World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
21696
World Ranking
1410
National Ranking
34

Engineering and Technology

D-Index
45
Citations
21647
World Ranking
5323
National Ranking
275

Dirk P. Kroese 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 Dirk P. Kroese 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: 183 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Dirk P. Kroese 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 Dirk P. Kroese 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: 45 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Dirk P. Kroese is affiliated with the University of Queensland in Australia and has contributed extensively to the fields of computer science and mathematics. Their research spans several subfields, including artificial intelligence, statistics and probability, electrical and electronic engineering, management science and operations research, and numerical analysis.

The main topics of their work cover:

  • Machine Learning and Algorithms
  • Bayesian Modeling and Causal Inference
  • Bayesian Methods and Mixture Models
  • Reinforcement Learning in Robotics
  • Markov Chains and Monte Carlo Methods
  • Statistical Methods and Inference
  • Machine Learning and Data Classification

Kroese has authored multiple recent research papers in diverse and impactful venues. Selected publications include:

  • Chromosome arm aneuploidies shape tumour evolution and drug response, 2020, Nature Communications
  • Unbiased and consistent nested sampling via sequential Monte Carlo, 2025, Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Current Harmonics Generated by Multiple Adjustable-Speed Drives in Distribution Networks in the Frequency Range of 2-9 kHz, 2022, IEEE Transactions on Industry Applications
  • Detailed Estimation of Grid-Side Current and Its Oscillations Caused by Adjustable Speed Drive Systems, 2022, IEEE Transactions on Industrial Electronics
  • Model-based offline reinforcement learning for sustainable fishery management, 2023, Expert Systems

Frequently published venues include:

  • arXiv (Cornell University)
  • Nature Communications
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • IEEE Transactions on Industry Applications
  • IEEE Transactions on Industrial Electronics

The scientist's frequent coauthors include Joshua C. C. Chan, Hanna Kurniawati, Nan Ye, Marcus Hoerger, and Sarat Moka, reflecting collaborations across various research topics and projects.

In addition to articles, Dirk P. Kroese has contributed to academic publishing with a book titled Statistical Modeling and Computation, published by Springer International Publishing in 2025. This book adds to their scholarly output and engagement with the research community.

Best Publications

  • Simulation and the Monte Carlo Method

    R. Y. Rubinstein;D. P. Kroese

  • A Tutorial on the Cross-Entropy Method

    Pieter-Tjerk de Boer;Dirk P. Kroese;Shie Mannor;Reuven Y. Rubinstein

  • Kernel density estimation via diffusion

    Z. I. Botev;J. F. Grotowski;D. P. Kroese

  • The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning

    Reuven Y. Rubinstein;Dirk P. Kroese

  • Handbook of Monte Carlo Methods

    Dirk P. Kroese;Thomas Taimre;Zdravko I. Botev

  • Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)

    Reuven Y. Rubinstein;Dirk P. Kroese

  • Why the Monte Carlo method is so important today

    Dirk P. Kroese;Tim Brereton;Thomas Taimre;Zdravko I. Botev

  • The Cross Entropy Method: A Unified Approach To Combinatorial Optimization, Monte-carlo Simulation (Information Science and Statistics)

    Reuven Y. Rubinstein;Dirk P. Kroese

  • The Cross-Entropy Method for Continuous Multi-Extremal Optimization

    Dirk P. Kroese;Sergey Porotsky;Reuven Y. Rubinstein

  • The Cross‐Entropy Method

    Reuven Y. Rubinstein;Dirk P. Kroese

  • Application of the Cross-Entropy Method to the Buffer Allocation Problem in a Simulation-Based Environment

    G. Alon;Dirk P. Kroese;Tal Raviv;Reuven Y. Rubinstein

  • Improved algorithms for rare event simulation with heavy tails

    Søren Asmussen;Dirk P. Kroese

  • Monte Carlo methods

    Dirk P. Kroese;Reuven Y. Rubinstein

  • Convergence properties of the cross-entropy method for discrete optimization

    Andre Costa;Owen Dafydd Jones;Dirk Kroese

  • Efficient Monte Carlo simulation via the generalized splitting method

    Zdravko I. Botev;Dirk P. Kroese

  • The Cross-Entropy Method for Estimation

    Dirk P. Kroese;Reuven Y. Rubinstein;Peter W. Glynn

  • Chapter 3 – The Cross-Entropy Method for Optimization

    Zdravko I. Botev;Dirk P. Kroese;Reuven Y. Rubinstein;Pierre L’Ecuyer

  • The Cross-Entropy Method for Network Reliability Estimation

    Kin-Ping Hui;Nigel G. Bean;Miro Kraetzl;Dirk P. Kroese

  • Spatial Process Simulation

    Dirk P. Kroese;Zdravko I. Botev

  • An Efficient Algorithm for Rare-event Probability Estimation, Combinatorial Optimization, and Counting

    Zdravko I. Botev;Dirk P. Kroese

Frequent Co-Authors

Reuven Y. Rubinstein
Reuven Y. Rubinstein Technion – Israel Institute of Technology
Volker Schmidt
Volker Schmidt University of Ulm
Pierre L'Ecuyer
Pierre L'Ecuyer University of Montreal
Søren Asmussen
Søren Asmussen Aarhus University
Peter G. Taylor
Peter G. Taylor University of Melbourne
Shie Mannor
Shie Mannor Technion – Israel Institute of Technology
Peter W. Glynn
Peter W. Glynn Stanford University
Denis Andrienko
Denis Andrienko Max Planck Society
Ingo Manke
Ingo Manke Helmholtz-Zentrum Berlin für Materialien und Energie
René A. J. Janssen
René A. J. Janssen Eindhoven University of Technology

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