Dmitriy Drusvyatskiy
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research 20
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- Optimization and Variational Analysis 17
- Polynomial and algebraic computation 2
- Geometry and Topology top 10%
- Advanced Topology and Set Theory 5
- Fixed Point Theorems Analysis 2
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques 12
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- Stochastic Gradient Optimization Techniques 9
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- Point processes and geometric inequalities 4
- Co-authors
- Adrian S. LewisA. D. IoffeHenry WolkowiczLin XiaoAris DaniilidisGábor PatakiDamek DavisRekha R. Thomas
- Journals
- Mathematical Programming (7 papers)SIAM Journal on Optimization (6 papers)Information and Inference A Journal of the IMA (2 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Dmitriy Drusvyatskiy
32 papers receiving 293 citations
Peers
Comparison fields: 5 of 48
- Numerical Analysis 164
- Computational Theory and Mathematics 202
- Computational Mathematics 7
- Geometry and Topology 67
- Computational Mechanics 111
Countries citing papers authored by Dmitriy Drusvyatskiy
This map shows the geographic impact of Dmitriy Drusvyatskiy'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 Dmitriy Drusvyatskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitriy Drusvyatskiy more than expected).
Fields of papers citing papers by Dmitriy Drusvyatskiy
This network shows the impact of papers produced by Dmitriy Drusvyatskiy. 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 Dmitriy Drusvyatskiy. The network helps show where Dmitriy Drusvyatskiy may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Dmitriy Drusvyatskiy, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 3 | |
| 9 | Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees | 2021 | 1 |
| 10 | Active strict saddles in nonsmooth optimization | 2019 | 1 |
| 11 | Robust stochastic optimization with the proximal point method. | 2019 | 0 |
| 12 | 2019 | 3 | |
| 13 | 2017 | 16 | |
| 14 | 2015 | 15 | |
| 15 | 2015 | 42 | |
| 16 | 2015 | 17 | |
| 17 | 2014 | 3 | |
| 18 | 2014 | 4 | |
| 19 | 2014 | 1 | |
| 20 | 2010 | 8 |
About Dmitriy Drusvyatskiy
Dmitriy Drusvyatskiy is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Geometry and Topology, having authored 37 papers that have together received 319 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (20 papers), Optimization and Variational Analysis (17 papers), Sparse and Compressive Sensing Techniques (12 papers), Stochastic Gradient Optimization Techniques (9 papers), Advanced Topology and Set Theory (5 papers), Point processes and geometric inequalities (4 papers), Polynomial and algebraic computation (2 papers) and Fixed Point Theorems Analysis (2 papers). The work is most often cited by research in Numerical Analysis (164 citations), Computational Theory and Mathematics (202 citations) and Computational Mathematics (7 citations). Dmitriy Drusvyatskiy has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Adrian S. Lewis, A. D. Ioffe, Henry Wolkowicz, Lin Xiao, Aris Daniilidis, Gábor Pataki, Damek Davis, Rekha R. Thomas, Giorgio Ottaviani and Guoyin Li. Their work appears in journals such as Mathematical Programming, SIAM Journal on Optimization, Information and Inference A Journal of the IMA, Foundations of Computational Mathematics and Mathematics of Operations 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.