V. G. Mazʹi︠a︡
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Applied Mathematics top 5%
- Mechanics of Materials top 10%
- Computational Mechanics
- Co-authors
- Б. А. ПламеневскийС. А. НазаровT. O. ShaposhnikovaSergei M Nikol'skiiJ. RoßmannPeter TakáčTatyana ShaposhnikovaMarius Mitrea
- Topics
- Differential Equations and Boundary Problems (3 papers)Advanced Mathematical Physics Problems (2 papers)Advanced Mathematical Modeling in Engineering (2 papers)
- Journals
- Birkhäuser-Verlag eBooksSpringer eBooksMedical Entomology and Zoology
In The Last Decade
V. G. Mazʹi︠a︡
9 papers receiving 315 citations
Peers
Comparison fields: 5 of 34
- Computational Theory and Mathematics 233
- Mathematical Physics 175
- Applied Mathematics 125
- Mechanics of Materials 110
- Computational Mechanics 59
Countries citing papers authored by V. G. Mazʹi︠a︡
This map shows the geographic impact of V. G. Mazʹi︠a︡'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 V. G. Mazʹi︠a︡ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. G. Mazʹi︠a︡ more than expected).
Fields of papers citing papers by V. G. Mazʹi︠a︡
This network shows the impact of papers produced by V. G. Mazʹi︠a︡. 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 V. G. Mazʹi︠a︡. The network helps show where V. G. Mazʹi︠a︡ may publish in the future.
Co-authorship network of co-authors of V. G. Mazʹi︠a︡
This figure shows the co-authorship network connecting the top 25 collaborators of V. G. Mazʹi︠a︡. A scholar is included among the top collaborators of V. G. Mazʹi︠a︡ 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 V. G. Mazʹi︠a︡. V. G. Mazʹi︠a︡ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Semi-bounded Differential Operators, Contractive Semigroups and Beyond | 6 |
| 2 | Sobolev type inequalities | 3 |
| 3 | Applications in analysis and partial differential equations | 1 |
| 4 | 2 | |
| 5 | Theory of Sobolev Multipliers: With Applications to Differential and Integral Operators | 48 |
| 6 | 256 | |
| 7 | On Maz'ya's work in functional analysis, partial differential equations and applications | 2 |
| 8 | Linear and boundary integral equations | 6 |
| 9 | Potential theory and function theory for irregular regions | 22 |
About V. G. Mazʹi︠a︡
V. G. Mazʹi︠a︡ is a scholar working on Mathematical Physics, Applied Mathematics and Numerical Analysis, having authored 9 papers that have together received 346 indexed citations. Recurring topics across this work include Differential Equations and Boundary Problems (3 papers), Advanced Mathematical Physics Problems (2 papers) and Advanced Mathematical Modeling in Engineering (2 papers). The work is most often cited by research in Mathematical Physics (175 citations), Computational Theory and Mathematics (233 citations) and Applied Mathematics (125 citations). Frequent co-authors include Б. А. Пламеневский, С. А. Назаров, T. O. Shaposhnikova, Sergei M Nikol'skii, J. Roßmann, Peter Takáč, Tatyana Shaposhnikova, Marius Mitrea and Vladimir Maz’ya. Their work appears in journals such as Birkhäuser-Verlag eBooks, Springer eBooks and Medical Entomology and Zoology.
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.