World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
51
Citations
11648
World Ranking
1016
National Ranking
469

Engineering and Technology

D-Index
54
Citations
12809
World Ranking
3140
National Ranking
933

Overview

Michael Chertkov is affiliated with the University of Arizona in the United States. Their research primarily spans the field of Engineering, with a particular focus on Electrical and Electronic Engineering, Computational Mechanics, Statistical and Nonlinear Physics, Artificial Intelligence, and Computer Vision and Pattern Recognition.

Their scientific work covers a range of topics, notably Model Reduction and Neural Networks, Fluid Dynamics and Turbulent Flows, Power System Optimization and Stability, Smart Grid Energy Management, Optimal Power Flow Distribution, Fluid Dynamics and Vibration Analysis, and Integrated Energy Systems Optimization.

Several recent papers highlight their contributions to these areas. Notable publications include:

  • Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations (2020), published in IEEE Transactions on Smart Grid
  • Spatio-temporal deep learning models of 3D turbulence with physics informed diagnostics (2020), published in Journal of Turbulence
  • Embedding Hard Physical Constraints in Neural Network Coarse-Graining of 3D Turbulence (2020), published in arXiv (Cornell University)
  • A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications (2020), published in Proceedings of the IEEE

Michael Chertkov has frequently collaborated with several coauthors. These include:

  • Daniel Livescu
  • Laurent Pagnier
  • Deepjyoti Deka
  • Yifeng Tian
  • Criston Hyett

Their publications appear with higher frequency in venues such as arXiv (Cornell University), Physical Review Fluids, Proceedings of the IEEE, IEEE Access, and Physical Review E.

In addition to journal articles, Michael Chertkov has contributed to book publications, with a recent example titled Principles and Methods of Applied Mathematics, published by World Scientific in 2024.

Best Publications

  • Synchronization in complex oscillator networks and smart grids

    Florian Dörfler;Michael Chertkov;Francesco Bullo

  • Options for Control of Reactive Power by Distributed Photovoltaic Generators

    Konstantin Turitsyn;Petr Sulc;Scott Backhaus;Michael Chertkov

  • Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty ∗

    Daniel Bienstock;Michael Chertkov;Sean Harnett

  • Options for Control of Reactive Power by Distributed Photovoltaic Generators

    Petr Sulc;Konstantin Turitsyn;Scott Backhaus;Michael Chertkov

  • Coordinated Scheduling for Interdependent Electric Power and Natural Gas Infrastructures

    Anatoly Zlotnik;Line Roald;Scott Backhaus;Michael Chertkov

  • Optimal Distributed Control of Reactive Power Via the Alternating Direction Method of Multipliers

    Petr Šulc;Scott Backhaus;Michael Chertkov

  • Normal and anomalous scaling of the fourth-order correlation function of a randomly advected passive scalar.

    M. Chertkov;G. Falkovich;I. Kolokolov;V. Lebedev

  • Lagrangian tetrad dynamics and the phenomenology of turbulence

    Michael Chertkov;Alain Pumir;Boris I. Shraiman

  • Sparsity-Promoting Optimal Wide-Area Control of Power Networks

    Florian Dorfler;Mihailo R. Jovanovic;Michael Chertkov;Francesco Bullo

  • Distributed control of reactive power flow in a radial distribution circuit with high photovoltaic penetration

    Konstantin Turitsyn;Petr Sulc;Scott Backhaus;Michael Chertkov

  • Structure Learning in Power Distribution Networks

    Deepjyoti Deka;Scott Backhaus;Michael Chertkov

  • Towards future infrastructures for sustainable multi-energy systems: a review

    Elisa Guelpa;Aldo Bischi;Vittorio Verda;Michael Chertkov;Michael Chertkov

  • Local Control of Reactive Power by Distributed Photovoltaic Generators

    Konstantin Turitsyn;Petr Sulc;Scott Backhaus;Michael Chertkov

  • Path-integral analysis of fluctuation theorems for general Langevin processes

    Vladimir Y Chernyak;Michael Chertkov;Christopher Jarzynski

  • Dynamics of Energy Condensation in Two-Dimensional Turbulence

    M. Chertkov;C. Connaughton;I. Kolokolov;I. Kolokolov;V. Lebedev;V. Lebedev

  • Loop series for discrete statistical models on graphs

    Michael Chertkov;Vladimir Y Chernyak

  • Anomalous scaling exponents of a white-advected passive scalar.

    M. Chertkov;G. Falkovich

  • Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks

    Wenting Li;Deepjyoti Deka;Michael Chertkov;Meng Wang

  • Statistics of a passive scalar advected by a large-scale two-dimensional velocity field: Analytic solution

    M. Chertkov;G. Falkovich;I. Kolokolov;V. Lebedev

  • Irreversible Monte Carlo algorithms for efficient sampling

    Konstantin S. Turitsyn;Konstantin S. Turitsyn;Michael Chertkov;Michael Chertkov;Marija Vucelja;Marija Vucelja

  • Fourth-order correlation function of a randomly advected passive scalar

    E. Balkovsky;M. Chertkov;I. Kolokolov;V. Lebedev

Frequent Co-Authors

Scott Backhaus
Scott Backhaus Los Alamos National Laboratory
Jinwoo Shin
Jinwoo Shin Korea Advanced Institute of Science and Technology
Yury Dvorkin
Yury Dvorkin New York University
Bane Vasic
Bane Vasic University of Arizona
Hilbert J. Kappen
Hilbert J. Kappen Radboud University
Daniel Bienstock
Daniel Bienstock Columbia University
Russell Bent
Russell Bent Los Alamos National Laboratory
Steven H. Low
Steven H. Low California Institute of Technology

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