World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
35
Citations
4116
World Ranking
2713
National Ranking
92

David Schlipf 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 David Schlipf 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: 135 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

David Schlipf 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 David Schlipf 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.

Best Publications

  • Nonlinear model predictive control of wind turbines using LIDAR

    Unknown

  • Long-term research challenges in wind energy – a research agenda by the European Academy of Wind Energy

    G. A. M. van Kuik;Joachim Peinke;R. Nijssen;D.J. Lekou

  • Analysis of control-oriented wake modeling tools using lidar field results

    Jennifer Annoni;Paul Fleming;Andrew Scholbrock;Jason Roadman

  • Field testing of feedforward collective pitch control on the CART2 using a nacelle-based lidar scanner

    David Schlipf;Paul Fleming;Florian Haizmann;Andrew Scholbrock

  • Look-ahead cyclic pitch control using LIDAR

    David Schlipf;Simone Schuler;Patrick Grau;Frank Allgöwer

  • Nonlinear model predictive control of floating wind turbines with individual pitch control

    Unknown

  • Lidar-assisted control concepts for wind turbines

    Unknown

  • Advanced controller research for multi-MW wind turbines in the UPWIND project

    Unknown

  • Field Testing LIDAR Based Feed-Forward Controls on the NREL Controls Advanced Research Turbine

    Andrew Scholbrock;Paul Fleming;Lee Fingersh;Alan Wright

  • Testing of Frozen Turbulence Hypothesis for Wind Turbine Applications with a Scanning LIDAR System

    David Schlipf;Davide Trabucchi;Oliver Bischoff;Martin Hofsäß

  • Lidar-enhanced wind turbine control: Past, present, and future

    Andrew Scholbrock;Paul Fleming;David Schlipf;Alan Wright

  • Remote Sensing for Wind Energy

    Alfredo Peña;Charlotte Bay Hasager;Julia Lange;Jan Anger

  • Prospects of a collective pitch control by means of predictive disturbance compensation assisted by wind speed measurements

    Unknown

  • Minute-Scale Forecasting of Wind Power—Results from the Collaborative Workshop of IEA Wind Task 32 and 36

    Unknown

  • Optimizing Lidars for Wind Turbine Control Applications—Results from the IEA Wind Task 32 Workshop

    Unknown

  • Full-Scale Field Test of Wake Steering

    Paul Fleming;Jennifer Annoni;Andrew Scholbrock;Eliot Quon

  • Wind field reconstruction from nacelle-mounted lidar short-range measurements

    Unknown

  • Robust gain scheduling baseline controller for floating offshore wind turbines

    Unknown

  • Model of the Correlation between Lidar Systems and Wind Turbines for Lidar-Assisted Control

    David Schlipf;Po Wen Cheng;Jakob Mann

  • Multibody modeling for concept-level floating offshore wind turbine design

    Unknown

Frequent Co-Authors

Paul Fleming
Paul Fleming National Renewable Energy Laboratory
Jakob Mann
Jakob Mann Technical University of Denmark
Lucy Y. Pao
Lucy Y. Pao University of Colorado Boulder
Carlo L. Bottasso
Carlo L. Bottasso Technical University of Munich
Michael Harris
Michael Harris University of Florida
Jan-Willem van Wingerden
Jan-Willem van Wingerden Delft University of Technology
Frank Allgöwer
Frank Allgöwer University of Stuttgart
Poul Ejnar Sørensen
Poul Ejnar Sørensen Technical University of Denmark
Peter Tavner
Peter Tavner Durham University
Henk Polinder
Henk Polinder Delft University of Technology

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