Patrick Desrosiers
Impact in
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- Advanced Combinatorial Mathematics
- Statistics and Probability top 5%
- Random Matrices and Applications
Papers in
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- Nonlinear Waves and Solitons 8
- Complex Network Analysis Techniques 6
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- Algebraic structures and combinatorial models 13
- Co-authors
- Peter J. Forrester (4 shared papers)Pierre Mathieu (13 shared papers)Luc Lapointe (12 shared papers)Antoine Allard (7 shared papers)Feng Wang (1 shared paper)Erik Bélanger (1 shared paper)Sylvain Côté (1 shared paper)Yves De Koninck (1 shared paper)
In The Last Decade
Patrick Desrosiers
38 papers receiving 431 citations
Peers
Comparison fields: 5 of 75
- Discrete Mathematics and Combinatorics 96
- Statistics and Probability 115
- Geometry and Topology 117
- Algebra and Number Theory 61
- Mathematical Physics 114
Countries citing papers authored by Patrick Desrosiers
This map shows the geographic impact of Patrick Desrosiers'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 Patrick Desrosiers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Desrosiers more than expected).
Fields of papers citing papers by Patrick Desrosiers
This network shows the impact of papers produced by Patrick Desrosiers. 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 Patrick Desrosiers. The network helps show where Patrick Desrosiers may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Desrosiers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2024 | 38 | |
| 3 | 2008 | 37 | |
| 4 | 2009 | 32 | |
| 5 | 2006 | 29 | |
| 6 | 2015 | 17 | |
| 7 | 2006 | 17 | |
| 8 | 2006 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2011 | 14 | |
| 12 | 2023 | 12 | |
| 13 | 2006 | 10 | |
| 14 | 2012 | 10 | |
| 15 | 2012 | 9 | |
| 16 | 2012 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2003 | 8 | |
| 19 | 2 ASYMPTOTICS FOR PRODUCTS OF CHARACTERISTIC POLYNOMIALS IN CLASSICAL β-ENSEMBLES | 2016 | 8 |
| 20 | 2017 | 7 |
About Patrick Desrosiers
Patrick Desrosiers is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Discrete Mathematics and Combinatorics, Cognitive Neuroscience and Statistics and Probability, having authored 40 papers that have together received 436 indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (13 papers), Advanced Combinatorial Mathematics (10 papers), Random Matrices and Applications (9 papers), Nonlinear Waves and Solitons (8 papers), Neural dynamics and brain function (8 papers), Quantum Mechanics and Non-Hermitian Physics (7 papers), Complex Network Analysis Techniques (6 papers) and Advanced Algebra and Geometry (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (96 citations), Statistics and Probability (115 citations), Geometry and Topology (117 citations), Algebra and Number Theory (61 citations) and Mathematical Physics (114 citations). Patrick Desrosiers has collaborated with scholars based in Canada, Chile and Australia. Frequent co-authors include Peter J. Forrester, Pierre Mathieu, Luc Lapointe, Antoine Allard, Feng Wang, Erik Bélanger, Sylvain Côté, Yves De Koninck, Steven A. Prescott and Daniel Côté. Their work appears in journals such as Nuclear Physics B, International Mathematics Research Notices, Neurophotonics, Physical review. E and Nature Physics.
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.