Urs Kirchgraber
- Statistical and Nonlinear Physics top 5%
- Mathematical Physics top 10%
- Geometry and Topology top 5%
- Numerical Analysis top 10%
- Control and Systems Engineering
- Co-authors
- Kenneth J. PalmerEduard StiefelHans‐Otto WaltherChristopher K. R. T. JonesH. Scott DumasRoger BielawskiAlexander BlokhPeter Hagedorn
- Topics
- Quantum chaos and dynamical systems (9 papers)Advanced Differential Equations and Dynamical Systems (7 papers)Numerical methods for differential equations (5 papers)
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Urs Kirchgraber
31 papers receiving 289 citations
Peers
Comparison fields: 5 of 48
- Statistical and Nonlinear Physics 136
- Mathematical Physics 92
- Geometry and Topology 81
- Numerical Analysis 69
- Control and Systems Engineering 61
Countries citing papers authored by Urs Kirchgraber
This map shows the geographic impact of Urs Kirchgraber'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 Urs Kirchgraber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Kirchgraber more than expected).
Fields of papers citing papers by Urs Kirchgraber
This network shows the impact of papers produced by Urs Kirchgraber. 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 Urs Kirchgraber. The network helps show where Urs Kirchgraber may publish in the future.
Co-authorship network of co-authors of Urs Kirchgraber
This figure shows the co-authorship network connecting the top 25 collaborators of Urs Kirchgraber. A scholar is included among the top collaborators of Urs Kirchgraber 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 Urs Kirchgraber. Urs Kirchgraber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Zur Mathematiklehrpersonenausbildung fürs Gymnasium an der ETH Zürich; ; Jahresbericht der Deutschen Mathematiker-Vereinigung; | 2 |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 0 | |
| 6 | Geometry in the neighborhood of invariant manifolds of maps and flows and linearization | 52 |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 58 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Uniform treatment of canonical perturbation theories. | 2 |
About Urs Kirchgraber
Urs Kirchgraber is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Geometry and Topology, having authored 34 papers that have together received 326 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (9 papers), Advanced Differential Equations and Dynamical Systems (7 papers) and Numerical methods for differential equations (5 papers). The work is most often cited by research in Numerical Analysis (69 citations), Statistical and Nonlinear Physics (136 citations) and Mathematical Physics (92 citations). Urs Kirchgraber has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Kenneth J. Palmer, Eduard Stiefel, Hans‐Otto Walther, Christopher K. R. T. Jones, H. Scott Dumas, Roger Bielawski, Alexander Blokh, Peter Hagedorn, V. Szebehely and Gerald M. Fenichel. Their work appears in journals such as Journal of Mathematical Analysis and Applications, SIAM Review and Numerische Mathematik.
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.