Gilles Villard

126 total papers · 1.8k total citations
44 papers, 606 citations indexed

About

Gilles Villard is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Gilles Villard has authored 44 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 19 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Gilles Villard's work include Polynomial and algebraic computation (24 papers), Matrix Theory and Algorithms (16 papers) and Coding theory and cryptography (15 papers). Gilles Villard is often cited by papers focused on Polynomial and algebraic computation (24 papers), Matrix Theory and Algorithms (16 papers) and Coding theory and cryptography (15 papers). Gilles Villard collaborates with scholars based in France, Canada and United States. Gilles Villard's co-authors include Erich Kaltofen, Wayne Eberly, Alain Darte, Robert Schreiber, B. David Saunders, George Labahn, Bernhard Beckermann, Mark Giesbrecht, Damien Stehlé and Claude-Pierre Jeannerod and has published in prestigious journals such as IEEE Transactions on Information Theory, Mathematics of Computation and Journal of the ACM.

In The Last Decade

Gilles Villard

40 papers receiving 545 citations

Author Peers

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

Author						Papers	Cites
Gilles Villard	410	243	105	96	85	44	606
Richard Zippel	360 0.9×	257 1.1×	61 0.6×	133 1.4×	26 0.3×	28	614
Arne Storjohann	492 1.2×	290 1.2×	151 1.4×	39 0.4×	17 0.2×	53	632
François Le Gall	295 0.7×	318 1.3×	62 0.6×	104 1.1×	38 0.4×	34	570
R. O. Winder	237 0.6×	255 1.0×	231 2.2×	117 1.2×	106 1.2×	24	696
Susan Williamson	189 0.5×	129 0.5×	101 1.0×	112 1.2×	39 0.5×	24	566
Prasoon Tiwari	278 0.7×	184 0.8×	55 0.5×	183 1.9×	43 0.5×	25	595
Shachar Lovett	352 0.9×	400 1.6×	125 1.2×	117 1.2×	17 0.2×	103	676
Olga Holtz	261 0.6×	115 0.5×	70 0.7×	224 2.3×	249 2.9×	30	574
Terry A. McKee	380 0.9×	140 0.6×	78 0.7×	132 1.4×	51 0.6×	65	589
Margreta Kuijper	208 0.5×	212 0.9×	136 1.3×	111 1.2×	12 0.1×	74	569

Countries citing papers authored by Gilles Villard

Since Specialization

Citations

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

Fields of papers citing papers by Gilles Villard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Villard

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