Guillaume Aubrun

570 total citations
23 papers, 256 citations indexed

About

Guillaume Aubrun is a scholar working on Artificial Intelligence, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, Guillaume Aubrun has authored 23 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Applied Mathematics and 9 papers in Statistics and Probability. Recurrent topics in Guillaume Aubrun's work include Quantum Information and Cryptography (8 papers), Random Matrices and Applications (7 papers) and Quantum Mechanics and Applications (7 papers). Guillaume Aubrun is often cited by papers focused on Quantum Information and Cryptography (8 papers), Random Matrices and Applications (7 papers) and Quantum Mechanics and Applications (7 papers). Guillaume Aubrun collaborates with scholars based in France, United States and Germany. Guillaume Aubrun's co-authors include Stanisław J. Szarek, Ion Nechita, Deping Ye, Matthieu Fradelizi, Carlos Palazuelos, Andreas Winter, Ludovico Lami, Vern I. Paulsen, Roland Speicher and Adam Skalski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Review A and Communications in Mathematical Physics.

In The Last Decade

Guillaume Aubrun

19 papers receiving 247 citations

Peers

Guillaume Aubrun
Comparison fields: 5 of 29
  • Artificial Intelligence 156
  • Atomic and Molecular Physics, and Optics 138
  • Statistics and Probability 72
  • Applied Mathematics 50
  • Mathematical Physics 38
Replace Rajesh Pereira with:
Rajesh Pereira Canada
Cambyse Rouzé Germany
Dario Trevisan Italy
B. V. Rajarama Bhat India
Г. Г. Амосов Russia
Tommaso Isola Italy
Carlos Palazuelos Spain
Paolo Aniello Italy
Arleta Szkoła Germany
Kari Ylinen Finland
Rajesh Pereira Canada View profile →
Citations per field, relative to Guillaume Aubrun
Guillaume Aubrun · 1×
Citations per year, relative to Guillaume Aubrun
Guillaume Aubrun · 1×

Countries citing papers authored by Guillaume Aubrun

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Aubrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Aubrun

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 2
5 0
6 11
7 43
8 2
9 0
10
Two proofs of Størmer's theorem
2
11 7
12 16
13 25
14 11
15 16
16
Maximal inequality for high-dimensional cubes: quantitative estimates
1
17 28
18
Tensor products of convex sets and the volume of separable states on N qudits (10 pages)
6
19 12
20 5

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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