Piotr Zgliczyński
- Statistical and Nonlinear Physics top 0.5%
- Mathematical Physics top 2%
- Geometry and Topology top 2%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Daniel WilczakMarian GideaZbigniew GaliasKonstantin MischaikowMarian MrożekGianni ArioliHiroshi KokubuMichał Misiurewicz
- Topics
- Quantum chaos and dynamical systems (38 papers)Mathematical Dynamics and Fractals (30 papers)Advanced Differential Equations and Dynamical Systems (17 papers)
- Journals
- Communications in Mathematical PhysicsPhysica D Nonlinear PhenomenaJournal of Differential Equations
- Partner nations
- PolandUnited StatesCzechia
In The Last Decade
Piotr Zgliczyński
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 54
- Statistical and Nonlinear Physics 832
- Mathematical Physics 489
- Geometry and Topology 306
- Computer Networks and Communications 245
- Computational Theory and Mathematics 204
Countries citing papers authored by Piotr Zgliczyński
This map shows the geographic impact of Piotr Zgliczyński'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 Piotr Zgliczyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Zgliczyński more than expected).
Fields of papers citing papers by Piotr Zgliczyński
This network shows the impact of papers produced by Piotr Zgliczyński. 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 Piotr Zgliczyński. The network helps show where Piotr Zgliczyński may publish in the future.
Co-authorship network of co-authors of Piotr Zgliczyński
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Zgliczyński. A scholar is included among the top collaborators of Piotr Zgliczyński 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 Piotr Zgliczyński. Piotr Zgliczyński 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | Rigorous numerics for dissipative PDEs III. An effective algorithm for rigorous integration of dissipative PDEs | 19 |
| 11 | 40 | |
| 12 | 11 | |
| 13 | 115 | |
| 14 | 30 | |
| 15 | 6 | |
| 16 | 81 | |
| 17 | 33 | |
| 18 | 3 | |
| 19 | 32 | |
| 20 | 5 |
About Piotr Zgliczyński
Piotr Zgliczyński is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Geometry and Topology, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (38 papers), Mathematical Dynamics and Fractals (30 papers) and Advanced Differential Equations and Dynamical Systems (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (832 citations), Mathematical Physics (489 citations) and Geometry and Topology (306 citations). Piotr Zgliczyński has collaborated with scholars based in Poland, United States and Czechia. Frequent co-authors include Daniel Wilczak, Marian Gidea, Zbigniew Galias, Konstantin Mischaikow, Marian Mrożek, Gianni Arioli, Hiroshi Kokubu, Michał Misiurewicz, Dmitry Turaev and Ming‐Chia Li. Their work appears in journals such as Communications in Mathematical Physics, Physica D Nonlinear Phenomena 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.