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Mikhail Prokopenko

Mikhail Prokopenko

D-Index & Metrics

Computer Science

D-Index
40
Citations
6681
World Ranking
9316
National Ranking
286

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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