Dmitriy Drusvyatskiy

1.2k citations
37 papers · 319 indexed · h-index 11
Topics
Advanced Optimization Algorithms Research (20 papers)Optimization and Variational Analysis (17 papers)Sparse and Compressive Sensing Techniques (12 papers)

In The Last Decade

Dmitriy Drusvyatskiy

32 papers receiving 293 citations

Peers

Dmitriy Drusvyatskiy
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 202
  • Numerical Analysis 164
  • Computational Mechanics 111
  • Geometry and Topology 67
  • Applied Mathematics 39
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Citations per field
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Citations per year

Countries citing papers authored by Dmitriy Drusvyatskiy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Dmitriy Drusvyatskiy

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitriy Drusvyatskiy. A scholar is included among the top collaborators of Dmitriy Drusvyatskiy 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 Dmitriy Drusvyatskiy. Dmitriy Drusvyatskiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 2
6 1
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8 3
9
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
1
10
Active strict saddles in nonsmooth optimization
1
11
Robust stochastic optimization with the proximal point method.
0
12 3
13 16
14 15
15 42
16 17
17 3
18 4
19 1
20 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) and Sparse and Compressive Sensing Techniques (12 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 Proceedings of the National Academy of Sciences, The Annals of Statistics and Mathematical Programming.

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.

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