Frank Kurth

95 total papers · 1.7k total citations
63 papers, 1.0k citations indexed

About

Frank Kurth is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Frank Kurth has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Signal Processing, 37 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Frank Kurth's work include Music and Audio Processing (47 papers), Speech and Audio Processing (38 papers) and Music Technology and Sound Studies (27 papers). Frank Kurth is often cited by papers focused on Music and Audio Processing (47 papers), Speech and Audio Processing (38 papers) and Music Technology and Sound Studies (27 papers). Frank Kurth collaborates with scholars based in Germany, United States and United Kingdom. Frank Kurth's co-authors include Meinard Müller, Michael Clausen, Karl‐Heinz Frommolt, Rolf Bardeli, Daniel Wolff, Markus Koch, Christian Fremerey, Peter Grosche, David Damm and Tido Röder and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and Pattern Recognition Letters.

In The Last Decade

Frank Kurth

56 papers receiving 931 citations

Author Peers

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

Author Last Decade Papers Cites
Frank Kurth 823 602 222 143 136 63 1.0k
Chin‐Chuan Han 270 0.3× 600 1.0× 139 0.6× 111 0.8× 75 0.6× 70 1.0k
Matthias Zeppelzauer 172 0.2× 413 0.7× 149 0.7× 326 2.3× 137 1.0× 87 1.1k
Peter Jančovič 403 0.5× 72 0.1× 150 0.7× 274 1.9× 57 0.4× 86 809
Lorenzo Picinali 193 0.2× 120 0.2× 151 0.7× 172 1.2× 130 1.0× 88 1.0k
Mathieu Lagrange 861 1.0× 398 0.7× 127 0.6× 244 1.7× 18 0.1× 64 1.1k
Eric P. Kasten 120 0.1× 65 0.1× 361 1.6× 304 2.1× 290 2.1× 26 969
Balaji Lakshminarayanan 159 0.2× 202 0.3× 136 0.6× 333 2.3× 66 0.5× 46 999
Yin Cao 684 0.8× 268 0.4× 57 0.3× 265 1.9× 14 0.1× 38 1.0k
Barry Truax 288 0.3× 527 0.9× 94 0.4× 15 0.1× 69 0.5× 59 1.1k
Jingyu Wang 240 0.3× 568 0.9× 73 0.3× 401 2.8× 12 0.1× 117 1.2k

Countries citing papers authored by Frank Kurth

Since Specialization
Citations

This map shows the geographic impact of Frank Kurth'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 Frank Kurth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Kurth more than expected).

Fields of papers citing papers by Frank Kurth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Kurth. 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 Frank Kurth. The network helps show where Frank Kurth may publish in the future.

Co-authorship network of co-authors of Frank Kurth

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Kurth. A scholar is included among the top collaborators of Frank Kurth 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 Frank Kurth. Frank Kurth 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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