Simon Bernard
Impact in
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
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- Face and Expression Recognition
Papers in
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- Machine Learning and Data Classification 4
- Domain Adaptation and Few-Shot Learning 2
- Anomaly Detection Techniques and Applications 2
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- Face and Expression Recognition 2
- Co-authors
- Laurent Heutte (6 shared papers)Sébastien Adam (2 shared papers)Caroline Petitjean (1 shared paper)Robert Sabourin (3 shared papers)Yasmina Bauer (1 shared paper)Eric S. White (1 shared paper)Isabelle Leconte (1 shared paper)A. Morganti (1 shared paper)
- Journals
- Pattern Recognition (3 papers)Photogrammetric Engineering & Remote Sensing (1 paper)Geoscientific model development (1 paper)mBio (1 paper)Veterinary Immunology and Immunopathology (1 paper)
- Partner nations
- FranceCanadaSwitzerland
In The Last Decade
Simon Bernard
16 papers receiving 486 citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 182
- Computer Vision and Pattern Recognition 84
- Media Technology 34
- Health Information Management 12
- Pulmonary and Respiratory Medicine 81
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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 110 | |
| 2 | 2017 | 91 | |
| 3 | 2012 | 84 | |
| 4 | 2017 | 61 | |
| 5 | 2007 | 49 | |
| 6 | 2018 | 39 | |
| 7 | 2015 | 20 | |
| 8 | 2012 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 1996 | 1 |
About Simon Bernard
Simon Bernard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Geochemistry and Petrology, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 510 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (4 papers), Face and Expression Recognition (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Computer Graphics and Visualization Techniques (2 papers), Geological Modeling and Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers), Dermatologic Treatments and Research (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Artificial Intelligence (182 citations), Computer Vision and Pattern Recognition (84 citations), Media Technology (34 citations), Health Information Management (12 citations) and Pulmonary and Respiratory Medicine (81 citations). Simon Bernard has collaborated with scholars based in France, Canada and Switzerland. Frequent co-authors include Laurent Heutte, Sébastien Adam, Caroline Petitjean, Robert Sabourin, Yasmina Bauer, Eric S. White, Isabelle Leconte, A. Morganti, Sébastiên Roux and Oliver Nayler. Their work appears in journals such as Pattern Recognition, Photogrammetric Engineering & Remote Sensing, Geoscientific model development, mBio and Veterinary Immunology and Immunopathology.
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.