Kyle Gann
Impact in
- Music top 0.5%
- Musicology and Musical Analysis
- Music History and Culture
- Diverse Musicological Studies
- Theater, Performance, and Music History
- Diverse Music Education Insights
Papers in
- Music 12
- Musicology and Musical Analysis 11
- Diverse Musicological Studies 5
- Music History and Culture 2
- Theater, Performance, and Music History 1
-
- Music Technology and Sound Studies 5
- Co-authors
- Arnold Whittall (1 shared paper)Tom Huhn (1 shared paper)David E. E. Sloane (1 shared paper)
- Journals
- Notes (2 papers)American Music (1 paper)Journal of Music Theory (1 paper)Perspectives of New Music (1 paper)Routledge eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Kyle Gann
14 papers receiving 241 citations
Peers
Comparison fields: 5 of 69
- Music 223
- Visual Arts and Performing Arts 53
- Computer Vision and Pattern Recognition 133
- Cognitive Neuroscience 93
- Literature and Literary Theory 51
Countries citing papers authored by Kyle Gann
This map shows the geographic impact of Kyle Gann'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 Kyle Gann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Gann more than expected).
Fields of papers citing papers by Kyle Gann
This network shows the impact of papers produced by Kyle Gann. 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 Kyle Gann. The network helps show where Kyle Gann may publish in the future.
Co-authors
The 3 scholars most cited alongside Kyle Gann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Silence : lectures and writings | 2011 | 293 |
| 2 | The Music of Conlon Nancarrow | 1995 | 55 |
| 3 | 2006 | 30 | |
| 4 | 2016 | 20 | |
| 5 | 2017 | 12 | |
| 6 | 2013 | 11 | |
| 7 | 1993 | 9 | |
| 8 | 1999 | 9 | |
| 9 | Silence: Lectures and Writings, 50th Anniversary Edition | 2011 | 8 |
| 10 | 2003 | 6 | |
| 11 | 2009 | 5 | |
| 12 | 1997 | 5 | |
| 13 | 1997 | 5 | |
| 14 | 2015 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2012 | 1 | |
| 17 | 2002 | 1 | |
| 18 | 2022 | 0 | |
| 19 | 2017 | 0 | |
| 20 | The Arithmetic of Listening: Tuning Theory and History for the Impractical Musician | 2019 | 0 |
About Kyle Gann
Kyle Gann is a scholar working on Music, Computer Vision and Pattern Recognition, Rehabilitation, Cultural Studies and History, having authored 22 papers that have together received 476 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (11 papers), Music Technology and Sound Studies (5 papers), Diverse Musicological Studies (5 papers), Music History and Culture (2 papers), French Historical and Cultural Studies (1 paper), Musicians’ Health and Performance (1 paper), Literature, Musicology, and Cultural Analysis (1 paper) and Theater, Performance, and Music History (1 paper). The work is most often cited by research in Music (223 citations), Visual Arts and Performing Arts (53 citations), Computer Vision and Pattern Recognition (133 citations), Cognitive Neuroscience (93 citations) and Literature and Literary Theory (51 citations). Kyle Gann has collaborated with scholars based in United States. Frequent co-authors include Arnold Whittall, Tom Huhn and David E. E. Sloane. Their work appears in journals such as Notes, American Music, Journal of Music Theory, Perspectives of New Music and Routledge eBooks.
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.