Nicolas Boulanger-Lewandowski
- Signal Processing top 2%
- Music and Audio Processing 8
- Speech and Audio Processing 7
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- Music Technology and Sound Studies 5
- Generative Adversarial Networks and Image Synthesis 1
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- Emotion and Mood Recognition 1
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 2
- Neural Networks and Applications 1
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- Force Microscopy Techniques and Applications 1
- Co-authors
- Yoshua BengioRazvan PascanuPascal VincentAaron CourvilleYann DauphinXavier BouthillierRoland MemisevicDavid Warde-Farley
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionExperimental and Cognitive Psychology
- Journals
- Physical Review B (1 paper)Journal on Multimodal User Interfaces (1 paper)Zenodo (CERN European Organization for Nuclear Research) (3 papers)
- Partner nations
- CanadaGermanyUnited Kingdom
In The Last Decade
Nicolas Boulanger-Lewandowski
11 papers receiving 763 citations
Peers
Comparison fields: 5 of 101
- Signal Processing 264
- Computer Vision and Pattern Recognition 377
- Experimental and Cognitive Psychology 162
- Artificial Intelligence 321
- Cognitive Neuroscience 97
Countries citing papers authored by Nicolas Boulanger-Lewandowski
This map shows the geographic impact of Nicolas Boulanger-Lewandowski'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 Nicolas Boulanger-Lewandowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Boulanger-Lewandowski more than expected).
Fields of papers citing papers by Nicolas Boulanger-Lewandowski
This network shows the impact of papers produced by Nicolas Boulanger-Lewandowski. 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 Nicolas Boulanger-Lewandowski. The network helps show where Nicolas Boulanger-Lewandowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicolas Boulanger-Lewandowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 263 | |
| 2 | 2015 | 25 | |
| 3 | 2015 | 29 | |
| 4 | 2014 | 6 | |
| 5 | 2014 | 10 | |
| 6 | 2013 | 272 | |
| 7 | 2013 | 48 | |
| 8 | 2013 | 71 | |
| 9 | 2012 | 14 | |
| 10 | Deep Learners Benefit More from Out-of-Distribution Examples | 2011 | 52 |
| 11 | 2011 | 11 |
About Nicolas Boulanger-Lewandowski
Nicolas Boulanger-Lewandowski is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 801 indexed citations. Recurring topics across this work include Music and Audio Processing (8 papers), Speech and Audio Processing (7 papers), Music Technology and Sound Studies (5 papers), Speech Recognition and Synthesis (2 papers), Force Microscopy Techniques and Applications (1 paper), Emotion and Mood Recognition (1 paper), Neural Networks and Applications (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Signal Processing (264 citations), Computer Vision and Pattern Recognition (377 citations) and Experimental and Cognitive Psychology (162 citations). Nicolas Boulanger-Lewandowski has collaborated with scholars based in Canada, Germany and United Kingdom. Frequent co-authors include Yoshua Bengio, Razvan Pascanu, Pascal Vincent, Aaron Courville, Yann Dauphin, Xavier Bouthillier, Roland Memisevic, David Warde-Farley, Sébastien Jean and Çaǧlar Gülçehre. Their work appears in journals such as Physical Review B, Journal on Multimodal User Interfaces and Zenodo (CERN European Organization for Nuclear Research).
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.