Roel Van Beeumen

787 total citations
41 papers, 462 citations indexed

About

Roel Van Beeumen is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Roel Van Beeumen has authored 41 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Theory and Mathematics, 15 papers in Artificial Intelligence and 13 papers in Numerical Analysis. Recurrent topics in Roel Van Beeumen's work include Matrix Theory and Algorithms (14 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum Information and Cryptography (10 papers). Roel Van Beeumen is often cited by papers focused on Matrix Theory and Algorithms (14 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum Information and Cryptography (10 papers). Roel Van Beeumen collaborates with scholars based in United States, Belgium and Sweden. Roel Van Beeumen's co-authors include Karl Meerbergen, Wim Michiels, Daan Camps, Wibe A. de Jong, Chao Yang, Stefan Güttel, Geert Lombaert, Lindsay Bassman Oftelie, Miroslav Urbánek and Lin Lin and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Roel Van Beeumen

35 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roel Van Beeumen United States 14 177 169 153 100 72 41 462
Silvia Noschese Italy 12 175 1.0× 88 0.5× 26 0.2× 84 0.8× 93 1.3× 39 428
Shao‐Liang Zhang Japan 9 180 1.0× 109 0.6× 39 0.3× 105 1.1× 23 0.3× 41 303
Naimin Zhang China 13 382 2.2× 222 1.3× 57 0.4× 210 2.1× 26 0.4× 40 488
Yuanzhe Xi United States 13 266 1.5× 216 1.3× 46 0.3× 48 0.5× 37 0.5× 36 390
Michael Peters Switzerland 10 88 0.5× 92 0.5× 24 0.2× 56 0.6× 15 0.2× 19 326
Jakob Zech Switzerland 9 66 0.4× 19 0.1× 81 0.5× 55 0.6× 130 1.8× 20 304
Yueh‐Cheng Kuo Taiwan 13 393 2.2× 88 0.5× 15 0.1× 95 0.9× 84 1.2× 50 702
Philipp Bader Spain 9 49 0.3× 136 0.8× 26 0.2× 100 1.0× 51 0.7× 21 298
Nawaf Bou‐Rabee United States 11 39 0.2× 35 0.2× 45 0.3× 142 1.4× 148 2.1× 23 472

Countries citing papers authored by Roel Van Beeumen

Since Specialization
Citations

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

Fields of papers citing papers by Roel Van Beeumen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roel Van Beeumen. 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 Roel Van Beeumen. The network helps show where Roel Van Beeumen may publish in the future.

Co-authorship network of co-authors of Roel Van Beeumen

This figure shows the co-authorship network connecting the top 25 collaborators of Roel Van Beeumen. A scholar is included among the top collaborators of Roel Van Beeumen 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 Roel Van Beeumen. Roel Van Beeumen 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.
Camps, Daan, Aaron Szasz, Katherine Klymko, et al.. (2025). Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach. Quantum. 9. 1836–1836.
2.
Oftelie, Lindsay Bassman, Roel Van Beeumen, Daan Camps, Wibe A. de Jong, & Maxime Dupont. (2024). Simulating dirty bosons on a quantum computer. New Journal of Physics. 26(1). 13030–13030. 1 indexed citations
3.
Mullinax, J. Wayne, et al.. (2024). A circuit-generated quantum subspace algorithm for the variational quantum eigensolver. The Journal of Chemical Physics. 161(16). 1 indexed citations
4.
Balewski, J., et al.. (2024). Quantum-parallel vectorized data encodings and computations on trapped-ion and transmon QPUs. Scientific Reports. 14(1). 3435–3435. 6 indexed citations
5.
Liu, Fangli, J. Balewski, Sheng-Tao Wang, et al.. (2024). False vacuum decay and nucleation dynamics in neutral atom systems. Physical review. B.. 110(15). 4 indexed citations
6.
Camps, Daan, et al.. (2023). Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution. eScholarship (California Digital Library). 381–382. 1 indexed citations
7.
Bethel, E. Wes, et al.. (2023). Quantum Computing and Visualization: A Disruptive Technological Change Ahead. IEEE Computer Graphics and Applications. 43(6). 101–111. 6 indexed citations
8.
Camps, Daan, Aaron Szasz, Katherine Klymko, et al.. (2023). Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach. eScholarship (California Digital Library). 302–303. 5 indexed citations
9.
Camps, Daan, et al.. (2022). Quantum pixel representations and compression for N-dimensional images. Scientific Reports. 12(1). 7712–7712. 20 indexed citations
10.
Urbánek, Miroslav, Daan Camps, Roel Van Beeumen, & Wibe A. de Jong. (2020). Chemistry on Quantum Computers with Virtual Quantum Subspace Expansion. Journal of Chemical Theory and Computation. 16(9). 5425–5431. 31 indexed citations
11.
Peng, Bo, Roel Van Beeumen, David B. Williams‐Young, Karol Kowalski, & Chao Yang. (2019). Approximate Green’s Function Coupled Cluster Method Employing Effective Dimension Reduction. Journal of Chemical Theory and Computation. 15(5). 3185–3196. 18 indexed citations
12.
Beeumen, Roel Van, et al.. (2019). A Scalable Matrix-Free Iterative Eigensolver for Studying Many-Body Localization. 179–187. 2 indexed citations
13.
Beeumen, Roel Van, Osni Marques, Esmond Ng, et al.. (2018). Computing resonant modes of accelerator cavities by solving nonlinear eigenvalue problems via rational approximation. Journal of Computational Physics. 374. 1031–1043. 3 indexed citations
14.
Beeumen, Roel Van, David B. Williams‐Young, Joseph M. Kasper, et al.. (2017). Model Order Reduction Algorithm for Estimating the Absorption Spectrum. Journal of Chemical Theory and Computation. 13(10). 4950–4961. 15 indexed citations
15.
Meerbergen, Karl, Wim Michiels, Roel Van Beeumen, & Emre Mengi. (2016). Computation of pseudospectral abscissa for large-scale nonlinear eigenvalue problems. IMA Journal of Numerical Analysis. drw065–drw065. 6 indexed citations
16.
Beeumen, Roel Van, Elias Jarlebring, & Wim Michiels. (2016). A rank‐exploiting infinite Arnoldi algorithm for nonlinear eigenvalue problems. Numerical Linear Algebra with Applications. 23(4). 607–628. 10 indexed citations
17.
Beeumen, Roel Van, Karl Meerbergen, & Wim Michiels. (2014). Compact rational Krylov methods for solving nonlinear eigenvalue problems.
18.
Güttel, Stefan, Roel Van Beeumen, Karl Meerbergen, & Wim Michiels. (2014). NLEIGS: A Class of Fully Rational Krylov Methods for Nonlinear Eigenvalue Problems. SIAM Journal on Scientific Computing. 36(6). A2842–A2864. 56 indexed citations
19.
Beeumen, Roel Van, Karl Meerbergen, & Wim Michiels. (2013). A practical rational Krylov algorithm for solving large-scale nonlinear eigenvalue problems. 1 indexed citations
20.
Beeumen, Roel Van, Karl Meerbergen, & Wim Michiels. (2012). A rational Krylov method based on Hermite interpolation for the nonlinear eigenvalue problem. Lirias (KU Leuven). 1 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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