L. R. Volevich
- Applied Mathematics top 5%
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 10%
- Control and Systems Engineering
- Co-authors
- Simon GindikinRobert DenkArmen ShirikyanReinhard MennickenR. MennickenВ А КондратьевA. N. BelozerskyE. M. Landis
- Topics
- Differential Equations and Boundary Problems (17 papers)Advanced Mathematical Modeling in Engineering (16 papers)Differential Equations and Numerical Methods (9 papers)
- Journals
- Russian Mathematical SurveysDiscrete and Continuous Dynamical SystemsMathematische Nachrichten
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
L. R. Volevich
28 papers receiving 192 citations
Peers
Comparison fields: 5 of 32
- Applied Mathematics 192
- Mathematical Physics 125
- Computational Theory and Mathematics 123
- Numerical Analysis 69
- Control and Systems Engineering 43
Countries citing papers authored by L. R. Volevich
This map shows the geographic impact of L. R. Volevich'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 L. R. Volevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. R. Volevich more than expected).
Fields of papers citing papers by L. R. Volevich
This network shows the impact of papers produced by L. R. Volevich. 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 L. R. Volevich. The network helps show where L. R. Volevich may publish in the future.
Co-authorship network of co-authors of L. R. Volevich
This figure shows the co-authorship network connecting the top 25 collaborators of L. R. Volevich. A scholar is included among the top collaborators of L. R. Volevich 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 L. R. Volevich. L. R. Volevich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | Stable and unstable manifolds for nonlinear elliptic equations with parameter | 5 |
| 11 | Remarks on Strongly Hyperbolic Matrices. | 2 |
| 12 | 19 | |
| 13 | Remarks on Calder'on Projections for Elliptic Equations with Parameter. | 1 |
| 14 | 1 | |
| 15 | 25 | |
| 16 | Distributions and convolution equations | 17 |
| 17 | 46 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | 4 |
About L. R. Volevich
L. R. Volevich is a scholar working on Applied Mathematics, Numerical Analysis and Mathematical Physics, having authored 34 papers that have together received 269 indexed citations. Recurring topics across this work include Differential Equations and Boundary Problems (17 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Differential Equations and Numerical Methods (9 papers). The work is most often cited by research in Applied Mathematics (192 citations), Mathematical Physics (125 citations) and Numerical Analysis (69 citations). L. R. Volevich has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Simon Gindikin, Robert Denk, Armen Shirikyan, Reinhard Mennicken, R. Mennicken, В А Кондратьев, A. N. Belozersky, E. M. Landis, Е. В. Радкевич and A. S. Kalashnikov. Their work appears in journals such as Russian Mathematical Surveys, Discrete and Continuous Dynamical Systems and Mathematische Nachrichten.
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.