Sebastian Ewert

48 papers and 910 indexed citations i.

About

Sebastian Ewert is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sebastian Ewert has authored 48 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Signal Processing, 29 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Sebastian Ewert’s work include Music and Audio Processing (46 papers), Speech and Audio Processing (40 papers) and Music Technology and Sound Studies (28 papers). Sebastian Ewert is often cited by papers focused on Music and Audio Processing (46 papers), Speech and Audio Processing (40 papers) and Music Technology and Sound Studies (28 papers). Sebastian Ewert collaborates with scholars based in United Kingdom, Germany and United States. Sebastian Ewert's co-authors include Meinard Müller, Simon Dixon, Daniel Stoller, Emmanouil Benetos, Peter Grosche, Zhiyao Duan, M. Sandler, Mark D. Plumbley, Matthias Mauch and Bryan Pardo and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Signal Processing Letters and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Sebastian Ewert i

Fields of papers citing papers by Sebastian Ewert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sebastian Ewert

Since Specialization
Citations

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).

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.

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2025