World's Best Scientists 2026 revealed!

D-Index & Metrics

Physics

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

Igor M. Sokolov publication distribution in Physics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Physics in 2026. The highlighted bar marks where Igor M. Sokolov sits on this spectrum.

103–122 publications: 7 scientists 123–142 publications: 10 scientists 143–162 publications: 31 scientists 163–182 publications: 35 scientists 183–202 publications: 53 scientists 203–222 publications: 81 scientists 223–242 publications: 85 scientists 243–262 publications: 112 scientists 263–282 publications: 114 scientists 283–302 publications: 126 scientists 303–322 publications: 136 scientists 323–342 publications: 162 scientists 343–362 publications: 155 scientists 363–382 publications: 156 scientists 383–402 publications: 134 scientists 403–422 publications: 145 scientists 423–442 publications: 147 scientists 443–462 publications: 131 scientists 463–482 publications: 131 scientists 483–502 publications: 116 scientists 503–522 publications: 106 scientists 523–542 publications: 103 scientists 543–562 publications: 87 scientists 563–582 publications: 84 scientists 583–602 publications: 94 scientists 603–622 publications: 70 scientists 623–642 publications: 76 scientists 643–662 publications: 60 scientists 663–682 publications: 54 scientists 683–702 publications: 60 scientists 703–722 publications: 48 scientists 723–742 publications: 64 scientists 743–762 publications: 48 scientists 763–782 publications: 37 scientists 783–802 publications: 43 scientists 803–822 publications: 34 scientists 823–842 publications: 36 scientists 843–862 publications: 32 scientists 863–882 publications: 32 scientists 883–902 publications: 31 scientists 903–922 publications: 25 scientists 923–942 publications: 15 scientists 943–962 publications: 24 scientists 963–982 publications: 13 scientists 983–1,002 publications: 21 scientists 1,003–1,022 publications: 21 scientists 1,023–1,042 publications: 16 scientists 1,043–1,062 publications: 9 scientists 1,063–1,082 publications: 19 scientists 1,083–1,102 publications: 11 scientists 1,103–1,122 publications: 17 scientists 1,123–1,142 publications: 11 scientists 1,143–1,162 publications: 7 scientists 1,163–1,182 publications: 4 scientists 1,183–1,202 publications: 10 scientists 1,203–1,222 publications: 8 scientists 1,223–1,242 publications: 16 scientists 1,243–1,262 publications: 4 scientists 1,263–1,282 publications: 10 scientists 1,283–1,302 publications: 5 scientists 1,303–1,322 publications: 7 scientists 1,323–1,342 publications: 4 scientists 1,343–1,362 publications: 8 scientists 1,363–1,382 publications: 6 scientists 1,383–1,402 publications: 7 scientists 1,403–1,422 publications: 3 scientists 1,423–1,442 publications: 4 scientists 1,443–1,462 publications: 4 scientists 1,463–1,468 publications: 3 scientists 1,469+ publications: 100 scientists
103 publications 1,469+

This scientist: 638 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,469 publications or more.

Igor M. Sokolov D-index placement in Physics in 2026

The chart shows the D-index (discipline H-index) distribution of Physics scientists ranked by Research.com in 2026. The highlighted bar marks where Igor M. Sokolov sits on this spectrum.

70–71 D-Index: 76 scientists 72–73 D-Index: 110 scientists 74–75 D-Index: 143 scientists 76–77 D-Index: 153 scientists 78–79 D-Index: 144 scientists 80–81 D-Index: 167 scientists 82–83 D-Index: 167 scientists 84–85 D-Index: 166 scientists 86–87 D-Index: 132 scientists 88–89 D-Index: 155 scientists 90–91 D-Index: 134 scientists 92–93 D-Index: 137 scientists 94–95 D-Index: 102 scientists 96–97 D-Index: 112 scientists 98–99 D-Index: 110 scientists 100–101 D-Index: 116 scientists 102–103 D-Index: 97 scientists 104–105 D-Index: 103 scientists 106–107 D-Index: 87 scientists 108–109 D-Index: 90 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 78 scientists 114–115 D-Index: 75 scientists 116–117 D-Index: 67 scientists 118–119 D-Index: 69 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 59 scientists 124–125 D-Index: 53 scientists 126–127 D-Index: 42 scientists 128–129 D-Index: 41 scientists 130–131 D-Index: 33 scientists 132–133 D-Index: 32 scientists 134–135 D-Index: 45 scientists 136–137 D-Index: 19 scientists 138–139 D-Index: 24 scientists 140–141 D-Index: 28 scientists 142–143 D-Index: 31 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 20 scientists 148–149 D-Index: 12 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 24 scientists 154–155 D-Index: 23 scientists 156–157 D-Index: 15 scientists 158–159 D-Index: 15 scientists 160–161 D-Index: 11 scientists 162–163 D-Index: 17 scientists 164–165 D-Index: 12 scientists 166–167 D-Index: 11 scientists 168–169 D-Index: 9 scientists 170–171 D-Index: 9 scientists 172–173 D-Index: 11 scientists 174–175 D-Index: 4 scientists 176–177 D-Index: 8 scientists 178–179 D-Index: 5 scientists 180–181 D-Index: 3 scientists 182–183 D-Index: 4 scientists 184 D-Index: 4 scientists 185+ D-Index: 99 scientists
70 D-Index 185+

This scientist: 84 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 185 D-Index or more.

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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