Guillaume Verdon

4 papers and 255 indexed citations i.

About

Guillaume Verdon is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistics and Probability. According to data from OpenAlex, Guillaume Verdon has authored 4 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 1 paper in Statistics and Probability. Recurrent topics in Guillaume Verdon’s work include Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (3 papers) and Markov Chains and Monte Carlo Methods (1 paper). Guillaume Verdon is often cited by papers focused on Quantum Computing Algorithms and Architecture (4 papers), Quantum Information and Cryptography (3 papers) and Markov Chains and Monte Carlo Methods (1 paper). Guillaume Verdon collaborates with scholars based in United States, Canada and Spain. Guillaume Verdon's co-authors include M. Cerezo, Patrick J. Coles, Łukasz Cincio, Hsin-Yuan Huang, Martín Larocca, Frédéric Sauvage, Owen Lockwood and Peter Weiß and has published in prestigious journals such as Physical Review Research, PRX Quantum and Nature Computational Science.

In The Last Decade

Co-authorship network of co-authors of Guillaume Verdon i

Fields of papers citing papers by Guillaume Verdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guillaume Verdon

Since Specialization
Citations

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