World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
51
Citations
8624
World Ranking
14034
National Ranking
7

Andrey Milchev publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Andrey Milchev sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 257 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Andrey Milchev D-index placement in Chemistry in 2026

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

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 51 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Andrey Milchev is affiliated with the Bulgarian Academy of Sciences in Bulgaria and focuses their research primarily within the field of Materials Science. Their work encompasses various subfields including Materials Chemistry, Surfaces, Coatings and Films, Organic Chemistry, Electronic, Optical and Magnetic Materials, and Condensed Matter Physics.

Themes central to Milchev's research include Material Dynamics and Properties, Surfactants and Colloidal Systems, Polymer Surface Interaction Studies, Liquid Crystal Research Advancements, Surface Modification and Superhydrophobicity, Micro and Nano Robotics, and Rheology and Fluid Dynamics Studies.

Milchev has contributed to several peer-reviewed publications, with recent papers spanning from 2020 to 2023. Notable papers include:

  • How does stiffness of polymer chains affect their adsorption transition? (2020) in The Journal of Chemical Physics
  • Understanding the properties of liquid-crystalline polymers by computational modeling (2020) in Journal of Physics Materials
  • Phase Separation and Nematic Order in Lyotropic Solutions: Two Types of Polymers with Different Stiffnesses in a Common Solvent (2021) in The Journal of Physical Chemistry B
  • Rugotaxis: Droplet motion without external energy supply (2022) in Europhysics Letters (EPL)
  • Unidirectional Droplet Propulsion onto Gradient Brushes without External Energy Supply (2023) in Langmuir

Their frequent co-authors include Kurt Binder, S. A. Egorov, Arash Nikoubashman, Panagiotis E. Theodorakis, and Russell Kajouri. These collaborations illustrate a consistent engagement with experts in polymer science and related interdisciplinary research areas.

Milchev's work has appeared across several key scientific journals, particularly in:

  • Langmuir
  • The Journal of Chemical Physics
  • UNC Libraries
  • Europhysics Letters (EPL)
  • Polymers

Best Publications

  • Capillary rise in nanopores: molecular dynamics evidence for the Lucas-Washburn equation.

    D. I. Dimitrov;A. Milchev;A. Milchev;K. Binder

  • Effect of disorder on diffusion and viscosity in condensed systems

    I. Avramov;A. Milchev

  • Polymer brushes on flat and curved surfaces: How computer simulations can help to test theories and to interpret experiments

    K. Binder;A. Milchev;A. Milchev

  • Atomistic theory of electrolytic nucleation: I

    A. Milchev;S. Stoyanov;R. Kaischev

  • Static and Dynamic Properties of Adsorbed Chains at Surfaces: Monte Carlo Simulation of a Bead-Spring Model

    Andrey Milchev;Kurt Binder

  • Off‐lattice Monte Carlo simulation of dilute and concentrated polymer solutions under theta conditions

    Andrey Milchev;Wolfgang Paul;Kurt Binder

  • Single-polymer dynamics under constraints: scaling theory and computer experiment

    Andrey Milchev

  • Polymer translocation through a nanopore induced by adsorption: Monte Carlo simulation of a coarse-grained model

    Andrey Milchev;Kurt Binder;Aniket Bhattacharya

  • Formation of Block Copolymer Micelles in Solution: A Monte Carlo Study of Chain Length Dependence

    Andrey Milchev;Aniket Bhattacharya;Kurt Binder

  • Polymer brushes in solvents of variable quality: molecular dynamics simulations using explicit solvent.

    D. I. Dimitrov;A. Milchev;K. Binder

  • A new off‐lattice Monte Carlo model for polymers: A comparison of static and dynamic properties with the bond‐fluctuation model and application to random media

    Ivo Gerroff;Andrey Milchev;Kurt Binder;Wolfgang Paul

  • Driven polymer translocation through a nanopore: A manifestation of anomalous diffusion

    J. L. A. Dubbeldam;A. Milchev;V. G. Rostiashvili;Thomas A. Vilgis

  • Dynamical Monte Carlo study of equilibrium polymers: Static properties

    J. P. Wittmer;A. Milchev;M. E. Cates

  • Polymer brushes under flow and in other out-of-equilibrium conditions

    Kurt Binder;Torsten Kreer;Andrey Milchev

  • SIMULATION STUDIES ON THE DYNAMICS OF POLYMERS AT INTERFACES

    K Binder;and A Milchev;J Baschnagel

  • A polymer chain trapped between two parallel repulsive walls: A Monte-Carlo test of scaling behavior

    A. Milchev;K. Binder

  • Spherical polymer brushes under good solvent conditions: Molecular dynamics results compared to density functional theory

    Federica Lo Verso;Sergei A. Egorov;Andrey Milchev;Kurt Binder

  • Polymer brushes in cylindrical pores: Simulation versus scaling theory

    D. I. Dimitrov;A. Milchev;K. Binder

  • Scaling exponents of forced polymer translocation through a nanopore

    Aniket Bhattacharya;William H. Morrison;Kaifu Luo;Tapio Ala-Nissilä;Tapio Ala-Nissilä

  • Semidilute and Concentrated Polymer Solutions near Attractive Walls: Dynamic Monte Carlo Simulation of Density and Pressure Profiles of a Coarse-Grained Model

    Ras B. Pandey;and Andrey Milchev;Kurt Binder

  • Polymer chains confined into tubes with attractive walls: A Monte Carlo simulation

    Andrey Milchev;Wolfgang Paul;Kurt Binder

  • Dewetting of thin polymer films adsorbed on solid substrates: A Monte Carlo simulation of the early stages

    Andrey Milchev;Kurt Binder

Frequent Co-Authors

Kurt Binder
Kurt Binder Johannes Gutenberg University of Mainz
Marcus Müller
Marcus Müller University of Göttingen
Sauro Succi
Sauro Succi Italian Institute of Technology
Michael E. Cates
Michael E. Cates University of Cambridge
Wolfgang Paul
Wolfgang Paul Martin Luther University Halle-Wittenberg
Tapio Ala-Nissila
Tapio Ala-Nissila Aalto University
Dario Pisignano
Dario Pisignano University of Pisa
W.J. Lorenz
W.J. Lorenz Karlsruhe Institute of Technology
Dimo Kashchiev
Dimo Kashchiev Bulgarian Academy of Sciences
Christos N. Likos
Christos N. Likos University of Vienna

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