World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
70
Citations
18307
World Ranking
1043
National Ranking
14

Fernando Porté-Agel 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 Fernando Porté-Agel 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: 356 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Fernando Porté-Agel 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 Fernando Porté-Agel 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: 70 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Fernando Porté-Agel is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research primarily focuses on engineering and environmental science, with extensive work in aerospace engineering, environmental engineering, computational mechanics, electrical and electronic engineering, and artificial intelligence.

Their main research topics include:

  • Wind Energy Research and Development
  • Wind and Air Flow Studies
  • Fluid Dynamics and Vibration Analysis
  • Aerodynamics and Fluid Dynamics Research
  • Energy Load and Power Forecasting
  • Icing and De-icing Technologies
  • Solar Radiation and Photovoltaics

Fernando Porté-Agel has published extensively in several academic venues. Frequent publication outlets include:

  • Journal of Physics Conference Series
  • Energies
  • Zenodo (CERN European Organization for Nuclear Research)
  • Renewable Energy
  • Physics of Fluids

Recent publications by Porté-Agel and collaborators consist of studies on wind farm power prediction, yaw control for wind farms, and atmospheric boundary layer modeling. Notable papers include:

  • "A momentum-conserving wake superposition method for wind farm power prediction," 2020, Journal of Fluid Mechanics
  • "Experimental investigation and analytical modelling of active yaw control for wind farm power optimization," 2021, Renewable Energy
  • "Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast," 2021, Energies
  • "A point vortex transportation model for yawed wind turbine wakes," 2020, Journal of Fluid Mechanics
  • "A physics-based model for wind turbine wake expansion in the atmospheric boundary layer," 2022, Journal of Fluid Mechanics

Frequent co-authors collaborating with Porté-Agel include Arslan Salim Dar, Jiannong Fang, Mou Lin, Peter Brugger, and Dara Vahidi. These collaborations indicate a network of researchers engaged in topics related to wind energy and fluid dynamics.

Best Publications

  • A new analytical model for wind-turbine wakes

    Majid Bastankhah;Fernando Porté-Agel

  • Wind-Turbine and Wind-Farm Flows: A Review

    Fernando Porté-Agel;Majid Bastankhah;Majid Bastankhah;Sina Shamsoddin

  • Experimental and theoretical study of wind turbine wakes in yawed conditions

    Majid Bastankhah;Fernando Porté-Agel

  • A scale-dependent dynamic model for large-eddy simulation: application to a neutral atmospheric boundary layer

    Fernando Porté-Agel;Charles Meneveau;Marc B. Parlange

  • Large-Eddy Simulation of Wind-Turbine Wakes: Evaluation of Turbine Parametrisations

    Yu Ting Wu;Fernando Porté-Agel

  • A Wind-Tunnel Investigation of Wind-Turbine Wakes: Boundary-Layer Turbulence Effects

    Leonardo P. Chamorro;Fernando Porté-Agel

  • Large-eddy simulation of atmospheric boundary layer flow through wind turbines and wind farms

    Fernando Porté-Agel;Fernando Porté-Agel;Yu Ting Wu;Yu Ting Wu;Hao Lu;Robert J. Conzemius

  • Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study

    Mahdi Abkar;Fernando Porté-Agel

  • Atmospheric Turbulence Effects on Wind-Turbine Wakes: An LES Study

    Yu Ting Wu;Fernando Porté-Agel

  • Large-eddy simulation of a very large wind farm in a stable atmospheric boundary layer

    Hao Lu;Fernando Porté-Agel

  • Effects of Thermal Stability and Incoming Boundary-Layer Flow Characteristics on Wind-Turbine Wakes: A Wind-Tunnel Study

    Leonardo P. Chamorro;Fernando Porté-Agel;Fernando Porté-Agel

  • Analytical Modeling of Wind Farms: A New Approach for Power Prediction

    Amin Niayifar;Fernando Porté-Agel

  • Modeling turbine wakes and power losses within a wind farm using LES: An application to the Horns Rev offshore wind farm

    Yu Ting Wu;Fernando Porté-Agel

  • A Numerical Study of the Effects of Wind Direction on Turbine Wakes and Power Losses in a Large Wind Farm

    Fernando Port́e-Agel;Yu Ting Wu;Chang Hung Chen

  • On Monin-Obukhov similarity in the stable atmospheric boundary layer

    Markus Pahlow;Marc B. Parlange;Fernando Porté-Agel

  • Simulation of Turbulent Flow Inside and Above Wind Farms: Model Validation and Layout Effects

    Yu Ting Wu;Fernando Porté-Agel

  • Near-wake flow structure downwind of a wind turbine in a turbulent boundary layer

    Wei Zhang;Corey D. Markfort;Fernando Porté-Agel

  • Field Measurements of Wind Turbine Wakes with Lidars

    Giacomo Valerio Iungo;Yu Ting Wu;Fernando Porté-Agel

  • Turbulent Flow Inside and Above a Wind Farm: A Wind-Tunnel Study

    Leonardo P. Chamorro;Fernando Porté-Agel;Fernando Porté-Agel

  • Dynamic subgrid‐scale models for momentum and scalar fluxes in large‐eddy simulations of neutrally stratified atmospheric boundary layers over heterogeneous terrain

    Rob Stoll;Fernando Porté-Agel

  • Large-eddy simulation of stably stratified atmospheric boundary layer turbulence: A scale-dependent dynamic modeling approach

    Sukanta Basu;Fernando Porté-Agel

Frequent Co-Authors

Leonardo P. Chamorro
Leonardo P. Chamorro University of Illinois at Urbana-Champaign
Marc B. Parlange
Marc B. Parlange University of Rhode Island
Charles Meneveau
Charles Meneveau Johns Hopkins University
Efi Foufoula-Georgiou
Efi Foufoula-Georgiou University of California, Irvine
Heinz G. Stefan
Heinz G. Stefan University of Minnesota
Fotis Sotiropoulos
Fotis Sotiropoulos Pennsylvania State University
François Gallaire
François Gallaire École Polytechnique Fédérale de Lausanne
Jens Nørkær Sørensen
Jens Nørkær Sørensen Technical University of Denmark
Paul Fleming
Paul Fleming National Renewable Energy Laboratory
John D. Albertson
John D. Albertson Cornell University

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