Gaëtan Gras

11 total papers · 751 total citations
7 papers, 484 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 7 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Instrumentation. Recurrent topics in Gaëtan Gras's work include Quantum Information and Cryptography (5 papers), Advanced Optical Sensing Technologies (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). Gaëtan Gras is often cited by papers focused on Quantum Information and Cryptography (5 papers), Advanced Optical Sensing Technologies (3 papers) and Quantum Computing Algorithms and Architecture (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, Alberto Boaron, Misael Caloz, Anthony Martin, Daniel A. Nolan, Ming-Jun Li and Gianluca Boso and has published in prestigious journals such as Physical Review Letters, Optics Express and Physical Review Applied.

In The Last Decade

Gaëtan Gras

6 papers receiving 460 citations

Hit Papers

Secure Quantum Key Distri... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Gaëtan Gras 435 375 104 18 17 7 484
Misael Caloz 483 1.1× 431 1.1× 124 1.2× 28 1.6× 17 1.0× 6 548
Clinton Cahall 361 0.8× 306 0.8× 114 1.1× 36 2.0× 17 1.0× 11 425
George L. Roberts 371 0.9× 330 0.9× 83 0.8× 13 0.7× 20 1.2× 12 431
Thiago Ferreira da Silva 386 0.9× 355 0.9× 105 1.0× 27 1.5× 14 0.8× 25 451
Imran Khan 459 1.1× 408 1.1× 75 0.7× 7 0.4× 18 1.1× 17 522
Raju Valivarthi 339 0.8× 298 0.8× 118 1.1× 13 0.7× 9 0.5× 20 432
Mingyong Jing 297 0.7× 364 1.0× 62 0.6× 14 0.8× 9 0.5× 21 443
M. Halder 441 1.0× 470 1.3× 157 1.5× 37 2.1× 4 0.2× 11 548
Max Tillmann 435 1.0× 301 0.8× 210 2.0× 11 0.6× 9 0.5× 9 543
Keith R. Motes 373 0.9× 253 0.7× 110 1.1× 8 0.4× 7 0.4× 13 411

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).

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.

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.

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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