Gaëtan Gras

11 total papers · 751 total citations
5 papers, 431 citations indexed

About

Gaëtan Gras is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Instrumentation. According to data from OpenAlex, Gaëtan Gras has authored 5 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Instrumentation. Recurrent topics in Gaëtan Gras’s work include Quantum Information and Cryptography (3 papers), Quantum Mechanics and Applications (2 papers) and Advanced Optical Sensing Technologies (2 papers). Gaëtan Gras is often cited by papers focused on Quantum Information and Cryptography (3 papers), Quantum Mechanics and Applications (2 papers) and Advanced Optical Sensing Technologies (2 papers). Gaëtan Gras collaborates with scholars based in Switzerland, United States and Germany. Gaëtan Gras's co-authors include Félix Bussières, Hugo Zbinden, Matthieu Perrenoud, Davide Rusca, Ming-Jun Li, Gianluca Boso, Misael Caloz, Anthony Martin, Alberto Boaron and Daniel A. Nolan and has published in prestigious journals such as Physical Review Letters, Optics Express and Physical Review Applied.

Co-authorship network of co-authors of Gaëtan Gras

This figure shows the co-authorship network connecting the top 25 collaborators of Gaëtan Gras. A scholar is included among the top collaborators of Gaëtan Gras 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 Gaëtan Gras. Gaëtan Gras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Gaëtan Gras

4 papers receiving 408 citations

Fields of papers citing papers by Gaëtan Gras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaëtan Gras

Since Specialization
Citations

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