Jean-Philippe Bossuat

604 citations
7 papers · 131 indexed · h-index 5
Topics
Privacy-Preserving Technologies in Data (7 papers)Cryptography and Data Security (5 papers)Stochastic Gradient Optimization Techniques (3 papers)
Journals
SHILAP Revista de lepidopterologíaPatternsPubMed

In The Last Decade

Jean-Philippe Bossuat

7 papers receiving 127 citations

Peers

Jean-Philippe Bossuat
Comparison fields: 5 of 27
  • Artificial Intelligence 114
  • Computational Theory and Mathematics 20
  • Information Systems 14
  • Computer Networks and Communications 13
  • Molecular Biology 13
Replace Duhyeong Kim with:
Duhyeong Kim South Korea
Carlos Aguilar-Melchor France
Valérie Gauthier–Umaña Colombia
Ondřej Kuželka Czechia
Ines Chami United States
Ignacio Cascudo Netherlands
Steven P. Reinhardt United States
Kazumasa Shinagawa Japan
Thomas Espitau France
Christoph Günther Germany
Jean-Philippe Bossuat relative to Duhyeong Kim South Korea Duhyeong Kim's profile →
Citations per field
00.5×1.5×2.3×
Duhyeong Kim · 1×
Citations per year

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Philippe Bossuat. A scholar is included among the top collaborators of Jean-Philippe Bossuat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean-Philippe Bossuat. Jean-Philippe Bossuat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 11
2 1
3 4
4 10
5 17
6 38
7 50

About Jean-Philippe Bossuat

Jean-Philippe Bossuat is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 7 papers that have together received 131 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (5 papers) and Stochastic Gradient Optimization Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (114 citations), Computational Mathematics (1 citation) and Computational Theory and Mathematics (20 citations). Jean-Philippe Bossuat has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Jean‐Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, João Sá Sousa, Apostolos Pyrgelis, David Froelicher, Manfred Claassen, Duhyeong Kim, Wei Dai, Carsten Maple and Yongsoo Song. Their work appears in journals such as SHILAP Revista de lepidopterología, Patterns and PubMed.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026