Filip Rindler
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Mechanics of Materials
- Geometry and Topology top 10%
- Co-authors
- Jan KristensenGuido De PhilippisEmil WiedemannJean‐François BabadjianAlexander MielkeFlaviana IurlanoSebastian SchwarzacherEndre Süli
- Topics
- Advanced Mathematical Modeling in Engineering (11 papers)Elasticity and Material Modeling (7 papers)Nonlinear Partial Differential Equations (7 papers)
- Journals
- SIAM Journal on Numerical AnalysisCommunications on Pure and Applied MathematicsTransactions of the American Mathematical Society
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Filip Rindler
27 papers receiving 353 citations
Peers
Comparison fields: 5 of 45
- Applied Mathematics 229
- Computational Theory and Mathematics 210
- Mathematical Physics 145
- Mechanics of Materials 83
- Geometry and Topology 58
Countries citing papers authored by Filip Rindler
This map shows the geographic impact of Filip Rindler'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 Filip Rindler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filip Rindler more than expected).
Fields of papers citing papers by Filip Rindler
This network shows the impact of papers produced by Filip Rindler. 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 Filip Rindler. The network helps show where Filip Rindler may publish in the future.
Co-authorship network of co-authors of Filip Rindler
This figure shows the co-authorship network connecting the top 25 collaborators of Filip Rindler. A scholar is included among the top collaborators of Filip Rindler 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 Filip Rindler. Filip Rindler 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 17 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | Regularity and approximation of strong solutions to rate-independent\n systems | 4 |
| 12 | 6 | |
| 13 | 56 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | CHARACTERIZATION OF YOUNG MEASURES GENERATED BY SEQUENCES IN BV AN BD | 1 |
| 18 | 15 | |
| 19 | 52 | |
| 20 | 41 |
About Filip Rindler
Filip Rindler is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 30 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (11 papers), Elasticity and Material Modeling (7 papers) and Nonlinear Partial Differential Equations (7 papers). The work is most often cited by research in Applied Mathematics (229 citations), Mathematical Physics (145 citations) and Computational Theory and Mathematics (210 citations). Filip Rindler has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Jan Kristensen, Guido De Philippis, Emil Wiedemann, Jean‐François Babadjian, Alexander Mielke, Flaviana Iurlano, Sebastian Schwarzacher, Endre Süli and Andrea Pinamonti. Their work appears in journals such as SIAM Journal on Numerical Analysis, Communications on Pure and Applied Mathematics and Transactions of the American Mathematical Society.
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.