World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
47
Citations
10709
World Ranking
1251
National Ranking
558

Piotr Kokoszka 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 Piotr Kokoszka 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: 206 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Piotr Kokoszka 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 Piotr Kokoszka 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: 47 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Piotr Kokoszka is affiliated with Colorado State University in the United States. Their research primarily focuses on the intersection of economics, econometrics, finance, and statistics, with a significant contribution to the analysis of financial risk and volatility as well as time series and complex systems.

The main fields of study for Kokoszka include:

  • Economics, Econometrics and Finance

The subfields of their research are diversified across:

  • Economics and Econometrics
  • Finance
  • Statistics and Probability
  • Artificial Intelligence
  • Global and Planetary Change

Key topics that characterize Kokoszka's work involve:

  • Financial Risk and Volatility Modeling
  • Complex Systems and Time Series Analysis
  • Statistical Methods and Inference
  • Soil Geostatistics and Mapping
  • Spatial and Panel Data Analysis
  • Market Dynamics and Volatility
  • Advanced Statistical Methods and Models

Piotr Kokoszka has published multiple recent papers in notable academic journals. Some selected works include:

  • "Modeling Probability Density Functions as Data Objects," 2021, Econometrics and Statistics
  • "Wasserstein autoregressive models for density time series," 2021, Journal of Time Series Analysis
  • "Principal Component Analysis of Spatially Indexed Functions," 2020, Journal of the American Statistical Association
  • "Monitoring for a change point in a sequence of distributions," 2021, The Annals of Statistics
  • "Neural network prediction of crude oil futures using B-splines," 2020, Energy Economics

The scientist's frequent publication venues include:

  • Journal of Time Series Analysis
  • arXiv (Cornell University)
  • Journal of Multivariate Analysis
  • Bernoulli
  • Econometrics and Statistics

Collaborations have been an important aspect of Kokoszka's work, with frequent co-authors including:

  • Shixuan Wang
  • Tim Kutta
  • Neda Mohammadi
  • Lajos Horváth
  • Alexander Petersen

Best Publications

  • Inference for Functional Data with Applications

    Lajos Horváth;Piotr Kokoszka

  • GARCH processes: structure and estimation

    Istv 'an Berkes;Lajos Horv 'ath;Piotr Kokoszka

  • Introduction to Functional Data Analysis

    Piotr Kokoszka;Matthew Reimherr

  • Rescaled variance and related tests for long memory in volatility and levels

    Liudas Giraitis;Piotr Kokoszka;Remigijus Leipus;Gilles Teyssière

  • Weakly dependent functional data

    Siegfried Hörmann;Piotr Kokoszka

  • STATIONARY ARCH MODELS: DEPENDENCE STRUCTURE AND CENTRAL LIMIT THEOREM

    Liudas Giraitis;Piotr Kokoszka;Remigijus Leipus

  • Change-point estimation in ARCH models

    Piotr Kokoszka;Remigijus Leipus

  • Monitoring changes in linear models

    Lajos Horváth;Marie Hušková;Piotr Kokoszka;Josef Steinebach

  • Testing stationarity of functional time series

    Lajos Horváth;Piotr Kokoszka;Gregory Rice

  • Fractional ARIMA with stable innovations

    Piotr S. Kokoszka;Murad S. Taqqu

  • Detecting changes in the mean of functional observations

    István Berkes;Robertas Gabrys;Lajos Horváth;Piotr Kokoszka

  • Estimation of the mean of functional time series and a two-sample problem

    Lajos Horváth;Piotr Kokoszka;Ron Reeder

  • On discriminating between long-range dependence and changes in mean

    István Berkes;Lajos Horváth;Piotr Kokoszka;Qi-Man Shao

  • SEQUENTIAL CHANGE-POINT DETECTION IN GARCH(p,q) MODELS

    István Berkes;Edit Gombay;Lajos Horváth;Piotr Kokoszka

  • Parameter estimation for infinite variance fractional ARIMA

    Piotr S. Kokoszka;Murad S. Taqqu

  • Change-point in the mean of dependent observations

    Piotr Kokoszka;Remigijus Leipus

  • Testing the Equality of Covariance Operators in Functional Samples

    Stefan Fremdt;Josef G. Steinebach;Lajos Horváth;Piotr Kokoszka

  • Change-point monitoring in linear models

    Alexander Aue;Lajos Horváth;Marie Hušková;Piotr Kokoszka

  • Testing for long memory in the presence of a general trend

    Liudas Giraitis;Piotr Kokoszka;Remigijus Leipus

  • Testing for Changes in Multivariate Dependent Observations with an Application to Temperature Changes

    Lajos Horváth;Piotr Kokoszka;Josef Steinebach

  • Testing for parameter changes in ARCH models

    P. Kokoszka;R. Leipus;R. Leipus

Frequent Co-Authors

Lajos Horváth
Lajos Horváth University of Utah
Jan Josef Sojka
Jan Josef Sojka Utah State University
Murad S. Taqqu
Murad S. Taqqu Boston University
Liudas Giraitis
Liudas Giraitis Queen Mary University of London
Ričardas Zitikis
Ričardas Zitikis University of Western Ontario
Thomas Mikosch
Thomas Mikosch University of Copenhagen
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Frédéric Ferraty
Frédéric Ferraty University of Toulouse-Jean Jaurès
Byeong U. Park
Byeong U. Park Seoul National University
Dimitris N. Politis
Dimitris N. Politis University of California, San Diego

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