Jean-Luc Beuchat

29 papers receiving 235 citations

Peers

Jean-Luc Beuchat
Comparison fields: 5 of 31
  • Artificial Intelligence 171
  • Information Systems 89
  • Hardware and Architecture 69
  • Computer Vision and Pattern Recognition 67
  • Electrical and Electronic Engineering 46
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Citations per field
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Citations per year

Countries citing papers authored by Jean-Luc Beuchat

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Luc Beuchat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Luc Beuchat

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Tracing Effects of Covid-19 Over Small and Medium Enterprises
3
2 5
3 12
4 10
5 20
6
Multiplication over F p m on FPGA: a survey
5
7 19
8 6
9 2
10 1
11
FPGA Implementation of a Recently Published Signature Scheme
9
12
RN-codes : algorithmes d'addition, de multiplication et d'élévation au carré
2
13 1
14
Opérateurs itératifs de multiplication-addition modulaire pour FPGA
1
15
Approches matérielles et logicielles de l"algorithme de chiffrement IDEA
4
16
High Throughput Implementations of the RC6 Block Cipher Using Virtex-E and Virtex-II Devices
1
17 3
18 11
19 35
20
Conception d"un neuroprocesseur reconfigurable proposant des algorithmes d"apprentissage et d"élagage: une première étude
2

About Jean-Luc Beuchat

Jean-Luc Beuchat is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems, having authored 29 papers that have together received 253 indexed citations. Recurring topics across this work include Coding theory and cryptography (18 papers), Cryptography and Residue Arithmetic (13 papers) and Numerical Methods and Algorithms (9 papers). The work is most often cited by research in Hardware and Architecture (69 citations), Artificial Intelligence (171 citations) and Information Systems (89 citations). Jean-Luc Beuchat has collaborated with scholars based in Japan, France and Switzerland. Frequent co-authors include Eiji Okamoto, Jean‐Michel Muller, Eduardo García Sánchez, Tsuyoshi Takagi, Masaaki Shirase, Andrés Pérez-Uribe, André Stauffer, Moshe Sipper, Jérémie Detrey and Nicolas Brisebarre. Their work appears in journals such as IEEE Transactions on Computers, Electronics Letters and IEEE Transactions on Circuits and Systems I Regular Papers.

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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