Ulysse Chabaud

64 total papers · 696 total citations
16 papers, 433 citations indexed

About

Ulysse Chabaud is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Ulysse Chabaud has authored 16 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Atomic and Molecular Physics, and Optics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Ulysse Chabaud's work include Quantum Information and Cryptography (15 papers), Quantum Computing Algorithms and Architecture (12 papers) and Quantum Mechanics and Applications (9 papers). Ulysse Chabaud is often cited by papers focused on Quantum Information and Cryptography (15 papers), Quantum Computing Algorithms and Architecture (12 papers) and Quantum Mechanics and Applications (9 papers). Ulysse Chabaud collaborates with scholars based in France, United States and United Kingdom. Ulysse Chabaud's co-authors include Damian Markham, Elham Kashefi, Frédéric Grosshans, Jens Eisert, Ingo Roth, Nathan Walk, Dominik Hangleiter, Mattia Walschaers, Giulia Ferrini and Pierre-Emmanuel Emeriau and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical review. A.

In The Last Decade

Ulysse Chabaud

14 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Ulysse Chabaud	391	320	33	24	17	16	433
Sergii Strelchuk	364 0.9×	307 1.0×	15 0.5×	34 1.4×	25 1.5×	31	431
Daniel Stilck França	400 1.0×	234 0.7×	35 1.1×	39 1.6×	67 3.9×	27	483
Dax Enshan Koh	343 0.9×	209 0.7×	37 1.1×	33 1.4×	62 3.6×	33	397
René Schwonnek	342 0.9×	345 1.1×	16 0.5×	56 2.3×	12 0.7×	19	409
Erika Ye	377 1.0×	314 1.0×	35 1.1×	46 1.9×	44 2.6×	9	479
Filip Wudarski	347 0.9×	317 1.0×	13 0.4×	64 2.7×	21 1.2×	23	413
Michał Oszmaniec	323 0.8×	286 0.9×	28 0.8×	31 1.3×	16 0.9×	25	377
Carlos A. Pérez-Delgado	386 1.0×	338 1.1×	26 0.8×	21 0.9×	32 1.9×	17	442
Jonathan A. Gross	326 0.8×	301 0.9×	27 0.8×	44 1.8×	15 0.9×	18	411
Mária Kieferová	339 0.9×	196 0.6×	29 0.9×	24 1.0×	64 3.8×	10	370

Countries citing papers authored by Ulysse Chabaud

Since Specialization

Citations

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

Fields of papers citing papers by Ulysse Chabaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulysse Chabaud

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