Pascale Charpin

127 total papers · 3.6k total citations
65 papers, 1.8k citations indexed

About

Pascale Charpin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Pascale Charpin has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 41 papers in Electrical and Electronic Engineering and 19 papers in Computational Theory and Mathematics. Recurrent topics in Pascale Charpin's work include Coding theory and cryptography (61 papers), graph theory and CDMA systems (41 papers) and Cryptographic Implementations and Security (14 papers). Pascale Charpin is often cited by papers focused on Coding theory and cryptography (61 papers), graph theory and CDMA systems (41 papers) and Cryptographic Implementations and Security (14 papers). Pascale Charpin collaborates with scholars based in France, Russia and Norway. Pascale Charpin's co-authors include Anne Canteaut, Victor Zinoviev, Claude Carlet, Gohar Kyureghyan, Thierry Pierre Berger, Hans Dobbertin, Céline Blondeau, Enes Pašalić, Guang Gong and Tor Helleseth and has published in prestigious journals such as IEEE Transactions on Information Theory, Discrete Applied Mathematics and Discrete Mathematics.

In The Last Decade

Pascale Charpin

64 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Pascale Charpin	1.7k	1.2k	347	341	238	65	1.8k
Hans Dobbertin	1.3k 0.7×	858 0.7×	186 0.5×	348 1.0×	136 0.6×	41	1.4k
Xiangyong Zeng	1.5k 0.8×	1.1k 0.9×	251 0.7×	328 1.0×	310 1.3×	153	1.6k
Alexander Pott	1.2k 0.7×	1.1k 0.9×	382 1.1×	202 0.6×	101 0.4×	83	1.3k
W. Cary Huffman	1.7k 1.0×	1.1k 0.9×	559 1.6×	539 1.6×	562 2.4×	49	1.9k
Anne Canteaut	1.4k 0.8×	809 0.7×	161 0.5×	217 0.6×	156 0.7×	73	1.5k
Sihem Mesnager	1.9k 1.1×	1.3k 1.0×	243 0.7×	364 1.1×	478 2.0×	158	2.0k
D.K. Ray-Chaudhuri	1.0k 0.6×	1.1k 0.9×	441 1.3×	441 1.3×	537 2.3×	60	1.8k
Keqin Feng	1.1k 0.6×	560 0.5×	183 0.5×	428 1.3×	155 0.7×	80	1.3k
M. A. Tsfasman	974 0.6×	458 0.4×	245 0.7×	343 1.0×	299 1.3×	33	1.3k
O. S. Rothaus	727 0.4×	533 0.4×	134 0.4×	326 1.0×	69 0.3×	37	1.4k

Countries citing papers authored by Pascale Charpin

Since Specialization

Citations

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

Fields of papers citing papers by Pascale Charpin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Charpin

This figure shows the co-authorship network connecting the top 25 collaborators of Pascale Charpin. A scholar is included among the top collaborators of Pascale Charpin 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 Pascale Charpin. Pascale Charpin 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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