Vincent Gripon
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Hardware and Architecture top 10%
Papers in
-
- Domain Adaptation and Few-Shot Learning 15
- Neural Networks and Applications 12
- Machine Learning and ELM 6
- Adversarial Robustness in Machine Learning 5
-
- Advanced Neural Network Applications 7
- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 5
- Co-authors
- Claude Berrou (3 shared papers)Benoît Miramond (1 shared paper)Alain Pégatoquet (1 shared paper)Bastien Pasdeloup (5 shared papers)Michael Rabbat (3 shared papers)Grégoire Mercier (2 shared papers)Yuqing Hu (2 shared papers)Warren J. Gross (7 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Signal Processing (1 paper)Applied Sciences (1 paper)IEEE Journal on Emerging and Selected Topics in Circuits and Systems (1 paper)
In The Last Decade
Vincent Gripon
40 papers receiving 568 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 325
- Hardware and Architecture 59
- Computer Vision and Pattern Recognition 152
- Statistical and Nonlinear Physics 62
- Computer Networks and Communications 93
Countries citing papers authored by Vincent Gripon
This map shows the geographic impact of Vincent Gripon'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 Vincent Gripon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Gripon more than expected).
Fields of papers citing papers by Vincent Gripon
This network shows the impact of papers produced by Vincent Gripon. 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 Vincent Gripon. The network helps show where Vincent Gripon may publish in the future.
Co-authors
The 25 scholars most cited alongside Vincent Gripon, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2018 | 83 | |
| 3 | 2011 | 71 | |
| 4 | 2022 | 49 | |
| 5 | 2014 | 28 | |
| 6 | 2022 | 26 | |
| 7 | 2017 | 24 | |
| 8 | 2014 | 22 | |
| 9 | 2019 | 20 | |
| 10 | 2022 | 17 | |
| 11 | 2015 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2012 | 13 | |
| 14 | 2013 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2018 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2015 | 5 |
About Vincent Gripon
Vincent Gripon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Cognitive Neuroscience, having authored 44 papers that have together received 584 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (15 papers), Neural Networks and Applications (12 papers), Advanced Memory and Neural Computing (8 papers), Advanced Neural Network Applications (7 papers), Machine Learning and ELM (6 papers), Adversarial Robustness in Machine Learning (5 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (325 citations), Hardware and Architecture (59 citations), Computer Vision and Pattern Recognition (152 citations), Statistical and Nonlinear Physics (62 citations) and Computer Networks and Communications (93 citations). Vincent Gripon has collaborated with scholars based in France, Canada and Japan. Frequent co-authors include Claude Berrou, Benoît Miramond, Alain Pégatoquet, Bastien Pasdeloup, Michael Rabbat, Grégoire Mercier, Yuqing Hu, Warren J. Gross, Stéphane Pateux and Naoya Onizawa. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing, Applied Sciences and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
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.