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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
35
Citations
5022
World Ranking
2653
National Ranking
935

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.

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: 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.

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.

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.

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

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