Tobias Damm
- Control and Systems Engineering top 2%
- Statistical and Nonlinear Physics top 2%
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 2%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Peter BennerTobias BreitenElias JarlebringD. HinrichsenMarleen StielerKarl WorthmannLars GrüneWim Michiels
- Topics
- Model Reduction and Neural Networks (19 papers)Numerical methods for differential equations (14 papers)Matrix Theory and Algorithms (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlAutomatica
In The Last Decade
Tobias Damm
40 papers receiving 817 citations
Peers
Comparison fields: 5 of 71
- Control and Systems Engineering 432
- Statistical and Nonlinear Physics 430
- Numerical Analysis 249
- Computational Theory and Mathematics 225
- Statistics, Probability and Uncertainty 129
Countries citing papers authored by Tobias Damm
This map shows the geographic impact of Tobias Damm'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 Damm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Damm more than expected).
Fields of papers citing papers by Tobias Damm
This network shows the impact of papers produced by Tobias Damm. 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 Damm. The network helps show where Tobias Damm may publish in the future.
Co-authorship network of co-authors of Tobias Damm
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Damm. A scholar is included among the top collaborators of Tobias Damm 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 Damm. Tobias Damm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | Balanced Truncation for Stochastic Linear Systems with Guaranteed Error Bound | 9 |
| 9 | Euclidean Norm Optimal Realization Revisited | 0 |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 65 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 110 | |
| 17 | 1 | |
| 18 | 27 | |
| 19 | 24 | |
| 20 | 49 |
About Tobias Damm
Tobias Damm is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 46 papers that have together received 890 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (19 papers), Numerical methods for differential equations (14 papers) and Matrix Theory and Algorithms (14 papers). The work is most often cited by research in Numerical Analysis (249 citations), Computational Mathematics (25 citations) and Statistical and Nonlinear Physics (430 citations). Tobias Damm has collaborated with scholars based in Germany, Sweden and Romania. Frequent co-authors include Peter Benner, Tobias Breiten, Elias Jarlebring, D. Hinrichsen, Marleen Stieler, Karl Worthmann, Lars Grüne, Wim Michiels, Vasile Drǎgan and Gerhard Freiling. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.
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.