Yu. N. Subbotin
- Numerical Analysis top 5%
- Applied Mathematics top 5%
- Computational Mechanics top 10%
- Computational Theory and Mathematics
- Mathematical Physics
- Co-authors
- В. В. АрестовVasilii S VladimirovВ. Н. УшаковA. G. Chent︠s︡ovSergei M Nikol'skiiВ. В. ВасинАрлен Михайлович ИльинS P Novikov
- Topics
- Mathematical Approximation and Integration (13 papers)Advanced Numerical Analysis Techniques (10 papers)Advanced Computational Techniques in Science and Engineering (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaRussian Mathematical SurveysSbornik Mathematics
In The Last Decade
Yu. N. Subbotin
41 papers receiving 172 citations
Peers
Comparison fields: 5 of 39
- Numerical Analysis 93
- Applied Mathematics 84
- Computational Mechanics 66
- Computational Theory and Mathematics 30
- Mathematical Physics 22
Countries citing papers authored by Yu. N. Subbotin
This map shows the geographic impact of Yu. N. Subbotin'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 Yu. N. Subbotin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. N. Subbotin more than expected).
Fields of papers citing papers by Yu. N. Subbotin
This network shows the impact of papers produced by Yu. N. Subbotin. 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 Yu. N. Subbotin. The network helps show where Yu. N. Subbotin may publish in the future.
Co-authorship network of co-authors of Yu. N. Subbotin
This figure shows the co-authorship network connecting the top 25 collaborators of Yu. N. Subbotin. A scholar is included among the top collaborators of Yu. N. Subbotin 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 Yu. N. Subbotin. Yu. N. Subbotin 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | Exposition of the lectures by S.B. Stechkin on approximation theory | 2 |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | Inheritance of monotonicity and convexity in local approximations | 4 |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 8 |
About Yu. N. Subbotin
Yu. N. Subbotin is a scholar working on Numerical Analysis, Applied Mathematics and Theoretical Computer Science, having authored 58 papers that have together received 221 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (13 papers), Advanced Numerical Analysis Techniques (10 papers) and Advanced Computational Techniques in Science and Engineering (7 papers). The work is most often cited by research in Numerical Analysis (93 citations), Applied Mathematics (84 citations) and Computational Mechanics (66 citations). Yu. N. Subbotin has collaborated with scholars based in Russia and Czechia. Frequent co-authors include В. В. Арестов, Vasilii S Vladimirov, В. Н. Ушаков, A. G. Chent︠s︡ov, Sergei M Nikol'skii, В. В. Васин, Арлен Михайлович Ильин, S P Novikov, Alexander B. Kurzhanski and A A Gonchar. Their work appears in journals such as SHILAP Revista de lepidopterología, Russian Mathematical Surveys and Sbornik 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.