Gerhard Widmer
Impact in
- Signal Processing top 0.05%
- Music and Audio Processing
- Speech and Audio Processing
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- Music Technology and Sound Studies
- Video Analysis and Summarization
Papers in
-
- Music and Audio Processing 202
- Speech and Audio Processing 78
- Time Series Analysis and Forecasting 11
-
- Music Technology and Sound Studies 142
- Video Analysis and Summarization 19
- Co-authors
- Miroslav Kubát (5 shared papers)Elias Pampalk (17 shared papers)Markus Schedl (38 shared papers)Peter Knees (31 shared papers)Simon Dixon (14 shared papers)Sebastian Böck (16 shared papers)Tim Pohle (28 shared papers)Arthur Flexer (16 shared papers)
- Journals
- Journal of New Music Research (9 papers)Machine Learning (6 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (6 papers)Computer Music Journal (4 papers)Applied Artificial Intelligence (2 papers)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Gerhard Widmer
233 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Signal Processing 3.7k
- Computer Vision and Pattern Recognition 3.1k
- Music 248
- Artificial Intelligence 2.4k
- Cognitive Neuroscience 1.1k
Countries citing papers authored by Gerhard Widmer
This map shows the geographic impact of Gerhard Widmer'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 Gerhard Widmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Widmer more than expected).
Fields of papers citing papers by Gerhard Widmer
This network shows the impact of papers produced by Gerhard Widmer. 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 Gerhard Widmer. The network helps show where Gerhard Widmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerhard Widmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning in the Presence of Concept Drift and Hidden Contexts Hit paper breakdown → | 1996 | 892 |
| 2 | Learning in the presence of concept drift and hidden contexts Hit paper breakdown → | 1996 | 749 |
| 3 | 2005 | 153 | |
| 4 | 2004 | 115 | |
| 5 | 2022 | 112 | |
| 6 | 2016 | 107 | |
| 7 | Proceedings of the 9th European Conference on Machine Learning | 1997 | 95 |
| 8 | 2004 | 81 | |
| 9 | 2005 | 79 | |
| 10 | 1997 | 79 | |
| 11 | Evaluating Rhythmic descriptors for Musical Genre Classification | 2004 | 77 |
| 12 | 2005 | 76 | |
| 13 | 2004 | 76 | |
| 14 | 2007 | 73 | |
| 15 | 2004 | 70 | |
| 16 | 2002 | 70 | |
| 17 | 2008 | 69 | |
| 18 | 2016 | 67 | |
| 19 | Maximum Filter Vibrato Suppression for Onset Detection | 2013 | 64 |
| 20 | 2003 | 54 |
About Gerhard Widmer
Gerhard Widmer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Music, having authored 241 papers that have together received 5.8k indexed citations. Recurring topics across this work include Music and Audio Processing (202 papers), Music Technology and Sound Studies (142 papers), Speech and Audio Processing (78 papers), Neuroscience and Music Perception (64 papers), Speech Recognition and Synthesis (23 papers), Video Analysis and Summarization (19 papers), Time Series Analysis and Forecasting (11 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Signal Processing (3.7k citations), Computer Vision and Pattern Recognition (3.1k citations), Music (248 citations), Artificial Intelligence (2.4k citations) and Cognitive Neuroscience (1.1k citations). Gerhard Widmer has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Miroslav Kubát, Elias Pampalk, Markus Schedl, Peter Knees, Simon Dixon, Sebastian Böck, Tim Pohle, Arthur Flexer, Werner Goebl and Florian Krebs. Their work appears in journals such as Journal of New Music Research, Machine Learning, IEEE/ACM Transactions on Audio Speech and Language Processing, Computer Music Journal and Applied Artificial Intelligence.
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.