Matthias Mauch

77 total papers · 2.1k total citations
40 papers, 1.2k citations indexed

About

Matthias Mauch is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Matthias Mauch has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Signal Processing, 30 papers in Computer Vision and Pattern Recognition and 6 papers in Cognitive Neuroscience. Recurrent topics in Matthias Mauch's work include Music and Audio Processing (36 papers), Music Technology and Sound Studies (30 papers) and Speech and Audio Processing (24 papers). Matthias Mauch is often cited by papers focused on Music and Audio Processing (36 papers), Music Technology and Sound Studies (30 papers) and Speech and Audio Processing (24 papers). Matthias Mauch collaborates with scholars based in United Kingdom, Japan and United States. Matthias Mauch's co-authors include Simon Dixon, Armand M. Leroi, Robert M. MacCallum, M. Lévy, Rachel Bittner, Justin Salamon, Chris Cannam, Juan Pablo Bello, Masataka Goto and Hiromasa Fujihara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of the Acoustical Society of America and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Matthias Mauch

39 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Matthias Mauch 1.0k 722 287 232 137 40 1.2k
Joan Serrà 1.0k 1.0× 759 1.1× 290 1.0× 324 1.4× 107 0.8× 81 1.4k
Curtis Roads 823 0.8× 970 1.3× 553 1.9× 135 0.6× 101 0.7× 60 1.4k
Peter Knees 944 0.9× 856 1.2× 191 0.7× 339 1.5× 76 0.6× 92 1.2k
Luke Barrington 746 0.7× 729 1.0× 171 0.6× 379 1.6× 36 0.3× 28 1.4k
Pedro Cano 1.1k 1.0× 916 1.3× 144 0.5× 278 1.2× 58 0.4× 64 1.5k
Beth Logan 1.0k 1.0× 758 1.0× 135 0.5× 403 1.7× 60 0.4× 26 1.3k
Barry Truax 288 0.3× 527 0.7× 330 1.1× 15 0.1× 238 1.7× 59 1.1k
Chris Chafe 434 0.4× 670 0.9× 536 1.9× 38 0.2× 80 0.6× 60 1.1k
Arthur Flexer 863 0.8× 727 1.0× 474 1.7× 319 1.4× 58 0.4× 71 1.4k
Eugene Narmour 569 0.6× 366 0.5× 760 2.6× 47 0.2× 279 2.0× 22 972

Countries citing papers authored by Matthias Mauch

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Mauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Mauch

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