B. Zubik–Kowal
- Numerical Analysis top 2%
- Modeling and Simulation top 1%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 10%
- Computational Mechanics
- Co-authors
- Z. JackiewiczMikhail KolevStefan VandewalleSergiusz NawrockiCheryl L. JorcykJodi MeadPenny J. DaviesFrank C. Hoppensteadt
- Topics
- Numerical methods for differential equations (17 papers)Mathematical Biology Tumor Growth (15 papers)Differential Equations and Numerical Methods (8 papers)
- Journals
- IEEE Transactions on Antennas and PropagationJournal of Mathematical Analysis and ApplicationsApplied Mathematics and Computation
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
B. Zubik–Kowal
34 papers receiving 411 citations
Peers
Comparison fields: 5 of 56
- Numerical Analysis 260
- Modeling and Simulation 238
- Computational Theory and Mathematics 80
- Applied Mathematics 57
- Computational Mechanics 56
Countries citing papers authored by B. Zubik–Kowal
This map shows the geographic impact of B. Zubik–Kowal'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 B. Zubik–Kowal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Zubik–Kowal more than expected).
Fields of papers citing papers by B. Zubik–Kowal
This network shows the impact of papers produced by B. Zubik–Kowal. 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 B. Zubik–Kowal. The network helps show where B. Zubik–Kowal may publish in the future.
Co-authorship network of co-authors of B. Zubik–Kowal
This figure shows the co-authorship network connecting the top 25 collaborators of B. Zubik–Kowal. A scholar is included among the top collaborators of B. Zubik–Kowal 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 B. Zubik–Kowal. B. Zubik–Kowal 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 | 3 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | Numerical experiments with model equations of cancer invasion of tissue | 1 |
| 7 | 29 | |
| 8 | 25 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 36 | |
| 19 | 25 | |
| 20 | 3 |
About B. Zubik–Kowal
B. Zubik–Kowal is a scholar working on Modeling and Simulation, Numerical Analysis and Biophysics, having authored 36 papers that have together received 436 indexed citations. Recurring topics across this work include Numerical methods for differential equations (17 papers), Mathematical Biology Tumor Growth (15 papers) and Differential Equations and Numerical Methods (8 papers). The work is most often cited by research in Modeling and Simulation (238 citations), Numerical Analysis (260 citations) and Applied Mathematics (57 citations). B. Zubik–Kowal has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Z. Jackiewicz, Mikhail Kolev, Stefan Vandewalle, Sergiusz Nawrocki, Cheryl L. Jorcyk, Jodi Mead, Penny J. Davies, Frank C. Hoppensteadt, Britta Basse and Kamil Drucis. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.