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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 47 1339 1235 533 461 324 11920

Beverley McKeon publications per year

The chart shows the history of publications by Beverley McKeon between 1999 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Beverley McKeon published across 28 years, from 1999 to 2026, averaging 12.8 papers a year. Output peaked at 27 publications in 2019. 15 of the 358 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1999 to 2026. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2019. 1999: 2 publications 2000: 5 publications 2001: 2 publications 2002: 3 publications 2003: 2 publications 2004: 6 publications 2005: 7 publications 2006: 3 publications 2007: 9 publications 2008: 12 publications 2009: 15 publications 2010: 24 publications 2011: 23 publications 2012: 7 publications 2013: 24 publications 2014: 26 publications 2015: 15 publications 2016: 24 publications 2017: 23 publications 2018: 15 publications 2019: 27 publications 2020: 20 publications 2021: 18 publications 2022: 6 publications 2023: 11 publications 2024: 14 publications 2025: 14 publications 2026: 1 publication
1999 2026

358 publications in total across all disciplines

View publications per year as a table
Beverley McKeon: publications per year, 1999 to 2026
Year Publications
1999 2
2000 5
2001 2
2002 3
2003 2
2004 6
2005 7
2006 3
2007 9
2008 12
2009 15
2010 24
2011 23
2012 7
2013 24
2014 26
2015 15
2016 24
2017 23
2018 15
2019 27
2020 20
2021 18
2022 6
2023 11
2024 14
2025 14
2026 1
Total 358
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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.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 317–326 publications, is where this scientist sits. 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
47–56 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.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70 324
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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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.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 47 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70 47
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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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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