Sebastian Ewert

87 total papers · 1.5k total citations
49 papers, 852 citations indexed

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 49 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Signal Processing, 29 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Sebastian Ewert's work include Music and Audio Processing (42 papers), Speech and Audio Processing (37 papers) and Music Technology and Sound Studies (27 papers). Sebastian Ewert is often cited by papers focused on Music and Audio Processing (42 papers), Speech and Audio Processing (37 papers) and Music Technology and Sound Studies (27 papers). Sebastian Ewert collaborates with scholars based in Germany, United Kingdom and United States. Sebastian Ewert's co-authors include Meinard Müller, Simon Dixon, Emmanouil Benetos, Zhiyao Duan, Peter Grosche, Mark D. Plumbley, Jonathan Driedger, Matthias Mauch, Bryan Pardo and Siying Wang and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Transactions on Multimedia and IEEE Signal Processing Letters.

In The Last Decade

Sebastian Ewert

46 papers receiving 800 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sebastian Ewert 800 538 124 122 55 49 852
Slim Essid 532 0.7× 377 0.7× 174 1.4× 67 0.5× 41 0.7× 55 709
Gerard Roma 593 0.7× 383 0.7× 147 1.2× 162 1.3× 35 0.6× 53 727
Eric J. Humphrey 765 1.0× 446 0.8× 223 1.8× 131 1.1× 49 0.9× 25 853
Hiroki Hashiguchi 639 0.8× 462 0.9× 121 1.0× 99 0.8× 51 0.9× 35 823
Ryuichi Oka 661 0.8× 527 1.0× 151 1.2× 109 0.9× 46 0.8× 58 823
Tillman Weyde 441 0.6× 364 0.7× 244 2.0× 112 0.9× 27 0.5× 75 753
Christopher Raphael 609 0.8× 567 1.1× 105 0.8× 181 1.5× 17 0.3× 49 832
Jordi Bonada 838 1.0× 489 0.9× 336 2.7× 178 1.5× 19 0.3× 71 918
Alexander Lerch 555 0.7× 402 0.7× 208 1.7× 163 1.3× 15 0.3× 66 829
Miller Puckette 712 0.9× 640 1.2× 87 0.7× 311 2.5× 76 1.4× 48 973

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).

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.

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

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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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