Raphaël Le Bidan

617 citations
23 papers · 312 · h-index 9

Impact in

Papers in

Raphaël Le Bidan

21 papers receiving 287 citations

Peers

Raphaël Le Bidan
Comparison fields: 5 of 26
  • Computer Networks and Communications 125
  • Electrical and Electronic Engineering 283
  • Signal Processing 16
  • Artificial Intelligence 44
  • Ocean Engineering 13
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J. Lassing Sweden
Manish Sharma India
Daiming Qu China
T. Matsumoto Finland
Haibo Li China
Ghaya Rekaya-Ben Othman France
Trung-Hien Nguyen Belgium
Fabrizio Pollara United States
Qiuliang Xie China
Massimo Franceschetti United States
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Countries citing papers authored by Raphaël Le Bidan

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Le Bidan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raphaël Le Bidan. 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 Raphaël Le Bidan. The network helps show where Raphaël Le Bidan may publish in the future.

Co-authors

The 23 scholars most cited alongside Raphaël Le Bidan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raphaël Le Bidan Line = papers co-authored together Raphaël Le Bidan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200575
2 201453
3 202028
4 201327
5 200625
6 201118
7 200715
8 201210
9 20089
10 20117
11 20196
12 20146
13 20116
14 20126
15 20205
16 20044
17 20184
18 20073
19 20122
20 20102

About Raphaël Le Bidan

Raphaël Le Bidan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 23 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (12 papers), Optical Network Technologies (10 papers), Error Correcting Code Techniques (10 papers), Coding theory and cryptography (6 papers), Advanced Optical Network Technologies (4 papers), Advanced Photonic Communication Systems (4 papers), Semiconductor Lasers and Optical Devices (3 papers) and Cellular Automata and Applications (3 papers). The work is most often cited by research in Computer Networks and Communications (125 citations), Electrical and Electronic Engineering (283 citations), Signal Processing (16 citations), Artificial Intelligence (44 citations) and Ocean Engineering (13 citations). Raphaël Le Bidan has collaborated with scholars based in France and Burkina Faso. Frequent co-authors include Christophe Laot, Patrick Adde, Yves Jaouën, Erwan Pincemin, Ramesh Pyndiah, Thierry Le Gall, Claudine Berr, Michel Morvan, Jean-Marc Conan and Catherine Douillard. Their work appears in journals such as Electronics Letters, Journal of Lightwave Technology, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications and Speech Communication.

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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