Guillaume Lecué

97 total papers · 1.1k total citations
28 papers, 292 citations indexed

About

Guillaume Lecué is a scholar working on Statistics and Probability, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Guillaume Lecué has authored 28 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 10 papers in Computational Mechanics and 6 papers in Control and Systems Engineering. Recurrent topics in Guillaume Lecué's work include Statistical Methods and Inference (17 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Statistical Methods and Models (7 papers). Guillaume Lecué is often cited by papers focused on Statistical Methods and Inference (17 papers), Sparse and Compressive Sensing Techniques (10 papers) and Advanced Statistical Methods and Models (7 papers). Guillaume Lecué collaborates with scholars based in France, Israel and United States. Guillaume Lecué's co-authors include Matthieu Lerasle, Shahar Mendelson, Stéphane Gaïffas, Karine Bertin, Sjoerd Dirksen, Holger Rauhut, Pierre Alquier, Simon Foucart, Cyril Roberto and Mathieu Meyer and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Guillaume Lecué

28 papers receiving 277 citations

Author Peers

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

Author						Papers	Cites
Guillaume Lecué	171	102	92	47	39	28	292
Chao Gao	205 1.2×	61 0.6×	103 1.1×	28 0.6×	32 0.8×	29	312
Klaus Frick	110 0.6×	74 0.7×	43 0.5×	59 1.3×	32 0.8×	21	316
Stanislav Minsker	141 0.8×	57 0.6×	111 1.2×	22 0.5×	19 0.5×	21	276
Pierre Alquier	143 0.8×	49 0.5×	164 1.8×	34 0.7×	15 0.4×	33	289
Yu. I. Ingster	195 1.1×	27 0.3×	94 1.0×	24 0.5×	47 1.2×	28	282
Ying Cui	48 0.3×	138 1.4×	43 0.5×	44 0.9×	10 0.3×	26	292
Irina A. Suslina	140 0.8×	28 0.3×	66 0.7×	21 0.4×	32 0.8×	16	212
Simon Mak	54 0.3×	41 0.4×	96 1.0×	19 0.4×	76 1.9×	29	307
Yiqiao Zhong	98 0.6×	81 0.8×	78 0.8×	24 0.5×	8 0.2×	14	288
Claire Lacour	186 1.1×	19 0.2×	76 0.8×	25 0.5×	11 0.3×	21	255

Countries citing papers authored by Guillaume Lecué

Since Specialization

Citations

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

Fields of papers citing papers by Guillaume Lecué

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Lecué

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