World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
6107
World Ranking
5934
National Ranking
236

David Wood publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where David Wood sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 260 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

David Wood D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where David Wood sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

David Wood is affiliated with the University of Calgary in Canada and focuses on research within the broad field of engineering. Their primary areas of study encompass aerospace engineering, computational mechanics, mechanical engineering, environmental engineering, and infectious diseases.

The scientist's research contributions number extensively across various topics, especially within wind energy and fluid dynamics. The main topics of their work include:

  • Wind Energy Research and Development
  • Fluid Dynamics and Turbulent Flows
  • Wind and Air Flow Studies
  • Fluid Dynamics and Vibration Analysis
  • Cavitation Phenomena in Pumps
  • Aerospace Engineering and Energy Systems
  • Tree Root and Stability Studies

The research portfolio of David Wood includes several publications in well-known venues. Frequent publication outlets for their work include:

  • Journal of Renewable and Sustainable Energy
  • Journal of Physics Conference Series
  • Energies
  • Frontiers in Energy Research
  • Wind Energy

Among the recent papers authored or co-authored by David Wood are:

  • An experimental and numerical study of forced convection heat transfer from rectangular fins at low Reynolds numbers, 2020, International Journal of Heat and Mass Transfer
  • Optimizing rectangular fins for natural convection cooling using CFD, 2020, Thermal Science and Engineering Progress
  • Current status and grand challenges for small wind turbine technology, 2022, Wind Energy Science
  • Improving the performance of PV/T systems by using conical-leaf inserts in the coolant tubes, 2020, Solar Energy
  • A simple method for modelling fatigue spectra of small wind turbine blades, 2020, Wind Energy

David Wood has collaborated frequently with a number of researchers. Regular co-authors include:

  • Jerson Rogério Pinheiro Vaz
  • Muhammad Saif Ullah Khalid
  • Narges Golmirzaee
  • Muluken Temesgen Tigabu
  • Bimrew Tamrat Admasu

Best Publications

  • Development and preliminary evaluation of a 90 K Axiom® SNP array for the allo-octoploid cultivated strawberry Fragaria × ananassa

    Nahla V Bassil;Thomas M Davis;Hailong Zhang;Stephen Ficklin

  • Wall pressure and shear stress measurements beneath an impinging jet

    C.V. Tu;D.H. Wood

  • Short-term electricity load forecasting of buildings in microgrids

    Hamed Chitsaz;Hamid Shaker;Hamidreza Zareipour;David Wood

  • Day-Ahead Power Output Forecasting for Small-Scale Solar Photovoltaic Electricity Generators

    Yue Zhang;Marc Beaudin;Raouf Taheri;Hamidreza Zareipour

  • A Data-Driven Approach for Estimating the Power Generation of Invisible Solar Sites

    Hamid Shaker;Hamidreza Zareipour;David Wood

  • Small Wind Turbines: Analysis, Design, and Application

    David Wood

  • Coupled thermal-optical numerical modeling of PV/T module – Combining CFD approach and two-band radiation DO model

    Seyed Reza Maadi;Meysam Khatibi;Ehsan Ebrahimnia-Bajestan;David Wood

  • Aero-structural design and optimization of a small wind turbine blade

    Abolfazl Pourrajabian;Peyman Amir Nazmi Afshar;Mehdi Ahmadizadeh;David Wood

  • Aerodynamic optimization of the blades of diffuser-augmented wind turbines

    Jerson R.P. Vaz;David H. Wood

  • The rotor theories by Professor Joukowsky: Vortex theories

    Valery L. Okulov;Valery L. Okulov;Jens Nørkær Sørensen;David H. Wood

  • Impacts of large-scale wind and solar power integration on California׳s net electrical load

    Hamid Shaker;Hamidreza Zareipour;David Wood

  • Estimating Power Generation of Invisible Solar Sites Using Publicly Available Data

    Hamid Shaker;Hamidreza Zareipour;David Wood

  • Investigating the Power-COE trade-off for wind farm layout optimization considering commercial turbine selection and hub height variation

    Mamdouh Abdulrahman;David Wood

  • Observations of the starting behaviour of a small horizontalaxis wind turbine

    P.R. Ebert;D.H. Wood

  • Forces and Moments on Flat Plates of Small Aspect Ratio with Application to PV Wind Loads and Small Wind Turbine Blades

    Xavier Ortiz;David Rival;David Wood

  • The near wake of a model horizontal-axis wind turbine—I. Experimental arrangements and initial results

    P.R. Ebert;D.H. Wood

  • Measurements of a swirling turbulent boundary layer developing in a conical diffuser

    P.D. Clausen;S.G. Koh;D.H. Wood

  • Fluid forces on a very low Reynolds number airfoil and their prediction

    Y. Zhou;Md. Mahbub Alam;Md. Mahbub Alam;H.X. Yang;H. Guo

  • Research and development issues for small wind turbines

    P.D. Clausen;D.H. Wood

  • The near wake of a model horizontal-axis wind turbine

    P.R Ebert;D.H Wood

  • The Design of High Efficiency Crossflow Hydro Turbines: A Review and Extension

    Ram Adhikari;David Wood

Frequent Co-Authors

Robert J. Martinuzzi
Robert J. Martinuzzi University of Calgary
Hamidreza Zareipour
Hamidreza Zareipour University of Calgary
Jens Nørkær Sørensen
Jens Nørkær Sørensen Technical University of Denmark
R. A. Antonia
R. A. Antonia University of Newcastle Australia
Md. Mahbub Alam
Md. Mahbub Alam Harbin Institute of Technology
Farid Nasir Ani
Farid Nasir Ani University of Technology Malaysia
Hongxing Yang
Hongxing Yang Hong Kong Polytechnic University
Robert Flemming Mikkelsen
Robert Flemming Mikkelsen Technical University of Denmark
Curran Crawford
Curran Crawford University of Victoria
Nima Amjady
Nima Amjady Federation University Australia

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