World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
47
Citations
11920
World Ranking
1338
National Ranking
532

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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