Anna Zatorska‐Goldstein
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 5%
- Mathematical Physics top 5%
- Geometry and Topology
- Control and Systems Engineering
- Co-authors
- Piotr GwiazdaGiuseppe MingioneXiao ZhongIwona ChlebickaPaweł StrzeleckiVerena BögeleinJens HabermannAngela Alberico
- Topics
- Nonlinear Partial Differential Equations (21 papers)Advanced Mathematical Modeling in Engineering (18 papers)Advanced Mathematical Physics Problems (8 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsJournal of Differential EquationsAdvances in Mathematics
- Partner nations
- PolandItalySouth Korea
In The Last Decade
Anna Zatorska‐Goldstein
24 papers receiving 222 citations
Peers
Comparison fields: 5 of 20
- Applied Mathematics 219
- Computational Theory and Mathematics 176
- Mathematical Physics 120
- Geometry and Topology 13
- Control and Systems Engineering 9
Countries citing papers authored by Anna Zatorska‐Goldstein
This map shows the geographic impact of Anna Zatorska‐Goldstein'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 Anna Zatorska‐Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Zatorska‐Goldstein more than expected).
Fields of papers citing papers by Anna Zatorska‐Goldstein
This network shows the impact of papers produced by Anna Zatorska‐Goldstein. 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 Anna Zatorska‐Goldstein. The network helps show where Anna Zatorska‐Goldstein may publish in the future.
Co-authorship network of co-authors of Anna Zatorska‐Goldstein
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Zatorska‐Goldstein. A scholar is included among the top collaborators of Anna Zatorska‐Goldstein 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 Anna Zatorska‐Goldstein. Anna Zatorska‐Goldstein 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 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 0 | |
| 11 | 44 | |
| 12 | 58 | |
| 13 | 12 | |
| 14 | On the Regularity of p-Harmonic Functions in the Heisenberg Group | 1 |
| 15 | 5 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | 1 | |
| 20 | 2 |
About Anna Zatorska‐Goldstein
Anna Zatorska‐Goldstein is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 26 papers that have together received 238 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (21 papers), Advanced Mathematical Modeling in Engineering (18 papers) and Advanced Mathematical Physics Problems (8 papers). The work is most often cited by research in Applied Mathematics (219 citations), Mathematical Physics (120 citations) and Computational Theory and Mathematics (176 citations). Anna Zatorska‐Goldstein has collaborated with scholars based in Poland, Italy and South Korea. Frequent co-authors include Piotr Gwiazda, Giuseppe Mingione, Xiao Zhong, Iwona Chlebicka, Paweł Strzelecki, Verena Bögelein, Jens Habermann, Angela Alberico, Andrea Cianchi and Flavia Giannetti. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Advances in Mathematics.
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.