papers), Music Technology and Sound Studies (15 papers) and Neuroscience and Music Perception (9 papers). The work is most often cited by research in Music (578 citations), Cognitive Neuroscience (426 citations) and Computer Vision and Pattern Recognition (347 citations). Richard Cohn has collaborated with scholars based in United States and Australia. Frequent co-authors include Courtney B. Hilton, Micah B. Goldwater, Tara Julia Hamilton, Andrew J. Milne, Jackson Toby, Matilda White Riley, John W. Riley, Stephanie Jordan and Jack Douthett. Their work appears in journals such as American Sociological Review, Ethnomusicology and Journal of Music Theory.
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.