Michaël Defferrard
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
-
- Multimodal Machine Learning Applications 1
- Advanced Vision and Imaging 1
-
- Advanced Graph Neural Networks 2
- Topic Modeling 1
- Co-authors
- Xavier Bresson (2 shared papers)Pierre Vandergheynst (3 shared papers)Youngjoo Seo (1 shared paper)Nathanaël Perraudin (2 shared papers)Raphaël Sgier (1 shared paper)T. Kacprzak (1 shared paper)Kirell Benzi (1 shared paper)David Pascucci (1 shared paper)
- Journals
- NeuroImage (1 paper)PLoS Computational Biology (1 paper)Astronomy and Computing (1 paper)Lecture notes in computer science (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)
- Partner nations
- SwitzerlandItalySingapore
In The Last Decade
Michaël Defferrard
8 papers receiving 696 citations
Michaël Defferrard's Hit Papers
Peers
Comparison fields: 5 of 88
- Transportation 115
- Building and Construction 172
- Signal Processing 105
- Artificial Intelligence 307
- Computer Vision and Pattern Recognition 159
Countries citing papers authored by Michaël Defferrard
This map shows the geographic impact of Michaël Defferrard'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 Michaël Defferrard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Defferrard more than expected).
Fields of papers citing papers by Michaël Defferrard
This network shows the impact of papers produced by Michaël Defferrard. 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 Michaël Defferrard. The network helps show where Michaël Defferrard may publish in the future.
Co-authors
The 20 scholars most cited alongside Michaël Defferrard, 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 | Structured Sequence Modeling with Graph Convolutional Recurrent Networks Hit paper breakdown → | 2018 | 517 |
| 2 | 2019 | 92 | |
| 3 | 2017 | 54 | |
| 4 | 2020 | 35 | |
| 5 | 2020 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 5 | |
| 8 | Structured Auto-Encoder with application to Music Genre Recognition | 2015 | 1 |
About Michaël Defferrard
Michaël Defferrard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 8 papers that have together received 716 indexed citations. Recurring topics across this work include Music and Audio Processing (2 papers), Advanced Graph Neural Networks (2 papers), Multimodal Machine Learning Applications (1 paper), Advanced Vision and Imaging (1 paper), Diverse Musicological Studies (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Neural dynamics and brain function (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Transportation (115 citations), Building and Construction (172 citations), Signal Processing (105 citations), Artificial Intelligence (307 citations) and Computer Vision and Pattern Recognition (159 citations). Michaël Defferrard has collaborated with scholars based in Switzerland, Italy and Singapore. Frequent co-authors include Xavier Bresson, Pierre Vandergheynst, Youngjoo Seo, Nathanaël Perraudin, Raphaël Sgier, T. Kacprzak, Kirell Benzi, David Pascucci, Patric Hagmann and Serge Vulliémoz. Their work appears in journals such as NeuroImage, PLoS Computational Biology, Astronomy and Computing, Lecture notes in computer science and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.