Curtis Roads
Impact in
- Signal Processing top 0.5%
- Music and Audio Processing
- Speech and Audio Processing
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- Music Technology and Sound Studies
Papers in
-
- Music Technology and Sound Studies 37
-
- Music and Audio Processing 19
- Blind Source Separation Techniques 5
- Speech and Audio Processing 3
- Co-authors
- Giovanni De Poli (3 shared papers)Manfred Clynes (1 shared paper)John Strawn (3 shared papers)Marc Battier (2 shared papers)Stephen Pope (1 shared paper)Avron Barr (1 shared paper)Edward A. Feigenbaum (1 shared paper)Nils J. Nilsson (1 shared paper)
- Journals
- Computer Music Journal (36 papers)The Journal of the Acoustical Society of America (2 papers)Notes (2 papers)Journal of the Audio Engineering Society (1 paper)Leonardo Music Journal (1 paper)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Curtis Roads
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Signal Processing 829
- Computer Vision and Pattern Recognition 980
- Music 101
- Cognitive Neuroscience 556
- Human-Computer Interaction 126
Countries citing papers authored by Curtis Roads
This map shows the geographic impact of Curtis Roads'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 Curtis Roads with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis Roads more than expected).
Fields of papers citing papers by Curtis Roads
This network shows the impact of papers produced by Curtis Roads. 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 Curtis Roads. The network helps show where Curtis Roads may publish in the future.
Co-authors
The 24 scholars most cited alongside Curtis Roads, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The computer music tutorial | 1996 | 392 |
| 2 | 1992 | 95 | |
| 3 | 1983 | 88 | |
| 4 | 1997 | 83 | |
| 5 | 1985 | 61 | |
| 6 | 1979 | 59 | |
| 7 | 1982 | 54 | |
| 8 | 1984 | 51 | |
| 9 | 1985 | 45 | |
| 10 | 1988 | 45 | |
| 11 | 1978 | 41 | |
| 12 | 1986 | 40 | |
| 13 | The Music Machine | 1988 | 35 |
| 14 | 2002 | 32 | |
| 15 | Asynchronous granular synthesis | 1991 | 25 |
| 16 | 2015 | 25 | |
| 17 | 1986 | 23 | |
| 18 | 1980 | 21 | |
| 19 | 1980 | 17 | |
| 20 | 2008 | 11 |
About Curtis Roads
Curtis Roads is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Artificial Intelligence and Mechanical Engineering, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (37 papers), Music and Audio Processing (19 papers), Blind Source Separation Techniques (5 papers), Neuroscience and Music Perception (5 papers), Modular Robots and Swarm Intelligence (3 papers), Speech and Audio Processing (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Signal Processing (829 citations), Computer Vision and Pattern Recognition (980 citations), Music (101 citations), Cognitive Neuroscience (556 citations) and Human-Computer Interaction (126 citations). Curtis Roads has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Giovanni De Poli, Manfred Clynes, John Strawn, Marc Battier, Stephen Pope, Avron Barr, Edward A. Feigenbaum, Nils J. Nilsson, Claude Cadoz and Annie Luciani. Their work appears in journals such as Computer Music Journal, The Journal of the Acoustical Society of America, Notes, Journal of the Audio Engineering Society and Leonardo Music Journal.
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.