Xavier Bonnetain

41 total papers · 734 total citations
8 papers, 92 citations indexed

About

Xavier Bonnetain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Xavier Bonnetain has authored 8 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in General Health Professions. Recurrent topics in Xavier Bonnetain's work include Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Coding theory and cryptography (3 papers). Xavier Bonnetain is often cited by papers focused on Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Coding theory and cryptography (3 papers). Xavier Bonnetain collaborates with scholars based in France, United States and Russia. Xavier Bonnetain's co-authors include André Schrottenloher, María Naya‐Plasencia, Jean‐François Biasse, Virginie Lallemand, Elena Kirshanova, Fang Song and Marine Minier and has published in prestigious journals such as IET Information Security, IACR Transactions on Cryptographic Hardware and Embedded Systems and IACR Transactions on Symmetric Cryptology.

In The Last Decade

Xavier Bonnetain

8 papers receiving 86 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xavier Bonnetain	82	29	12	9	9	8	92
André Schrottenloher	115 1.4×	53 1.8×	15 1.3×	11 1.2×	11 1.2×	13	132
Thomas Espitau	62 0.8×	13 0.4×	13 1.1×	10 1.1×	5 0.6×	13	70
Bert den Boer	61 0.7×	28 1.0×	10 0.8×	10 1.1×	9 1.0×	5	79
Christine van Vredendaal	75 0.9×	29 1.0×	9 0.8×	25 2.8×	5 0.6×	10	91
Simona Samardjiska	76 0.9×	19 0.7×	14 1.2×	17 1.9×	3 0.3×	10	90
Guilhem Castagnos	107 1.3×	35 1.2×	21 1.8×	46 5.1×	9 1.0×	8	117
Mario Lamberger	47 0.6×	38 1.3×	13 1.1×	5 0.6×	8 0.9×	12	82
Madhav Nimishakavi	66 0.8×	32 1.1×	10 0.8×	7 0.8×	4 0.4×	7	99
Jakob Wenzel	17 0.2×	29 1.0×	20 1.7×	8 0.9×	31 3.4×	12	86
Jorge Nakahara	68 0.8×	39 1.3×	7 0.6×	7 0.8×	6 0.7×	11	74

Countries citing papers authored by Xavier Bonnetain

Since Specialization

Citations

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

Fields of papers citing papers by Xavier Bonnetain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier Bonnetain. 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 Xavier Bonnetain. The network helps show where Xavier Bonnetain may publish in the future.

Co-authorship network of co-authors of Xavier Bonnetain

This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Bonnetain. A scholar is included among the top collaborators of Xavier Bonnetain 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 Xavier Bonnetain. Xavier Bonnetain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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