Florian Guitton
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- AI in cancer detection
- Cryptography and Data Security
- Domain Adaptation and Few-Shot Learning
Papers in
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- Scientific Computing and Data Management 4
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Yike Guo (11 shared papers)Kai Sun (3 shared papers)Nguyen Binh Truong (2 shared papers)Siyao Wang (1 shared paper)Wenjia Bai (4 shared papers)Paul McMahan Matthews (3 shared papers)Giacomo Tarroni (3 shared papers)Daniel Rueckert (3 shared papers)
- Journals
- JAMA Network Open (1 paper)Nature Medicine (1 paper)Computers & Security (1 paper)BMC Genomics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomHong KongJapan
In The Last Decade
Florian Guitton
11 papers receiving 703 citations
Florian Guitton's Hit Papers
Peers
Comparison fields: 5 of 111
- Health Informatics 30
- Artificial Intelligence 308
- Radiology, Nuclear Medicine and Imaging 130
- Computer Vision and Pattern Recognition 101
- Information Systems 88
Countries citing papers authored by Florian Guitton
This map shows the geographic impact of Florian Guitton'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 Florian Guitton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Guitton more than expected).
Fields of papers citing papers by Florian Guitton
This network shows the impact of papers produced by Florian Guitton. 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 Florian Guitton. The network helps show where Florian Guitton may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Guitton, 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 | Privacy preservation in federated learning: An insightful survey from the GDPR perspective Hit paper breakdown → | 2021 | 261 |
| 2 | 2020 | 171 | |
| 3 | 2019 | 106 | |
| 4 | 2019 | 53 | |
| 5 | 2014 | 50 | |
| 6 | 2021 | 34 | |
| 7 | 2019 | 21 | |
| 8 | 2014 | 18 | |
| 9 | 2017 | 6 | |
| 10 | 2014 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2018 | 0 |
About Florian Guitton
Florian Guitton is a scholar working on Information Systems and Management, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Information Systems and Molecular Biology, having authored 13 papers that have together received 724 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Scientific Computing and Data Management (4 papers), Bioinformatics and Genomic Networks (2 papers), Medical Image Segmentation Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Neural Network Applications (2 papers), Research Data Management Practices (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Health Informatics (30 citations), Artificial Intelligence (308 citations), Radiology, Nuclear Medicine and Imaging (130 citations), Computer Vision and Pattern Recognition (101 citations) and Information Systems (88 citations). Florian Guitton has collaborated with scholars based in United Kingdom, Hong Kong and Japan. Frequent co-authors include Yike Guo, Kai Sun, Nguyen Binh Truong, Siyao Wang, Wenjia Bai, Paul McMahan Matthews, Giacomo Tarroni, Daniel Rueckert, Steffen Erhard Petersen and Hideaki Suzuki. Their work appears in journals such as JAMA Network Open, Nature Medicine, Computers & Security, BMC Genomics and BMC Bioinformatics.
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.