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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
11920
World Ranking
1339
National Ranking
533

Beverley McKeon 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 Beverley McKeon 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: 324 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Beverley McKeon 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 Beverley McKeon 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: 47 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Beverley McKeon is affiliated with the California Institute of Technology in the United States and is active in the field of Engineering. Their research spans multiple subfields including Computational Mechanics, Statistical and Nonlinear Physics, Environmental Engineering, Aerospace Engineering, and Atmospheric Science. This multidisciplinary approach supports investigations into complex fluid phenomena and related engineering challenges.

Their work encompasses a range of topics such as Fluid Dynamics and Turbulent Flows, Model Reduction and Neural Networks, Fluid Dynamics and Vibration Analysis, Wind and Air Flow Studies, Computational Fluid Dynamics and Aerodynamics, Meteorological Phenomena and Simulations, and Plant Water Relations and Carbon Dynamics.

Frequent publication venues for Beverley McKeon include:

  • Physical Review Fluids
  • arXiv (Cornell University)
  • Journal of Fluid Mechanics
  • International Journal of Heat and Fluid Flow
  • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences

Some of the recent papers authored include:

  • Physics-informed dynamic mode decomposition (2023), Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • The transformative potential of machine learning for experiments in fluid mechanics (2023), Nature Reviews Physics
  • Data-driven resolvent analysis (2021), Journal of Fluid Mechanics
  • Kernel learning for robust dynamic mode decomposition: linear and nonlinear disambiguation optimization (2022), Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • Prediction of resolvent mode shapes in supersonic turbulent boundary layers (2020), International Journal of Heat and Fluid Flow

Collaborations are a significant aspect of their work, with frequent co-authors including Steven L. Brunton, Peter J. Baddoo, Benjamín Herrmann, Scott T. M. Dawson, and Eric Lauga. These collaborations have contributed to advancing understanding in fluid mechanics and computational methodologies.

Best Publications

  • Modal Analysis of Fluid Flows: An Overview

    Kunihiko Taira;Steven L. Brunton;Scott T. M. Dawson;Clarence W. Rowley

  • High–Reynolds Number Wall Turbulence

    Alexander J. Smits;Beverley J. McKeon;Ivan Marusic

  • Wall-bounded turbulent flows at high Reynolds numbers: Recent advances and key issues

    Ivan Marusic;Beverley J McKeon;Peter A Monkewitz;Hassan M Nagib

  • A critical-layer framework for turbulent pipe flow

    B. J. McKeon;A. S. Sharma

  • A critical layer model for turbulent pipe flow

    B. J. McKeon;A. S. Sharma

  • Further observations on the mean velocity distribution in fully developed pipe flow

    B. J McKeon;Jun-de Li;W Jiang;J. F Morrison

  • A new friction factor relationship for fully developed pipe flow

    Beverley McKeon;M Zagarola;Alexander Smits

  • Scaling of the streamwise velocity component in turbulent pipe flow

    J. F. Morrison;B. J. McKeon;W. Jiang;Alexander Smits

  • Friction factors for smooth pipe flow

    B. J. McKeon;C. J. Swanson;M. V. Zagarola;R. J. Donnelly

  • Model-based scaling of the streamwise energy density in high-Reynolds-number turbulent channels

    Rashad Moarref;Ati S. Sharma;Joel A. Tropp;Beverley J. McKeon

  • The engine behind (wall) turbulence: perspectives on scale interactions

    B. J. McKeon

  • Large-eddy simulation of large-scale structures in long channel flow

    D. Chung;B. J. McKeon

  • On coherent structure in wall turbulence

    A. S. Sharma;B. J. McKeon

  • Interactions within the turbulent boundary layer at high Reynolds number

    M. Guala;M. Metzger;B. J. McKeon

  • The near-neutral atmospheric surface layer: turbulence and non-stationarity

    M Metzger;B.J McKeon;H Holmes

  • A framework for studying the effect of compliant surfaces on wall turbulence

    Mitul Luhar;Ati S. Sharma;Beverley McKeon

  • Opposition control within the resolvent analysis framework

    M. Luhar;A. S. Sharma;B. J. McKeon

  • Obtaining accurate mean velocity measurements in high Reynolds number turbulent boundary layers using Pitot tubes

    S C C Bailey;Marcus Hultmark;Jason Patrick Monty;P H Alfredsson

  • Dynamic stall on a pitching and surging airfoil

    Reeve Dunne;Beverley J. McKeon

  • The transformative potential of machine learning for experiments in fluid mechanics

    Unknown

  • Pitot probe corrections in fully developed turbulent pipe flow

    B J McKeon;J Li;W Jiang;J F Morrison

  • Static pressure correction in high Reynolds number fully developed turbulent pipe flow

    B. J. McKeon;A. J. Smits

  • Experimental manipulation of wall turbulence: a systems approach

    Beverley McKeon;Ati Sharma;Ian Jacobi

Frequent Co-Authors

Alexander Smits
Alexander Smits Princeton University
Michele Guala
Michele Guala University of Minnesota
Michael D. Graham
Michael D. Graham University of Wisconsin–Madison
Joel A. Tropp
Joel A. Tropp California Institute of Technology
Peter J. Schmid
Peter J. Schmid King Abdullah University of Science and Technology
Hugh Maurice Blackburn
Hugh Maurice Blackburn Monash University
Murray Rudman
Murray Rudman Monash University
John C. Doyle
John C. Doyle California Institute of Technology
Antonis Papachristodoulou
Antonis Papachristodoulou University of Oxford
Bassam Bamieh
Bassam Bamieh University of California, Santa Barbara

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