Raphaël Bost
Impact in
- Artificial Intelligence top 1%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Security and Verification in Computing
- Internet Traffic Analysis and Secure E-voting
- Adversarial Robustness in Machine Learning
- Information Systems top 5%
- Cloud Data Security Solutions
- Blockchain Technology Applications and Security
Papers in
-
- Cryptography and Data Security 6
- Cryptographic Implementations and Security 1
- Co-authors
- Stephen Tu (2 shared papers)Shafi Goldwasser (2 shared papers)Raluca Ada Popa (2 shared papers)Brice Minaud (2 shared papers)Olga Ohrimenko (1 shared paper)Pierre-Alain Fouque (2 shared papers)Olivier Sanders (1 shared paper)
- Journals
- Lecture notes in computer science (2 papers)Proceedings on Privacy Enhancing Technologies (1 paper)ACM SIGSAC Conference on Computer and Communications Security (CCS) (2 papers)IACR Cryptology ePrint Archive (1 paper)Network and Distributed System Security Symposium (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Raphaël Bost
7 papers receiving 1.1k citations
Raphaël Bost's Hit Papers
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 1.1k
- Information Systems 183
- Signal Processing 19
- Computer Networks and Communications 30
- Computer Science Applications 7
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 7 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 | 521 |
| 2 | 2017 | 337 | |
| 3 | 2016 | 206 | |
| 4 | Machine Learning Classification over Encrypted Data. | 2014 | 24 |
| 5 | 2021 | 15 | |
| 6 | 2019 | 12 | |
| 7 | 2016 | 11 |
About Raphaël Bost
Raphaël Bost is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cryptography and Data Security (6 papers) and Cryptographic Implementations and Security (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Information Systems (183 citations), Signal Processing (19 citations), Computer Networks and Communications (30 citations) and Computer Science Applications (7 citations). Raphaël Bost has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Stephen Tu, Shafi Goldwasser, Raluca Ada Popa, Brice Minaud, Olga Ohrimenko, Pierre-Alain Fouque and Olivier Sanders. Their work appears in journals such as Lecture notes in computer science, Proceedings on Privacy Enhancing Technologies, ACM SIGSAC Conference on Computer and Communications Security (CCS), IACR Cryptology ePrint Archive and Network and Distributed System Security Symposium.
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.