Douglas Eck

72 papers receiving 2.6k citations

Douglas Eck's Hit Papers

Deduplicating Training Data Makes Language Models Better 2022 · 171 citations
1710+1+2Years since publication50100150

Peers

Douglas Eck
Comparison fields: 5 of 135
  • Signal Processing 1.7k
  • Computer Vision and Pattern Recognition 1.5k
  • Music 122
  • Cognitive Neuroscience 596
  • Artificial Intelligence 913
Replace Jialie Shen with:
Jialie Shen Singapore
Bhuvana Ramabhadran United States
Ali Taylan Cemgil Türkiye
Kai Yu China
Martin Karafiát Czechia
Françoise Beaufays United States
Marco Tagliasacchi Italy
John F. Kolen United States
Santiago Fernández Switzerland
Ishwar K. Sethi United States
Douglas Eck relative to Jialie Shen Singapore Jialie Shen's profile →
Citations per field
00.5×4.4×
Jialie Shen · 1×
Citations per year

Countries citing papers authored by Douglas Eck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Douglas Eck Line = papers co-authored together Douglas Eck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001246
2 2006213
3 2002197
4 2010180
5
Deduplicating Training Data Makes Language Models Better
Hit paper breakdown →
2022171
6 2003152
7
Music Transformer: Generating Music with Long-Term Structure
2019146
8
Automatic Generation of Social Tags for Music Recommendation
2007133
9 2002129
10 200884
11 200380
12 200469
13 201868
14 201167
15 200250
16 201146
17 201741
18 200941
19 200639
20 201038

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 2.9k indexed citations. Recurring topics across this work include Music and Audio Processing (52 papers), Music Technology and Sound Studies (46 papers), Neuroscience and Music Perception (19 papers), Speech and Audio Processing (17 papers), Topic Modeling (8 papers), Neural Networks and Applications (7 papers), Neural dynamics and brain function (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Signal Processing (1.7k citations), Computer Vision and Pattern Recognition (1.5k citations), Music (122 citations), Cognitive Neuroscience (596 citations) and Artificial Intelligence (913 citations). Douglas Eck has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Jürgen Schmidhuber, Felix A. Gers, Philippe Hamel, Paul Lamere, Juergen Schmidhuber, Thierry Bertin-Mahieux, Norman Casagrande, James Bergstra, Balázs Kégl and Dumitru Erhan. Their work appears in journals such as Journal of New Music Research, ACM Transactions on Multimedia Computing Communications and Applications, Attention Perception & Psychophysics, Music Perception An Interdisciplinary Journal and Lecture notes in computer science.

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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