World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
32179
World Ranking
2417
National Ranking
744

M. Y. Hussaini publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where M. Y. Hussaini sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 283 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

M. Y. Hussaini D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where M. Y. Hussaini sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

M. Y. Hussaini is affiliated with Florida State University in the United States, contributing extensively to the field of Engineering, particularly in Computational Mechanics. Their research spans a variety of specialized domains, including Environmental Engineering, Agronomy and Crop Science, Infectious Diseases, and Aerospace Engineering.

They have published numerous scientific articles, with a focus on themes such as Fluid Dynamics and Turbulent Flows, Probabilistic and Robust Engineering Design, and Animal Disease Management and Epidemiology. Additional topics of interest include Wind and Air Flow Studies, Lattice Boltzmann Simulation Studies, Evolution and Genetic Dynamics, and Aerodynamics and Acoustics in Jet Flows.

Their recent published papers include:

  • "Colloidal detachment from solid surfaces: Phase diagrams to determine the detachment regime," 2020, Chemical Engineering Science
  • "Mixed aleatory and epistemic uncertainty propagation using Dempster-Shafer theory," 2023, Journal of Computational and Applied Mathematics
  • "Wavelet-based adaptive wall-modeled large eddy simulation method for compressible turbulent flows," 2021, Physical Review Fluids
  • "Novel nafion-palygorskite composite for Pb/Lead treatment," 2024, International Journal of Environmental Science and Technology
  • "Wavelet-Based Adaptive Eddy-Resolving Methods for Modeling and Simulation of Complex Wall-Bounded Compressible Turbulent Flows," 2021, Fluids

Frequent coauthors collaborating with M. Y. Hussaini include:

  • N. G. Cogan
  • Kalpana Hanthanan Arachchilage
  • Xuan Ge
  • Oleg V. Vasilyev
  • Mehdi Vahab

Their work is also distributed across various publication venues, with notable contributions to:

  • Nigerian Journal of Animal Production
  • International Journal of Systems Engineering
  • Bioinformation
  • Chemical Engineering Science
  • Journal of Computational and Applied Mathematics

Best Publications

  • Spectral Methods in Fluid Dynamics

    M. Y. Hussaini;T. A. Zang

  • Spectral Methods: Fundamentals in Single Domains

    Claudio Canuto;M.Y. Hussaini;A. Quarteroni;T.A. Zang

  • A comparative study of computational methods in cosmic gas dynamics

    G.D. van Albada;B. van Leer;Jr.W.W. Roberts;M.Y. Hussaini

  • Toward the large-eddy simulation of compressible turbulent flows

    G. Erlebacher;M. Y. Hussaini;C. G. Speziale;T. A. Zang

  • Spectral Methods: Evolution to Complex Geometries and Applications to Fluid Dynamics

    Claudio Canuto;M. Y. Hussaini;A. Quarteroni;T. A. Zang

  • Low-Dissipation and Low-Dispersion Runge-Kutta Schemes for Computational Acoustics

    F.Q. Hu;M.Y. Hussaini;J.L. Manthey

  • The analysis and modelling of dilatational terms in compressible turbulence

    S. Sarkar;G. Erlebacher;M. Y. Hussaini;H. O. Kreiss

  • The analysis and modeling of dilatational terms in compressible turbulence

    S. Sarkar;G. Erlebacher;M. Y. Hussaini;H. O. Kreiss

  • Enhancement of thermal and electrical properties of carbon nanotube polymer composites by magnetic field processing

    E. S. Choi;J. S. Brooks;D. L. Eaton;M. S. Al-Haik

  • A sharp interface method for incompressible two-phase flows

    M. Sussman;K. M. Smith;M. Y. Hussaini;M. Ohta

  • An Analysis of the Discontinuous Galerkin Method for Wave Propagation Problems

    Fang Q. Hu;M.Y. Hussaini;Patrick Rasetarinera

  • Spectral Methods for Partial Differential Equations

    M. Y. Hussaini;C. L. Streett;T. A. Zang

  • Compressible stability of growing boundary layers using parabolized stability equations

    Chau-Lyan Chang;Mujeeb R. Malik;Gordon Erlebacher;M. Y. Hussaini

  • Polymer‐Mediated Alignment of Carbon Nanotubes under High Magnetic Fields

    H. Garmestani;M.S. Al-Haik;K. Dahmen;R. Tannenbaum

  • The subgrid‐scale modeling of compressible turbulence

    C. G. Speziale;G. Erlebacher;T. A. Zang;M. Y. Hussaini

  • Computation of electromagnetic scattering with a non‐conforming discontinuous spectral element method

    David A. Kopriva;Stephen L. Woodruff;M. Y. Hussaini

  • The analysis and simulation of compressible turbulence

    Gordon Erlebacher;M. Y. Hussaini;H. O. Kreiss;S. Sarkar

  • Prediction of nonlinear viscoelastic behavior of polymeric composites using an artificial neural network

    M.S. Al-Haik;M.Y. Hussaini;H. Garmestani

  • Second-Order Accurate Explicit Finite-Difference Schemes for Waterhammer Analysis

    M. H. Chaudhry;M. Y. Hussaini

  • Lagrangian-Eulerian advection of noise and dye textures for unsteady flow visualization

    B. Jobard;G. Erlebacher;M.Y. Hussaini

  • An efficient implicit discontinuous spectral Galerkin method

    Patrick Rasetarinera;M. Y. Hussaini

Frequent Co-Authors

Thomas L. Jackson
Thomas L. Jackson University of Florida
Charles G. Speziale
Charles G. Speziale Boston University
Hamid Garmestani
Hamid Garmestani Georgia Institute of Technology
Sutanu Sarkar
Sutanu Sarkar University of California, San Diego
Dongsheng Li
Dongsheng Li Pacific Northwest National Laboratory
Heinz-Otto Kreiss
Heinz-Otto Kreiss Royal Institute of Technology
Ugo Piomelli
Ugo Piomelli Queen's University
Alfio Quarteroni
Alfio Quarteroni Polytechnic University of Milan
Kevin J. Malloy
Kevin J. Malloy University of New Mexico

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