Patrick Richardson
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Co-authors
- Youngmoo E. KimBrandon G. MortonJeffrey J. ScottRaymond MignecoErik M. SchmidtDouglas TurnbullPaul J. HandalDaniel McGee
- Topics
- Music Technology and Sound Studies (3 papers)Music and Audio Processing (2 papers)Advanced Data Processing Techniques (1 paper)
- Journals
- School Science and MathematicsJournal of New Music ResearchJournal of Contemporary Psychotherapy
- Partner nations
- United States
In The Last Decade
Patrick Richardson
6 papers receiving 268 citations
Peers
Comparison fields: 5 of 42
- Signal Processing 236
- Computer Vision and Pattern Recognition 139
- Cognitive Neuroscience 117
- Artificial Intelligence 52
- Experimental and Cognitive Psychology 49
Countries citing papers authored by Patrick Richardson
This map shows the geographic impact of Patrick Richardson'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 Patrick Richardson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Richardson more than expected).
Fields of papers citing papers by Patrick Richardson
This network shows the impact of papers produced by Patrick Richardson. 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 Patrick Richardson. The network helps show where Patrick Richardson may publish in the future.
Co-authorship network of co-authors of Patrick Richardson
This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Richardson. A scholar is included among the top collaborators of Patrick Richardson 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 Patrick Richardson. Patrick Richardson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 12 | |
| 4 | Music emotion recognition: A state of the art review | 239 |
| 5 | 33 | |
| 6 | Software fault recovery for real-time signal processing on massively parallel computers. | 1 |
| 7 | 7 |
About Patrick Richardson
Patrick Richardson is a scholar working on Architecture, Music and Signal Processing, having authored 7 papers that have together received 302 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (3 papers), Music and Audio Processing (2 papers) and Advanced Data Processing Techniques (1 paper). The work is most often cited by research in Signal Processing (236 citations), Computer Vision and Pattern Recognition (139 citations) and Cognitive Neuroscience (117 citations). Patrick Richardson has collaborated with scholars based in United States. Frequent co-authors include Youngmoo E. Kim, Brandon G. Morton, Jeffrey J. Scott, Raymond Migneco, Erik M. Schmidt, Douglas Turnbull, Paul J. Handal, Daniel McGee, Brian Dolhansky and Jeremy Kepner. Their work appears in journals such as School Science and Mathematics, Journal of New Music Research and Journal of Contemporary Psychotherapy.
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.