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Matthew A. Lackner

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 35 2653 2487 935 830 108 5022

Matthew A. Lackner publications per year

The chart shows the history of publications by Matthew A. Lackner between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Matthew A. Lackner published across 23 years, from 2003 to 2025, averaging 5.2 papers a year. Output peaked at 12 publications in 2015. 7 of the 119 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 12. Peak 12 publications in 2015. 2003: 1 publication 2004: 0 publications 2005: 1 publication 2006: 0 publications 2007: 3 publications 2008: 3 publications 2009: 4 publications 2010: 5 publications 2011: 7 publications 2012: 9 publications 2013: 10 publications 2014: 8 publications 2015: 12 publications 2016: 9 publications 2017: 2 publications 2018: 4 publications 2019: 6 publications 2020: 12 publications 2021: 5 publications 2022: 5 publications 2023: 6 publications 2024: 2 publications 2025: 5 publications
2003 2025

119 publications in total across all disciplines

View publications per year as a table
Matthew A. Lackner: publications per year, 2003 to 2025
Year Publications
2003 1
2004 0
2005 1
2006 0
2007 3
2008 3
2009 4
2010 5
2011 7
2012 9
2013 10
2014 8
2015 12
2016 9
2017 2
2018 4
2019 6
2020 12
2021 5
2022 5
2023 6
2024 2
2025 5
Total 119
Download as CSV

Matthew A. Lackner publications per year - data summary

  • Matthew A. Lackner, a Mechanical and Aerospace Engineering scholar from University of Massachusetts Amherst, has 119 publications recorded across 23 years, from 2003 to 2025.
  • The oldest publication on record dates to 2003 and the most recent to 2025.
  • The most productive years are 2015 and 2020, with 12 publications each.
  • The least productive years with any output are 2003 and 2005, with 1 publication each.
  • 2 of the 23 years in the span carry no publications at all (2004 and 2006).
  • The rate of publication averages 5.2 papers per year over the whole span, or 5.7 per year counting only the 21 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 23 publications, 19% of the career total.
  • Split into equal eras - 2003-2010: 17 publications (2.1 per year); 2011-2018: 61 publications (7.6 per year); 2019-2025: 41 publications (5.9 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Matthew A. Lackner 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 Matthew A. Lackner 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, 107–116 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: 108 publications — 9th percentile

9% 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
107–116 113 108
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
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
Download as CSV

Matthew A. Lackner publication distribution in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the publication count of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 63 ranges running from 47–56 to 659+ publications.
  • Matthew A. Lackner, a Mechanical and Aerospace Engineering scholar from University of Massachusetts Amherst, records 108 publications - the 9th percentile of the discipline.
  • 9% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Matthew A. Lackner, and about 91% score higher.
  • The median of the discipline falls in the 217–226 publications range, and Matthew A. Lackner ranks below the median.
  • The most crowded range is 147–156 publications, holding 155 scientists (4% of the field).
  • 46% of the field sits in the lowest quarter of the value range (up to 197–206 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 659 publications or more, 100 scientists in all (3% of the field).

Matthew A. Lackner 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 Matthew A. Lackner 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, 35 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: 35 D-Index — 24th percentile

24% 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 35
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
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
Download as CSV

Matthew A. Lackner D-index placement in Mechanical and Aerospace Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,445 Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026, grouped into 64 ranges running from 30 to 93+ D-Index.
  • Matthew A. Lackner, a Mechanical and Aerospace Engineering scholar from University of Massachusetts Amherst, records 35 D-Index - the 24th percentile of the discipline.
  • 24% of ranked Mechanical and Aerospace Engineering scientists score the same or lower than Matthew A. Lackner, and about 76% score higher.
  • The median of the discipline falls in the 43 D-Index range, and Matthew A. Lackner ranks below the median.
  • The most crowded range is 34 D-Index, holding 189 scientists (5% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 45 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 93 D-Index or more, 100 scientists in all (3% of the field).

Overview

Matthew A. Lackner is affiliated with the University of Massachusetts Amherst in the United States. Their research primarily focuses on engineering disciplines, with specialization in aerospace engineering, computational mechanics, environmental engineering, civil and structural engineering, and ocean engineering.

The scientist's work encompasses a range of topics centered on wind energy research and development, fluid dynamics and vibration analysis, wind and air flow studies, vibration control and rheological fluids, wave and wind energy systems, maritime transport emissions and efficiency, and marine and offshore engineering studies.

Recent publications by Matthew A. Lackner include the following papers:

  • Multi-objective optimization of orthogonal TLCDs for reducing fatigue and extreme loads of a floating offshore wind turbine (2020), published in Engineering Structures
  • Floating platform effects on power generation in spar and semisubmersible wind turbines (2021), published in Wind Energy
  • Vibration suppression for monopile and spar-buoy offshore wind turbines using the structure-immittance approach (2020), published in Wind Energy
  • Hurricane eyewall winds and structural response of wind turbines (2020), published in Wind Energy Science
  • Large eddy simulations of offshore wind turbine wakes for two floating platform types (2020), published in Journal of Physics Conference Series

The scientist frequently publishes in venues such as Wind Energy Science, Journal of Physics Conference Series, Wind Energy, SSRN Electronic Journal, and Engineering Structures.

Collaborations are a notable aspect of Matthew A. Lackner's work. Frequent co-authors include James F. Manwell, Hannah M. Johlas, David P. Schmidt, Semyung Park, and Sanjay R. Arwade.

Best Publications

  • Probability distributions for offshore wind speeds

    Eugene C. Morgan;Matthew Lackner;Richard M. Vogel;Laurie G. Baise

  • Passive structural control of offshore wind turbines

    Matthew A. Lackner;Mario A. Rotea

  • Structural control of floating wind turbines

    Matthew A. Lackner;Mario A. Rotea

  • Characterization of the unsteady aerodynamics of offshore floating wind turbines

    T. Sebastian;M.A. Lackner

  • A comparison of smart rotor control approaches using trailing edge flaps and individual pitch control

    Matthew A. Lackner;Gijs van Kuik

  • The impact of passive tuned mass dampers and wind–wave misalignment on offshore wind turbine loads

    Gordon M. Stewart;Matthew A. Lackner

  • Offshore Wind Turbine Load Reduction Employing Optimal Passive Tuned Mass Damping Systems

    Gordon Stewart;M. Lackner

  • DEVELOPMENT OF A FREE VORTEX WAKE METHOD CODE FOR OFFSHORE FLOATING WIND TURBINES

    T. Sebastian;M.A. Lackner

  • An Analytical Framework for Offshore Wind Farm Layout Optimization

    Matthew A. Lackner;Christopher N. Elkinton

  • Controlling Platform Motions and Reducing Blade Loads for Floating Wind Turbines

    Matthew A. Lackner

  • Analysis of the Induction and Wake Evolution of an Offshore Floating Wind Turbine

    Thomas Sebastian;Matthew Lackner

  • Soil–structure reliability of offshore wind turbine monopile foundations

    Wystan Carswell;Sanjay Raja Arwade;Don J. DeGroot;Matthew A. Lackner

  • The effect of actuator dynamics on active structural control of offshore wind turbines

    Gordon M. Stewart;Matthew A. Lackner

  • Uncertainty Analysis in MCP-Based Wind Resource Assessment and Energy Production Estimation

    Matthew A. Lackner;Anthony L. Rogers;James F. Manwell

  • A new method for improved hub height mean wind speed estimates using short-term hub height data

    Matthew A. Lackner;Anthony L. Rogers;James F. Manwell;Jon G. McGowan

  • Calibration and Validation of a Fast Floating Wind Turbine Model of the Deepcwind Scaled Tension-Leg Platform

    Gordon M. Stewart;Matthew A. Lackner;Amy Robertson;Jason Jonkman

  • The creation of a comprehensive metocean data set for offshore wind turbine simulations

    Gordon M. Stewart;Amy Robertson;Jason Jonkman;Matthew A. Lackner

  • An investigation of variable power collective pitch control for load mitigation of floating offshore wind turbines

    Matthew A. Lackner

  • Multi-objective optimization of orthogonal TLCDs for reducing fatigue and extreme loads of a floating offshore wind turbine

    Semyung Park;Meghan Glade;Matthew A. Lackner

  • The Performance of Wind Turbine Smart Rotor Control Approaches During Extreme Loads

    Matthew A. Lackner;Gijs A. M. van Kuik

  • An investigation on the impacts of passive and semiactive structural control on a fixed bottom and a floating offshore wind turbine

    Semyung Park;Matthew A. Lackner;Pariya Pourazarm;Arturo Rodríguez Tsouroukdissian

  • Automatic identification of wind turbine models using evolutionary multiobjective optimization

    William La Cava;Kourosh Danai;Lee Spector;Paul Fleming

Frequent Co-Authors

Yahya Modarres-Sadeghi
Yahya Modarres-Sadeghi University of Massachusetts Amherst
David P. Schmidt
David P. Schmidt University of Massachusetts Amherst
Jason Jonkman
Jason Jonkman National Renewable Energy Laboratory
Matthew J. Churchfield
Matthew J. Churchfield National Renewable Energy Laboratory
Julie K. Lundquist
Julie K. Lundquist University of Colorado Boulder
Mario A. Rotea
Mario A. Rotea The University of Texas at Dallas
Lee Spector
Lee Spector Hampshire College
Paul Fleming
Paul Fleming National Renewable Energy Laboratory
Luca Caracoglia
Luca Caracoglia Northeastern University
Richard M. Vogel
Richard M. Vogel Tufts University

External Links

Personal website of Matthew A. Lackner

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Publications: 14

Torgeir Moan

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Publications: 13

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Publications: 13

Jason Jonkman

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Publications: 13

Yaoyu Li

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Publications: 9

Kaiming Bi

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Publications: 9

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