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Physics

D-Index
84
Citations
26828
World Ranking
2674
National Ranking
1318

Overview

Igor M. Sokolov is affiliated with Tufts University in the United States and specializes in the field of Physics and Astronomy, contributing significantly to the understanding of complex physical systems through theoretical and computational approaches.

The research primarily focuses on several interconnected subfields, including:

  • Statistical and Nonlinear Physics
  • Atomic and Molecular Physics, and Optics
  • Molecular Biology
  • Modeling and Simulation
  • Materials Chemistry

The scientist's work covers key topics such as:

  • Stochastic dynamics and bifurcation
  • Diffusion and Search Dynamics
  • Fractional Differential Equations Solutions
  • Theoretical and Computational Physics
  • Nonlinear Dynamics and Pattern Formation
  • Material Dynamics and Properties
  • Complex Network Analysis Techniques

Igor M. Sokolov has published extensively in several scientific venues, with notable frequency in:

  • Physical review. E
  • arXiv (Cornell University)
  • Physical Review Letters
  • New Journal of Physics
  • Journal of Physics A Mathematical and Theoretical

The following recent papers exemplify the diversity and depth of this scientist's research:

  • "Modeling Echo Chambers and Polarization Dynamics in Social Networks," 2020, Physical Review Letters
  • "Resetting processes with noninstantaneous return," 2020, Physical review. E
  • "Time averaging and emerging nonergodicity upon resetting of fractional Brownian motion and heterogeneous diffusion processes," 2021, Physical review. E
  • "Emergence of Polarized Ideological Opinions in Multidimensional Topic Spaces," 2021, Physical Review X
  • "Nonergodicity of reset geometric Brownian motion," 2022, Physical review. E

Frequent collaboration partners include researchers with whom Igor M. Sokolov has extensively worked, among them:

  • Ralf Metzler
  • Andrey G. Cherstvy
  • Adrian Pacheco-Pozo
  • Aleksei V. Chechkin
  • Wei Wang

The body of work produced contributes to the advancement of understanding in stochastic processes, nonlinear phenomena, and their applications in physics and beyond.

Best Publications

  • Anomalous transport : foundations and applications

    Rainer Klages;G. Radons;Igor M. Sokolov

  • First steps in random walks : from tools to applications

    J. Klafter;Igor M. Sokolov

  • Models of anomalous diffusion in crowded environments

    Igor M. Sokolov

  • From diffusion to anomalous diffusion: A century after Einstein’s Brownian motion

    I. M. Sokolov;J. Klafter

  • Retarding subdiffusion and accelerating superdiffusion governed by distributed-order fractional diffusion equations.

    A. V. Chechkin;R. Gorenflo;I. M. Sokolov;I. M. Sokolov

  • Anomalous diffusion spreads its wings

    Joseph Klafter;Igor M Sokolov

  • Brownian yet Non-Gaussian Diffusion: From Superstatistics to Subordination of Diffusing Diffusivities

    Aleksei V. Chechkin;Aleksei V. Chechkin;Flavio Seno;Ralf Metzler;Igor M. Sokolov

  • Nonergodicity mimics inhomogeneity in single particle tracking.

    Ariel Lubelski;Igor M. Sokolov;Joseph Klafter

  • Atomic force microscopy detects differences in the surface brush of normal and cancerous cells.

    S. Iyer;R. M. Gaikwad;V. Subba-Rao;V. Subba-Rao;C. D. Woodworth

  • Quantum algorithms for electronic structure calculations: Particle-hole Hamiltonian and optimized wave-function expansions

    Panagiotis Kl. Barkoutsos;Panagiotis Kl. Barkoutsos;Jerome F. Gonthier;Igor Sokolov;Igor Sokolov;Nikolaj Moll

  • Fractional diffusion in inhomogeneous media

    A V Chechkin;R Gorenflo;I M Sokolov

  • Modeling Echo Chambers and Polarization Dynamics in Social Networks

    Fabian Baumann;Philipp Lorenz-Spreen;Igor M. Sokolov;Michele Starnini

  • If Cell Mechanics Can Be Described by Elastic Modulus: Study of Different Models and Probes Used in Indentation Experiments

    Nataliia Guz;Maxim Dokukin;Vivekanand Kalaparthi;Igor Sokolov

  • Reshuffling scale-free networks: from random to assortative.

    R. Xulvi-Brunet;I. M. Sokolov

  • A toolbox for determining subdiffusive mechanisms

    Yasmine Meroz;Igor M. Sokolov

  • Distributed-Order Fractional Kinetics

    I. M. Sokolov;A. V. Chechkin;J. Klafter

  • Statistical Thermodynamics and Stochastic Theory of Nonequilibrium Systems

    Werner Ebeling;Igor M. Sokolov

  • Anomalous transport in external fields: Continuous time random walks and fractional diffusion equations extended

    Ralf Metzler;Joseph Klafter;Igor M. Sokolov

  • Enzyme-functionalized mesoporous silica for bioanalytical applications

    Cristina Ispas;Igor Sokolov;Silvana Andreescu

  • Absence of Anderson localization of light in a random ensemble of point scatterers.

    Sergey E. Skipetrov;Igor Sokolov

Frequent Co-Authors

Ralf Metzler
Ralf Metzler University of Potsdam
Joseph Klafter
Joseph Klafter Tel Aviv University
Werner Ebeling
Werner Ebeling Humboldt-Universität zu Berlin
Jürgen P. Rabe
Jürgen P. Rabe Humboldt-Universität zu Berlin
Geoffrey A. Ozin
Geoffrey A. Ozin University of Toronto
Neil Coombs
Neil Coombs University of Toronto
Hong Yang
Hong Yang University of Illinois at Urbana-Champaign
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Jeremy C. Smith
Jeremy C. Smith University of Tennessee at Knoxville
Vera Bocharova
Vera Bocharova Oak Ridge National Laboratory

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