Jean-Philippe Bossuat

6 papers and 145 indexed citations i.

About

Jean-Philippe Bossuat is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Jean-Philippe Bossuat has authored 6 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Computational Theory and Mathematics and 1 paper in Signal Processing. Recurrent topics in Jean-Philippe Bossuat’s work include Privacy-Preserving Technologies in Data (6 papers), Cryptography and Data Security (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Jean-Philippe Bossuat is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Cryptography and Data Security (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Jean-Philippe Bossuat collaborates with scholars based in Switzerland, United States and Germany. Jean-Philippe Bossuat's co-authors include Juan Ramón Troncoso-Pastoriza, Jean‐Pierre Hubaux, João Sá Sousa, David Froelicher, Apostolos Pyrgelis, Manfred Claassen, Hyunghoon Cho and Bonnie Berger and has published in prestigious journals such as Patterns, arXiv (Cornell University) and 2022 IEEE Symposium on Security and Privacy (SP).

In The Last Decade

Co-authorship network of co-authors of Jean-Philippe Bossuat i

Fields of papers citing papers by Jean-Philippe Bossuat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Philippe Bossuat. 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 Jean-Philippe Bossuat. The network helps show where Jean-Philippe Bossuat may publish in the future.

Countries citing papers authored by Jean-Philippe Bossuat

Since Specialization
Citations

This map shows the geographic impact of Jean-Philippe Bossuat'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 Jean-Philippe Bossuat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Philippe Bossuat more than expected).

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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