Jean-François Paiement
- Transportation top 5%
- Human Mobility and Location-Based Analysis 2
- Transportation Planning and Optimization 1
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- Music Technology and Sound Studies 8
- Signal Processing top 5%
- Music and Audio Processing 8
- Artificial Intelligence top 10%
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- Neuroscience and Music Perception 7
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- Recommender Systems and Techniques 2
- Information Retrieval and Search Behavior 1
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- Sparse and Compressive Sensing Techniques 1
- Co-authors
- Yoshua BengioMarie Claude OuimetNicolas Le RouxPascal VincentOlivier DelalleauAlexei PozdnoukhovM. T. YinSamy Bengio
- Journals
- Artificial Intelligence (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Information Systems Research (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Jean-François Paiement
11 papers receiving 413 citations
Peers
Comparison fields: 5 of 78
- Transportation 112
- Computer Vision and Pattern Recognition 209
- Signal Processing 103
- Computational Mathematics 3
- Artificial Intelligence 120
Countries citing papers authored by Jean-François Paiement
This map shows the geographic impact of Jean-François Paiement'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 Jean-François Paiement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-François Paiement more than expected).
Fields of papers citing papers by Jean-François Paiement
This network shows the impact of papers produced by Jean-François Paiement. 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 Jean-François Paiement. The network helps show where Jean-François Paiement may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Jean-François Paiement, 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 | 2023 | 0 | |
| 2 | 2017 | 130 | |
| 3 | 2013 | 2 | |
| 4 | 2010 | 34 | |
| 5 | 2009 | 10 | |
| 6 | 2009 | 8 | |
| 7 | 2008 | 2 | |
| 8 | 2008 | 6 | |
| 9 | A Generative Model for Rhythms | 2007 | 10 |
| 10 | A Generative Model for Distance Patterns in Music | 2007 | 0 |
| 11 | 2005 | 11 | |
| 12 | 2005 | 31 | |
| 13 | 2004 | 205 |
About Jean-François Paiement
Jean-François Paiement is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 13 papers that have together received 449 indexed citations. Recurring topics across this work include Music and Audio Processing (8 papers), Music Technology and Sound Studies (8 papers), Neuroscience and Music Perception (7 papers), Recommender Systems and Techniques (2 papers), Human Mobility and Location-Based Analysis (2 papers), Information Retrieval and Search Behavior (1 paper), Sparse and Compressive Sensing Techniques (1 paper) and Transportation Planning and Optimization (1 paper). The work is most often cited by research in Transportation (112 citations), Computer Vision and Pattern Recognition (209 citations) and Signal Processing (103 citations). Jean-François Paiement has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Yoshua Bengio, Marie Claude Ouimet, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Alexei Pozdnoukhov, M. T. Yin, Samy Bengio, Douglas Eck and Fernando Díaz. Their work appears in journals such as Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems and Information Systems 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.