G.N. Mil'shtein
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Numerical Analysis top 10%
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
Papers in
- Finance 8
- Stochastic processes and financial applications 8
-
- advanced mathematical theories 3
G.N. Mil'shtein
17 papers receiving 418 citations
Peers
Comparison fields: 5 of 66
- Finance 244
- Numerical Analysis 77
- Statistical and Nonlinear Physics 132
- Statistics, Probability and Uncertainty 45
- Mathematical Physics 40
Countries citing papers authored by G.N. Mil'shtein
This map shows the geographic impact of G.N. Mil'shtein'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 G.N. Mil'shtein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.N. Mil'shtein more than expected).
Fields of papers citing papers by G.N. Mil'shtein
This network shows the impact of papers produced by G.N. Mil'shtein. 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 G.N. Mil'shtein. The network helps show where G.N. Mil'shtein may publish in the future.
Co-authors
The 2 scholars most cited alongside G.N. Mil'shtein, 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 | 1979 | 182 | |
| 2 | 1986 | 82 | |
| 3 | 1995 | 70 | |
| 4 | 1988 | 45 | |
| 5 | 1994 | 26 | |
| 6 | 1982 | 19 | |
| 7 | 1995 | 18 | |
| 8 | An algorithm for random walks over small ellipsoids for solving the general Dirichlet problem | 1993 | 7 |
| 9 | 1996 | 7 | |
| 10 | 1972 | 5 | |
| 11 | ESTIMATION IN CONTROLLED STOCHASTIC-SYSTEMS WITH MULTIPLICATIVE NOISE | 1984 | 4 |
| 12 | 1976 | 4 | |
| 13 | 1977 | 3 | |
| 14 | 1984 | 2 | |
| 15 | 1996 | 2 | |
| 16 | 1967 | 1 | |
| 17 | 1962 | 1 | |
| 18 | 1991 | 0 | |
| 19 | 1972 | 0 |
About G.N. Mil'shtein
G.N. Mil'shtein is a scholar working on Finance, Mathematical Physics, Artificial Intelligence, Statistical and Nonlinear Physics and Numerical Analysis, having authored 19 papers that have together received 478 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Mathematical Control Systems and Analysis (3 papers), advanced mathematical theories (3 papers), Elasticity and Wave Propagation (2 papers), Differential Equations and Boundary Problems (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Mathematical Approximation and Integration (1 paper) and demographic modeling and climate adaptation (1 paper). The work is most often cited by research in Finance (244 citations), Numerical Analysis (77 citations), Statistical and Nonlinear Physics (132 citations), Statistics, Probability and Uncertainty (45 citations) and Mathematical Physics (40 citations). G.N. Mil'shtein has collaborated with scholars based in Russia. Frequent co-authors include Lev Ryashko and M. V. Tretyakov. Their work appears in journals such as Journal of Statistical Physics, Mathematics and Computers in Simulation, Journal of Applied Mathematics and Mechanics, Computational Mathematics and Mathematical Physics and Automation and Remote Control.
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.