Nikolay Moshchevitin
- Mathematical Physics top 5%
- Geometry and Topology top 5%
- Discrete Mathematics and Combinatorics top 5%
- Algebra and Number Theory
- Applied Mathematics top 10%
- Co-authors
- А. М. РайгородскийИгорь Давидович КанYann BugeaudAnatoly ZhigljavskyВ. В. КозловSergeĭ KonyaginIlya D. ShkredovVassily Olegovich Manturov
- Topics
- Mathematical Dynamics and Fractals (32 papers)Analytic Number Theory Research (12 papers)advanced mathematical theories (8 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsBulletin of the London Mathematical SocietyChaos An Interdisciplinary Journal of Nonlinear Science
- Partner nations
- RussiaTajikistanAustria
In The Last Decade
Nikolay Moshchevitin
61 papers receiving 215 citations
Peers
Comparison fields: 5 of 29
- Mathematical Physics 138
- Geometry and Topology 78
- Discrete Mathematics and Combinatorics 57
- Algebra and Number Theory 57
- Applied Mathematics 55
Countries citing papers authored by Nikolay Moshchevitin
This map shows the geographic impact of Nikolay Moshchevitin'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 Nikolay Moshchevitin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolay Moshchevitin more than expected).
Fields of papers citing papers by Nikolay Moshchevitin
This network shows the impact of papers produced by Nikolay Moshchevitin. 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 Nikolay Moshchevitin. The network helps show where Nikolay Moshchevitin may publish in the future.
Co-authorship network of co-authors of Nikolay Moshchevitin
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay Moshchevitin. A scholar is included among the top collaborators of Nikolay Moshchevitin 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 Nikolay Moshchevitin. Nikolay Moshchevitin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 8 |
About Nikolay Moshchevitin
Nikolay Moshchevitin is a scholar working on Mathematical Physics, Theoretical Computer Science and Algebra and Number Theory, having authored 74 papers that have together received 279 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (32 papers), Analytic Number Theory Research (12 papers) and advanced mathematical theories (8 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (57 citations), Mathematical Physics (138 citations) and Algebra and Number Theory (57 citations). Nikolay Moshchevitin has collaborated with scholars based in Russia, Tajikistan and Austria. Frequent co-authors include А. М. Райгородский, Игорь Давидович Кан, Yann Bugeaud, Anatoly Zhigljavsky, В. В. Козлов, Sergeĭ Konyagin, Ilya D. Shkredov, Vassily Olegovich Manturov and Masanori Katsurada. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Bulletin of the London Mathematical Society and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.