Ivan Kyrchei
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
- Applied Mathematics top 1%
- Algebraic and Geometric Analysis
Papers in
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- Matrix Theory and Algorithms 44
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- Algebraic and Geometric Analysis 35
- Co-authors
- Dijana Mosić (10 shared papers)Predrag S. Stanimirović (10 shared papers)Abdur Rehman (9 shared papers)Abdul Shakoor (4 shared papers)Haifeng Ma (1 shared paper)Cecília Castro (1 shared paper)Eran Treister (1 shared paper)Víctor Leiva (1 shared paper)
In The Last Decade
Ivan Kyrchei
47 papers receiving 861 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 37
- Applied Mathematics 559
- Computational Theory and Mathematics 763
- Numerical Analysis 187
- Algebra and Number Theory 128
Countries citing papers authored by Ivan Kyrchei
This map shows the geographic impact of Ivan Kyrchei'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 Ivan Kyrchei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Kyrchei more than expected).
Fields of papers citing papers by Ivan Kyrchei
This network shows the impact of papers produced by Ivan Kyrchei. 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 Ivan Kyrchei. The network helps show where Ivan Kyrchei may publish in the future.
Co-authors
The 12 scholars most cited alongside Ivan Kyrchei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 69 | |
| 2 | 2008 | 54 | |
| 3 | 2011 | 50 | |
| 4 | 2018 | 49 | |
| 5 | 2014 | 46 | |
| 6 | 2018 | 41 | |
| 7 | 2010 | 38 | |
| 8 | 2019 | 36 | |
| 9 | 2008 | 32 | |
| 10 | 2015 | 32 | |
| 11 | 2019 | 31 | |
| 12 | 2017 | 30 | |
| 13 | 2013 | 28 | |
| 14 | 2019 | 26 | |
| 15 | 2011 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2017 | 23 | |
| 18 | 2016 | 20 | |
| 19 | 2019 | 20 | |
| 20 | 2011 | 20 |
About Ivan Kyrchei
Ivan Kyrchei is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Statistical and Nonlinear Physics, Geometry and Topology and Numerical Analysis, having authored 51 papers that have together received 884 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (44 papers), Algebraic and Geometric Analysis (35 papers), Mathematics and Applications (16 papers), Advanced Mathematical Theories and Applications (15 papers), Advanced Optimization Algorithms Research (9 papers), Advanced Topics in Algebra (6 papers), Electromagnetic Scattering and Analysis (3 papers) and Scientific Research and Discoveries (3 papers). The work is most often cited by research in Computational Mathematics (37 citations), Applied Mathematics (559 citations), Computational Theory and Mathematics (763 citations), Numerical Analysis (187 citations) and Algebra and Number Theory (128 citations). Ivan Kyrchei has collaborated with scholars based in Ukraine, Serbia and Pakistan. Frequent co-authors include Dijana Mosić, Predrag S. Stanimirović, Abdur Rehman, Abdul Shakoor, Haifeng Ma, Cecília Castro, Eran Treister, Víctor Leiva, Jinyun Yuan and Masoud Hajarian. Their work appears in journals such as Applied Mathematics and Computation, Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas, Abstract and Applied Analysis, Advances in Applied Clifford Algebras and Discrete 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.