Sławomir Rybicki
- Applied Mathematics top 2%
- Nonlinear Partial Differential Equations 16
- Geometric Analysis and Curvature Flows 11
- Nonlinear Differential Equations Analysis 9
- Geometry and Topology top 5%
- Advanced Differential Equations and Dynamical Systems 19
- Mathematical Physics top 5%
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- Quantum chaos and dynamical systems 13
- Nonlinear Waves and Solitons 9
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- Advanced Mathematical Modeling in Engineering 9
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- Stability and Controllability of Differential Equations 7
- Co-authors
- Norimichi HiranoE. N. DancerAndrzej J. MaciejewskiKazimierz GębaWiesław KrawcewiczZalman BalanovMarek IzydorekErnesto Pérez-Chavela
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Mathematical Analysis and Applications (2 papers)Journal of Differential Equations (9 papers)
In The Last Decade
Sławomir Rybicki
44 papers receiving 354 citations
Peers
Comparison fields: 5 of 31
- Applied Mathematics 213
- Geometry and Topology 174
- Mathematical Physics 123
- Statistical and Nonlinear Physics 159
- Numerical Analysis 30
Countries citing papers authored by Sławomir Rybicki
This map shows the geographic impact of Sławomir Rybicki'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 Sławomir Rybicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sławomir Rybicki more than expected).
Fields of papers citing papers by Sławomir Rybicki
This network shows the impact of papers produced by Sławomir Rybicki. 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 Sławomir Rybicki. The network helps show where Sławomir Rybicki may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Sławomir Rybicki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 0 | |
| 2 | 2018 | 1 | |
| 3 | 2017 | 8 | |
| 4 | 2015 | 3 | |
| 5 | 2012 | 8 | |
| 6 | 2011 | 3 | |
| 7 | 2008 | 8 | |
| 8 | 2007 | 2 | |
| 9 | 2006 | 4 | |
| 10 | 2005 | 16 | |
| 11 | 2005 | 3 | |
| 12 | 2005 | 30 | |
| 13 | 2005 | 13 | |
| 14 | 2004 | 8 | |
| 15 | 2003 | 28 | |
| 16 | 1998 | 8 | |
| 17 | 1998 | 2 | |
| 18 | 1996 | 4 | |
| 19 | 1994 | 2 | |
| 20 | 1992 | 1 |
About Sławomir Rybicki
Sławomir Rybicki is a scholar working on Geometry and Topology, Applied Mathematics and Mathematical Physics, having authored 48 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced Differential Equations and Dynamical Systems (19 papers), Nonlinear Partial Differential Equations (16 papers), Quantum chaos and dynamical systems (13 papers), Geometric Analysis and Curvature Flows (11 papers), Nonlinear Differential Equations Analysis (9 papers), Advanced Mathematical Modeling in Engineering (9 papers), Nonlinear Waves and Solitons (9 papers) and Stability and Controllability of Differential Equations (7 papers). The work is most often cited by research in Applied Mathematics (213 citations), Geometry and Topology (174 citations) and Mathematical Physics (123 citations). Sławomir Rybicki has collaborated with scholars based in Poland, Japan and Mexico. Frequent co-authors include Norimichi Hirano, E. N. Dancer, Andrzej J. Maciejewski, Kazimierz Gęba, Wiesław Krawcewicz, Zalman Balanov, Marek Izydorek, Ernesto Pérez-Chavela, Wacław Marzantowicz and Carlos Prieto. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.
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.