Paweł Pilarczyk
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals 8
- Homotopy and Cohomology in Algebraic Topology 4
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- Topological and Geometric Data Analysis 6
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- Quantum chaos and dynamical systems 7
- Chaos control and synchronization 3
- Geometry and Topology top 10%
- Geometric and Algebraic Topology 4
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- Theoretical and Computational Physics 2
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- Gene Regulatory Network Analysis 2
- Co-authors
- Konstantin MischaikowHiroshi KokubuEduardo LizMarian MrożekEugene ZhangGuoning ChenRobert S. LarameeWilliam D. Kalies
- Cited by
- Computer Graphics and Computer-Aided DesignMathematical PhysicsComputational Theory and Mathematics
- Journals
- PLoS ONE (1 paper)Journal of Theoretical Biology (1 paper)Chaos Solitons & Fractals (1 paper)
- Partner nations
- PolandUnited StatesPortugal
In The Last Decade
Paweł Pilarczyk
25 papers receiving 385 citations
Peers
Comparison fields: 5 of 71
- Computer Graphics and Computer-Aided Design 53
- Mathematical Physics 137
- Computational Theory and Mathematics 170
- Statistical and Nonlinear Physics 97
- Geometry and Topology 57
Countries citing papers authored by Paweł Pilarczyk
This map shows the geographic impact of Paweł Pilarczyk'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 Paweł Pilarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paweł Pilarczyk more than expected).
Fields of papers citing papers by Paweł Pilarczyk
This network shows the impact of papers produced by Paweł Pilarczyk. 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 Paweł Pilarczyk. The network helps show where Paweł Pilarczyk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paweł Pilarczyk, 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 | 2023 | 3 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 2 | |
| 6 | 2016 | 7 | |
| 7 | 2015 | 12 | |
| 8 | 2015 | 2 | |
| 9 | 2014 | 10 | |
| 10 | 2012 | 7 | |
| 11 | 2011 | 40 | |
| 12 | 2009 | 54 | |
| 13 | 2009 | 7 | |
| 14 | 2008 | 9 | |
| 15 | Introduction to CHomP Software | 2008 | 1 |
| 16 | 2007 | 28 | |
| 17 | 2007 | 91 | |
| 18 | 2003 | 10 | |
| 19 | 2003 | 17 | |
| 20 | 1999 | 17 |
About Paweł Pilarczyk
Paweł Pilarczyk is a scholar working on Mathematical Physics, Geometry and Topology and Statistical and Nonlinear Physics, having authored 26 papers that have together received 429 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (8 papers), Quantum chaos and dynamical systems (7 papers), Topological and Geometric Data Analysis (6 papers), Geometric and Algebraic Topology (4 papers), Homotopy and Cohomology in Algebraic Topology (4 papers), Chaos control and synchronization (3 papers), Theoretical and Computational Physics (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (53 citations), Mathematical Physics (137 citations) and Computational Theory and Mathematics (170 citations). Paweł Pilarczyk has collaborated with scholars based in Poland, United States and Portugal. Frequent co-authors include Konstantin Mischaikow, Hiroshi Kokubu, Eduardo Liz, Marian Mrożek, Eugene Zhang, Guoning Chen, Robert S. Laramee, William D. Kalies, Hiroe Oka and Marcio Gameiro. Their work appears in journals such as PLoS ONE, Journal of Theoretical Biology and Chaos Solitons & Fractals.
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.