Yurii E. Nesterov

Active 1991–2025

112
Papers
20,731
Citations
39
h-index
80
i10-index

Citations

Citations per year for Yurii E. Nesterov1965: 1 citations1992: 1 citations1994: 10 citations1995: 32 citations1996: 60 citations1997: 67 citations1998: 88 citations1999: 93 citations2000: 91 citations2001: 104 citations2002: 109 citations2003: 133 citations2004: 126 citations2005: 111 citations2006: 169 citations2007: 180 citations2008: 164 citations2009: 221 citations2010: 269 citations2011: 361 citations2012: 378 citations2013: 486 citations2014: 682 citations2015: 724 citations2016: 748 citations2017: 752 citations2018: 800 citations2019: 1,070 citations2020: 1,095 citations2021: 1,133 citations2022: 935 citations2023: 791 citations2024: 851 citations2025: 718 citations2026: 182 citations2027: 1 citations1966–1991: no citations, so these years are not shown1993: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,850 citing papers, 28.8% of this breakdownChina: 2,099 citing papers, 15.7% of this breakdownFrance: 762 citing papers, 5.7% of this breakdownGermany: 546 citing papers, 4.1% of this breakdownUnited Kingdom: 534 citing papers, 4% of this breakdownCanada: 492 citing papers, 3.7% of this breakdownHong Kong: 383 citing papers, 2.8% of this breakdownBelgium: 345 citing papers, 2.6% of this breakdownAustralia: 325 citing papers, 2.4% of this breakdownSingapore: 304 citing papers, 2.3% of this breakdownJapan: 301 citing papers, 2.2% of this breakdownSwitzerland: 292 citing papers, 2.2% of this breakdown
0%28.8%Other 23.5%

Fields

  • Computer Science38.5%
  • Engineering34.2%
  • Mathematics16.7%
  • Decision Sciences4.3%
  • Physics and Astronomy1.9%
  • Medicine1.1%
  • Other3.3%

Topics

  • Sparse and Compressive Sensing Techniques12.4%
  • Advanced Optimization Algorithms Research9%
  • Stochastic Gradient Optimization Techniques7.9%
  • Optimization and Variational Analysis3.3%
  • Matrix Theory and Algorithms2.5%
  • Advanced Bandit Algorithms Research1.7%
  • Other63.2%

Coauthors

All papers

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  1. Introductory Lectures on Convex Optimization - A Basic Course

    Authors: - Applied optimization 2004 cited by 2,661

  2. Interior-point polynomial algorithms in convex programming

    Authors: , - Society for Industrial and Applied Mathematics eBooks 1994 cited by 4,346

  3. Random Gradient-Free Minimization of Convex Functions

    Authors: , - Foundations of Computational Mathematics, Found. Comput. Math. 2015 cited by 859

  4. Smooth minimization of non-smooth functions

    Authors: - Mathematical Programming, Math. Program. 2003 cited by 2,564

  5. Gradient methods for minimizing composite functions

    Authors: - Mathematical Programming, Math. Program. 2012 cited by 1,367

  6. Cubic regularization of Newton method and its global performance

    Authors: , - LIDAM Reprints CORE, Math. Program. 2006 cited by 815

  7. Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems

    Authors: - SIAM Journal on Optimization, SIAM J. Optim. 2010 cited by 1,248

  8. Primal-dual subgradient methods for convex problems

    Authors: - Mathematical Programming, Math. Program. 2005 cited by 858

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

    Authors: , , - SIAM Journal on Optimization, SIAM J. Optim. 2018 cited by 281

  10. First-order methods of smooth convex optimization with inexact oracle

    Authors: , , - Mathematical Programming, Math. Program. 2011 cited by 440

  11. Dual extrapolation and its applications to solving variational inequalities and related problems

    Authors: - Mathematical Programming, Math. Program. 2006 cited by 282

  12. Universal gradient methods for convex optimization problems

    Authors: - Mathematical Programming, Math. Program. 2013 cited by 252

  13. Implementable tensor methods in unconstrained convex optimization

    Authors: - Mathematical Programming, Math. Program. 2019 cited by 112

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

    Authors: , - Mathematics of Operations Research, Math. Oper. Res. 1997 cited by 616

  15. Primal-Dual Interior-Point Methods for Self-Scaled Cones

    Authors: , - SIAM Journal on Optimization, SIAM J. Optim. 1995 cited by 514

  16. Generalized Power Method for Sparse Principal Component Analysis

    Authors: , , , - J. Mach. Learn. Res. 2010 cited by 501

  17. Regularized Newton Methods for Minimizing Functions with Hölder Continuous Hessians

    Authors: , - LIDAM Reprints CORE, SIAM J. Optim. 2017 cited by 64

  18. Inexact accelerated high-order proximal-point methods

    Authors: - Mathematical Programming, Math. Program. 2021 cited by 39

  19. Greedy Quasi-Newton Methods with Explicit Superlinear Convergence

    Authors: , - SIAM Journal on Optimization, SIAM J. Optim. 2021 cited by 26

  20. Lexicographic differentiation of nonsmooth functions

    Authors: - Mathematical Programming, Math. Program. 2005 cited by 80

  21. Inexact High-Order Proximal-Point Methods with Auxiliary Search Procedure

    Authors: - SIAM Journal on Optimization, SIAM J. Optim. 2021 cited by 29

  22. Efficiency of the Accelerated Coordinate Descent Method on Structured Optimization Problems

    Authors: , - SIAM Journal on Optimization, SIAM J. Optim. 2017 cited by 102

  23. Towards non-symmetric conic optimization

    Authors: - Optimization methods & software, Optim. Methods Softw. 2011 cited by 75

  24. On first-order algorithms for l1/nuclear norm minimization

    Authors: , - Acta Numerica, Acta Numer. 2013 cited by 48