World's Best Scientists 2026 revealed!
Sharath S. Girimaji

Sharath S. Girimaji

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
8400
World Ranking
5761
National Ranking
1609

Sharath S. Girimaji 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 Sharath S. Girimaji 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: 339 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Sharath S. Girimaji 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 Sharath S. Girimaji 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: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Sharath S. Girimaji is affiliated with Texas A&M University in the United States. Their research chiefly spans the field of engineering, with significant contributions to computational mechanics, aerospace engineering, environmental engineering, statistical and nonlinear physics, and applied mathematics.

The scientist's work concentrates on several main topics, including:

  • Fluid Dynamics and Turbulent Flows
  • Wind and Air Flow Studies
  • Computational Fluid Dynamics and Aerodynamics
  • Fluid Dynamics and Vibration Analysis
  • Model Reduction and Neural Networks
  • Gas Dynamics and Kinetic Theory
  • Plasma and Flow Control in Aerodynamics

Sharath S. Girimaji has authored multiple papers across respected scientific venues. Recent papers include:

  • "Characterization of coherent structures in turbulent wake of a sphere using partially averaged Navier-Stokes (PANS) simulations" (2020) in Physics of Fluids
  • "Toward Predictive RANS and SRS Computations of Turbulent External Flows of Practical Interest" (2021) in Archives of Computational Methods in Engineering
  • "Turbulence closure modeling with data-driven techniques: Investigation of generalizable deep neural networks" (2021) in arXiv (Cornell University)
  • "Turbulence closure modeling with machine learning: a foundational physics perspective" (2024) in New Journal of Physics
  • "Modeling and simulation of transitional Taylor-Green vortex flow with partially averaged Navier-Stokes equations" (2021) in Physical Review Fluids

The scientist frequently publishes in the following journals:

  • Physics of Fluids
  • Journal of Fluid Mechanics
  • arXiv (Cornell University)
  • Physical Review Fluids
  • Physical review. E

Collaborations are a notable aspect of Sharath S. Girimaji's work. Frequent co-authors include:

  • Filipe S. Pereira
  • Freddie Witherden
  • Fernando F. Grinstein
  • Daniel Israel
  • R. M. Rauenzahn

The breadth of Sharath S. Girimaji's research demonstrates a comprehensive engagement with both theoretical and applied fluid dynamics, with a specific emphasis on turbulence modeling and computational techniques enhanced by data-driven methods and machine learning approaches.

Best Publications

  • Partially-Averaged Navier-Stokes Model for Turbulence: A Reynolds-Averaged Navier-Stokes to Direct Numerical Simulation Bridging Method

    Sharath S. Girimaji

  • Assumed β-pdf Model for Turbulent Mixing: Validation and Extension to Multiple Scalar Mixing

    S. S. Girimaji

  • DNS and LES of decaying isotropic turbulence with and without frame rotation using lattice Boltzmann method

    Huidan Yu;Sharath S. Girimaji;Li-Shi Luo

  • Material-element deformation in isotropic turbulence

    S. S. Girimaji;S. B. Pope

  • Partially-averaged Navier Stokes Model for Turbulence: Implementation and Validation

    Sharath S. Girimaji;Khaled S. Abdol-Hamid

  • Theory of the lattice Boltzmann method: two-fluid model for binary mixtures.

    Li-Shi Luo;Sharath S. Girimaji

  • FULLY-EXPLICIT AND SELF-CONSISTENT ALGEBRAIC REYNOLDS STRESS MODELS

    Sharath S. Girimaji

  • LES of turbulent square jet flow using an MRT lattice Boltzmann model

    Huidan Yu;Li-Shi Luo;Sharath S. Girimaji

  • ANALYSIS AND MODELING OF SUBGRID SCALAR MIXING USING NUMERICAL DATA

    Sharath S. Girimaji;Ye Zhou

  • Straining and scalar dissipation on material surfaces in turbulence: Implications for flamelets

    P.K. Yeung;S.S. Girimaji;S.B. Pope

  • Near-Wall Formulation of the Partially Averaged Navier-Stokes Turbulence Model

    Branislav Basara;Siniša Krajnovic;Sharath Girimaji;Zoran Pavlovic

  • Partially averaged navier-stokes method for turbulence : Fixed point analysis and comparison with unsteady partially averaged navier-stokes

    Sharath S. Girimaji;Eunhwan Jeong;Ravi Srinivasan

  • A diffusion model for velocity gradients in turbulence

    S. S. Girimaji;S. B. Pope

  • Lattice Boltzmann model for binary mixtures.

    Li-Shi Luo;Sharath S. Girimaji

  • Lattice Boltzmann simulations of decaying homogeneous isotropic turbulence

    Huidan Yu;Sharath S. Girimaji;Li-Shi Luo

  • On the modeling of scalar diffusion in isotropic turbulence

    Sharath S. Girimaji

  • PANS Turbulence Model for Seamless Transition Between RANS and LES: Fixed-Point Analysis and Preliminary Results

    Sharath S. Girimaji;Ravi Srinivasan;Euhwan Jeong

  • Assumed PDF turbulence-chemistry closure with temperature-composition correlations

    R.A. Baurle;S.S. Girimaji

  • A Galilean invariant explicit algebraic Reynolds stress model for turbulent curved flows

    Sharath S. Girimaji

  • Lattice Boltzmann Method: Fundamentals and Engineering Applications with Computer Codes

    Sharath Girimaji

  • Partially Averaged Navier–Stokes (PANS) Method for Turbulence Simulations—Flow Past a Square Cylinder

    Eunhwan Jeong;Sharath S. Girimaji

Frequent Co-Authors

Li-Shi Luo
Li-Shi Luo Old Dominion University
Fernando F. Grinstein
Fernando F. Grinstein Los Alamos National Laboratory
Stephen B. Pope
Stephen B. Pope Cornell University
Yassin A. Hassan
Yassin A. Hassan Texas A&M University
Sinisa Krajnovic
Sinisa Krajnovic Chalmers University of Technology
Charles G. Speziale
Charles G. Speziale Boston University
Rodney D. W. Bowersox
Rodney D. W. Bowersox Texas A&M University
Anthony J. C. Ladd
Anthony J. C. Ladd University of Florida
Helen L. Reed
Helen L. Reed Texas A&M University
Dimitris C. Lagoudas
Dimitris C. Lagoudas Texas A&M University

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