Benoı̂t Collins

80 papers receiving 2.2k citations

Peers

Benoı̂t Collins
Comparison fields: 5 of 39
  • Statistics and Probability 717
  • Mathematical Physics 441
  • Discrete Mathematics and Combinatorics 156
  • Atomic and Molecular Physics, and Optics 688
  • Artificial Intelligence 627
Replace Anatoli U. Klimyk with:
Anatoli U. Klimyk Ukraine
Greg W. Anderson United States
Richard V. Kadison United States
N. Ja. Vilenkin Ukraine
Armin Uhlmann Germany
Don Weingarten United States
Aleksandr Aleksandrovich Kirillov Russia
Anthony Sudbery United Kingdom
Harish-chandra Harish-Chandra United States
Jacques Dixmier France
Benoı̂t Collins relative to Anatoli U. Klimyk Ukraine Anatoli U. Klimyk's profile →
Citations per field
00.5×5×10.7×
Anatoli U. Klimyk · 1×
Citations per year

Countries citing papers authored by Benoı̂t Collins

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoı̂t Collins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoı̂t Collins Line = papers co-authored together Benoı̂t Collins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006437
2
2003262
3 2006242
4 2011139
5 201578
6 200763
7 200560
8 201060
9 201450
10 200949
11 201045
12 200742
13 200641
14 201039
15 202238
16 200933
17 200729
18 201029
19 201928
20 201127

About Benoı̂t Collins

Benoı̂t Collins is a scholar working on Statistics and Probability, Mathematical Physics, Discrete Mathematics and Combinatorics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Random Matrices and Applications (42 papers), Advanced Operator Algebra Research (25 papers), Quantum Information and Cryptography (20 papers), Quantum Mechanics and Applications (8 papers), Advanced Combinatorial Mathematics (8 papers), Quantum many-body systems (6 papers), Advanced Algebra and Geometry (4 papers) and Finite Group Theory Research (3 papers). The work is most often cited by research in Statistics and Probability (717 citations), Mathematical Physics (441 citations), Discrete Mathematics and Combinatorics (156 citations), Atomic and Molecular Physics, and Optics (688 citations) and Artificial Intelligence (627 citations). Benoı̂t Collins has collaborated with scholars based in France, Japan and Canada. Frequent co-authors include Piotr Śniady, Ion Nechita, Teodor Banica, Sho Matsumoto, Karol Życzkowski, Eugene A. Pluzhnik, Marc Jason Kuchner, Stephen T. Ridgway, Olivier Guyon and K. A. Penson. Their work appears in journals such as Communications in Mathematical Physics, Journal of Physics A Mathematical and Theoretical, International Mathematics Research Notices, Transactions of the American Mathematical Society and Journal of Functional Analysis.

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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