Sebastian Ewert
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Computational Mechanics
- Co-authors
- Meinard MüllerSimon DixonEmmanouil BenetosPeter GroscheZhiyao DuanMark D. PlumbleyJonathan DriedgerMatthias Mauch
- Topics
- Music and Audio Processing (42 papers)Speech and Audio Processing (36 papers)Music Technology and Sound Studies (26 papers)
- Journals
- IEEE Signal Processing MagazineIEEE Transactions on MultimediaIEEE Signal Processing Letters
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Sebastian Ewert
45 papers receiving 795 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 794
- Computer Vision and Pattern Recognition 526
- Artificial Intelligence 126
- Cognitive Neuroscience 121
- Computational Mechanics 55
Countries citing papers authored by Sebastian Ewert
This map shows the geographic impact of Sebastian Ewert'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 Sebastian Ewert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Ewert more than expected).
Fields of papers citing papers by Sebastian Ewert
This network shows the impact of papers produced by Sebastian Ewert. 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 Sebastian Ewert. The network helps show where Sebastian Ewert may publish in the future.
Co-authorship network of co-authors of Sebastian Ewert
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Ewert. A scholar is included among the top collaborators of Sebastian Ewert 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 Sebastian Ewert. Sebastian Ewert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 129 | |
| 7 | Exploring Musical Expression on the Web: Deforming, Exaggerating, and Blending Decomposed Recordings | 1 |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 44 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 23 | |
| 18 | SyncTS: Automatic Synchronization of Speech and Text Documents | 3 |
| 19 | 67 | |
| 20 | 6 |
About Sebastian Ewert
Sebastian Ewert is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music, having authored 48 papers that have together received 846 indexed citations. Recurring topics across this work include Music and Audio Processing (42 papers), Speech and Audio Processing (36 papers) and Music Technology and Sound Studies (26 papers). The work is most often cited by research in Signal Processing (794 citations), Computer Vision and Pattern Recognition (526 citations) and Music (50 citations). Sebastian Ewert has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Meinard Müller, Simon Dixon, Emmanouil Benetos, Peter Grosche, Zhiyao Duan, Mark D. Plumbley, Jonathan Driedger, Matthias Mauch, Bryan Pardo and Siying Wang. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Multimedia and IEEE Signal Processing Letters.
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.