Douglas Eck
Impact in
- Signal Processing top 0.5%
- Music and Audio Processing
- Speech and Audio Processing
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- Music Technology and Sound Studies
- Video Analysis and Summarization
Papers in
-
- Music Technology and Sound Studies 42
- Video Analysis and Summarization 3
-
- Music and Audio Processing 47
- Speech and Audio Processing 16
- Co-authors
- Philippe Hamel (4 shared papers)Jürgen Schmidhuber (3 shared papers)Paul Lamere (5 shared papers)Thierry Bertin-Mahieux (5 shared papers)Juergen Schmidhuber (1 shared paper)Norman Casagrande (4 shared papers)James Bergstra (3 shared papers)Balázs Kégl (4 shared papers)
- Journals
- Journal of New Music Research (2 papers)Psychological Research (1 paper)Neural Networks (1 paper)Machine Learning (1 paper)Artificial Intelligence (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Douglas Eck
58 papers receiving 1.7k citations
Douglas Eck's Hit Papers
Peers
Comparison fields: 5 of 119
- Signal Processing 1.3k
- Computer Vision and Pattern Recognition 1.2k
- Music 93
- Cognitive Neuroscience 429
- Artificial Intelligence 561
Countries citing papers authored by Douglas Eck
This map shows the geographic impact of Douglas Eck'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 Douglas Eck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas Eck more than expected).
Fields of papers citing papers by Douglas Eck
This network shows the impact of papers produced by Douglas Eck. 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 Douglas Eck. The network helps show where Douglas Eck may publish in the future.
Co-authors
The 25 scholars most cited alongside Douglas Eck, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 183 | |
| 2 | 2010 | 157 | |
| 3 | Deduplicating Training Data Makes Language Models Better Hit paper breakdown → | 2022 | 147 |
| 4 | 2003 | 128 | |
| 5 | Automatic Generation of Social Tags for Music Recommendation | 2007 | 121 |
| 6 | Music Transformer: Generating Music with Long-Term Structure | 2019 | 119 |
| 7 | 2002 | 113 | |
| 8 | 2008 | 73 | |
| 9 | 2003 | 70 | |
| 10 | 2011 | 60 | |
| 11 | 2018 | 51 | |
| 12 | 2017 | 39 | |
| 13 | 2009 | 36 | |
| 14 | 2006 | 35 | |
| 15 | 2011 | 34 | |
| 16 | 2002 | 33 | |
| 17 | 2005 | 31 | |
| 18 | 2017 | 31 | |
| 19 | 2007 | 30 | |
| 20 | 2010 | 26 |
About Douglas Eck
Douglas Eck is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Music and Audio Processing (47 papers), Music Technology and Sound Studies (42 papers), Neuroscience and Music Perception (16 papers), Speech and Audio Processing (16 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Neural Networks and Applications (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (1.2k citations), Music (93 citations), Cognitive Neuroscience (429 citations) and Artificial Intelligence (561 citations). Douglas Eck has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Philippe Hamel, Jürgen Schmidhuber, Paul Lamere, Thierry Bertin-Mahieux, Juergen Schmidhuber, Norman Casagrande, James Bergstra, Balázs Kégl, Dumitru Erhan and Stephen Green. Their work appears in journals such as Journal of New Music Research, Psychological Research, Neural Networks, Machine Learning and 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.