Jérôme Rony
Impact in
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- AI in cancer detection
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- Advanced Neural Network Applications
Papers in
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- Adversarial Robustness in Machine Learning 6
- Anomaly Detection Techniques and Applications 5
- AI in cancer detection 2
- Machine Learning and Data Classification 1
- Security and Verification in Computing 1
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- Digital Imaging for Blood Diseases 1
- Co-authors
- Éric Granger (6 shared papers)Ismail Ben Ayed (8 shared papers)Luiz G. Hafemann (2 shared papers)Luiz S. Oliveira (2 shared papers)Robert Sabourin (3 shared papers)José Dolz (4 shared papers)Luke Martin McCaffrey (2 shared papers)Soufiane Belharbi (2 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Lecture notes in computer science (1 paper)TECNALIA Publications (Fundación TECNALIA Research & Innovation) (1 paper)Espace ÉTS (ETS) (2 papers)arXiv (Cornell University) (2 papers)
In The Last Decade
Jérôme Rony
11 papers receiving 325 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 289
- Computer Vision and Pattern Recognition 113
- Signal Processing 48
- Hardware and Architecture 16
- Radiology, Nuclear Medicine and Imaging 41
Countries citing papers authored by Jérôme Rony
This map shows the geographic impact of Jérôme Rony'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 Jérôme Rony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Rony more than expected).
Fields of papers citing papers by Jérôme Rony
This network shows the impact of papers produced by Jérôme Rony. 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 Jérôme Rony. The network helps show where Jérôme Rony may publish in the future.
Co-authors
The 17 scholars most cited alongside Jérôme Rony, 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 | 2019 | 154 | |
| 2 | 2021 | 51 | |
| 3 | Information Maximization for Few-Shot Learning | 2020 | 37 |
| 4 | 2019 | 25 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2025 | 7 | |
| 11 | Decoupling direction and norm for efficient gradient-based l2 adversarial attacks | 2018 | 1 |
About Jérôme Rony
Jérôme Rony is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Signal Processing and Ocean Engineering, having authored 11 papers that have together received 334 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (5 papers), Bacillus and Francisella bacterial research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), AI in cancer detection (2 papers), Machine Learning and Data Classification (1 paper), Security and Verification in Computing (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Artificial Intelligence (289 citations), Computer Vision and Pattern Recognition (113 citations), Signal Processing (48 citations), Hardware and Architecture (16 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Jérôme Rony has collaborated with scholars based in Canada, France and Brazil. Frequent co-authors include Éric Granger, Ismail Ben Ayed, Luiz G. Hafemann, Luiz S. Oliveira, Robert Sabourin, José Dolz, Luke Martin McCaffrey, Soufiane Belharbi, Pablo Piantanida and Jean‐Christophe Pesquet. Their work appears in journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science, TECNALIA Publications (Fundación TECNALIA Research & Innovation), Espace ÉTS (ETS) and arXiv (Cornell University).
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.