Vladimir Kadets
- Mathematical Physics top 1%
- Applied Mathematics top 1%
- Statistics and Probability top 1%
- Geometry and Topology top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Dirk WernerMiguel Martı́nB. CascalesJeff ConnorJosé RodríguezN. J. KaltonM. M. PopovRafael Payá
- Topics
- Advanced Banach Space Theory (66 papers)Approximation Theory and Sequence Spaces (32 papers)Holomorphic and Operator Theory (20 papers)
- Journals
- Lecture notes in mathematicsJournal of Mathematical Analysis and ApplicationsTransactions of the American Mathematical Society
- Partner nations
- UkraineSpainUnited States
In The Last Decade
Vladimir Kadets
68 papers receiving 708 citations
Peers
Comparison fields: 5 of 32
- Mathematical Physics 647
- Applied Mathematics 430
- Statistics and Probability 358
- Geometry and Topology 203
- Computational Theory and Mathematics 169
Countries citing papers authored by Vladimir Kadets
This map shows the geographic impact of Vladimir Kadets'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 Vladimir Kadets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Kadets more than expected).
Fields of papers citing papers by Vladimir Kadets
This network shows the impact of papers produced by Vladimir Kadets. 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 Vladimir Kadets. The network helps show where Vladimir Kadets may publish in the future.
Co-authorship network of co-authors of Vladimir Kadets
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Kadets. A scholar is included among the top collaborators of Vladimir Kadets 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 Vladimir Kadets. Vladimir Kadets 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 | 2 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | Convexity around the Unit of a Banach Algebra | 2 |
| 13 | 5 | |
| 14 | 21 | |
| 15 | 18 | |
| 16 | 4 | |
| 17 | 78 | |
| 18 | THREE SPACES PROBLEM FOR LYAPUNOV THEOREM ON VECTOR MEASURE | 1 |
| 19 | 18 | |
| 20 | 1 |
About Vladimir Kadets
Vladimir Kadets is a scholar working on Mathematical Physics, Statistics and Probability and Applied Mathematics, having authored 77 papers that have together received 794 indexed citations. Recurring topics across this work include Advanced Banach Space Theory (66 papers), Approximation Theory and Sequence Spaces (32 papers) and Holomorphic and Operator Theory (20 papers). The work is most often cited by research in Mathematical Physics (647 citations), Statistics and Probability (358 citations) and Applied Mathematics (430 citations). Vladimir Kadets has collaborated with scholars based in Ukraine, Spain and United States. Frequent co-authors include Dirk Werner, Miguel Martı́n, B. Cascales, Jeff Connor, José Rodríguez, N. J. Kalton, M. M. Popov, Rafael Payá, Cihan Orhan and Ehrhard Behrends. Their work appears in journals such as Lecture notes in mathematics, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.
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.