Thibault Lesieur

4 papers and 142 indexed citations i.

About

Thibault Lesieur is a scholar working on Computational Mechanics, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thibault Lesieur has authored 4 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computational Mechanics, 1 paper in Materials Chemistry and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thibault Lesieur’s work include Sparse and Compressive Sensing Techniques (2 papers), Markov Chains and Monte Carlo Methods (1 paper) and Crystal Structures and Properties (1 paper). Thibault Lesieur is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Markov Chains and Monte Carlo Methods (1 paper) and Crystal Structures and Properties (1 paper). Thibault Lesieur collaborates with scholars based in France, Italy and Burundi. Thibault Lesieur's co-authors include Lenka Zdeborová, Florent Krza̧kała, Léo Miolane, Marc Lelarge, Matthias Wuttig, Volker L. Deringer, Tobias Schäfer, Paul Müller, Philipp M. Konze and Markus Morgenstern and has published in prestigious journals such as Chemistry of Materials, Journal of Statistical Mechanics Theory and Experiment and 2022 IEEE International Symposium on Information Theory (ISIT).

In The Last Decade

Co-authorship network of co-authors of Thibault Lesieur i

Fields of papers citing papers by Thibault Lesieur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thibault Lesieur

Since Specialization
Citations

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

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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2025