Jean-Philippe Bossuat

604 total citations
7 papers, 131 citations indexed

About

Jean-Philippe Bossuat is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jean-Philippe Bossuat has authored 7 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Jean-Philippe Bossuat's work include Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (5 papers) and Stochastic Gradient Optimization Techniques (3 papers). Jean-Philippe Bossuat is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Cryptography and Data Security (5 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, David Froelicher, João Sá Sousa, Apostolos Pyrgelis, Manfred Claassen, Rosario Cammarota, Bonnie Berger, Wei Dai and Xianhui Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Patterns and PubMed.

In The Last Decade

Jean-Philippe Bossuat

7 papers receiving 127 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jean-Philippe Bossuat Switzerland	5	114	20	14	13	13	7	131
Duhyeong Kim South Korea	6	101 0.9×	20 1.0×	34 2.4×	14 1.1×	6 0.5×	10	124
Carlos Aguilar-Melchor France	4	155 1.4×	25 1.3×	34 2.4×	29 2.2×	6 0.5×	8	166
Ines Chami United States	3	72 0.6×	11 0.6×	19 1.4×	15 1.2×	17 1.3×	6	111
Edoardo Persichetti United States	7	94 0.8×	8 0.4×	17 1.2×	33 2.5×	10 0.8×	23	110
Ignacio Cascudo Netherlands	7	102 0.9×	21 1.1×	14 1.0×	31 2.4×	5 0.4×	12	115
Ondřej Kuželka Czechia	6	88 0.8×	25 1.3×	28 2.0×	10 0.8×	33 2.5×	36	143
Peter Bloem Netherlands	6	47 0.4×	9 0.5×	12 0.9×	5 0.4×	20 1.5×	9	86
Valérie Gauthier–Umaña Colombia	4	76 0.7×	15 0.8×	9 0.6×	15 1.2×	7 0.5×	5	87
Ben Bogin Israel	9	149 1.3×	4 0.2×	40 2.9×	14 1.1×	16 1.2×	11	185

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

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7 of 7 papers shown

1.

Bossuat, Jean-Philippe, Rosario Cammarota, Ilaria Chillotti, et al.. (2025). Security Guidelines for Implementing Homomorphic Encryption. 1(4). 11 indexed citations

2.

Bossuat, Jean-Philippe, et al.. (2025). Accurate and Composable Noise Estimates for CKKS with Application to Exact HE Computation. 2(2). 1 indexed citations

3.

Pyrgelis, Apostolos, et al.. (2023). Privacy-Preserving Federated Recurrent Neural Networks. Proceedings on Privacy Enhancing Technologies. 2023(4). 500–521. 4 indexed citations

4.

Froelicher, David, Hyunghoon Cho, João Sá Sousa, et al.. (2023). Scalable and Privacy-Preserving Federated Principal Component Analysis. PubMed. 2023. 1908–1925. 10 indexed citations

5.

Bossuat, Jean-Philippe, et al.. (2022). Privacy-preserving federated neural network learning for disease-associated cell classification. Patterns. 3(5). 100487–100487. 17 indexed citations

6.

Froelicher, David, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, et al.. (2021). Scalable Privacy-Preserving Distributed Learning. SHILAP Revista de lepidopterología. 38 indexed citations

7.

Troncoso-Pastoriza, Juan Ramón, et al.. (2021). Multiparty Homomorphic Encryption from Ring-Learning-with-Errors. SHILAP Revista de lepidopterología. 2021(4). 291–311. 50 indexed citations

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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