Tom Claeys

1.1k citations
36 papers · 563 · h-index 14

Impact in

Papers in

Tom Claeys

34 papers receiving 522 citations

Peers

Tom Claeys
Comparison fields: 5 of 34
  • Statistics and Probability 307
  • Mathematical Physics 292
  • Discrete Mathematics and Combinatorics 97
  • Statistical and Nonlinear Physics 232
  • Geometry and Topology 139
Replace Estelle Basor with:
Estelle Basor United States
Andrei Kapaev Russia
V. Yu. Novokshenov Russia
J. F. van Diejen Chile
Kimio Ueno Japan
Dimitri Gioev United States
Nicolas Crampé France
T. H. Baker Australia
Vladimir V. Mangazeev Australia
L. Velázquez Spain
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Citations per field
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Citations per year

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-authors

The 10 scholars most cited alongside Tom Claeys, 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 Tom Claeys Line = papers co-authored together Tom Claeys links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200552
2 200849
3 200848
4 200939
5 200938
6 200737
7 201534
8 201026
9 202122
10 202122
11 201919
12 200816
13 201815
14 201515
15 201913
16 201013
17 201413
18 201713
19 201510
20 20219

About Tom Claeys

Tom Claeys is a scholar working on Statistics and Probability, Mathematical Physics, Discrete Mathematics and Combinatorics, Statistical and Nonlinear Physics and Applied Mathematics, having authored 36 papers that have together received 563 indexed citations. Recurring topics across this work include Random Matrices and Applications (28 papers), Advanced Algebra and Geometry (12 papers), Advanced Combinatorial Mathematics (12 papers), Nonlinear Waves and Solitons (11 papers), Stochastic processes and statistical mechanics (8 papers), Mathematical functions and polynomials (6 papers), Advanced Mathematical Physics Problems (4 papers) and Geometry and complex manifolds (3 papers). The work is most often cited by research in Statistics and Probability (307 citations), Mathematical Physics (292 citations), Discrete Mathematics and Combinatorics (97 citations), Statistical and Nonlinear Physics (232 citations) and Geometry and Topology (139 citations). Tom Claeys has collaborated with scholars based in Belgium, France and United Kingdom. Frequent 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. Their work appears in journals such as Communications in Mathematical Physics, International Mathematics Research Notices, Communications on Pure and Applied Mathematics, Random Matrices Theory and Application and Duke Mathematical Journal.

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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