Stefan Güttel

2.3k total citations
53 papers, 1.1k citations indexed

About

Stefan Güttel is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Numerical Analysis. According to data from OpenAlex, Stefan Güttel has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Theory and Mathematics, 21 papers in Atomic and Molecular Physics, and Optics and 20 papers in Numerical Analysis. Recurrent topics in Stefan Güttel's work include Matrix Theory and Algorithms (33 papers), Electromagnetic Scattering and Analysis (21 papers) and Numerical methods for differential equations (14 papers). Stefan Güttel is often cited by papers focused on Matrix Theory and Algorithms (33 papers), Electromagnetic Scattering and Analysis (21 papers) and Numerical methods for differential equations (14 papers). Stefan Güttel collaborates with scholars based in United Kingdom, United States and Switzerland. Stefan Güttel's co-authors include Françoise Tisseur, Oliver G. Ernst, Leonid Knizhnerman, Michael Eiermann, Andreas Frommer, Martin J. Gander, Pedro Gonnet, Lloyd N. Trefethen, Ralph‐Uwe Börner and Bernhard Beckermann and has published in prestigious journals such as Automatica, Geophysical Journal International and Pattern Recognition.

In The Last Decade

Stefan Güttel

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Güttel United Kingdom 18 582 450 320 281 259 53 1.1k
Oliver G. Ernst Germany 18 519 0.9× 254 0.6× 344 1.1× 282 1.0× 178 0.7× 39 1.3k
Jianlin Xia United States 21 729 1.3× 385 0.9× 632 2.0× 414 1.5× 89 0.3× 73 1.5k
Noël M. Nachtigal United States 8 781 1.3× 443 1.0× 477 1.5× 231 0.8× 119 0.5× 10 1.2k
Olof Runborg Sweden 16 362 0.6× 163 0.4× 256 0.8× 230 0.8× 343 1.3× 51 1.5k
Vladimir Druskin United States 22 633 1.1× 513 1.1× 419 1.3× 605 2.2× 452 1.7× 55 1.9k
Zdeněk Strakoš Czechia 24 1.2k 2.0× 576 1.3× 488 1.5× 141 0.5× 168 0.6× 58 1.8k
Sergio Blanes Spain 21 348 0.6× 991 2.2× 342 1.1× 354 1.3× 382 1.5× 82 1.6k
P. Sonneveld Netherlands 10 752 1.3× 363 0.8× 418 1.3× 209 0.7× 82 0.3× 19 1.2k
Michael Eiermann Germany 17 705 1.2× 482 1.1× 283 0.9× 94 0.3× 84 0.3× 34 972
Tzanio Kolev United States 24 469 0.8× 286 0.6× 259 0.8× 388 1.4× 103 0.4× 72 1.9k

Countries citing papers authored by Stefan Güttel

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Güttel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Güttel

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Güttel. A scholar is included among the top collaborators of Stefan Güttel 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 Stefan Güttel. Stefan Güttel 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.
Burke, Laura I., et al.. (2025). GMRES with Randomized Sketching and Deflated Restarting. SIAM Journal on Matrix Analysis and Applications. 46(1). 702–725.
2.
Güttel, Stefan, et al.. (2024). A Sketch-and-Select Arnoldi Process. SIAM Journal on Scientific Computing. 46(4). A2774–A2797. 2 indexed citations
3.
Güttel, Stefan, Daniel Kreßner, & Bart Vandereycken. (2024). Randomized Sketching of Nonlinear Eigenvalue Problems. SIAM Journal on Scientific Computing. 46(5). A3022–A3043. 1 indexed citations
4.
Chen, Xinye & Stefan Güttel. (2024). Fast and exact fixed-radius neighbor search based on sorting. PeerJ Computer Science. 10. e1929–e1929. 2 indexed citations
5.
Chen, Xinye & Stefan Güttel. (2024). Fast and explainable clustering based on sorting. Pattern Recognition. 150. 110298–110298. 4 indexed citations
6.
Burke, Laura I. & Stefan Güttel. (2024). Krylov Subspace Recycling with Randomized Sketching for Matrix Functions. SIAM Journal on Matrix Analysis and Applications. 45(4). 2243–2262. 2 indexed citations
7.
Chen, Xinye & Stefan Güttel. (2022). An Efficient Aggregation Method for the Symbolic Representation of Temporal Data. ACM Transactions on Knowledge Discovery from Data. 17(1). 1–22. 3 indexed citations
8.
Güttel, Stefan, et al.. (2020). Limited‐memory polynomial methods for large‐scale matrix functions. GAMM-Mitteilungen. 43(3). 11 indexed citations
9.
Güttel, Stefan, Xiuyan Ren, Changchun Yin, et al.. (2019). A block rational Krylov method for 3-D time-domain marine controlled-source electromagnetic modelling. Geophysical Journal International. 218(1). 100–114. 21 indexed citations
10.
Kinyanjui, Timothy, Jo Middleton, Stefan Güttel, et al.. (2018). Scabies in residential care homes: Modelling, inference and interventions for well-connected population sub-units. PLoS Computational Biology. 14(3). e1006046–e1006046. 16 indexed citations
11.
Güttel, Stefan, et al.. (2015). Generalized Rational Krylov Decompositions with an Application to Rational Approximation. SIAM Journal on Matrix Analysis and Applications. 36(2). 894–916. 41 indexed citations
12.
Güttel, Stefan, et al.. (2014). A Rational Krylov Toolbox for MATLAB. MIMS EPrints (University of Southampton). 5 indexed citations
13.
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
14.
Güttel, Stefan & Leonid Knizhnerman. (2013). A black-box rational Arnoldi variant for Cauchy–Stieltjes matrix functions. BIT Numerical Mathematics. 53(3). 595–616. 33 indexed citations
15.
Gonnet, Pedro, Stefan Güttel, & Lloyd N. Trefethen. (2013). Robust Padé Approximation via SVD. SIAM Review. 55(1). 101–117. 73 indexed citations
16.
Jarlebring, Elias & Stefan Güttel. (2012). A spatially adaptive iterative method for a class of nonlinear operator eigenproblems. MIMS EPrints (University of Southampton). 4 indexed citations
17.
Beckermann, Bernhard & Stefan Güttel. (2012). Superlinear convergence of the rational Arnoldi method for the approximation of matrix functions. Numerische Mathematik. 121(2). 205–236. 18 indexed citations
18.
Geiser, Jürgen & Stefan Güttel. (2011). Coupling methods for heat transfer and heat flow: Operator splitting and the parareal algorithm. Journal of Mathematical Analysis and Applications. 388(2). 873–887. 7 indexed citations
19.
Güttel, Stefan, et al.. (2011). Automated parameter selection for Markov functions. Research Explorer (The University of Manchester). 15–18. 1 indexed citations
20.
Eiermann, Michael, et al.. (2008). Implementation of a restarted Krylov subspace method for the evaluation of matrix functions. Linear Algebra and its Applications. 429(10). 2293–2314. 69 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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