Raymond Migneco
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Co-authors
- Youngmoo E. KimJeffrey J. ScottBrandon G. MortonErik M. SchmidtPatrick RichardsonDouglas TurnbullBrian DolhanskyAdam Fontecchio
- Topics
- Music Technology and Sound Studies (10 papers)Music and Audio Processing (10 papers)Speech and Audio Processing (5 papers)
- Journals
- IEEE Transactions on Learning TechnologiesDigital Collections - Ithaca College Library (Ithaca College)Zenodo (CERN European Organization for Nuclear Research)
- Partner nations
- United StatesSouth Sudan
In The Last Decade
Raymond Migneco
11 papers receiving 285 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 248
- Computer Vision and Pattern Recognition 158
- Cognitive Neuroscience 118
- Artificial Intelligence 56
- Experimental and Cognitive Psychology 49
Countries citing papers authored by Raymond Migneco
This map shows the geographic impact of Raymond Migneco'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 Raymond Migneco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Migneco more than expected).
Fields of papers citing papers by Raymond Migneco
This network shows the impact of papers produced by Raymond Migneco. 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 Raymond Migneco. The network helps show where Raymond Migneco may publish in the future.
Co-authorship network of co-authors of Raymond Migneco
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Migneco. A scholar is included among the top collaborators of Raymond Migneco 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 Raymond Migneco. Raymond Migneco 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 | 2 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | Music emotion recognition: A state of the art review | 239 |
| 7 | 1 | |
| 8 | 33 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 1 |
About Raymond Migneco
Raymond Migneco is a scholar working on Architecture, Signal Processing and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 318 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (10 papers), Music and Audio Processing (10 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (248 citations), Computer Vision and Pattern Recognition (158 citations) and Cognitive Neuroscience (118 citations). Raymond Migneco has collaborated with scholars based in United States and South Sudan. Frequent co-authors include Youngmoo E. Kim, Jeffrey J. Scott, Brandon G. Morton, Erik M. Schmidt, Patrick Richardson, Douglas Turnbull, Brian Dolhansky and Adam Fontecchio. Their work appears in journals such as IEEE Transactions on Learning Technologies, Digital Collections - Ithaca College Library (Ithaca College) and Zenodo (CERN European Organization for Nuclear Research).
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.