Florian Guitton

1.0k citations
11 papers · 479 · 1 hit paper · h-index 7

Impact in

Papers in

    • Gene expression and cancer classification 4
    • Bioinformatics and Genomic Networks 3
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Research Data Management Practices 2

Florian Guitton

9 papers receiving 464 citations

Florian Guitton's Hit Papers

Privacy preservation in federated learning: An insightful survey from the GDPR perspective 2021 · 210 citations
2100+1+3Years since publication50100150200

Peers

Florian Guitton
Comparison fields: 5 of 108
  • Health Informatics 22
  • Artificial Intelligence 196
  • Information Systems 72
  • Cardiology and Cardiovascular Medicine 70
  • Radiology, Nuclear Medicine and Imaging 56
Replace Gamage Upeksha Ganegoda with:
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Ah Reum Kang South Korea
Jingshan Huang United States
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Citations per field
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Citations per year

Countries citing papers authored by Florian Guitton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Florian Guitton Line = papers co-authored together Florian Guitton links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Privacy preservation in federated learning: An insightful survey from the GDPR perspective
Hit paper breakdown →
2021210
2 2020114
3 201447
4 201946
5 202130
6 201416
7
Privacy Preservation in Federated Learning: Insights from the GDPR Perspective.
20207
8 20176
9 20193
10 20240
11 20180

About Florian Guitton

Florian Guitton is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Sociology and Political Science and Artificial Intelligence, having authored 11 papers that have together received 479 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (4 papers), Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers), Privacy-Preserving Technologies in Data (2 papers), Privacy, Security, and Data Protection (2 papers), Research Data Management Practices (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Health Informatics (22 citations), Artificial Intelligence (196 citations), Information Systems (72 citations), Cardiology and Cardiovascular Medicine (70 citations) and Radiology, Nuclear Medicine and Imaging (56 citations). Florian Guitton has collaborated with scholars based in United Kingdom, Hong Kong and Japan. Frequent co-authors include Yike Guo, Kai Sun, Nguyen B. Truong, Siyao Wang, Paul M. Matthews, Hideaki Suzuki, Abbas Dehghan, Wenjia Bai, Ioannis Pandis and Shicai Wang. Their work appears in journals such as Nature Medicine, JAMA Network Open, 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.

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