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D-Index & Metrics

Mathematics

D-Index
32
Citations
3448
World Ranking
3244
National Ranking
1287

Magda Peligrad 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 Magda Peligrad 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: 162 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Magda Peligrad 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 Magda Peligrad 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: 32 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Magda Peligrad is affiliated with the University of Cincinnati in the United States and specializes in the field of Mathematics. Their research work spans several subfields including Mathematical Physics, Statistics and Probability, Finance, Management Science and Operations Research, and Geometry and Topology.

The primary topics covered in their work include:

  • Stochastic processes and statistical mechanics
  • Mathematical Dynamics and Fractals
  • Markov Chains and Monte Carlo Methods
  • Probability and Risk Models
  • Stochastic processes and financial applications
  • Financial Risk and Volatility Modeling
  • Random Matrices and Applications

Peligrad has published extensively, with a significant number of papers appearing in notable venues such as arXiv (Cornell University), Latin American Journal of Probability and Mathematical Statistics, Stochastic Processes and their Applications, Electronic Communications in Probability, and Statistics & Probability Letters.

Some recent papers by Peligrad include:

  • Limit theorems for linear random fields with innovations in the domain of attraction of a stable law, 2022, Stochastic Processes and their Applications
  • A new CLT for additive functionals of Markov chains, 2020, Stochastic Processes and their Applications

Peligrad frequently collaborates with other researchers. Notable co-authors include Florence Merlevède, Hailin Sang, Costel Peligrad, Jérôme Dedecker, and C. Cuny.

Best Publications

  • A Bernstein type inequality and moderate deviations for weakly dependent sequences

    Florence Merlevède;Magda Peligrad;Emmanuel Rio

  • Maximal Inequalities and an Invariance Principle for a Class of Weakly Dependent Random Variables

    Sergey Utev;Magda Peligrad

  • Almost-sure results for a class of dependent random variables

    Magda Peligrad;Allan Gut

  • Invariance Principles for Mixing Sequences of Random Variables

    Magda Peligrad

  • Recent advances in invariance principles for stationary sequences

    Florence Merlevède;Magda Peligrad;Sergey Utev

  • CENTRAL LIMIT THEOREM FOR LINEAR PROCESSES

    Magda Peligrad;Sergey Utev

  • Recent Advances in the Central Limit Theorem and Its Weak Invariance Principle for Mixing Sequences of Random Variables (A Survey)

    Magda Peligrad

  • A new maximal inequality and invariance principle for stationary sequences

    Magda Peligrad;Sergey Utev

  • A note on the almost sure central limit theorem for weakly dependent random variables

    Magda Peligrad;Qi-Man Shao

  • Bernstein inequality and moderate deviations under strong mixing conditions

    Florence Merlevède;Magda Peligrad;Emmanuel Rio

  • On the asymptotic normality of sequences of weak dependent random variables

    Magda Peligrad

  • A maximal _{}-inequality for stationary sequences and its applications

    Magda Peligrad;Sergey Utev;Wei Biao Wu

  • Central limit theorem for stationary linear processes

    Magda Peligrad;Sergey Utev

  • An Invariance Principle for $\phi$-Mixing Sequences

    Magda Peligrad

  • Convergence rates of the strong law for stationary mixing sequences

    Magda Peligrad

  • Central limit theorem for fourier transforms of stationary processes.

    Magda Peligrad;Wei Biao Wu

  • ON THE BLOCKWISE BOOTSTRAP FOR EMPIRICAL PROCESSES FOR STATIONARY SEQUENCES

    Magda Peligrad

  • Maximum of partial sums and an invariance principle for a class of weak dependent random variables

    Magda Peligrad

  • Sharp Conditions for the CLT of Linear Processes in a Hilbert Space

    Florence Merlevède;Magda Peligrad;Sergey Utev

  • Asymptotic Normality for Density Kernel Estimators in Discrete and Continuous Time

    Denis Bosq;Florence Merlevède;Magda Peligrad

  • On the limiting spectral distribution for a large class of symmetric random matrices with correlated entries

    Marwa Banna;Florence Merlevède;Magda Peligrad

  • On Ibragimov–Iosifescu conjecture for φ-mixing sequences

    Magda Peligrad

  • The functional central limit theorem under the strong mixing condition

    Florence Merlevàde;Magda Peligrad

  • Rosenthal-type inequalities for the maximum of partial sums of stationary processes and examples

    Florence Merlevède;Magda Peligrad

  • Central limit theorem for Fourier transforms of stationary processes

    Magda Peligrad;Wei Biao Wu

Frequent Co-Authors

Qi-Man Shao
Qi-Man Shao Chinese University of Hong Kong
Wei Biao Wu
Wei Biao Wu University of Chicago

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