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Danesh K. Tafti

Danesh K. Tafti

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
41
Citations
6654
World Ranking
1924
National Ranking
726

Danesh K. Tafti publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Danesh K. Tafti sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 264 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Danesh K. Tafti D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Danesh K. Tafti sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 41 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Research.com Recognitions

  • 2014 - Fellow of the American Society of Mechanical Engineers

Overview

Danesh K. Tafti is a researcher affiliated with Virginia Tech in the United States, specializing in Engineering with a strong focus on Computational Mechanics, Aerospace Engineering, Ocean Engineering, Mechanical Engineering, and Statistical and Nonlinear Physics. Their research primarily addresses complex fluid dynamics and particle interactions, with a significant emphasis on granular flow and fluidized beds as well as particle dynamics in fluid flows.

Tafti's recent papers cover a range of topics related to fluid-particle systems and drag force modeling. Notable publications include:

  • Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems, 2020, Big Data
  • Deep Learning Methods for Predicting Fluid Forces in Dense Particle Suspensions, 2022, Powder Technology
  • Development of Drag Correlation for Suspensions of Ellipsoidal Particles, 2020, Powder Technology
  • Modeling Iontophoretic Drug Delivery in a Microfluidic Device, 2020, Lab on a Chip
  • Modeling Drag Force in Ellipsoidal Particle Suspensions with Preferential Orientation, 2020, Powder Technology

The frequent venues for Tafti's publications include:

  • Powder Technology
  • Bioinspiration & Biomimetics
  • Physics of Fluids
  • International Journal of Thermal Sciences
  • International Journal of Multiphase Flow

In their field of study, Tafti's work spans several main topics such as:

  • Granular Flow and Fluidized Beds
  • Particle Dynamics in Fluid Flows
  • Fluid Dynamics and Vibration Analysis
  • Lattice Boltzmann Simulation Studies
  • Fluid Dynamics and Turbulent Flows
  • Heat Transfer Mechanisms
  • Model Reduction and Neural Networks

Tafti frequently collaborates with several researchers, including Ze Cao, Nikhil Muralidhar, Anuj Karpatne, Zhenghang Cao, and Peter Windes.

Their research contributions are recognized in the community, as reflected by their affiliation and their fellowship with the American Society of Mechanical Engineers awarded in 2014.

Best Publications

  • Passive energy recapture in jellyfish contributes to propulsive advantage over other metazoans

    Brad J. Gemmell;Brad J. Gemmell;John H. Costello;John H. Costello;Sean P. Colin;Sean P. Colin;Colin J. Stewart

  • 3D Printing All-Aromatic Polyimides using Mask-Projection Stereolithography: Processing the Nonprocessable

    Maruti Hegde;Viswanath Meenakshisundaram;Nicholas Chartrain;Susheel Sekhar

  • Investigation of dimpled fins for heat transfer enhancement in compact heat exchangers

    Mohammad A. Elyyan;Ali Rozati;Danesh K. Tafti

  • Optimal control and simulation of multidimensional crystallization processes

    David L. Ma;Danesh K. Tafti;Richard D. Braatz

  • Study of discrete test filters and finite difference approximations for the dynamic subgrid‐scale stress model

    F. M. Najjar;D. K. Tafti

  • Heat transfer enhancement mechanisms in inline and staggered parallel-plate fin heat exchangers

    L.W. Zhang;S. Balachandar;D.K. Tafti;F.M. Najjar

  • Experimental validation of large eddy simulations of flow and heat transfer in a stationary ribbed duct

    Evan A. Sewall;Danesh K. Tafti;Andrew B. Graham;Karen A. Thole

  • Evaluating the role of subgrid stress modeling in a ribbed duct for the internal cooling of turbine blades

    D.K. Tafti

  • Efficient parallel CFD-DEM simulations using OpenMP

    Amit Amritkar;Surya Deb;Danesh Tafti

  • GenIDLEST: A Scalable Parallel Computational Tool for Simulating Complex Turbulent Flows

    D. K. Tafti

  • Development of parallel DEM for the open source code MFIX

    Pradeep Gopalakrishnan;Danesh Tafti

  • Effect of coolant-mainstream blowing ratio on leading edge film cooling flow and heat transfer : LES investigation

    Ali Rozati;Danesh K. Tafti

  • A numerical study of the effects of spanwise rotation on turbulent channel flow

    D. K. Tafti;Surya Pratap Vanka

  • A new approach for conjugate heat transfer problems using immersed boundary method for curvilinear grid based solvers

    Krishnamurthy Nagendra;Danesh K. Tafti;Kamal Viswanath

  • Flow transition in a multilouvered fin array

    D.K. Tafti;G. Wang;W. Lin

  • Computations of flow and heat transfer in parallel-plate fin heat exchangers on the CM-5: effects of flow unsteadiness and three-dimensionality

    L.W. Zhang;D.K. Tafti;F.M. Najjar;S. Balachandar

  • Large-eddy simulations of leading edge film cooling: Analysis of flow structures, effectiveness, and heat transfer coefficient

    Ali Rozati;Danesh K. Tafti

  • Comparison of some upwind-biased high-order formulations with a second-order central-difference scheme for time integration of the incompressible Navier-Stokes equations

    Danesh Tafti

  • A Complementary Experimental and Numerical Study of the Flow and Heat Transfer in Offset Strip-Fin Heat Exchangers

    N. C. DeJong;L. W. Zhang;A. M. Jacobi;S. Balachandar

  • Detached eddy simulation of turbulent flow and heat transfer in a two-pass internal cooling duct

    Aroon K. Viswanathan;Danesh K. Tafti

  • A supervised machine learning approach for predicting variable drag forces on spherical particles in suspension

    Long He;Danesh K. Tafti

Frequent Co-Authors

Srinath V. Ekkad
Srinath V. Ekkad North Carolina State University
Surya Pratap Vanka
Surya Pratap Vanka University of Illinois at Urbana-Champaign
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
S. Balachandar
S. Balachandar University of Florida
Fady Najjar
Fady Najjar Lawrence Livermore National Laboratory
Barbara Chapman
Barbara Chapman Stony Brook University
Shashank Priya
Shashank Priya Pennsylvania State University
Robert D. Moser
Robert D. Moser The University of Texas at Austin
Timothy E. Long
Timothy E. Long Arizona State University

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