Matthias Dorfer

700 total citations
22 papers, 235 citations indexed

About

Matthias Dorfer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Matthias Dorfer has authored 22 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Matthias Dorfer's work include Music and Audio Processing (15 papers), Music Technology and Sound Studies (11 papers) and Speech and Audio Processing (6 papers). Matthias Dorfer is often cited by papers focused on Music and Audio Processing (15 papers), Music Technology and Sound Studies (11 papers) and Speech and Audio Processing (6 papers). Matthias Dorfer collaborates with scholars based in Austria, Germany and Czechia. Matthias Dorfer's co-authors include Gerhard Widmer, Richard Vogl, Peter Knees, Andreas Arzt, Andreu Vall, Filip Korzeniowski, Markus Schedl, Hamid Eghbal-zadeh, Sebastian Böck and Jan Schlüter and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Signal Processing Magazine and Medical Image Analysis.

In The Last Decade

Matthias Dorfer

22 papers receiving 221 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 Dorfer Austria 10 184 180 44 37 30 22 235
Chitralekha Gupta Singapore 10 166 0.9× 62 0.3× 125 2.8× 16 0.4× 25 0.8× 33 218
Xingjian Du China 6 175 1.0× 76 0.4× 101 2.3× 17 0.5× 10 0.3× 16 232
Norman Casagrande Canada 5 193 1.0× 164 0.9× 81 1.8× 12 0.3× 35 1.2× 6 276
Giorgio Zoia Switzerland 5 261 1.4× 209 1.2× 37 0.8× 25 0.7× 51 1.7× 22 290
Rainer Typke Netherlands 9 366 2.0× 338 1.9× 71 1.6× 33 0.9× 74 2.5× 12 417
David Torres-Moreno United States 3 216 1.2× 202 1.1× 174 4.0× 11 0.3× 41 1.4× 4 342
David Rizo Spain 8 198 1.1× 176 1.0× 38 0.9× 35 0.9× 37 1.2× 33 212
Xinhao Mei United Kingdom 9 223 1.2× 129 0.7× 128 2.9× 12 0.3× 10 0.3× 16 289
Sebastian Streich Spain 7 235 1.3× 190 1.1× 19 0.4× 13 0.4× 33 1.1× 12 242
Moray Allan United Kingdom 7 82 0.4× 198 1.1× 69 1.6× 5 0.1× 48 1.6× 7 215

Countries citing papers authored by Matthias Dorfer

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Dorfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Dorfer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Dorfer. A scholar is included among the top collaborators of Matthias Dorfer 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 Dorfer. Matthias Dorfer 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.
Dorfer, Matthias, et al.. (2019). Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval. Zenodo (CERN European Organization for Nuclear Research). 216–222. 1 indexed citations
2.
Dorfer, Matthias, et al.. (2019). Score Following as a Multi-Modal Reinforcement Learning Problem. SHILAP Revista de lepidopterología. 2(1). 67–81. 9 indexed citations
3.
Vall, Andreu, et al.. (2019). Feature-combination hybrid recommender systems for automated music playlist continuation. User Modeling and User-Adapted Interaction. 29(2). 527–572. 38 indexed citations
4.
Dorfer, Matthias, et al.. (2018). Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. Zenodo (CERN European Organization for Nuclear Research). 784–791. 3 indexed citations
5.
Arzt, Andreas, et al.. (2018). Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. IEEE Signal Processing Magazine. 36(1). 52–62. 26 indexed citations
6.
Dorfer, Matthias, et al.. (2018). Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification. 1(1). 22–22. 1 indexed citations
7.
Dorfer, Matthias, et al.. (2018). Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets. Zenodo (CERN European Organization for Nuclear Research). 225–232. 14 indexed citations
8.
Dorfer, Matthias, et al.. (2017). MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach.. MediaEval. 1 indexed citations
9.
Vogl, Richard, Matthias Dorfer, Gerhard Widmer, & Peter Knees. (2017). Drum Transcription Via Joint Beat And Drum Modeling Using Convolutional Recurrent Neural Networks.. Zenodo (CERN European Organization for Nuclear Research). 150–157. 18 indexed citations
10.
Dorfer, Matthias, et al.. (2017). On the Potential of Fully Convolutional Neural Networks for Musical Symbol Detection. 1. 53–54. 1 indexed citations
11.
Vogl, Richard, Matthias Dorfer, & Peter Knees. (2017). Drum transcription from polyphonic music with recurrent neural networks. 201–205. 20 indexed citations
12.
Dorfer, Matthias. (2017). Learning Audio – Sheet Music Correspondences for Score Identification and Offline Alignment. Zenodo (CERN European Organization for Nuclear Research). 115–122. 5 indexed citations
13.
Krebs, Florian, Sebastian Böck, Matthias Dorfer, & Gerhard Widmer. (2016). Downbeat Tracking Using Beat Synchronous Features With Recurrent Neural Networks.. Zenodo (CERN European Organization for Nuclear Research). 129–135. 12 indexed citations
14.
Dorfer, Matthias & Julian Mattes. (2016). Recursive water flow: A shape decomposition approach for cell clump splitting. 23. 811–815. 1 indexed citations
15.
Dorfer, Matthias, et al.. (2016). On The Potential Of Simple Framewise Approaches To Piano Transcription.. International Symposium/Conference on Music Information Retrieval. 475–481. 20 indexed citations
16.
Vogl, Richard, Matthias Dorfer, & Peter Knees. (2016). Recurrent Neural Networks For Drum Transcription.. Zenodo (CERN European Organization for Nuclear Research). 730–736. 10 indexed citations
17.
18.
Dorfer, Matthias, et al.. (2015). Creating a large-scale silver corpus from multiple algorithmic segmentations. ArODES (HES-SO (https://www.hes-so.ch/)). 2 indexed citations
19.
Dorfer, Matthias, René Donner, & Georg Langs. (2013). Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling. Lecture notes in computer science. 16(Pt 1). 219–226. 1 indexed citations
20.

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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