Tobias Breiten
- Statistical and Nonlinear Physics top 2%
- Numerical Analysis top 2%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Computational Mechanics top 10%
- Co-authors
- Peter BennerTobias DammKarl KunischMartin StollValeria SimonciniBenjamin UngerChristopher BeattieSerkan Gugercin
- Topics
- Model Reduction and Neural Networks (23 papers)Numerical methods for differential equations (13 papers)Stability and Controllability of Differential Equations (10 papers)
In The Last Decade
Tobias Breiten
29 papers receiving 572 citations
Peers
Comparison fields: 5 of 44
- Statistical and Nonlinear Physics 430
- Numerical Analysis 237
- Control and Systems Engineering 201
- Computational Theory and Mathematics 152
- Computational Mechanics 141
Countries citing papers authored by Tobias Breiten
This map shows the geographic impact of Tobias Breiten'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 Tobias Breiten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Breiten more than expected).
Fields of papers citing papers by Tobias Breiten
This network shows the impact of papers produced by Tobias Breiten. 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 Tobias Breiten. The network helps show where Tobias Breiten may publish in the future.
Co-authorship network of co-authors of Tobias Breiten
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Breiten. A scholar is included among the top collaborators of Tobias Breiten 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 Tobias Breiten. Tobias Breiten 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 16 | |
| 13 | 78 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | Fast iterative solvers for fractional dierential equations | 4 |
| 17 | 7 | |
| 18 | 88 | |
| 19 | On optimality of interpolation-based low-rank approximations of large-scale matrix equations | 6 |
| 20 | 22 |
About Tobias Breiten
Tobias Breiten is a scholar working on Computational Mathematics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 37 papers that have together received 615 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (23 papers), Numerical methods for differential equations (13 papers) and Stability and Controllability of Differential Equations (10 papers). The work is most often cited by research in Computational Mathematics (48 citations), Numerical Analysis (237 citations) and Statistical and Nonlinear Physics (430 citations). Tobias Breiten has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Peter Benner, Tobias Damm, Karl Kunisch, Martin Stoll, Valeria Simoncini, Benjamin Unger, Christopher Beattie, Serkan Gugercin, Carsten Hartmann and Ulrike Baur. Their work appears in journals such as Automatica, Systems & Control Letters and SIAM Journal on Scientific Computing.
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.