Matthias Mauch

2.1k total citations
39 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 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 29 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 (35 papers), Music Technology and Sound Studies (29 papers) and Speech and Audio Processing (23 papers). Matthias Mauch is often cited by papers focused on Music and Audio Processing (35 papers), Music Technology and Sound Studies (29 papers) and Speech and Audio Processing (23 papers). Matthias Mauch collaborates with scholars based in United Kingdom, Japan and Germany. Matthias Mauch's co-authors include Simon Dixon, Armand M. Leroi, Robert M. MacCallum, M. Lévy, Chris Cannam, Justin Salamon, Juan Pablo Bello, Rachel Bittner, 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

38 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthias Mauch United Kingdom 18 1.0k 719 286 237 137 39 1.2k
M. Lévy United Kingdom 10 425 0.4× 355 0.5× 138 0.5× 91 0.4× 67 0.5× 22 567
Frans Wiering Netherlands 16 756 0.7× 640 0.9× 312 1.1× 121 0.5× 122 0.9× 69 898
Anja Volk Netherlands 14 512 0.5× 436 0.6× 297 1.0× 57 0.2× 138 1.0× 69 640
Nicola Orio Italy 14 469 0.5× 554 0.8× 222 0.8× 176 0.7× 46 0.3× 73 772
Emilios Cambouropoulos Greece 16 542 0.5× 465 0.6× 384 1.3× 129 0.5× 81 0.6× 53 722
Pierre Roy France 15 363 0.4× 321 0.4× 146 0.5× 117 0.5× 34 0.2× 49 602
André Holzapfel Sweden 16 615 0.6× 506 0.7× 272 1.0× 85 0.4× 119 0.9× 67 806
Mathieu Barthet United Kingdom 16 398 0.4× 490 0.7× 264 0.9× 71 0.3× 56 0.4× 73 750
Allen Forte United States 14 340 0.3× 463 0.6× 486 1.7× 25 0.1× 541 3.9× 69 936
Vincenzo Lombardo Italy 15 98 0.1× 229 0.3× 161 0.6× 557 2.4× 8 0.1× 121 991

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

20 of 20 papers shown
1.
2.
Lambert, Ben, Georgios Kontonatsios, Matthias Mauch, et al.. (2020). The pace of modern culture. Nature Human Behaviour. 4(4). 352–360. 20 indexed citations
3.
Weiß, Ch., Matthias Mauch, Simon Dixon, & Meinard Müller. (2018). Investigating style evolution of Western classical music: A computational approach. Musicae Scientiae. 23(4). 486–507. 31 indexed citations
4.
Mauch, Matthias, et al.. (2015). Analysis Of Intonation Trajectories In Solo Singing.. Zenodo (CERN European Organization for Nuclear Research). 420–426. 9 indexed citations
5.
Mauch, Matthias, Chris Cannam, Rachel Bittner, et al.. (2015). Computer-Aided Melody Note Transcription Using The Tony Software: Accuracy And Efficiency. Queen Mary Research Online (Queen Mary University of London). 65 indexed citations
6.
Mauch, Matthias, Robert M. MacCallum, M. Lévy, & Armand M. Leroi. (2015). The evolution of popular music: USA 1960–2010. Royal Society Open Science. 2(5). 150081–150081. 122 indexed citations
7.
Bittner, Rachel, et al.. (2014). Medleydb: A Multitrack Dataset For Annotation-Intensive Mir Research.. Zenodo (CERN European Organization for Nuclear Research). 155–160. 146 indexed citations
8.
Foster, Peter, Matthias Mauch, & Simon Dixon. (2014). Sequential Complexity as a Descriptor for Musical Similarity. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(12). 1965–1977. 7 indexed citations
9.
Mauch, Matthias & Simon Dixon. (2014). PYIN: A fundamental frequency estimator using probabilistic threshold distributions. 659–663. 214 indexed citations
10.
Bittner, Rachel, et al.. (2014). MedleyDB: A multitrack dataset for annotation-intensive MIR research. 15th International Society for Music Information Retrieval Conference, ISMIR 2014. 1 indexed citations
11.
Cheng, Tian, Simon Dixon, & Matthias Mauch. (2013). A DETERMINISTIC ANNEALING EM ALGORITHM FOR AUTOMATIC MUSIC TRANSCRIPTION. Queen Mary Research Online (Queen Mary University of London). 475–480. 5 indexed citations
12.
Goto, Masataka, Jun Ogata, Kazuyoshi Yoshii, et al.. (2012). PodCastle and songle. 24. 1–2. 3 indexed citations
13.
MacCallum, Robert M., Matthias Mauch, Austin Burt, & Armand M. Leroi. (2012). Evolution of music by public choice. Proceedings of the National Academy of Sciences. 109(30). 12081–12086. 47 indexed citations
14.
Mauch, Matthias, Hiromasa Fujihara, & Masataka Goto. (2011). Integrating Additional Chord Information Into HMM-Based Lyrics-to-Audio Alignment. IEEE Transactions on Audio Speech and Language Processing. 20(1). 200–210. 27 indexed citations
15.
Goto, Masataka, Kazuyoshi Yoshii, Hiromasa Fujihara, Matthias Mauch, & Tomoyasu Nakano. (2011). Songle: A Web Service For Active Music Listening Improved By User Contributions.. Zenodo (CERN European Organization for Nuclear Research). 311–316. 48 indexed citations
16.
Mauch, Matthias & Simon Dixon. (2010). Approximate Note Transcription For The Improved Identification Of Difficult Chords.. Zenodo (CERN European Organization for Nuclear Research). 135–140. 86 indexed citations
17.
Benetos, Emmanouil, et al.. (2010). Improving Music Genre Classification Using Automatically Induced Harmony Rules. Journal of New Music Research. 39(4). 349–361. 21 indexed citations
18.
Crawford, Tim, Matthias Mauch, & Christophe Rhodes. (2010). Recognising Classical Works In Historical Recordings.. Zenodo (CERN European Organization for Nuclear Research). 495–500. 4 indexed citations
19.
Mauch, Matthias, et al.. (2009). Using Musical Structure To Enhance Automatic Chord Transcription.. Zenodo (CERN European Organization for Nuclear Research). 231–236. 47 indexed citations
20.
Mauch, Matthias & Simon Dixon. (2008). A Discrete Mixture Model For Chord Labelling.. International Symposium/Conference on Music Information Retrieval. 17(Pt 3). 45–50. 11 indexed citations

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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