World's Best Scientists 2026 revealed!
Pilar García-Navarro

Pilar García-Navarro

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
8250
World Ranking
6466
National Ranking
152

Pilar García-Navarro 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 Pilar García-Navarro 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: 214 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Pilar García-Navarro 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 Pilar García-Navarro 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Pilar García-Navarro is affiliated with the University of Zaragoza in Spain. Their research primarily spans the fields of Engineering, Environmental Science, and Earth and Planetary Sciences. Within these broad areas, they focus on subfields including Computational Mechanics, Atmospheric Science, Global and Planetary Change, Water Science and Technology, and Ecology.

The main topics addressed in Pilar García-Navarro's work include:

  • Computational Fluid Dynamics and Aerodynamics
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Fluid Dynamics and Turbulent Flows
  • Hydrology and Sediment Transport Processes
  • Meteorological Phenomena and Simulations
  • Model Reduction and Neural Networks

The scientist has contributed articles predominantly to several publication venues with a consistent presence, such as:

  • Journal of Hydroinformatics
  • Jornadas de jóvenes investigadores del I3A
  • SSRN Electronic Journal
  • Advances in Water Resources
  • Water

Recent papers authored or co-authored by Pilar García-Navarro include:

  • "A GPU-accelerated Efficient Simulation Tool (EST) for 2D variable-density mud/debris flows over non-uniform erodible beds," 2021, published in Engineering Geology
  • "An Efficient GPU Implementation of a Coupled Overland-Sewer Hydraulic Model with Pollutant Transport," 2021, published in Hydrology
  • "A 2D finite volume simulation tool to enable the assessment of combined hydrological and morphodynamical processes in mountain catchments," 2020, published in Advances in Water Resources
  • "Comparison of new efficient 2D models for the simulation of bedload transport using the augmented Roe approach," 2021, published in Advances in Water Resources
  • "A robust two-dimensional model for highly sediment-laden unsteady flows of variable density over movable beds," 2020, published in Journal of Hydroinformatics

Frequent collaborators in their research include:

  • Sergio Martínez-Aranda
  • J. Murillo
  • Isabel Echeverribar
  • Mario Morales-Hernández
  • Adrián Navas-Montilla

The scope of Pilar García-Navarro's work involves computational methods and simulations related to hydrological and sediment transport processes, as well as environmental fluid dynamics and watershed management. Their research contributions involve both model development and the application of numerical techniques to complex environmental and engineering problems.

Best Publications

  • A HIGH-RESOLUTION GODUNOV-TYPE SCHEME IN FINITE VOLUMES FOR THE 2D SHALLOW-WATER EQUATIONS

    Francisco Alcrudo;Pilar Garcia-Navarro

  • A numerical model for the flooding and drying of irregular domains

    P. Brufau;M. E. Vázquez-Cendón;P. García-Navarro

  • Flux difference splitting and the balancing of source terms and flux gradients

    M. E. Hubbard;P. Garcia-Navarro

  • On numerical treatment of the source terms in the shallow water equations

    P. Garcia-Navarro;M.E. Vazquez-Cendon

  • Zero mass error using unsteady wetting–drying conditions in shallow flows over dry irregular topography

    P. Brufau;P. García-Navarro;M. E. Vázquez-Cendón

  • 1‐D Open‐Channel Flow Simulation Using TVD‐McCormack Scheme

    Pilar García-Navarro;Francisco Alcrudo;J. M. Savirón

  • Weak solutions for partial differential equations with source terms: Application to the shallow water equations

    J. Murillo;P. García-Navarro

  • Two‐dimensional dam break flow simulation

    P. Brufau;P. Garcia-Navarro

  • Efficient construction of high‐resolution TVD conservative schemes for equations with source terms: application to shallow water flows

    J. Burguete;P. García-Navarro

  • Godunov-type methods for free-surface shallow flows: A review

    Eleuterio F. Toro;Pilar Garcia-Navarro

  • 1D Mathematical modelling of debris flow

    P. Brufau;P. Garcia-Navarro;P. Ghilardi;L. Natale

  • Influence of mesh structure on 2D full shallow water equations and SCS Curve Number simulation of rainfall/runoff events

    Daniel Caviedes-Voullième;Pilar García-Navarro;Javier Murillo

  • Rainfall/runoff simulation with 2D full shallow water equations: Sensitivity analysis and calibration of infiltration parameters

    Javier Fernández-Pato;Daniel Caviedes-Voullième;Daniel Caviedes-Voullième;Pilar García-Navarro

  • Flux difference splitting for 1D open channel flow equations

    Francisco Alcrudo;Pilar Garcia-Navarro;Jose-Maria Saviron

  • McCormack's method for the numerical simulation of one-dimensional discontinuous unsteady open channel flow

    P. Garcia-Navarro;J. M. Saviron

  • An Exner-based coupled model for two-dimensional transient flow over erodible bed

    J. Murillo;P. García-Navarro

  • An implicit method for water flow modelling in channels and pipes

    P. Garcia-Navarro;F. Alcrudo;A. Priestley

  • Augmented versions of the HLL and HLLC Riemann solvers including source terms in one and two dimensions for shallow flow applications

    J. Murillo;P. García-Navarro

  • Unsteady free surface flow simulation over complex topography with a multidimensional upwind technique

    P. Brufau;P. García-Navarro

  • A 2D weakly-coupled and efficient numerical model for transient shallow flow and movable bed

    C. Juez;J. Murillo;P. García-Navarro

  • The influence of source terms on stability, accuracy and conservation in two‐dimensional shallow flow simulation using triangular finite volumes

    J. Murillo;P. García-Navarro;J. Burguete;P. Brufau

Frequent Co-Authors

Francisco A. Comín
Francisco A. Comín Spanish National Research Council
Vicenç Puig
Vicenç Puig Universitat Politècnica de Catalunya
Marwan A. Hassan
Marwan A. Hassan University of British Columbia
Ramon J. Batalla
Ramon J. Batalla University of Lleida
Joseba Quevedo
Joseba Quevedo Universitat Politècnica de Catalunya
Eleuterio F. Toro
Eleuterio F. Toro University of Trento
Jan E. Vermaat
Jan E. Vermaat Norwegian University of Life Sciences

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