Thomas Trogdon

822 total citations
40 papers, 412 citations indexed

About

Thomas Trogdon is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Thomas Trogdon has authored 40 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 15 papers in Statistics and Probability and 13 papers in Mathematical Physics. Recurrent topics in Thomas Trogdon's work include Random Matrices and Applications (15 papers), Nonlinear Waves and Solitons (15 papers) and Matrix Theory and Algorithms (11 papers). Thomas Trogdon is often cited by papers focused on Random Matrices and Applications (15 papers), Nonlinear Waves and Solitons (15 papers) and Matrix Theory and Algorithms (11 papers). Thomas Trogdon collaborates with scholars based in United States, Australia and Canada. Thomas Trogdon's co-authors include Sheehan Olver, Bernard Deconinck, Vishal Vasan, Percy Deift, Gino Biondini, Alex Townsend, Govind Menon, Simon-Pierre Gorza, Aukosh Jagannath and Xiucai Ding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Optics Letters.

In The Last Decade

Thomas Trogdon

38 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Trogdon United States 10 215 152 98 81 73 40 412
Pierpaolo Natalini Italy 14 107 0.5× 47 0.3× 91 0.9× 375 4.6× 81 1.1× 71 579
Frédéric Hérau France 10 149 0.7× 202 1.3× 11 0.1× 204 2.5× 43 0.6× 23 402
Alexander Fedotov Russia 9 123 0.6× 178 1.2× 17 0.2× 64 0.8× 80 1.1× 52 320
Alexander Tovbis United States 15 598 2.8× 250 1.6× 58 0.6× 65 0.8× 232 3.2× 54 749
Clemens Markett Germany 12 80 0.4× 128 0.8× 66 0.7× 366 4.5× 85 1.2× 42 473
Alfredo Deaño Spain 12 57 0.3× 37 0.2× 171 1.7× 242 3.0× 132 1.8× 36 419
Alexander Komech Russia 18 485 2.3× 700 4.6× 130 1.3× 94 1.2× 137 1.9× 87 850
M. Burak Erdoğan United States 15 192 0.9× 487 3.2× 36 0.4× 221 2.7× 19 0.3× 55 663
Matheus J. Lazo Brazil 11 127 0.6× 34 0.2× 78 0.8× 72 0.9× 44 0.6× 30 367

Countries citing papers authored by Thomas Trogdon

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Trogdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Trogdon

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Trogdon. A scholar is included among the top collaborators of Thomas Trogdon 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 Thomas Trogdon. Thomas Trogdon 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.
Greenbaum, Anne, et al.. (2024). GMRES, pseudospectra, and Crouzeix’s conjecture for shifted and scaled Ginibre matrices. Mathematics of Computation. 94(351). 241–261. 1 indexed citations
2.
Liu, Anne & Thomas Trogdon. (2023). An artificially-damped Fourier method for dispersive evolution equations. Applied Numerical Mathematics. 192. 19–40. 1 indexed citations
3.
Trogdon, Thomas, et al.. (2023). Stability of the Lanczos algorithm on matrices with regular spectral distributions. Linear Algebra and its Applications. 682. 191–237.
4.
Trogdon, Thomas, et al.. (2023). Growth Factors of Random Butterfly Matrices and the Stability of Avoiding Pivoting. SIAM Journal on Matrix Analysis and Applications. 44(3). 945–970. 5 indexed citations
5.
Trogdon, Thomas, et al.. (2023). A Riemann–Hilbert approach to computing the inverse spectral map for measures supported on disjoint intervals. Studies in Applied Mathematics. 152(1). 31–72. 2 indexed citations
6.
Ding, Xiucai & Thomas Trogdon. (2021). The conjugate gradient algorithm on a general class of spiked covariance matrices. Quarterly of Applied Mathematics. 80(1). 99–155. 3 indexed citations
7.
Trogdon, Thomas. (2019). On spectral and numerical properties of random butterfly matrices. Applied Mathematics Letters. 95. 48–58. 5 indexed citations
8.
Deift, Percy & Thomas Trogdon. (2019). Universality in numerical computation with random data: Case studies and analytical results. Journal of Mathematical Physics. 60(10). 1 indexed citations
9.
Trogdon, Thomas & Gino Biondini. (2018). Evolution partial differential equations with discontinuous data. Quarterly of Applied Mathematics. 77(4). 689–726. 8 indexed citations
10.
Jagannath, Aukosh & Thomas Trogdon. (2017). Random matrices and the New York City subway system. Physical review. E. 96(3). 30101–30101. 7 indexed citations
11.
Deift, Percy & Thomas Trogdon. (2017). Universality for Eigenvalue Algorithms on Sample Covariance Matrices. SIAM Journal on Numerical Analysis. 55(6). 2835–2862. 8 indexed citations
12.
Menon, Govind & Thomas Trogdon. (2016). Smoothed Analysis for the Conjugate Gradient Algorithm. Symmetry Integrability and Geometry Methods and Applications. 3 indexed citations
13.
Trogdon, Thomas & Sheehan Olver. (2015). Riemann–Hilbert Problems, Their Numerical Solution, and the Computation of Nonlinear Special Functions. Society for Industrial and Applied Mathematics eBooks. 65 indexed citations
14.
Trogdon, Thomas. (2014). On the application of GMRES to oscillatory singular integral equations. BIT Numerical Mathematics. 55(2). 591–620. 4 indexed citations
15.
Trogdon, Thomas & Bernard Deconinck. (2013). A Riemann–Hilbert problem for the finite-genus solutions of the KdV equation and its numerical solution. Physica D Nonlinear Phenomena. 251. 1–18. 8 indexed citations
16.
Trogdon, Thomas & Bernard Deconinck. (2012). Numerical computation of the finite-genus solutions of the Korteweg–de Vries equation via Riemann–Hilbert problems. Applied Mathematics Letters. 26(1). 5–9. 26 indexed citations
17.
Gorza, Simon-Pierre, Bernard Deconinck, Thomas Trogdon, Philippe Emplit, & Marc Haelterman. (2012). Neck instability of bright solitons in normally dispersive Kerr media. Optics Letters. 37(22). 4657–4657. 2 indexed citations
18.
Trogdon, Thomas & Sheehan Olver. (2012). Numerical inverse scattering for the focusing and defocusing nonlinear Schrödinger equations. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 469(2149). 21 indexed citations
19.
Gorza, Simon-Pierre, Bernard Deconinck, Ph. Emplit, Thomas Trogdon, & M. Haelterman. (2011). Experimental Demonstration of the Oscillatory Snake Instability of the Bright Soliton of the(2+1)DHyperbolic Nonlinear Schrödinger Equation. Physical Review Letters. 106(9). 94101–94101. 16 indexed citations
20.
Trogdon, Thomas & Bernard Deconinck. (2011). The solution of linear constant-coefficient evolution PDEs with periodic boundary conditions. Applicable Analysis. 91(3). 529–544. 11 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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