Jan Schlüter

56 total papers · 2.5k total citations
34 papers, 1.3k citations indexed

About

Jan Schlüter is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jan Schlüter has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Signal Processing, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Jan Schlüter's work include Music and Audio Processing (23 papers), Speech and Audio Processing (13 papers) and Music Technology and Sound Studies (9 papers). Jan Schlüter is often cited by papers focused on Music and Audio Processing (23 papers), Speech and Audio Processing (13 papers) and Music Technology and Sound Studies (9 papers). Jan Schlüter collaborates with scholars based in Austria, Germany and United States. Jan Schlüter's co-authors include Thomas Grill, Sebastian Böck, Tuomas Virtanen, Tara N. Sainath, Shuo-Yiin Chang, H.‐G. Purwins, Bo Li, Gerhard Widmer, Hamid Eghbal-zadeh and Filip Korzeniowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Selected Topics in Signal Processing and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Jan Schlüter

31 papers receiving 1.2k citations

Hit Papers

Deep Learning for Audio S... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jan Schlüter 834 548 373 146 119 34 1.3k
Qiuqiang Kong 1.3k 1.6× 704 1.3× 605 1.6× 118 0.8× 111 0.9× 62 1.8k
Sourish Chaudhuri 1.1k 1.3× 688 1.3× 514 1.4× 123 0.8× 92 0.8× 20 1.6k
Eric Battenberg 1.3k 1.5× 543 1.0× 574 1.5× 222 1.5× 135 1.1× 15 1.8k
Mathieu Lagrange 861 1.0× 398 0.7× 244 0.7× 123 0.8× 127 1.1× 64 1.1k
Yandre M. G. Costa 623 0.7× 461 0.8× 463 1.2× 82 0.6× 142 1.2× 65 1.3k
Yuan Gong 544 0.7× 413 0.8× 497 1.3× 41 0.3× 44 0.4× 36 1.3k
Antti Eronen 1.2k 1.4× 756 1.4× 246 0.7× 162 1.1× 83 0.7× 28 1.3k
Yu-An Chung 975 1.2× 290 0.5× 1.1k 3.0× 46 0.3× 49 0.4× 24 1.7k
Stavros Ntalampiras 726 0.9× 251 0.5× 485 1.3× 70 0.5× 262 2.2× 103 1.5k
Shlomo Dubnov 1.0k 1.2× 713 1.3× 386 1.0× 323 2.2× 27 0.2× 93 1.4k

Countries citing papers authored by Jan Schlüter

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schlüter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Schlüter

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