Karl Meerbergen

3.8k total citations · 1 hit paper
101 papers, 2.5k citations indexed

About

Karl Meerbergen is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Karl Meerbergen has authored 101 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computational Theory and Mathematics, 41 papers in Numerical Analysis and 35 papers in Statistical and Nonlinear Physics. Recurrent topics in Karl Meerbergen's work include Matrix Theory and Algorithms (60 papers), Model Reduction and Neural Networks (33 papers) and Numerical methods for differential equations (22 papers). Karl Meerbergen is often cited by papers focused on Matrix Theory and Algorithms (60 papers), Model Reduction and Neural Networks (33 papers) and Numerical methods for differential equations (22 papers). Karl Meerbergen collaborates with scholars based in Belgium, United States and Sweden. Karl Meerbergen's co-authors include Françoise Tisseur, Wim Michiels, Raf Vandebril, Nick Vannieuwenhoven, Elias Jarlebring, Roel Van Beeumen, A. Spence, Dirk Roose, Yue Yao and Richard B. Lehoucq and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematics of Computation and Pattern Recognition.

In The Last Decade

Karl Meerbergen

89 papers receiving 2.2k citations

Hit Papers

The Quadratic Eigenvalue Problem 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl Meerbergen Belgium 22 1.2k 790 537 523 476 101 2.5k
Wen‐Wei Lin Taiwan 26 1.3k 1.1× 781 1.0× 490 0.9× 507 1.0× 237 0.5× 155 2.4k
Françoise Tisseur United Kingdom 25 1.9k 1.7× 1.3k 1.7× 726 1.4× 396 0.8× 397 0.8× 68 3.0k
Moody T. Chu United States 27 1.4k 1.2× 840 1.1× 202 0.4× 356 0.7× 426 0.9× 97 2.6k
Marc Van Barel Belgium 23 1.3k 1.1× 623 0.8× 355 0.7× 327 0.6× 419 0.9× 220 2.3k
Adhemar Bultheel Belgium 25 869 0.7× 581 0.7× 300 0.6× 488 0.9× 329 0.7× 278 3.0k
Daniel Kreßner Switzerland 25 1.5k 1.3× 777 1.0× 431 0.8× 628 1.2× 738 1.6× 148 2.8k
Stefan Vandewalle Belgium 30 695 0.6× 1.1k 1.4× 353 0.7× 233 0.4× 925 1.9× 126 2.8k
Roland W. Freund United States 26 2.1k 1.8× 1.5k 1.9× 1.4k 2.6× 763 1.5× 963 2.0× 59 3.9k
Boris N. Khoromskij Germany 35 1.6k 1.3× 311 0.4× 1.1k 2.0× 600 1.1× 926 1.9× 115 3.3k
Biswa Nath Datta United States 26 944 0.8× 695 0.9× 168 0.3× 339 0.6× 177 0.4× 117 2.5k

Countries citing papers authored by Karl Meerbergen

Since Specialization
Citations

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

Fields of papers citing papers by Karl Meerbergen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Meerbergen

This figure shows the co-authorship network connecting the top 25 collaborators of Karl Meerbergen. A scholar is included among the top collaborators of Karl Meerbergen 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 Karl Meerbergen. Karl Meerbergen 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.
Naets, Frank, et al.. (2024). AAA rational approximation for time domain model order reduction. Applied Mathematics Letters. 157. 109188–109188.
2.
Meerbergen, Karl, et al.. (2023). Contour Integration for Eigenvector Nonlinearities. SIAM Journal on Matrix Analysis and Applications. 44(4). 1619–1644. 1 indexed citations
3.
Jarlebring, Elias, et al.. (2022). Linearizable Eigenvector Nonlinearities. SIAM Journal on Matrix Analysis and Applications. 43(2). 764–786. 3 indexed citations
4.
Meerbergen, Karl, et al.. (2021). Automatic rational approximation and linearization of nonlinear eigenvalue problems. Lirias (KU Leuven). 28 indexed citations
5.
Camps, Daan, Karl Meerbergen, & Raf Vandebril. (2018). An implicit filter for rational Krylov using core transformations. Linear Algebra and its Applications. 561. 113–140. 5 indexed citations
6.
Vannieuwenhoven, Nick, Johannes Nicaise, Raf Vandebril, & Karl Meerbergen. (2014). On Generic Nonexistence of the Schmidt--Eckart--Young Decomposition for Complex Tensors. SIAM Journal on Matrix Analysis and Applications. 35(3). 886–903. 11 indexed citations
7.
Beeumen, Roel Van, Karl Meerbergen, & Wim Michiels. (2013). A practical rational Krylov algorithm for solving large-scale nonlinear eigenvalue problems. 1 indexed citations
8.
Yao, Yue & Karl Meerbergen. (2013). Parametric model order reduction of damped mechanical systems via the block Arnoldi process. Applied Mathematics Letters. 26(6). 643–648. 11 indexed citations
9.
Ghysels, Pieter, Thomas J. Ashby, Karl Meerbergen, & Wim Vanroose. (2013). Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines. SIAM Journal on Scientific Computing. 35(1). C48–C71. 72 indexed citations
10.
Markidis, Stefano, et al.. (2013). High Performance Solvers for Implicit Particle in Cell Simulation. Procedia Computer Science. 18. 2251–2258. 6 indexed citations
11.
Meerbergen, Karl & Raf Vandebril. (2011). A reflection on the implicitly restarted Arnoldi method for computing eigenvalues near a vertical line. Linear Algebra and its Applications. 436(8). 2828–2844. 7 indexed citations
12.
Vannieuwenhoven, Nick & Karl Meerbergen. (2010). An element-by-element algebraic multilevel block-ilu preconditioner. Lirias (KU Leuven).
13.
Jarlebring, Elias, Karl Meerbergen, & Wim Michiels. (2010). An Arnoldi like method for the delay eigenvalue problem. Lirias (KU Leuven). 4 indexed citations
14.
Meerbergen, Karl, et al.. (2008). Connection and comparison between frequency shift time integration and a spectral transformation preconditioner. Numerical Linear Algebra with Applications. 16(1). 1–17. 3 indexed citations
15.
Meerbergen, Karl, et al.. (2007). An efficient computational procedure for random vibro-acoustic simulations. Journal of Sound and Vibration. 310(1-2). 448–458. 6 indexed citations
16.
Meerbergen, Karl. (2005). The Lanczos method: evolution and application.. Mathematics of Computation. 74. 13 indexed citations
17.
Knapen, Tomas, et al.. (2004). Simulation of randomly excited acoustic insulation systems using finite element approaches. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 4 indexed citations
18.
Meerbergen, Karl, et al.. (2002). Theory and software for Krylov methods for the computation of the frequency response of large acoustic finite element models. Lirias (KU Leuven). 1 indexed citations
19.
Tisseur, Françoise & Karl Meerbergen. (2001). The Quadratic Eigenvalue Problem. SIAM Review. 43(2). 235–286. 948 indexed citations breakdown →
20.
Meerbergen, Karl. (1996). A survey of preconditioned iterative methods. Journal of Computational and Applied Mathematics. 66(1-2). N4–N5. 51 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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