Matthias Mauch
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Music top 1%
- Co-authors
- Simon DixonArmand M. LeroiRobert M. MacCallumM. LévyJustin SalamonChris CannamRachel BittnerJuan Pablo Bello
- Topics
- Music and Audio Processing (35 papers)Music Technology and Sound Studies (29 papers)Speech and Audio Processing (23 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of the Acoustical Society of AmericaIEEE Transactions on Audio Speech and Language Processing
- Partner nations
- United KingdomJapanGermany
In The Last Decade
Matthias Mauch
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 89
- Signal Processing 1.0k
- Computer Vision and Pattern Recognition 719
- Cognitive Neuroscience 286
- Artificial Intelligence 237
- Music 137
Countries citing papers authored by Matthias Mauch
This map shows the geographic impact of Matthias Mauch'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 Matthias Mauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Mauch more than expected).
Fields of papers citing papers by Matthias Mauch
This network shows the impact of papers produced by Matthias Mauch. 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 Matthias Mauch. The network helps show where Matthias Mauch may publish in the future.
Co-authorship network of co-authors of Matthias Mauch
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Mauch. A scholar is included among the top collaborators of Matthias Mauch 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 Matthias Mauch. Matthias Mauch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 20 | |
| 3 | 31 | |
| 4 | 9 | |
| 5 | 65 | |
| 6 | 5 | |
| 7 | 214 | |
| 8 | 7 | |
| 9 | 146 | |
| 10 | A DETERMINISTIC ANNEALING EM ALGORITHM FOR AUTOMATIC MUSIC TRANSCRIPTION | 5 |
| 11 | 47 | |
| 12 | 3 | |
| 13 | 27 | |
| 14 | 48 | |
| 15 | 86 | |
| 16 | 21 | |
| 17 | 4 | |
| 18 | 47 | |
| 19 | 84 | |
| 20 | 11 |
About Matthias Mauch
Matthias Mauch is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Music and Audio Processing (35 papers), Music Technology and Sound Studies (29 papers) and Speech and Audio Processing (23 papers). The work is most often cited by research in Signal Processing (1.0k citations), Music (137 citations) and Computer Vision and Pattern Recognition (719 citations). Matthias Mauch has collaborated with scholars based in United Kingdom, Japan and Germany. Frequent co-authors include Simon Dixon, Armand M. Leroi, Robert M. MacCallum, M. Lévy, Justin Salamon, Chris Cannam, Rachel Bittner, Juan Pablo Bello, Masataka Goto and Hiromasa Fujihara. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of the Acoustical Society of America and IEEE Transactions on Audio Speech and Language Processing.
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.