Richard Parncutt
- Cognitive Neuroscience top 1%
- Signal Processing top 0.5%
- Music top 0.1%
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Gary E. McPhersonEmmanuel BigandFred LerdahlDavid HuronAnnemarie Seither‐PreislerPeter SchneiderJohn SlobodaEric Clarke
- Topics
- Neuroscience and Music Perception (67 papers)Music Technology and Sound Studies (37 papers)Music and Audio Processing (33 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- AustriaUnited KingdomCanada
In The Last Decade
Richard Parncutt
92 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 129
- Cognitive Neuroscience 1.8k
- Signal Processing 891
- Music 661
- Computer Vision and Pattern Recognition 652
- Experimental and Cognitive Psychology 493
Countries citing papers authored by Richard Parncutt
This map shows the geographic impact of Richard Parncutt'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 Parncutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Parncutt more than expected).
Fields of papers citing papers by Richard Parncutt
This network shows the impact of papers produced by Richard Parncutt. 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 Parncutt. The network helps show where Richard Parncutt may publish in the future.
Co-authorship network of co-authors of Richard Parncutt
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Parncutt. A scholar is included among the top collaborators of Richard Parncutt 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 Parncutt. Richard Parncutt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 32 | |
| 6 | 3 | |
| 7 | 39 | |
| 8 | 19 | |
| 9 | 39 | |
| 10 | 68 | |
| 11 | The rosegarden codicil: rehearsing music in nineteen-tone equal temperament | 1 |
| 12 | THE ROSEGARDEN CODICIL: REHEARSING MUSIC IN NINETEEN-TONE EQUAL TEMPERAMENT | 2 |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 97 | |
| 16 | Modeling piano performance: Physics and cognition of a virtual pianist | 7 |
| 17 | A Model of Beat Induction Accounting for Perceptual Ambiguity by Continuously Variable Parameters | 2 |
| 18 | 21 | |
| 19 | A Psychoacoustical Model for Tonal Composition | 1 |
| 20 | 155 |
About Richard Parncutt
Richard Parncutt is a scholar working on Music, Cognitive Neuroscience and Signal Processing, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (67 papers), Music Technology and Sound Studies (37 papers) and Music and Audio Processing (33 papers). The work is most often cited by research in Music (661 citations), Cognitive Neuroscience (1.8k citations) and Signal Processing (891 citations). Richard Parncutt has collaborated with scholars based in Austria, United Kingdom and Canada. Frequent co-authors include Gary E. McPherson, Emmanuel Bigand, Fred Lerdahl, David Huron, Annemarie Seither‐Preisler, Peter Schneider, John Sloboda, Eric Clarke, Andrea Schiavio and Erica Bisesi. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Scientific Reports.
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.