Andrii Dmytryshyn
- Computational Mathematics top 2%
- Tensor decomposition and applications 9
- Algebra and Number Theory top 10%
- Advanced Topics in Algebra 21
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- Matrix Theory and Algorithms 27
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research 4
- Numerical methods for differential equations 3
- Geometry and Topology top 5%
- Algebraic structures and combinatorial models 5
- Mathematics and Applications 4
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- Algebraic and Geometric Analysis 3
- Co-authors
- Bo KågströmVladimir V. SergeichukVyacheslav FutornyFroilán M. DopicoStefan JohanssonQing‐Wen WangPaul Van DoorenFernando De Terán
In The Last Decade
Andrii Dmytryshyn
28 papers receiving 300 citations
Peers
Comparison fields: 5 of 26
- Computational Mathematics 53
- Algebra and Number Theory 150
- Computational Theory and Mathematics 258
- Numerical Analysis 76
- Geometry and Topology 100
Countries citing papers authored by Andrii Dmytryshyn
This map shows the geographic impact of Andrii Dmytryshyn'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 Andrii Dmytryshyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrii Dmytryshyn more than expected).
Fields of papers citing papers by Andrii Dmytryshyn
This network shows the impact of papers produced by Andrii Dmytryshyn. 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 Andrii Dmytryshyn. The network helps show where Andrii Dmytryshyn may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Andrii Dmytryshyn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 1 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 2 | |
| 8 | 2018 | 5 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 8 | |
| 11 | 2017 | 23 | |
| 12 | 2017 | 7 | |
| 13 | 2016 | 7 | |
| 14 | 2016 | 2 | |
| 15 | Skew-symmetric matrix pencils : stratification theory and tools | 2014 | 2 |
| 16 | 2014 | 16 | |
| 17 | 2014 | 20 | |
| 18 | 2014 | 16 | |
| 19 | 2013 | 18 | |
| 20 | 2012 | 23 |
About Andrii Dmytryshyn
Andrii Dmytryshyn is a scholar working on Computational Mathematics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 33 papers that have together received 312 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (27 papers), Advanced Topics in Algebra (21 papers), Tensor decomposition and applications (9 papers), Algebraic structures and combinatorial models (5 papers), Mathematics and Applications (4 papers), Advanced Optimization Algorithms Research (4 papers), Numerical methods for differential equations (3 papers) and Algebraic and Geometric Analysis (3 papers). The work is most often cited by research in Computational Mathematics (53 citations), Algebra and Number Theory (150 citations) and Computational Theory and Mathematics (258 citations). Andrii Dmytryshyn has collaborated with scholars based in Sweden, Ukraine and Spain. Frequent co-authors include Bo Kågström, Vladimir V. Sergeichuk, Vyacheslav Futorny, Froilán M. Dopico, Stefan Johansson, Qing‐Wen Wang, Paul Van Dooren, Fernando De Terán, Zhuo‐Heng He and Carlos M. da Fonseca. Their work appears in journals such as Applied Mathematics and Computation, Linear Algebra and its Applications and SIAM Journal on Matrix Analysis and Applications.
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.