Florian Bourse
Impact in
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Cryptographic Implementations and Security
- Coding theory and cryptography
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- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 8
- Privacy-Preserving Technologies in Data 4
- Cryptographic Implementations and Security 2
- Coding theory and cryptography 2
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- Complexity and Algorithms in Graphs 5
- Co-authors
- Michele Minelli (2 shared papers)David Pointcheval (3 shared papers)Michel Abdalla⋆ (2 shared papers)Angelo De (1 shared paper)Pascal Paillier (1 shared paper)Hoeteck Wee (1 shared paper)Rafaël del Pino (1 shared paper)Olivier Sanders (2 shared papers)
- Partner nations
- FranceUnited KingdomEstonia
In The Last Decade
Florian Bourse
8 papers receiving 565 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 555
- Computational Theory and Mathematics 187
- Information Systems 160
- Computer Vision and Pattern Recognition 91
- Signal Processing 22
Countries citing papers authored by Florian Bourse
This map shows the geographic impact of Florian Bourse'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 Bourse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Bourse more than expected).
Fields of papers citing papers by Florian Bourse
This network shows the impact of papers produced by Florian Bourse. 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 Bourse. The network helps show where Florian Bourse may publish in the future.
Co-authors
The 13 scholars most cited alongside Florian Bourse, 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 | 2015 | 232 | |
| 2 | 2018 | 194 | |
| 3 | 2016 | 68 | |
| 4 | 2017 | 36 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 12 | |
| 8 | 2013 | 1 |
About Florian Bourse
Florian Bourse is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Infectious Diseases, having authored 8 papers that have together received 587 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Complexity and Algorithms in Graphs (5 papers), Privacy-Preserving Technologies in Data (4 papers), Cryptographic Implementations and Security (2 papers), Coding theory and cryptography (2 papers), Blockchain Technology Applications and Security (1 paper), Caching and Content Delivery (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (555 citations), Computational Theory and Mathematics (187 citations), Information Systems (160 citations), Computer Vision and Pattern Recognition (91 citations) and Signal Processing (22 citations). Florian Bourse has collaborated with scholars based in France, United Kingdom and Estonia. Frequent co-authors include Michele Minelli, David Pointcheval, Michel Abdalla⋆, Angelo De, Pascal Paillier, Hoeteck Wee, Rafaël del Pino, Olivier Sanders, Fabrice Benhamouda and Helger Lipmaa. Their work appears in journals such as Lecture notes in computer science.
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.