World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4079
World Ranking
9443
National Ranking
376

Denis Marcotte 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 Denis Marcotte 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: 163 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Denis Marcotte 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 Denis Marcotte 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Denis Marcotte is affiliated with Polytechnique Montréal in Canada and has contributed extensively to the fields of engineering and environmental science. Their research spans diverse subfields including environmental engineering, mechanical engineering, renewable energy, sustainability, geophysics, and mechanics of materials.

The scientist's work focuses on several main topics such as geothermal energy systems and applications, groundwater flow and contamination studies, hydraulic fracturing and reservoir analysis, seismic imaging and inversion techniques, soil and unsaturated flow, reservoir engineering and simulation methods, and rock mechanics and modeling.

Denis Marcotte has authored several recent papers covering various aspects of these topics. Notable publications include:

  • "Robust identification of volumetric heat capacity and analysis of thermal response tests by Bayesian inference with correlated residuals," 2020, Applied Energy
  • "Power-law relationship between joint spacing and bed thickness in sedimentary rocks and implications for layered rock mechanics," 2021, Journal of Structural Geology
  • "A fast convolution-based method to simulate time-varying flow rates in closed-loop and standing column well ground heat exchangers," 2021, Renewable Energy
  • "Flow rate control in standing column wells: A flexible solution for reducing the energy use and peak power demand of the built environment," 2022, Applied Energy
  • "Quantifying Mineral Resources and Their Uncertainty Using Two Existing Machine Learning Methods," 2021, Mathematical Geosciences

Their collaboration network includes frequent co-authors such as Philippe Pasquier, Gabriel Dion, Shaocheng Ji, Gabrielle Beaudry, and Dany Lauzon.

Throughout their career, Denis Marcotte has published in venues including the SSRN Electronic Journal, Applied Energy, Mathematical Geosciences, Natural Resources Research, and the Journal of Structural Geology.

Best Publications

  • On the estimation of thermal resistance in borehole thermal conductivity test

    D. Marcotte;P. Pasquier

  • Fast fluid and ground temperature computation for geothermal ground-loop heat exchanger systems

    Denis Marcotte;Philippe Pasquier

  • Short-term simulation of ground heat exchanger with an improved TRCM

    Philippe Pasquier;Denis Marcotte

  • The importance of axial effects for borehole design of geothermal heat-pump systems

    D. Marcotte;D. Marcotte;P. Pasquier;F. Sheriff;M. Bernier

  • Multivariable variogram and its application to the linear model of coregionalization

    Gilles Bourgault;Denis Marcotte

  • Cokriging with matlab

    Denis Marcotte

  • Estimation of hydraulic conductivity of an unconfined aquifer using cokriging of GPR and hydrostratigraphic data

    Erwan Gloaguen;Michel Chouteau;Denis Marcotte;Robert Chapuis

  • Borehole radar velocity inversion using cokriging and cosimulation

    Erwan Gloaguen;Denis Marcotte;Michel Chouteau;Hervé Perroud

  • Fast variogram computation with FFT

    Denis Marcotte

  • 3D stochastic inversion of gravity data using cokriging and cosimulation

    Pejman Shamsipour;Denis Marcotte;Michel Chouteau;Pierre Keating

  • Joint use of quasi-3D response model and spectral method to simulate borehole heat exchanger

    Philippe Pasquier;Denis Marcotte

  • Evaluating the hydraulic conductivity at three different scales within an unconfined sand aquifer at Lachenaie, Quebec

    Robert P Chapuis;Véronique Dallaire;Denis Marcotte;Michel Chouteau

  • Hydraulic head field estimation using kriging with an external drift: A way to consider conceptual model information

    Martine Rivest;Denis Marcotte;Philippe Pasquier

  • Comparison of approaches to spatial estimation in a bivariate context

    Mustapha Asli;Denis Marcotte

  • Mechanical properties of multiphase materials and rocks: A phenomenological approach using generalized means

    Shaocheng Ji;Shaocheng Ji;Qin Wang;Bin Xia;Denis Marcotte

  • The effect of borehole inclination on fluid and ground temperature for GLHE systems

    Denis Marcotte;Philippe Pasquier

  • Automatic joint set clustering using a mixture of bivariate normal distributions

    D. Marcotte;E. Henry

  • Underground stope optimization with network flow method

    Xiaoyu Bai;Denis Marcotte;Richard Simon

  • Mapping clay content for subsurface drainage in the Nile Delta

    J. Gallichand;D. Marcotte

  • Borehole thermal energy storage systems under the influence of groundwater flow and time-varying surface temperature

    A. Nguyen;P. Pasquier;D. Marcotte

  • Thermal resistance and capacity model for standing column wells operating under a bleed control

    A. Nguyen;P. Pasquier;D. Marcotte

  • Ultimate open pit stochastic optimization

    Denis Marcotte;Josiane Caron

Frequent Co-Authors

Shaocheng Ji
Shaocheng Ji Polytechnique Montréal
Robert P. Chapuis
Robert P. Chapuis Polytechnique Montréal
Pierre Legendre
Pierre Legendre University of Montreal
Matthew H. Salisbury
Matthew H. Salisbury Bedford Institute of Oceanography
Shiv O. Prasher
Shiv O. Prasher McGill University
Zhiqin Xu
Zhiqin Xu Nanjing University
Michel Aubertin
Michel Aubertin Polytechnique Montréal
Yaoguo Li
Yaoguo Li Colorado School of Mines
John Molson
John Molson Université Laval
Basil D. Favis
Basil D. Favis Polytechnique Montréal

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