Eva Matoušková
- Computational Theory and Mathematics top 2%
- Geometry and Topology top 5%
- Mathematical Physics top 5%
- Numerical Analysis top 5%
- Applied Mathematics top 5%
- Co-authors
- Simeon ReichHeinz H. BauschkeR KönigováPavel VeselýL BrožCharles StegallJiřı́ MatoušekJoram Lindenstrauss
- Topics
- Advanced Banach Space Theory (14 papers)Optimization and Variational Analysis (10 papers)Wound Healing and Treatments (6 papers)
In The Last Decade
Eva Matoušková
31 papers receiving 419 citations
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 211
- Geometry and Topology 175
- Mathematical Physics 126
- Numerical Analysis 122
- Applied Mathematics 83
Countries citing papers authored by Eva Matoušková
This map shows the geographic impact of Eva Matoušková'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 Eva Matoušková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Matoušková more than expected).
Fields of papers citing papers by Eva Matoušková
This network shows the impact of papers produced by Eva Matoušková. 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 Eva Matoušková. The network helps show where Eva Matoušková may publish in the future.
Co-authorship network of co-authors of Eva Matoušková
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Matoušková. A scholar is included among the top collaborators of Eva Matoušková 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 Eva Matoušková. Eva Matoušková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A simple non-destructive test of cellular activity (NTCA) for in vitro assessment of cancer cell chemosensitivity/resistance. | 2 |
| 2 | 13 | |
| 3 | 14 | |
| 4 | Origin of cells cultured in vitro from human breast carcinomas traced by cyclin D1 and HER2/neu FISH signal numbers. | 2 |
| 5 | Assessment of in vitro drug resistance of human breast cancer cells subcultured from biopsy specimens. | 6 |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | Remarks on continuous images of Radon-Nikodým compacta | 4 |
| 15 | 13 | |
| 16 | 11 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | One counterexample concerning the Fréchet differentiability of convex functions on closed sets | 0 |
About Eva Matoušková
Eva Matoušková is a scholar working on Mathematical Physics, Geometry and Topology and Rehabilitation, having authored 34 papers that have together received 453 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (14 papers), Optimization and Variational Analysis (10 papers) and Wound Healing and Treatments (6 papers). The work is most often cited by research in Numerical Analysis (122 citations), Geometry and Topology (175 citations) and Mathematical Physics (126 citations). Eva Matoušková has collaborated with scholars based in Czechia, Austria and Israel. Frequent co-authors include Simeon Reich, Heinz H. Bauschke, R Königová, Pavel Veselý, L Brož, Charles Stegall, Jiřı́ Matoušek, Joram Lindenstrauss, David Preiss and Alexander J. Zaslavski. Their work appears in journals such as Virology, British Journal of Dermatology and Breast Cancer Research and Treatment.
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.