Klas Modin
Impact in
- Numerical Analysis top 10%
- Numerical methods for differential equations
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- Nonlinear Waves and Solitons
- Model Reduction and Neural Networks
- Quantum chaos and dynamical systems
Papers in
-
- Nonlinear Waves and Solitons 9
- Model Reduction and Neural Networks 7
- Quantum chaos and dynamical systems 3
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- Numerical methods for differential equations 16
- Co-authors
- Robert I. McLachlan (14 shared papers)Gustaf Söderlind (1 shared paper)Johan Hellsvik (1 shared paper)Anders Bergman (1 shared paper)Diana Iuşan (1 shared paper)Lars Bergqvist (1 shared paper)Danny Thonig (1 shared paper)Olle Eriksson (1 shared paper)
- Journals
- IMA Journal of Numerical Analysis (2 papers)Communications in Mathematical Physics (2 papers)Nonlinearity (2 papers)Journal of Computational Physics (1 paper)Archive for Rational Mechanics and Analysis (1 paper)
- Partner nations
- SwedenNew ZealandItaly
In The Last Decade
Klas Modin
36 papers receiving 246 citations
Peers
Comparison fields: 5 of 44
- Numerical Analysis 72
- Statistical and Nonlinear Physics 71
- Geometry and Topology 28
- Applied Mathematics 33
- Condensed Matter Physics 37
Countries citing papers authored by Klas Modin
This map shows the geographic impact of Klas Modin'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 Klas Modin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klas Modin more than expected).
Fields of papers citing papers by Klas Modin
This network shows the impact of papers produced by Klas Modin. 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 Klas Modin. The network helps show where Klas Modin may publish in the future.
Co-authors
The 22 scholars most cited alongside Klas Modin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2011 | 20 | |
| 3 | 2013 | 16 | |
| 4 | 2021 | 15 | |
| 5 | 2011 | 14 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2014 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2006 | 6 | |
| 17 | 2024 | 3 | |
| 18 | 2013 | 3 | |
| 19 | 2008 | 2 | |
| 20 | 2016 | 2 |
About Klas Modin
Klas Modin is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Applied Mathematics, Geometry and Topology and Computational Mechanics, having authored 41 papers that have together received 259 indexed citations. Recurring topics across this work include Numerical methods for differential equations (16 papers), Geometric Analysis and Curvature Flows (11 papers), Nonlinear Waves and Solitons (9 papers), Geometry and complex manifolds (7 papers), Model Reduction and Neural Networks (7 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Advanced Topics in Algebra (3 papers) and Quantum chaos and dynamical systems (3 papers). The work is most often cited by research in Numerical Analysis (72 citations), Statistical and Nonlinear Physics (71 citations), Geometry and Topology (28 citations), Applied Mathematics (33 citations) and Condensed Matter Physics (37 citations). Klas Modin has collaborated with scholars based in Sweden, New Zealand and Italy. Frequent co-authors include Robert I. McLachlan, Gustaf Söderlind, Johan Hellsvik, Anders Bergman, Diana Iuşan, Lars Bergqvist, Danny Thonig, Olle Eriksson, Anna Delin and Stephen Marsland. Their work appears in journals such as IMA Journal of Numerical Analysis, Communications in Mathematical Physics, Nonlinearity, Journal of Computational Physics and Archive for Rational Mechanics and Analysis.
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.