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Mathematics
Belgium
2026

D-Index & Metrics

Mathematics

D-Index
58
Citations
32993
World Ranking
609
National Ranking
9

Engineering and Technology

D-Index
57
Citations
32615
World Ranking
2579
National Ranking
33

Yurii Nesterov publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Yurii Nesterov sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 224 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Yurii Nesterov D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Yurii Nesterov sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 58 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Belgium Leader Award
  • 2025 - Research.com Mathematics in Belgium Leader Award
  • 2016 - EURO Gold Medal
  • 2009 - INFORMS John von Neumann Theory Prize
  • 2000 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)

Overview

Yurii Nesterov is affiliated with the Université Catholique de Louvain in Belgium and focuses on research primarily within computer science, mathematics, and engineering. Their scholarly contributions emphasize advanced optimization algorithms, spanning a diverse set of topics related to numeric computations and optimization theory.

Their research encompasses various subjects including:

  • Advanced Optimization Algorithms Research
  • Sparse and Compressive Sensing Techniques
  • Stochastic Gradient Optimization Techniques
  • Matrix Theory and Algorithms
  • Optimization and Variational Analysis
  • Iterative Methods for Nonlinear Equations
  • Advanced Bandit Algorithms Research

Yurii Nesterov has published extensively in several academic venues. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • Mathematical Programming
  • Journal of Optimization Theory and Applications
  • SIAM Journal on Optimization
  • Optimization Methods & Software

Among recent papers authored or coauthored by Yurii Nesterov are:

  • Inexact accelerated high-order proximal-point methods (2021), Mathematical Programming
  • Superfast Second-Order Methods for Unconstrained Convex Optimization (2021), Journal of Optimization Theory and Applications
  • Inexact High-Order Proximal-Point Methods with Auxiliary Search Procedure (2021), SIAM Journal on Optimization

Frequent collaborators of Yurii Nesterov include:

  • Nikita Doikov
  • Anton Rodomanov
  • Masoud Ahookhosh
  • Pavel Dvurechensky
  • Alexander Gasnikov

Their academic work spans subfields such as numerical analysis, computational theory and mathematics, computational mechanics, artificial intelligence, and management science and operations research.

Awards recognizing contributions to the field include:

  • EURO Gold Medal (2016)
  • INFORMS John von Neumann Theory Prize (2009)
  • Dantzig Prize awarded by SIAM and the Mathematical Optimization Society (2000)

Best Publications

  • Interior-Point Polynomial Algorithms in Convex Programming

    Yurii Nesterov;Arkadii Nemirovskii

  • Introductory Lectures on Convex Optimization

    Yurii Nesterov

  • Efficiency of coordinate descent methods on huge-scale optimization problems

    Yurii E. Nesterov

  • A method for solving the convex programming problem with convergence rate O(1/k^2)

    Y. E. Nesterov

  • Lectures on Convex Optimization

    Yurii Nesterov

  • Cubic regularization of Newton method and its global performance

    Yurii Nesterov;B.T. Polyak

  • Random Gradient-Free Minimization of Convex Functions

    Yurii Nesterov;Vladimir Spokoiny

  • Self-scaled barriers and interior-point methods for convex programming

    Yu E. Nesterov;M. J. Todd

  • Primal-Dual Interior-Point Methods for Self-Scaled Cones

    Yu. E. Nesterov;M. J. Todd

  • Generalized Power Method for Sparse Principal Component Analysis

    Michel Journée;Yurii Nesterov;Peter Richtárik;Rodolphe Sepulchre

  • New variants of bundle methods

    Claude Lemaréchal;Arkadii Nemirovskii;Yurii Nesterov

  • First-order methods of smooth convex optimization with inexact oracle

    Olivier Devolder;François Glineur;Yurii Nesterov

  • Squared Functional Systems and Optimization Problems

    Unknown

  • Narrow scope for resolution-limit-free community detection.

    V. A. Traag;P. Van Dooren;Y. Nesterov

  • Dual extrapolation and its applications to solving variational inequalities and related problems

    Yurii Nesterov

  • Relatively Smooth Convex Optimization by First-Order Methods, and Applications

    Haihao Lu;Robert M. Freund;Yurii E. Nesterov

  • On the Riemannian Geometry Defined by Self-Concordant Barriers and Interior-Point Methods

    Yurii E. Nesterov;Michael J. Todd

  • Random gradient-free minimization of convex functions

    Yurii Nesterov

  • Efficiency of the accelerated coordinate descent method on structured optimization problems

    Yurii E. Nesterov;Sebastian U. Stich

  • Implementable tensor methods in unconstrained convex optimization.

    Yurii E. Nesterov

  • Quality of semidefinite relaxation for nonconvex quadratic optimization

    Yurii Nesterov

Frequent Co-Authors

Vincent D. Blondel
Vincent D. Blondel Université Catholique de Louvain
Paul Van Dooren
Paul Van Dooren Université Catholique de Louvain
Arkadi Nemirovski
Arkadi Nemirovski Georgia Institute of Technology
Vladimir Spokoiny
Vladimir Spokoiny Weierstrass Institute for Applied Analysis and Stochastics
Peter Richtárik
Peter Richtárik King Abdullah University of Science and Technology
Michael J. Todd
Michael J. Todd Cornell University
Volker Mehrmann
Volker Mehrmann Technical University of Berlin
Victor Ginsburgh
Victor Ginsburgh Université Libre de Bruxelles
Yinyu Ye
Yinyu Ye Stanford University
Rodolphe Sepulchre
Rodolphe Sepulchre University of Cambridge

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