John Rahn
Impact in
- Music top 1%
- Musicology and Musical Analysis
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
- Music 18
- Musicology and Musical Analysis 14
- Music History and Culture 4
- Diverse Musicological Studies 4
- Diverse Music Education Insights 2
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- Music Technology and Sound Studies 13
- Co-authors
- Thomas Neumann (7 shared papers)Alan C. Nelson (7 shared papers)Michael G. Meyer (6 shared papers)Eric J. Seibel (3 shared papers)Florence W. Patten (2 shared papers)David I Lewin (1 shared paper)Mark E. Fauver (3 shared papers)Pierre Boulez (2 shared papers)
- Journals
- Computer Music Journal (4 papers)Perspectives of New Music (21 papers)Journal of Music Theory (2 papers)Music Theory Spectrum (2 papers)Optics Letters (1 paper)
- Partner nations
- United States
In The Last Decade
John Rahn
36 papers receiving 335 citations
Peers
Comparison fields: 5 of 93
- Music 147
- Biophysics 81
- Signal Processing 79
- Cognitive Neuroscience 121
- Computer Vision and Pattern Recognition 135
Countries citing papers authored by John Rahn
This map shows the geographic impact of John Rahn'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 John Rahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Rahn more than expected).
Fields of papers citing papers by John Rahn
This network shows the impact of papers produced by John Rahn. 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 John Rahn. The network helps show where John Rahn may publish in the future.
Co-authors
The 18 scholars most cited alongside John Rahn, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 118 | |
| 2 | Basic atonal theory | 1980 | 99 |
| 3 | 1987 | 41 | |
| 4 | 2008 | 29 | |
| 5 | 1979 | 17 | |
| 6 | 2009 | 15 | |
| 7 | 1996 | 15 | |
| 8 | 1985 | 12 | |
| 9 | Perspectives on musical aesthetics | 1994 | 8 |
| 10 | 1980 | 8 | |
| 11 | 1993 | 8 | |
| 12 | 1990 | 8 | |
| 13 | 1979 | 8 | |
| 14 | 1975 | 8 | |
| 15 | 1985 | 7 | |
| 16 | 1989 | 6 | |
| 17 | 1990 | 5 | |
| 18 | 2010 | 5 | |
| 19 | 2007 | 5 | |
| 20 | 1988 | 4 |
About John Rahn
John Rahn is a scholar working on Music, Computer Vision and Pattern Recognition, Biophysics, Signal Processing and Cognitive Neuroscience, having authored 47 papers that have together received 465 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (14 papers), Music Technology and Sound Studies (13 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Music and Audio Processing (5 papers), Music History and Culture (4 papers), Diverse Musicological Studies (4 papers), Neuroscience and Music Perception (4 papers) and Diverse Music Education Insights (2 papers). The work is most often cited by research in Music (147 citations), Biophysics (81 citations), Signal Processing (79 citations), Cognitive Neuroscience (121 citations) and Computer Vision and Pattern Recognition (135 citations). John Rahn has collaborated with scholars based in United States. Frequent co-authors include Thomas Neumann, Alan C. Nelson, Michael G. Meyer, Eric J. Seibel, Florence W. Patten, David I Lewin, Mark E. Fauver, Pierre Boulez, Michel Foucault and Benjamin A. Boretz. Their work appears in journals such as Computer Music Journal, Perspectives of New Music, Journal of Music Theory, Music Theory Spectrum and Optics Letters.
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.