Yu. E. Nesterov

1.5k total citations · 1 hit paper
12 papers, 1.0k citations indexed

About

Yu. E. Nesterov is a scholar working on Numerical Analysis, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yu. E. Nesterov has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Numerical Analysis, 6 papers in Computational Mechanics and 5 papers in Artificial Intelligence. Recurrent topics in Yu. E. Nesterov's work include Advanced Optimization Algorithms Research (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and Optimization and Variational Analysis (5 papers). Yu. E. Nesterov is often cited by papers focused on Advanced Optimization Algorithms Research (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and Optimization and Variational Analysis (5 papers). Yu. E. Nesterov collaborates with scholars based in Belgium, Russia and United States. Yu. E. Nesterov's co-authors include Michael J. Todd, Arkadi Nemirovski, Mike Todd, Alexander Gasnikov, Pavel Dvurechensky, Vladimir Spokoiny and Alexey Chernov and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Optimization and Mathematics of Operations Research.

In The Last Decade

Yu. E. Nesterov

12 papers receiving 922 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Self-Scaled Barriers and Interior-Point Methods for Convex Programming

1997 456 citations Yu. E. Nesterov, Michael J. Todd Mathematics of Operations Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yu. E. Nesterov Belgium	8	762	707	299	146	98	12	1.0k
Levent Tunçel Canada	18	525 0.7×	603 0.9×	159 0.5×	111 0.8×	91 0.9×	75	859
Osman Güler United States	15	944 1.2×	1.0k 1.4×	322 1.1×	123 0.8×	93 0.9×	21	1.4k
Sandra A. Santos Brazil	20	782 1.0×	703 1.0×	431 1.4×	138 0.9×	188 1.9×	68	1.2k
Jérôme Malick France	17	451 0.6×	482 0.7×	378 1.3×	104 0.7×	152 1.6×	46	1.0k
Robert Mifflin United States	14	914 1.2×	888 1.3×	365 1.2×	133 0.9×	81 0.8×	28	1.2k
Regina S. Burachik Australia	21	954 1.3×	1.2k 1.7×	291 1.0×	160 1.1×	38 0.4×	67	1.4k
V. F. Demyanov Russia	17	707 0.9×	936 1.3×	172 0.6×	259 1.8×	89 0.9×	69	1.4k
Jein-Shan Chen Taiwan	22	1.2k 1.5×	1.1k 1.5×	158 0.5×	265 1.8×	147 1.5×	129	1.5k
Shih-Ping Han United States	8	433 0.6×	396 0.6×	179 0.6×	157 1.1×	50 0.5×	13	688
Houduo Qi United Kingdom	23	737 1.0×	698 1.0×	431 1.4×	124 0.8×	218 2.2×	69	1.4k

Countries citing papers authored by Yu. E. Nesterov

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yu. E. Nesterov

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

All Works

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12 of 12 papers shown

1.

Nesterov, Yu. E., et al.. (2019). Accelerated Primal-Dual Gradient Descent with Linesearch for Convex, Nonconvex, and Nonsmooth Optimization Problems. Doklady Mathematics. 99(2). 125–128. 10 indexed citations

2.

Nesterov, Yu. E., et al.. (2019). Primal-dual accelerated gradient descent with line search for convex and nonconvex optimization problems. Доклады Академии наук. 485(1). 15–18. 2 indexed citations

3.

Gasnikov, Alexander & Yu. E. Nesterov. (2018). Universal Method for Stochastic Composite Optimization Problems. Computational Mathematics and Mathematical Physics. 58(1). 48–64. 25 indexed citations

4.

Gasnikov, Alexander, et al.. (2018). Dual Methods for Finding Equilibriums in Mixed Models of Flow Distribution in Large Transportation Networks. Computational Mathematics and Mathematical Physics. 58(9). 1395–1403. 2 indexed citations

5.

Nesterov, Yu. E., et al.. (2016). Efficient numerical methods for entropy-linear programming problems. Computational Mathematics and Mathematical Physics. 56(4). 514–524. 9 indexed citations

6.

Gasnikov, Alexander, Yu. E. Nesterov, & Vladimir Spokoiny. (2015). On the efficiency of a randomized mirror descent algorithm in online optimization problems. Computational Mathematics and Mathematical Physics. 55(4). 580–596. 7 indexed citations

7.

Nesterov, Yu. E. & Mike Todd. (2002). On the Riemannian Geometry Defined by Self-Concordant Barriers and Interior-Point Methods. Mathematische Annalen. 2(4). 333–361. 74 indexed citations

8.

Nesterov, Yu. E. & Michael J. Todd. (1998). Primal-Dual Interior-Point Methods for Self-Scaled Cones. SIAM Journal on Optimization. 8(2). 324–364. 364 indexed citations

9.

Nesterov, Yu. E. & Michael J. Todd. (1997). Self-Scaled Barriers and Interior-Point Methods for Convex Programming. Mathematics of Operations Research. 22(1). 1–42. 456 indexed citations breakdown →

10.

Nesterov, Yu. E. & Arkadi Nemirovski. (1995). An interior-point method for generalized linear-fractional programming. Mathematical Programming. 69(1-3). 177–204. 58 indexed citations

11.

Nemirovski, Arkadi & Yu. E. Nesterov. (1985). Optimal methods of smooth convex minimization. USSR Computational Mathematics and Mathematical Physics. 25(2). 21–30. 33 indexed citations

12.

Nesterov, Yu. E.. (1984). One class of methods of unconditional minimization of a convex function, having a high rate of convergence. USSR Computational Mathematics and Mathematical Physics. 24(4). 80–82. 3 indexed citations

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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