Mateusz Kwaśnicki
- Mathematical Physics top 5%
- Applied Mathematics top 5%
- Computational Theory and Mathematics top 5%
- Finance top 10%
- Modeling and Simulation top 5%
- Co-authors
- Krzysztof BogdanTadeusz KulczyckiAlexey KuznetsovBartłomiej DydaTakashi KumagaiJacek MałeckiBartłomiej SiudejaNikolay Kuznetsov
- Topics
- Stochastic processes and financial applications (10 papers)Advanced Mathematical Modeling in Engineering (9 papers)Stochastic processes and statistical mechanics (9 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsTransactions of the American Mathematical SocietyJournal of Functional Analysis
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Mateusz Kwaśnicki
27 papers receiving 343 citations
Peers
Comparison fields: 5 of 42
- Mathematical Physics 195
- Applied Mathematics 170
- Computational Theory and Mathematics 158
- Finance 79
- Modeling and Simulation 41
Countries citing papers authored by Mateusz Kwaśnicki
This map shows the geographic impact of Mateusz Kwaśnicki'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 Mateusz Kwaśnicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Kwaśnicki more than expected).
Fields of papers citing papers by Mateusz Kwaśnicki
This network shows the impact of papers produced by Mateusz Kwaśnicki. 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 Mateusz Kwaśnicki. The network helps show where Mateusz Kwaśnicki may publish in the future.
Co-authorship network of co-authors of Mateusz Kwaśnicki
This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Kwaśnicki. A scholar is included among the top collaborators of Mateusz Kwaśnicki 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 Mateusz Kwaśnicki. Mateusz Kwaśnicki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | Characterisation of the class of bell-shaped functions | 6 |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 41 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 31 | |
| 14 | 6 | |
| 15 | 16 | |
| 16 | 3 | |
| 17 | 5 | |
| 18 | 71 | |
| 19 | Boundary Harnack inequality for α-harmonic functions on the Sierpiński triangle | 2 |
| 20 | 51 |
About Mateusz Kwaśnicki
Mateusz Kwaśnicki is a scholar working on Mathematical Physics, Applied Mathematics and Finance, having authored 29 papers that have together received 360 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Stochastic processes and statistical mechanics (9 papers). The work is most often cited by research in Mathematical Physics (195 citations), Applied Mathematics (170 citations) and Computational Theory and Mathematics (158 citations). Mateusz Kwaśnicki has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Krzysztof Bogdan, Tadeusz Kulczycki, Alexey Kuznetsov, Bartłomiej Dyda, Takashi Kumagai, Jacek Małecki, Bartłomiej Siudeja, Nikolay Kuznetsov, Alexander I. Nazarov and Iosif Polterovich. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Journal of Functional 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.