Stefan Güttel
- Computational Theory and Mathematics top 1%
- Numerical Analysis top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Françoise TisseurOliver G. ErnstLeonid KnizhnermanMichael EiermannAndreas FrommerMartin J. GanderPedro GonnetLloyd N. Trefethen
- Topics
- Matrix Theory and Algorithms (33 papers)Electromagnetic Scattering and Analysis (21 papers)Numerical methods for differential equations (14 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Stefan Güttel
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 582
- Numerical Analysis 450
- Atomic and Molecular Physics, and Optics 320
- Electrical and Electronic Engineering 281
- Statistical and Nonlinear Physics 259
Countries citing papers authored by Stefan Güttel
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 21 | |
| 10 | 16 | |
| 11 | 41 | |
| 12 | A Rational Krylov Toolbox for MATLAB | 5 |
| 13 | 56 | |
| 14 | 33 | |
| 15 | 73 | |
| 16 | A spatially adaptive iterative method for a class of nonlinear operator eigenproblems | 4 |
| 17 | 18 | |
| 18 | 7 | |
| 19 | Automated parameter selection for Markov functions | 1 |
| 20 | 69 |
About Stefan Güttel
Stefan Güttel is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (33 papers), Electromagnetic Scattering and Analysis (21 papers) and Numerical methods for differential equations (14 papers). The work is most often cited by research in Numerical Analysis (450 citations), Computational Mathematics (28 citations) and Computational Theory and Mathematics (582 citations). Stefan Güttel has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent 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. Their work appears in journals such as Automatica, Geophysical Journal International and Pattern Recognition.
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.