World's Best Scientists 2026 revealed!
Mikhail Prokopenko

Mikhail Prokopenko

D-Index & Metrics

Computer Science

D-Index
40
Citations
6681
World Ranking
9315
National Ranking
286

Mikhail Prokopenko publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Mikhail Prokopenko sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Mikhail Prokopenko D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Mikhail Prokopenko sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 40 D-Index — 37th percentile

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

The last bar groups every scientist with 131 D-Index or more.

Overview

Mikhail Prokopenko is affiliated with the University of Sydney in Australia and has contributed extensively to the field of Medicine, with a focus on modeling, epidemiology, and infectious diseases. Their research encompasses multiple subfields including Modeling and Simulation, Economics and Econometrics, Statistical and Nonlinear Physics, Infectious Diseases, and Genetics.

The scientist's work addresses several main topics, notably:

  • COVID-19 epidemiological studies
  • SARS-CoV-2 and COVID-19 Research
  • Evolution and Genetic Dynamics
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Complex Network Analysis Techniques
  • Complex Systems and Time Series Analysis
  • COVID-19 diagnosis using AI

Mikhail Prokopenko has collaborated frequently with several coauthors, including:

  • Sheryl L. Chang
  • Quang Dang Nguyen
  • Tania C. Sorrell
  • Vitali Sintchenko
  • Oliver M. Cliff

The scientist has published numerous papers in notable venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Royal Society Open Science
  • Scientific Reports
  • PLoS Computational Biology

Representative recent papers authored or coauthored by Mikhail Prokopenko include:

  • "Revealing COVID-19 transmission in Australia by SARS-CoV-2 genome sequencing and agent-based modeling," 2020, Nature Medicine
  • "Global socio-economic losses and environmental gains from the Coronavirus pandemic," 2020, PLoS ONE
  • "Game theoretic modelling of infectious disease dynamics and intervention methods: a review," 2020, Journal of Biological Dynamics
  • "Impacts of climate change and extreme weather on food supply chains cascade across sectors and regions in Australia," 2022, Nature Food
  • "Revealing COVID-19 Transmission by SARS-CoV-2 Genome Sequencing and Agent Based Modelling," 2020, bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • An information-theoretic primer on complexity, self-organization, and emergence

    Mikhail Prokopenko;Fabio Boschetti;Alex J. Ryan

  • Local information transfer as a spatiotemporal filter for complex systems.

    Joseph T. Lizier;Joseph T. Lizier;Mikhail Prokopenko;Albert Y. Zomaya

  • Differentiating information transfer and causal effect

    Joseph T. Lizier;Joseph T. Lizier;Mikhail Prokopenko;Mikhail Prokopenko

  • Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity

    Joseph T. Lizier;Jakob Heinzle;Annette Horstmann;John-Dylan Haynes

  • Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks

    Mahendra Piraveenan;Mikhail Prokopenko;Mikhail Prokopenko;Liaquat Hossain

  • Local measures of information storage in complex distributed computation

    Joseph T. Lizier;Mikhail Prokopenko;Albert Y. Zomaya

  • Game theoretic modelling of infectious disease dynamics and intervention methods: a review.

    Sheryl L. Chang;Mahendra Piraveenan;Philippa Pattison;Mikhail Prokopenko

  • Information modification and particle collisions in distributed computation.

    Joseph T. Lizier;Mikhail Prokopenko;Albert Y. Zomaya

  • Relating Fisher information to order parameters.

    Mikhail Prokopenko;Joseph T. Lizier;Oliver Obst;X. Rosalind Wang

  • Evolving spatiotemporal coordination in a modular robotic system

    Mikhail Prokopenko;Vadim Gerasimov;Ivan Tanev

  • Assortative Mixing in Directed Biological Networks

    Mahendra Piraveenan;Mikhail Prokopenko;Albert Zomaya

  • Local assortativeness in scale-free networks

    M. Piraveenan;M. Piraveenan;M. Prokopenko;A. Y. Zomaya

  • Guided self-organization.

    Mikhail Prokopenko

  • Quantifying and tracing information cascades in swarms.

    X. Rosalind Wang;Jennifer M. Miller;Joseph T. Lizier;Joseph T. Lizier;Mikhail Prokopenko

  • Spatiotemporal anomaly detection in gas monitoring sensor networks

    X. Rosalind Wang;Joseph T. Lizier;Oliver Obst;Mikhail Prokopenko

  • Information dynamics in small-world boolean networks

    Joseph T. Lizier;Siddharth Pritam;Mikhail Prokopenko

  • Guided Self-Organization: Inception

    Mikhail Prokopenko

  • The information dynamics of phase transitions in random boolean networks

    Joseph T. Lizier;Joseph T. Lizier;Mikhail Prokopenko;Albert Y. Zomaya

  • A framework for the local information dynamics of distributed computation in complex systems

    Joseph T. Lizier;Joseph T. Lizier;Mikhail Prokopenko;Mikhail Prokopenko;Mikhail Prokopenko;Albert Y. Zomaya

  • Transfer entropy and transient limits of computation.

    Mikhail Prokopenko;Mikhail Prokopenko;Mikhail Prokopenko;Joseph T. Lizier

  • Information and Self-Organization: A Macroscopic Approach to Complex Systems , (3rd enlarged ed.). H. Haken. (2006, Springer.) €79.95 (hardcover), 262 pages. ISBN: 978-3-540-33021-9

    Mikhail Prokopenko

Frequent Co-Authors

Joseph T. Lizier
Joseph T. Lizier University of Sydney
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Tania C. Sorrell
Tania C. Sorrell University of Sydney
Hugh Durrant-Whyte
Hugh Durrant-Whyte University of Sydney
Dominic E. Dwyer
Dominic E. Dwyer University of Sydney
Vitali Sintchenko
Vitali Sintchenko University of Sydney
John-Dylan Haynes
John-Dylan Haynes Charité - University Medicine Berlin
Sharon C.-A. Chen
Sharon C.-A. Chen Westmead Hospital
Andrew Adamatzky
Andrew Adamatzky University of the West of England
Mark Johnson
Mark Johnson Macquarie University

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