Renaud Pacalet

107 total papers · 718 total citations
28 papers, 194 citations indexed

About

Renaud Pacalet is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Renaud Pacalet has authored 28 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hardware and Architecture, 13 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Renaud Pacalet's work include Embedded Systems Design Techniques (11 papers), Security and Verification in Computing (8 papers) and Cryptographic Implementations and Security (8 papers). Renaud Pacalet is often cited by papers focused on Embedded Systems Design Techniques (11 papers), Security and Verification in Computing (8 papers) and Cryptographic Implementations and Security (8 papers). Renaud Pacalet collaborates with scholars based in France, Finland and Czechia. Renaud Pacalet's co-authors include Sylvain Guilley, Philippe Hoogvorst, Yves Mathieu, Ludovic Apvrille, Aawatif Hayar, Laurent Sauvage, Muhammad Waseem, Alastair R. Ruddle, Benjamin Weyl and Yves Roudier and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Software & Systems Modeling.

In The Last Decade

Renaud Pacalet

26 papers receiving 179 citations

Author Peers

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

Author						Papers	Cites
Renaud Pacalet	127	113	47	39	39	28	194
Ulrich Finkler	36 0.3×	107 0.9×	39 0.8×	65 1.7×	45 1.2×	21	213
Rainer Buchty	170 1.3×	49 0.4×	86 1.8×	112 2.9×	37 0.9×	37	264
Caroline Trippel	118 0.9×	143 1.3×	54 1.1×	115 2.9×	24 0.6×	21	265
José G. F. Coutinho	178 1.4×	56 0.5×	59 1.3×	86 2.2×	20 0.5×	39	251
Viktor Prasanna	64 0.5×	88 0.8×	32 0.7×	70 1.8×	30 0.8×	29	170
Jie Zhao	77 0.6×	42 0.4×	30 0.6×	36 0.9×	87 2.2×	37	192
David Greaves	130 1.0×	38 0.3×	56 1.2×	149 3.8×	37 0.9×	39	253
Tomer Ashur	37 0.3×	147 1.3×	52 1.1×	42 1.1×	60 1.5×	20	221
Charith Mendis	124 1.0×	93 0.8×	22 0.5×	73 1.9×	95 2.4×	24	216
Jungmin Park	149 1.2×	189 1.7×	69 1.5×	40 1.0×	36 0.9×	27	276

Countries citing papers authored by Renaud Pacalet

Since Specialization

Citations

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

Fields of papers citing papers by Renaud Pacalet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Pacalet

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