Audrey Bienfait

77 total papers · 1.4k total citations
30 papers, 934 citations indexed

About

Audrey Bienfait is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Audrey Bienfait has authored 30 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atomic and Molecular Physics, and Optics, 19 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Audrey Bienfait's work include Quantum Information and Cryptography (18 papers), Mechanical and Optical Resonators (10 papers) and Quantum Computing Algorithms and Architecture (8 papers). Audrey Bienfait is often cited by papers focused on Quantum Information and Cryptography (18 papers), Mechanical and Optical Resonators (10 papers) and Quantum Computing Algorithms and Architecture (8 papers). Audrey Bienfait collaborates with scholars based in United States, France and Denmark. Audrey Bienfait's co-authors include Patrice Bertet, Yuimaru Kubo, D. Estève, D. Vion, Michael Stern, A. N. Cleland, Hung-Shen Chang, Christopher R. Conner, Youpeng Zhong and Rhys G. Povey and has published in prestigious journals such as Nature, Physical Review Letters and Applied Physics Letters.

In The Last Decade

Audrey Bienfait

28 papers receiving 924 citations

Author Peers

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

Author						Papers	Cites
Audrey Bienfait	766	507	173	81	80	30	934
D. Rosenberg	620 0.8×	476 0.9×	409 2.4×	103 1.3×	47 0.6×	33	994
Pavel Bushev	1.0k 1.4×	497 1.0×	225 1.3×	168 2.1×	34 0.4×	30	1.2k
A. Divochiy	497 0.6×	429 0.8×	358 2.1×	95 1.2×	69 0.9×	41	865
B. S. Palmer	645 0.8×	462 0.9×	174 1.0×	130 1.6×	25 0.3×	31	977
Stefan Putz	1.1k 1.5×	644 1.3×	261 1.5×	151 1.9×	22 0.3×	20	1.2k
Rachpon Kalra	866 1.1×	440 0.9×	485 2.8×	142 1.8×	26 0.3×	17	1.0k
Cezary Śliwa	647 0.8×	475 0.9×	104 0.6×	135 1.7×	34 0.4×	25	825
Jason P. Allmaras	305 0.4×	227 0.4×	403 2.3×	67 0.8×	66 0.8×	46	794
Ish Dhand	717 0.9×	899 1.8×	271 1.6×	95 1.2×	23 0.3×	21	1.2k
Igor Vayshenker	657 0.9×	514 1.0×	545 3.2×	75 0.9×	81 1.0×	33	1.1k

Countries citing papers authored by Audrey Bienfait

Since Specialization

Citations

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

Fields of papers citing papers by Audrey Bienfait

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrey Bienfait

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