World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
38
Citations
10413
World Ranking
2281
National Ranking
22

Vladimir Temlyakov 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 Vladimir Temlyakov 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: 83 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: 214 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Vladimir Temlyakov 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 Vladimir Temlyakov 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: 138 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: 38 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Vladimir Temlyakov is affiliated with Lomonosov Moscow State University in the Russian Federation. Their research primarily focuses on various areas within mathematics, emphasizing numerical analysis, applied mathematics, and computational mechanics.

Their work spans numerous themes, including mathematical approximation and integration, sparse and compressive sensing techniques, mathematical analysis and transform methods, image and signal denoising methods, mathematical functions and polynomials, approximation theory and sequence spaces, and numerical methods in inverse problems.

Temlyakov has contributed to a substantial number of publications, with a total exceeding 100 in the field of mathematics. Their research findings appear frequently in venues such as arXiv (Cornell University), Journal of Complexity, Journal of Approximation Theory, Математический сборник, and Sbornik Mathematics.

Significant recent papers authored or coauthored by Temlyakov include:

  • On optimal recovery in L2, 2020, Journal of Complexity
  • Sampling discretization and related problems, 2022, Journal of Complexity
  • On sampling discretization in L2, 2022, Journal of Mathematical Analysis and Applications
  • Entropy numbers and Marcinkiewicz-type discretization, 2021, Journal of Functional Analysis
  • Sampling Discretization of Integral Norms, 2021, Constructive Approximation

Throughout their career, Temlyakov has collaborated extensively with several researchers. Frequent coauthors include Feng Dai, Egor D. Kosov, Irina Viktorovna Limonova, Alexei Shadrin, and Sergey Tikhonov.

Best Publications

  • Stable recovery of sparse overcomplete representations in the presence of noise

    D.L. Donoho;M. Elad;V.N. Temlyakov

  • Some remarks on greedy algorithms

    Ronald A. DeVore;Vladimir N. Temlyakov

  • Nonlinear Methods of Approximation

    Vladimir N. Temlyakov

  • Weak greedy algorithms[*]This research was supported by National Science Foundation Grant DMS 9970326 and by ONR Grant N00014‐96‐1‐1003.

    Vladimir N. Temlyakov

  • Greedy Approximation

    Vladimir Temlyakov

  • Hyperbolic Cross Approximation

    Dinh Dũng;Vladimir Temlyakov;Tino Ullrich

  • The Orthogonal Super Greedy Algorithm and Applications in Compressed Sensing

    Entao Liu;V. N. Temlyakov

  • The best m-term approximation and greedy algorithms

    Vladimir N. Temlyakov

  • Hyperbolic wavelet approximation

    R. A. DeVore;S. V. Konyagin;V. N. Temlyakov

  • The Thresholding Greedy Algorithm, Greedy Bases, and Duality

    S.J. Dilworth;N.J. Kalton;Denka Kutzarova;V.N. Temlyakov

  • Greedy Algorithm and m -Term Trigonometric Approximation

    V. N. Temlyakov

  • Nonlinear Approximation by Trigonometric Sums

    R.A. DeVore;V.N. Temlyakov

  • A remark on Compressed Sensing

    B. S. Kashin;V. N. Temlyakov

  • Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions

    Peter Binev;Albert Cohen;Wolfgang Dahmen;Ronald DeVore

  • Greedy Algorithms andM-Term Approximation with Regard to Redundant Dictionaries

    V.N. Temlyakov

  • On Approximate Recovery of Functions with Bounded Mixed Derivative

    V.N. Temlyakov

  • Greedy Algorithms in Banach Spaces

    Vladimir N. Temlyakov

  • Simultaneous approximation by greedy algorithms

    Dany Leviatan;Vladimir N. Temlyakov

  • APPROXIMATE RECOVERY OF PERIODIC FUNCTIONS OF SEVERAL VARIABLES

    V N Temlyakov

  • Approximation Methods for Supervised Learning

    Ronald Devore;Gerard Kerkyacharian;Dominique Picard;Vladimir Temlyakov

Frequent Co-Authors

Ronald A. DeVore
Ronald A. DeVore Texas A&M University
Gerard Kerkyacharian
Gerard Kerkyacharian Université Paris Cité
Michael Elad
Michael Elad Technion – Israel Institute of Technology
Dominique Picard
Dominique Picard Université Paris Cité
David L. Donoho
David L. Donoho Stanford University
Nigel J. Kalton
Nigel J. Kalton University of Missouri
Albert Cohen
Albert Cohen Google (United States)
Wolfgang Dahmen
Wolfgang Dahmen University of South Carolina
Alexandre B. Tsybakov
Alexandre B. Tsybakov École Nationale de la Statistique et de l'Administration Économique
Erich Novak
Erich Novak Friedrich Schiller University Jena

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