Raphaël Bost
Impact in
- Artificial Intelligence top 2%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Internet Traffic Analysis and Secure E-voting
- Cryptographic Implementations and Security
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- Complexity and Algorithms in Graphs
Papers in
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- Cryptography and Data Security 4
- Privacy-Preserving Technologies in Data 2
- Cryptographic Implementations and Security 1
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- Complexity and Algorithms in Graphs 4
- Co-authors
- Shafi Goldwasser (1 shared paper)Raluca Ada Popa (1 shared paper)Stephen Tu (1 shared paper)Brice Minaud (2 shared papers)Olga Ohrimenko (1 shared paper)Pierre-Alain Fouque (2 shared papers)Olivier Sanders (1 shared paper)Michael Reichle (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)Proceedings on Privacy Enhancing Technologies (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Raphaël Bost
6 papers receiving 1.0k citations
Raphaël Bost's Hit Papers
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 955
- Computational Theory and Mathematics 249
- Information Systems 321
- Computer Vision and Pattern Recognition 224
- Health Informatics 6
Countries citing papers authored by Raphaël Bost
This map shows the geographic impact of Raphaël Bost'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 Raphaël Bost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Bost more than expected).
Fields of papers citing papers by Raphaël Bost
This network shows the impact of papers produced by Raphaël Bost. 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 Raphaël Bost. The network helps show where Raphaël Bost may publish in the future.
Co-authors
The 8 scholars most cited alongside Raphaël Bost, 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 | Machine Learning Classification over Encrypted Data Hit paper breakdown → | 2015 | 486 |
| 2 | Forward and Backward Private Searchable Encryption from Constrained Cryptographic Primitives Hit paper breakdown → | 2017 | 305 |
| 3 | 2016 | 195 | |
| 4 | 2019 | 12 | |
| 5 | 2016 | 11 | |
| 6 | 2021 | 11 |
About Raphaël Bost
Raphaël Bost is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 6 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (4 papers), Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (2 papers), Chaos-based Image/Signal Encryption (2 papers), Cryptographic Implementations and Security (1 paper), Physical Unclonable Functions (PUFs) and Hardware Security (1 paper), Advanced Data Storage Technologies (1 paper) and Network Security and Intrusion Detection (1 paper). The work is most often cited by research in Artificial Intelligence (955 citations), Computational Theory and Mathematics (249 citations), Information Systems (321 citations), Computer Vision and Pattern Recognition (224 citations) and Health Informatics (6 citations). Raphaël Bost has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Shafi Goldwasser, Raluca Ada Popa, Stephen Tu, Brice Minaud, Olga Ohrimenko, Pierre-Alain Fouque, Olivier Sanders and Michael Reichle. Their work appears in journals such as Lecture notes in computer science and Proceedings on Privacy Enhancing Technologies.
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.