Vladimir Scheffer
Impact in
- Applied Mathematics top 0.5%
- Navier-Stokes equation solutions
- Nonlinear Partial Differential Equations
- Geometric Analysis and Curvature Flows
- Mathematical Physics top 2%
- Advanced Mathematical Physics Problems
Papers in
-
- Navier-Stokes equation solutions 7
- Nonlinear Partial Differential Equations 2
-
- Advanced Mathematical Physics Problems 3
- Mathematical Dynamics and Fractals 2
- Journals
- Communications in Mathematical Physics (6 papers)Pacific Journal of Mathematics (1 paper)Journal of Geometric Analysis (1 paper)Xerox University Microfilms eBooks (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Vladimir Scheffer
11 papers receiving 903 citations
Peers
Comparison fields: 5 of 66
- Applied Mathematics 721
- Mathematical Physics 552
- Statistical and Nonlinear Physics 169
- Computational Mechanics 240
- Control and Systems Engineering 264
Countries citing papers authored by Vladimir Scheffer
This map shows the geographic impact of Vladimir Scheffer'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 Vladimir Scheffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Scheffer more than expected).
Fields of papers citing papers by Vladimir Scheffer
This network shows the impact of papers produced by Vladimir Scheffer. 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 Vladimir Scheffer. The network helps show where Vladimir Scheffer may publish in the future.
Co-authors
The 2 scholars most cited alongside Vladimir Scheffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Introduction to ergodic theory | 1976 | 247 |
| 2 | 1977 | 202 | |
| 3 | 1976 | 177 | |
| 4 | 1993 | 155 | |
| 5 | 1980 | 78 | |
| 6 | 1978 | 50 | |
| 7 | 2000 | 42 | |
| 8 | Regularity and irregularity of solutions to nonlinear second order elliptic systems of partial differential equations and inequalities | 1974 | 24 |
| 9 | 1982 | 21 | |
| 10 | 1985 | 16 | |
| 11 | 1987 | 10 |
About Vladimir Scheffer
Vladimir Scheffer is a scholar working on Applied Mathematics, Mathematical Physics, Control and Systems Engineering, Computational Theory and Mathematics and Computational Mechanics, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (7 papers), Stability and Controllability of Differential Equations (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Advanced Mathematical Physics Problems (3 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Nonlinear Partial Differential Equations (2 papers), Fluid Dynamics and Turbulent Flows (2 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Applied Mathematics (721 citations), Mathematical Physics (552 citations), Statistical and Nonlinear Physics (169 citations), Computational Mechanics (240 citations) and Control and Systems Engineering (264 citations). Vladimir Scheffer has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Я.Г. Синай and Jean E. Taylor. Their work appears in journals such as Communications in Mathematical Physics, Pacific Journal of Mathematics, Journal of Geometric Analysis and Xerox University Microfilms eBooks.
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.