Maxime Devanne
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
Papers in
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- Time Series Analysis and Forecasting 15
- Music and Audio Processing 7
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- Human Pose and Action Recognition 13
- Advanced Neural Network Applications 4
- Co-authors
- Stefano Berretti (14 shared papers)Mohamed Daoudi (7 shared papers)Alberto Del Bimbo (6 shared papers)Pietro Pala (6 shared papers)Hazem Wannous (6 shared papers)Germain Forestier (20 shared papers)Jonathan Weber (22 shared papers)François Ghiringhelli (2 shared papers)
In The Last Decade
Maxime Devanne
40 papers receiving 766 citations
Peers
Comparison fields: 5 of 81
- Human-Computer Interaction 165
- Computer Vision and Pattern Recognition 462
- Artificial Intelligence 360
- Signal Processing 109
- Radiology, Nuclear Medicine and Imaging 117
Countries citing papers authored by Maxime Devanne
This map shows the geographic impact of Maxime Devanne'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 Maxime Devanne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Devanne more than expected).
Fields of papers citing papers by Maxime Devanne
This network shows the impact of papers produced by Maxime Devanne. 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 Maxime Devanne. The network helps show where Maxime Devanne may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Devanne, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 264 | |
| 2 | 2021 | 166 | |
| 3 | 2013 | 56 | |
| 4 | 2016 | 41 | |
| 5 | 2022 | 26 | |
| 6 | 2017 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2023 | 12 | |
| 14 | 2025 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2023 | 7 |
About Maxime Devanne
Maxime Devanne is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction and Biomedical Engineering, having authored 45 papers that have together received 791 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (18 papers), Time Series Analysis and Forecasting (15 papers), Human Pose and Action Recognition (13 papers), Music and Audio Processing (7 papers), Gait Recognition and Analysis (4 papers), Adversarial Robustness in Machine Learning (4 papers), Advanced Neural Network Applications (4 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (165 citations), Computer Vision and Pattern Recognition (462 citations), Artificial Intelligence (360 citations), Signal Processing (109 citations) and Radiology, Nuclear Medicine and Imaging (117 citations). Maxime Devanne has collaborated with scholars based in France, Italy and Australia. Frequent co-authors include Stefano Berretti, Mohamed Daoudi, Alberto Del Bimbo, Pietro Pala, Hazem Wannous, Germain Forestier, Jonathan Weber, François Ghiringhelli, Cédric Wemmert and Valentin Dérangère. Their work appears in journals such as Lecture notes in computer science, Artificial Intelligence in Medicine, Computers in Biology and Medicine, IEEE Transactions on Cybernetics and BioMed Research International.
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.