Mikhail Ivanovich Dyachenko
- Applied Mathematics top 2%
- Statistics and Probability top 5%
- Numerical Analysis top 5%
- Mathematical Physics top 10%
- Computational Theory and Mathematics
- Topics
- Advanced Harmonic Analysis Research (38 papers)Approximation Theory and Sequence Spaces (26 papers)Differential Equations and Boundary Problems (21 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsTransactions of the American Mathematical SocietyJournal of Functional Analysis
- Partner nations
- RussiaSpainKazakhstan
In The Last Decade
Mikhail Ivanovich Dyachenko
51 papers receiving 260 citations
Peers
Comparison fields: 5 of 21
- Applied Mathematics 276
- Statistics and Probability 121
- Numerical Analysis 104
- Mathematical Physics 98
- Computational Theory and Mathematics 17
Countries citing papers authored by Mikhail Ivanovich Dyachenko
This map shows the geographic impact of Mikhail Ivanovich Dyachenko'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 Mikhail Ivanovich Dyachenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Ivanovich Dyachenko more than expected).
Fields of papers citing papers by Mikhail Ivanovich Dyachenko
This network shows the impact of papers produced by Mikhail Ivanovich Dyachenko. 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 Mikhail Ivanovich Dyachenko. The network helps show where Mikhail Ivanovich Dyachenko may publish in the future.
Co-authorship network of co-authors of Mikhail Ivanovich Dyachenko
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Ivanovich Dyachenko. A scholar is included among the top collaborators of Mikhail Ivanovich Dyachenko 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 Mikhail Ivanovich Dyachenko. Mikhail Ivanovich Dyachenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | Trigonometric series with lacunary-monotone coefficients | 1 |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 21 | |
| 15 | 21 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 15 |
About Mikhail Ivanovich Dyachenko
Mikhail Ivanovich Dyachenko is a scholar working on Applied Mathematics, Numerical Analysis and Statistics and Probability, having authored 59 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Harmonic Analysis Research (38 papers), Approximation Theory and Sequence Spaces (26 papers) and Differential Equations and Boundary Problems (21 papers). The work is most often cited by research in Applied Mathematics (276 citations), Numerical Analysis (104 citations) and Statistics and Probability (121 citations). Mikhail Ivanovich Dyachenko has collaborated with scholars based in Russia, Spain and Kazakhstan. Frequent co-authors include Sergey Tikhonov, Ерлан Нурсултанов, Daniel Waterman, Elijah Liflyand and Ferenc Weisz. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Journal of Functional Analysis.
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.