Douglas Eck
Impact in
- Signal Processing top 0.2%
- Music and Audio Processing
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- Music Technology and Sound Studies
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Music and Audio Processing 45
- Time Series Analysis and Forecasting 2
-
- Music Technology and Sound Studies 19
- Co-authors
- Jürgen Schmidhuber (11 shared papers)Felix A. Gers (6 shared papers)Paul Lamere (5 shared papers)Thierry Bertin-Mahieux (6 shared papers)Daphne Ippolito (4 shared papers)Chris Callison-Burch (4 shared papers)Norman Casagrande (4 shared papers)James Bergstra (3 shared papers)
- Journals
- Journal of New Music Research (2 papers)Neural Networks (1 paper)Attention Perception & Psychophysics (1 paper)Music Perception An Interdisciplinary Journal (1 paper)Machine Learning (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Douglas Eck
73 papers receiving 3k citations
Douglas Eck's Hit Papers
Peers
Comparison fields: 5 of 121
- Signal Processing 1.2k
- Computer Vision and Pattern Recognition 802
- Artificial Intelligence 731
- Information Systems 276
- Management Science and Operations Research 133
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 255 | |
| 2 | 2006 | 220 | |
| 3 | 2002 | 197 | |
| 4 | Deduplicating Training Data Makes Language Models Better Hit paper breakdown → | 2022 | 191 |
| 5 | 2010 | 183 | |
| 6 | Music Transformer: Generating Music with Long-Term Structure | 2019 | 166 |
| 7 | 2020 | 156 | |
| 8 | 2003 | 152 | |
| 9 | 2002 | 132 | |
| 10 | Automatic Generation of Social Tags for Music Recommendation | 2007 | 126 |
| 11 | 2018 | 124 | |
| 12 | 2008 | 85 | |
| 13 | 2019 | 84 | |
| 14 | 2003 | 81 | |
| 15 | 2004 | 71 | |
| 16 | 2011 | 69 | |
| 17 | 2002 | 58 | |
| 18 | 2002 | 52 | |
| 19 | 2011 | 47 | |
| 20 | 2010 | 43 |
About Douglas Eck
Douglas Eck is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Music, having authored 74 papers that have together received 3.2k indexed citations. Recurring topics across this work include Music and Audio Processing (45 papers), Music Technology and Sound Studies (19 papers), Neuroscience and Music Perception (7 papers), Neural Networks and Applications (6 papers), Topic Modeling (4 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Neural dynamics and brain function (3 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Signal Processing (1.2k citations), Computer Vision and Pattern Recognition (802 citations), Artificial Intelligence (731 citations), Information Systems (276 citations) and Management Science and Operations Research (133 citations). Douglas Eck has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Jürgen Schmidhuber, Felix A. Gers, Paul Lamere, Thierry Bertin-Mahieux, Daphne Ippolito, Chris Callison-Burch, Norman Casagrande, James Bergstra, Balázs Kégl and Dumitru Erhan. Their work appears in journals such as Journal of New Music Research, Neural Networks, Attention Perception & Psychophysics, Music Perception An Interdisciplinary Journal and Machine Learning.
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.