Simon Bernard
Impact in
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
- AI in cancer detection
-
- Face and Expression Recognition
Papers in
-
- Anomaly Detection Techniques and Applications 5
- Machine Learning and Data Classification 5
- Neural Networks and Applications 4
- Domain Adaptation and Few-Shot Learning 3
- AI in cancer detection 3
-
- Face and Expression Recognition 5
- Co-authors
- Laurent Heutte (15 shared papers)Sébastien Adam (6 shared papers)Caroline Petitjean (3 shared papers)Robert Sabourin (6 shared papers)Sébastiên Roux (1 shared paper)Isabelle Leconte (1 shared paper)Eric S. White (1 shared paper)A. Morganti (1 shared paper)
In The Last Decade
Simon Bernard
25 papers receiving 816 citations
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 370
- Computer Vision and Pattern Recognition 172
- Media Technology 48
- Health Information Management 21
- Health Informatics 4
Countries citing papers authored by Simon Bernard
This map shows the geographic impact of Simon Bernard'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 Simon Bernard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Bernard more than expected).
Fields of papers citing papers by Simon Bernard
This network shows the impact of papers produced by Simon Bernard. 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 Simon Bernard. The network helps show where Simon Bernard may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Bernard, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 122 | |
| 2 | 2009 | 118 | |
| 3 | 2017 | 102 | |
| 4 | 2012 | 96 | |
| 5 | 2017 | 67 | |
| 6 | 2007 | 65 | |
| 7 | 2018 | 52 | |
| 8 | 2018 | 43 | |
| 9 | 2008 | 42 | |
| 10 | 2015 | 27 | |
| 11 | 2012 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2012 | 17 | |
| 14 | 2010 | 15 | |
| 15 | 2009 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2012 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2018 | 3 |
About Simon Bernard
Simon Bernard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Geochemistry and Petrology, having authored 26 papers that have together received 858 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers), Machine Learning and Data Classification (5 papers), Neural Networks and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), AI in cancer detection (3 papers) and Geological Modeling and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (370 citations), Computer Vision and Pattern Recognition (172 citations), Media Technology (48 citations), Health Information Management (21 citations) and Health Informatics (4 citations). Simon Bernard has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Laurent Heutte, Sébastien Adam, Caroline Petitjean, Robert Sabourin, Sébastiên Roux, Isabelle Leconte, Eric S. White, A. Morganti, Oliver Nayler and Yasmina Bauer. Their work appears in journals such as Pattern Recognition, Mathematical Geosciences, Veterinary Immunology and Immunopathology, Pattern Recognition Letters and mBio.
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.