Yu. E. Nesterov
Impact in
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Computational Theory and Mathematics top 0.5%
- Matrix Theory and Algorithms
- Optimization and Variational Analysis
- Polynomial and algebraic computation
- Complexity and Algorithms in Graphs
- Numerical Methods and Algorithms
Papers in
-
- Advanced Optimization Algorithms Research 9
-
- Sparse and Compressive Sensing Techniques 5
- Co-authors
- Michael J. Todd (2 shared papers)Arkadi Nemirovski (2 shared papers)Mike Todd (1 shared paper)Alexander Gasnikov (5 shared papers)Pavel Dvurechensky (2 shared papers)Alexey Chernov (1 shared paper)Vladimir Spokoiny (1 shared paper)
- Journals
- Mathematics of Operations Research (1 paper)Mathematische Annalen (1 paper)SIAM Journal on Optimization (1 paper)Mathematical Programming (1 paper)Computational Mathematics and Mathematical Physics (4 papers)
- Partner nations
- BelgiumRussiaUnited States
In The Last Decade
Yu. E. Nesterov
12 papers receiving 941 citations
Yu. E. Nesterov's Hit Papers
Peers
Comparison fields: 5 of 62
- Numerical Analysis 775
- Computational Theory and Mathematics 714
- Computational Mechanics 304
- Computational Mathematics 5
- Computer Graphics and Computer-Aided Design 29
Countries citing papers authored by Yu. E. Nesterov
This map shows the geographic impact of Yu. E. Nesterov'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 Yu. E. Nesterov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. E. Nesterov more than expected).
Fields of papers citing papers by Yu. E. Nesterov
This network shows the impact of papers produced by Yu. E. Nesterov. 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 Yu. E. Nesterov. The network helps show where Yu. E. Nesterov may publish in the future.
Co-authors
The 7 scholars most cited alongside Yu. E. Nesterov, 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 | Self-Scaled Barriers and Interior-Point Methods for Convex Programming Hit paper breakdown → | 1997 | 461 |
| 2 | 1998 | 371 | |
| 3 | 2002 | 74 | |
| 4 | 1995 | 61 | |
| 5 | 1985 | 33 | |
| 6 | 2018 | 27 | |
| 7 | 2019 | 10 | |
| 8 | 2016 | 9 | |
| 9 | 2015 | 7 | |
| 10 | 1984 | 4 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 2 |
About Yu. E. Nesterov
Yu. E. Nesterov is a scholar working on Numerical Analysis, Computational Mechanics, Artificial Intelligence, Computational Theory and Mathematics and Statistics and Probability, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (9 papers), Sparse and Compressive Sensing Techniques (5 papers), Stochastic Gradient Optimization Techniques (5 papers), Optimization and Variational Analysis (5 papers), Transportation and Mobility Innovations (1 paper), Approximation Theory and Sequence Spaces (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Numerical Analysis (775 citations), Computational Theory and Mathematics (714 citations), Computational Mechanics (304 citations), Computational Mathematics (5 citations) and Computer Graphics and Computer-Aided Design (29 citations). Yu. E. Nesterov has collaborated with scholars based in Belgium, Russia and United States. Frequent co-authors include Michael J. Todd, Arkadi Nemirovski, Mike Todd, Alexander Gasnikov, Pavel Dvurechensky, Alexey Chernov and Vladimir Spokoiny. Their work appears in journals such as Mathematics of Operations Research, Mathematische Annalen, SIAM Journal on Optimization, Mathematical Programming and Computational Mathematics and Mathematical Physics.
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.