B. T. Polyak
- Numerical Analysis top 0.1%
- Advanced Optimization Algorithms Research 25
- Numerical methods for differential equations 9
- Computational Theory and Mathematics top 0.1%
- Matrix Theory and Algorithms 17
- Optimization and Variational Analysis 8
- Computational Mechanics top 0.5%
- Computational Mathematics top 5%
- Mathematical Physics top 2%
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- Stability and Control of Uncertain Systems 30
- Control Systems and Identification 14
- Advanced Control Systems Optimization 11
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- Stochastic Gradient Optimization Techniques 8
- Co-authors
- Anatoli JuditskyE. S. LevitinYurii NesterovPavel ShcherbakovRoberto TempoElena GryazinaGiuseppe C. CalafioreSergey A. Nazin
In The Last Decade
B. T. Polyak
83 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Numerical Analysis 2.4k
- Computational Theory and Mathematics 2.2k
- Computational Mechanics 1.9k
- Computational Mathematics 39
- Mathematical Physics 505
Countries citing papers authored by B. T. Polyak
This map shows the geographic impact of B. T. Polyak'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 B. T. Polyak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. T. Polyak more than expected).
Fields of papers citing papers by B. T. Polyak
This network shows the impact of papers produced by B. T. Polyak. 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 B. T. Polyak. The network helps show where B. T. Polyak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside B. T. Polyak, 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 | 2022 | 4 | |
| 2 | 2021 | 13 | |
| 3 | 2021 | 5 | |
| 4 | 2017 | 8 | |
| 5 | 2009 | 4 | |
| 6 | 2009 | 3 | |
| 7 | 2009 | 9 | |
| 8 | 2008 | 11 | |
| 9 | 2008 | 11 | |
| 10 | 2007 | 11 | |
| 11 | 2006 | 22 | |
| 12 | Cubic regularization of Newton method and its global performancebreakdown → | 2006 | 383 |
| 13 | 2002 | 49 | |
| 14 | 2002 | 12 | |
| 15 | 2001 | 4 | |
| 16 | 1994 | 1 | |
| 17 | Acceleration of Stochastic Approximation by Averagingbreakdown → | 1992 | 942 |
| 18 | 1991 | 25 | |
| 19 | 1970 | 29 | |
| 20 | The conjugate gradient method in extremal problemsbreakdown → | 1969 | 836 |
About B. T. Polyak
B. T. Polyak is a scholar working on Numerical Analysis, Control and Systems Engineering and Computational Theory and Mathematics, having authored 87 papers that have together received 6.7k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (30 papers), Advanced Optimization Algorithms Research (25 papers), Matrix Theory and Algorithms (17 papers), Control Systems and Identification (14 papers), Advanced Control Systems Optimization (11 papers), Numerical methods for differential equations (9 papers), Optimization and Variational Analysis (8 papers) and Stochastic Gradient Optimization Techniques (8 papers). The work is most often cited by research in Numerical Analysis (2.4k citations), Computational Theory and Mathematics (2.2k citations) and Computational Mechanics (1.9k citations). B. T. Polyak has collaborated with scholars based in Russia, Italy and Portugal. Frequent co-authors include Anatoli Juditsky, E. S. Levitin, Yurii Nesterov, Pavel Shcherbakov, Roberto Tempo, Elena Gryazina, Giuseppe C. Calafiore, Sergey A. Nazin, Yakov Z. Tsypkin and M. V. Khlebnikov. Their work appears in journals such as IEEE Transactions on Automatic Control, The Journal of Difference Equations and Applications, Automation and Remote Control, Journal of Optimization Theory and Applications and European Journal of Operational Research.
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.