Jörg Liesen

3.5k total citations · 1 hit paper
52 papers, 2.3k citations indexed

About

Jörg Liesen is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Jörg Liesen has authored 52 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 23 papers in Numerical Analysis and 13 papers in Computational Mechanics. Recurrent topics in Jörg Liesen's work include Matrix Theory and Algorithms (32 papers), Advanced Optimization Algorithms Research (13 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). Jörg Liesen is often cited by papers focused on Matrix Theory and Algorithms (32 papers), Advanced Optimization Algorithms Research (13 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). Jörg Liesen collaborates with scholars based in Germany, Czechia and United States. Jörg Liesen's co-authors include Michele Benzi, Gene H. Golub, Zdeněk Strakoš, Eric de Sturler, Petr Tichý, Volker Mehrmann, Beresford Ν. Parlett, Miroslav Rozložńık, Mohamed M. S. Nasser and Vance Faber and has published in prestigious journals such as SIAM Journal on Numerical Analysis, SIAM Review and SIAM Journal on Scientific Computing.

In The Last Decade

Jörg Liesen

47 papers receiving 2.0k citations

Hit Papers

Numerical solution of saddle point problems 2005 2026 2012 2019 2005 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Numerical solution of saddle point problems
    2005 1.6k citations Jörg Liesen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Liesen Germany 16 1.6k 1.3k 836 797 201 52 2.3k
Gérard Meurant France 20 1.5k 1.0× 1.1k 0.8× 654 0.8× 679 0.9× 268 1.3× 68 2.3k
Andy Wathen United Kingdom 24 1.1k 0.7× 1.2k 0.9× 540 0.6× 622 0.8× 215 1.1× 62 1.8k
Anne Greenbaum United States 23 1.5k 0.9× 872 0.7× 810 1.0× 754 0.9× 249 1.2× 62 2.6k
Yvan Notay Belgium 22 1.2k 0.8× 1.1k 0.9× 605 0.7× 485 0.6× 179 0.9× 71 1.8k
Zdeněk Strakoš Czechia 24 1.2k 0.7× 713 0.5× 488 0.6× 576 0.7× 108 0.5× 58 1.8k
J. A. Meijerink Netherlands 8 1.2k 0.8× 1.1k 0.8× 665 0.8× 502 0.6× 217 1.1× 10 2.1k
Boris N. Khoromskij Germany 35 1.6k 1.0× 926 0.7× 1.1k 1.3× 311 0.4× 322 1.6× 115 3.3k
Miroslav Tůma Czechia 19 1.3k 0.8× 726 0.6× 942 1.1× 416 0.5× 116 0.6× 64 1.7k
Karl Meerbergen Belgium 22 1.2k 0.7× 476 0.4× 537 0.6× 790 1.0× 251 1.2× 101 2.5k
Andreas Frommer Germany 26 1.6k 1.0× 471 0.4× 498 0.6× 1.0k 1.3× 52 0.3× 118 2.5k

Countries citing papers authored by Jörg Liesen

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Liesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Liesen

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Liesen. A scholar is included among the top collaborators of Jörg Liesen 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 Jörg Liesen. Jörg Liesen 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.
Liesen, Jörg & Volker Mehrmann. (2025). Linear Algebra. 1 indexed citations
2.
Carson, Erin, Jörg Liesen, & Zdeněk Strakoš. (2024). Towards understanding CG and GMRES through examples. Linear Algebra and its Applications. 692. 241–291. 4 indexed citations
3.
Liesen, Jörg, et al.. (2023). Computing the logarithmic capacity of compact sets having (infinitely) many components with the charge simulation method. Numerical Algorithms. 93(2). 581–614. 3 indexed citations
4.
Liesen, Jörg, et al.. (2022). On Non-Hermitian Positive (Semi)Definite Linear Algebraic Systems Arising from Dissipative Hamiltonian DAEs. SIAM Journal on Scientific Computing. 44(4). A2871–A2894. 9 indexed citations
5.
Liesen, Jörg, et al.. (2020). Analysis of the multiplicative Schwarz method for matrices with a special block structure. ETNA - Electronic Transactions on Numerical Analysis. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften).
6.
Abrahamczyk, Stefan, et al.. (2020). Long-term shifts in a suburban breeding bird community in Bonn, Germany. Bird Study. 67(4). 448–458. 1 indexed citations
7.
Liesen, Jörg & Annette Schäfer. (2019). Qualität zählt! - Vorteile und Nutzen der Qualitätsoffensive Naturparke. 0028-0615. 94(9+10). 396–401.
8.
Liesen, Jörg, et al.. (2018). Regionalentwicklung im Spannungsfeld von Naturpark Saar-Hunsrück und Nationalpark Hunsrück-Hochwald. Econstor (Econstor). 21. 122–150. 1 indexed citations
9.
Liesen, Jörg, et al.. (2015). Computing the logarithmic capacity of compact sets via conformal mapping. arXiv (Cornell University). 1 indexed citations
10.
Liesen, Jörg, et al.. (2015). On conformal maps from lemniscatic domains onto multiply-connected domains. arXiv (Cornell University). 2 indexed citations
11.
Liesen, Jörg, et al.. (2014). Distribution of the discretization and algebraic error in numerical solution of partial differential equations. Linear Algebra and its Applications. 449. 89–114. 11 indexed citations
12.
Liesen, Jörg & Zdeněk Strakoš. (2012). Krylov Subspace Methods. Oxford University Press eBooks. 52 indexed citations
13.
Russ, Steve, et al.. (2010). From Past to Future: Graßmann's Work in Context. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
14.
Liesen, Jörg & Petr Tichý. (2009). On Best Approximations of Polynomials in Matrices in the Matrix 2-Norm. SIAM Journal on Matrix Analysis and Applications. 31(2). 853–863. 7 indexed citations
15.
Sturler, Eric de & Jörg Liesen. (2006). Block-diagonal and constraint preconditioners for nonsymmetric indefinite linear systems. DepositOnce. 23 indexed citations
16.
Liesen, Jörg & Zdeněk Strakoš. (2005). GMRES Convergence Analysis for a Convection-Diffusion Model Problem. SIAM Journal on Scientific Computing. 26(6). 1989–2009. 26 indexed citations
17.
Liesen, Jörg & Petr Tichý. (2004). Convergence analysis of Krylov subspace methods. GAMM-Mitteilungen. 27(2). 153–173. 53 indexed citations
18.
Liesen, Jörg & Zdeněk Strakoš. (2003). Slow Initial Convergence of GMRES for SUPG Discretized Convection‐Diffusion Problems. PAMM. 3(1). 551–552. 2 indexed citations
19.
Liesen, Jörg, Miroslav Rozložńık, & Zdeněk Strakoš. (2002). Least Squares Residuals and Minimal Residual Methods. SIAM Journal on Scientific Computing. 23(5). 1503–1525. 34 indexed citations
20.
Liesen, Jörg, et al.. (2001). Preconditioners for Indefinite Linear Systems Arising in Surface Parameterization.. IMR. 3. 3368–3368. 15 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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