Yan Pautrat

14 papers receiving 292 citations

Peers

Yan Pautrat
Comparison fields: 5 of 31
  • Statistical and Nonlinear Physics 136
  • Computational Mathematics 5
  • Atomic and Molecular Physics, and Optics 231
  • Artificial Intelligence 175
  • Statistics and Probability 34
Replace Clément Pellegrini with:
Clément Pellegrini France
Filip Wudarski United States
Sergii Strelchuk United Kingdom
Cambyse Rouzé Germany
Daniel Waltner Germany
Wojciech Roga Japan
Zeqian Chen China
Yimin Ge Germany
M. El Baz Morocco
Matteo Gregoratti Italy
Yan Pautrat relative to Clément Pellegrini France Clément Pellegrini's profile →
Citations per field
00.5×1.5×2.4×
Clément Pellegrini · 1×
Citations per year

Countries citing papers authored by Yan Pautrat

Since Specialization
Citations

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

Fields of papers citing papers by Yan Pautrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Yan Pautrat, 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 Yan Pautrat Line = papers co-authored together Yan Pautrat links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2006111
2 200742
3 201534
4
Homogeneous open quantum random walks a lattice
201625
5 201016
6 201615
7
Introduction to non-equilibrium quantum statistical mechanics
200515
8 200811
9 20168
10 20217
11 20057
12 20155
13 20053
14 20201
15 20230

About Yan Pautrat

Yan Pautrat is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Statistics and Probability and Mathematical Physics, having authored 15 papers that have together received 300 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (8 papers), Quantum Mechanics and Applications (8 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Quantum Computing Algorithms and Architecture (4 papers), Quantum and electron transport phenomena (4 papers), Quantum many-body systems (4 papers), Random Matrices and Applications (3 papers) and Advanced Operator Algebra Research (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (136 citations), Computational Mathematics (5 citations), Atomic and Molecular Physics, and Optics (231 citations), Artificial Intelligence (175 citations) and Statistics and Probability (34 citations). Yan Pautrat has collaborated with scholars based in France, Canada and Italy. Frequent co-authors include Stéphane Attal, Raffaella Carbone, Claude‐Alain Pillet, Walter H. Aschbacher, Vojkan Jakšić, Vojkan Jakšić, Clément Pellegrini, Alain Joye and Martin Fraas. Their work appears in journals such as Annales Henri Poincaré, Communications in Mathematical Physics, Mathematical Physics Analysis and Geometry, Journal of Statistical Physics and Annales de l Institut Henri Poincaré Probabilités et Statistiques.

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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