Gilles Grimaud

128 total papers · 572 total citations
29 papers, 193 citations indexed

About

Gilles Grimaud is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Gilles Grimaud has authored 29 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 11 papers in Hardware and Architecture. Recurrent topics in Gilles Grimaud's work include Security and Verification in Computing (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Malware Detection Techniques (9 papers). Gilles Grimaud is often cited by papers focused on Security and Verification in Computing (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Malware Detection Techniques (9 papers). Gilles Grimaud collaborates with scholars based in France, Morocco and Canada. Gilles Grimaud's co-authors include Simon Duquennoy, Jean‐Louis Lanet, Sébastien Jean, François‐Xavier Standaert, Kévin Marquet, Mostafa Azizi, David Nowak, Vlad Rusu, Xavier Guillaume and Jean Carle and has published in prestigious journals such as Lecture notes in computer science, Science of Computer Programming and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Gilles Grimaud

22 papers receiving 177 citations

Author Peers

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

Author						Papers	Cites
Gilles Grimaud	140	70	59	47	32	29	193
Rajendra Kumar	97 0.7×	64 0.9×	52 0.9×	82 1.7×	38 1.2×	34	207
Emmanuel Conchon	128 0.9×	25 0.4×	90 1.5×	61 1.3×	48 1.5×	21	230
Mohsen Amini Salehi	131 0.9×	45 0.6×	146 2.5×	71 1.5×	27 0.8×	25	230
Manpyo Hong	122 0.9×	49 0.7×	77 1.3×	65 1.4×	48 1.5×	36	208
Deeraj Nagothu	54 0.4×	133 1.9×	66 1.1×	49 1.0×	27 0.8×	26	226
Sabuzima Nayak	157 1.1×	30 0.4×	50 0.8×	78 1.7×	28 0.9×	22	258
Shoji Kurakake	76 0.5×	98 1.4×	55 0.9×	27 0.6×	28 0.9×	30	189
Didier Donsez	149 1.1×	50 0.7×	93 1.6×	53 1.1×	9 0.3×	32	209
Gyanendra Kumar	92 0.7×	28 0.4×	54 0.9×	47 1.0×	12 0.4×	34	216
Peizhong Lu	105 0.8×	22 0.3×	35 0.6×	72 1.5×	22 0.7×	25	202

Countries citing papers authored by Gilles Grimaud

Since Specialization

Citations

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

Fields of papers citing papers by Gilles Grimaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Grimaud

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