World's Best Scientists 2026 revealed!
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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

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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