Tom Claeys

1.1k total citations
36 papers, 563 citations indexed

About

Tom Claeys is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Tom Claeys has authored 36 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 23 papers in Mathematical Physics and 12 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Tom Claeys's work include Random Matrices and Applications (28 papers), Advanced Algebra and Geometry (12 papers) and Advanced Combinatorial Mathematics (12 papers). Tom Claeys is often cited by papers focused on Random Matrices and Applications (28 papers), Advanced Algebra and Geometry (12 papers) and Advanced Combinatorial Mathematics (12 papers). Tom Claeys collaborates with scholars based in Belgium, France and United Kingdom. Tom Claeys's co-authors include Тамара Грава, Arno B. J. Kuijlaars, M. Vanlessen, Igor Krasovsky, Alexander Its, Francesco Mezzadri, Dong Wang, F. Wielonsky, Dong Wang and Jonathan P. Keating and has published in prestigious journals such as Communications in Mathematical Physics, Annals of Mathematics and Communications on Pure and Applied Mathematics.

In The Last Decade

Tom Claeys

34 papers receiving 522 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Claeys Belgium 14 307 292 232 150 139 36 563
Estelle Basor United States 16 287 0.9× 266 0.9× 121 0.5× 219 1.5× 61 0.4× 45 630
Andrei Kapaev Russia 12 98 0.3× 115 0.4× 374 1.6× 130 0.9× 240 1.7× 27 546
T. H. Baker Australia 8 104 0.3× 146 0.5× 99 0.4× 69 0.5× 119 0.9× 20 308
V. Yu. Novokshenov Russia 8 59 0.2× 130 0.4× 376 1.6× 113 0.8× 193 1.4× 37 541
Yury A. Neretin Russia 13 124 0.4× 399 1.4× 57 0.2× 145 1.0× 207 1.5× 83 537
Dimitri Gioev United States 5 144 0.5× 133 0.5× 107 0.5× 52 0.3× 28 0.2× 8 497
Kimio Ueno Japan 12 66 0.2× 268 0.9× 515 2.2× 107 0.7× 517 3.7× 20 829
Nicolas Crampé France 11 61 0.2× 112 0.4× 184 0.8× 23 0.2× 220 1.6× 58 414
J. F. van Diejen Chile 13 37 0.1× 214 0.7× 419 1.8× 240 1.6× 328 2.4× 67 708
Bertrand Eynard France 10 46 0.1× 162 0.6× 140 0.6× 34 0.2× 200 1.4× 21 381

Countries citing papers authored by Tom Claeys

Since Specialization
Citations

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

Fields of papers citing papers by Tom Claeys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Claeys

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Claeys. A scholar is included among the top collaborators of Tom Claeys 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 Tom Claeys. Tom Claeys 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
1.
Claeys, Tom, et al.. (2025). Deformations of biorthogonal ensembles and universality. Electronic Journal of Probability. 30(none).
2.
Claeys, Tom, et al.. (2024). Jánossy Densities and Darboux Transformations for the Stark and Cylindrical KdV Equations. Communications in Mathematical Physics. 405(5). 5 indexed citations
3.
Claeys, Tom, et al.. (2023). Weak and Strong Confinement in the Freud Random Matrix Ensemble and Gap Probabilities. Communications in Mathematical Physics. 402(1). 833–894. 3 indexed citations
4.
Claeys, Tom, et al.. (2023). Moments of moments of the characteristic polynomials of random orthogonal and symplectic matrices. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2270). 1 indexed citations
5.
Claeys, Tom, et al.. (2022). Uniform tail asymptotics for Airy kernel determinant solutions to KdV and for the narrow wedge solution to KPZ. Journal of Functional Analysis. 283(8). 109608–109608. 8 indexed citations
6.
Claeys, Tom, et al.. (2021). Global rigidity and exponential moments for soft and hard edge point processes. 2(2). 363–417. 9 indexed citations
7.
Claeys, Tom, et al.. (2021). A Riemann‐Hilbert Approach to the Lower Tail of the Kardar‐Parisi‐Zhang Equation. Communications on Pure and Applied Mathematics. 75(3). 493–540. 22 indexed citations
8.
Claeys, Tom, et al.. (2019). Large Gap Asymptotics for Airy Kernel Determinants with Discontinuities. Communications in Mathematical Physics. 375(2). 1299–1339. 19 indexed citations
9.
Claeys, Tom, et al.. (2019). Fredholm Determinant Solutions of the Painlevé II Hierarchy and Gap Probabilities of Determinantal Point Processes. International Mathematics Research Notices. 2021(4). 2437–2478. 13 indexed citations
10.
Claeys, Tom, et al.. (2018). The Generating Function for the Airy Point Process and a System of Coupled Painlevé II Equations : The Airy Point Process and Coupled Painlevé II Equations. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 15 indexed citations
11.
Claeys, Tom, et al.. (2018). Propagation of Singular Behavior for Gaussian Perturbations of Random Matrices. Communications in Mathematical Physics. 362(1). 1–54. 7 indexed citations
12.
Claeys, Tom, et al.. (2016). Random Matrices with Merging Singularities and the Painlevé V Equation. Symmetry Integrability and Geometry Methods and Applications. 8 indexed citations
13.
Claeys, Tom, Arno B. J. Kuijlaars, & Dong Wang. (2015). Correlation kernels for sums and products of random matrices. Random Matrices Theory and Application. 4(4). 1550017–1550017. 10 indexed citations
14.
Claeys, Tom & F. Wielonsky. (2013). On sequences of rational interpolants of the exponential function with unbounded interpolation points. Journal of Approximation Theory. 171. 1–32. 3 indexed citations
15.
Грава, Тамара & Tom Claeys. (2011). The KdV Hierarchy: Universality and a Painlevé Transcendent. International Mathematics Research Notices. 2012(22). 5063–5099. 5 indexed citations
16.
Claeys, Tom & Тамара Грава. (2010). Solitonic Asymptotics for the Korteweg–de Vries Equation in the Small Dispersion Limit. SIAM Journal on Mathematical Analysis. 42(5). 2132–2154. 26 indexed citations
17.
Claeys, Tom & Igor Krasovsky. (2010). Emergence of a singularity for Toeplitz determinants and.
18.
Claeys, Tom, Igor Krasovsky, & Alexander Its. (2009). Higher‐order analogues of the Tracy‐Widom distribution and the Painlevé II hierarchy. Communications on Pure and Applied Mathematics. 63(3). 362–412. 39 indexed citations
19.
Claeys, Tom. (2008). Birth of a Cut in Unitary Random Matrix Ensembles. International Mathematics Research Notices. 16 indexed citations
20.
Claeys, Tom & M. Vanlessen. (2007). Universality of a Double Scaling Limit near Singular Edge Points in Random Matrix Models. Communications in Mathematical Physics. 273(2). 499–532. 37 indexed citations

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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2026