World's Best Scientists 2026 revealed!
Santiago Badia

Santiago Badia

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
5596
World Ranking
7416
National Ranking
378

Santiago Badia 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 Santiago Badia 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: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Santiago Badia 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 Santiago Badia 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Santiago Badia is affiliated with Monash University in Australia and has an extensive publication record in the field of engineering, with a focus on computational mechanics.

Their research primarily addresses advanced numerical methods applied to computational mathematics and engineering. Subfields of study include computational mechanics, mechanics of materials, computational theory and mathematics, statistical and nonlinear physics, and numerical analysis.

Main topics covered in their work consist of:

  • Advanced Numerical Methods in Computational Mathematics
  • Numerical methods in engineering
  • Model Reduction and Neural Networks
  • Computational Fluid Dynamics and Aerodynamics
  • Advanced Numerical Analysis Techniques
  • Numerical methods for differential equations
  • Advanced Mathematical Modeling in Engineering

Their recent notable papers include:

  • "Gridap: An extensible Finite Element toolbox in Julia" (2020), published in The Journal of Open Source Software
  • "The software design of Gridap: A Finite Element package based on the Julia JIT compiler" (2022), published in Computer Physics Communications
  • "Stability and Conditioning of Immersed Finite Element Methods: Analysis and Remedies" (2023), published in Archives of Computational Methods in Engineering
  • "Finite element interpolated neural networks for solving forward and inverse problems" (2023), published in Computer Methods in Applied Mechanics and Engineering
  • "Robust and scalable h-adaptive aggregated unfitted finite elements for interface elliptic problems" (2021), published in Computer Methods in Applied Mechanics and Engineering

Frequent co-authors include:

  • Alberto F. Martín
  • Francesc Verdugo
  • Pere A. Martorell
  • Javier Príncipe
  • Connor N. Mallon

Their work has been published repeatedly in several scientific venues, notably:

  • arXiv (Cornell University)
  • Computer Methods in Applied Mechanics and Engineering
  • Computers & Mathematics with Applications
  • Journal of Computational Physics
  • The Journal of Open Source Software

Best Publications

  • Fluid-structure partitioned procedures based on Robin transmission conditions

    Santiago Badia;Fabio Nobile;Christian Vergara

  • Time dependent subscales in the stabilized finite element approximation of incompressible flow problems

    Ramon Codina;Javier Principe;Oriol Guasch;Santiago Badia

  • Splitting Methods Based on Algebraic Factorization for Fluid-Structure Interaction

    Santiago Badia;Annalisa Quaini;Alfio Quarteroni

  • Unified Stabilized Finite Element Formulations for the Stokes and the Darcy Problems

    Santiago Badia;Ramon Codina

  • Numerical modelling and experimental validation in Selective Laser Melting

    Michele Chiumenti;Eric Neiva;Emilio Salsi;Miguel Cervera

  • Coupling Biot and Navier-Stokes equations for modelling fluid-poroelastic media interaction

    Santiago Badia;Annalisa Quaini;Alfio Quarteroni

  • Modular vs. non-modular preconditioners for fluid-structure systems with large added-mass effect

    Santiago Badia;Santiago Badia;Annalisa Quaini;Alfio Quarteroni;Alfio Quarteroni

  • Concurrent AtC coupling based on a blend of the continuum stress and the atomistic force

    Jacob Fish;Mohan A. Nuggehally;Mark S. Shephard;Catalin R. Picu

  • Robin-Robin preconditioned Krylov methods for fluid-structure interaction problems

    Santiago Badia;Fabio Nobile;Christian Vergara

  • The aggregated unfitted finite element method for elliptic problems

    Santiago Badia;Francesc Verdugo;Alberto F. Martín

  • Assessment of variational multiscale models for the large eddy simulation of turbulent incompressible flows

    Oriol Colomés;Santiago Badia;Ramon Codina;Javier Principe

  • On Atomistic-to-Continuum Coupling by Blending

    Santiago Badia;Michael L. Parks;Pavel B. Bochev;Max D. Gunzburger

  • An approach to verification and validation of MHD codes for fusion applications

    S. Smolentsev;Santiago Badia;R. Bhattacharyay;L. Bühler

  • Gridap: An extensible Finite Element toolbox in Julia

    Santiago Badia;Francesc Verdugo

  • Variational Multiscale Methods in Computational Fluid Dynamics

    Ramon Codina;Santiago Badia;Joan Baiges;Javier Principe

  • Finite element approximation of nematic liquid crystal flows using a saddle-point structure

    Santiago Badia;Francisco Guillén-González;Juan Vicente Gutiérrez-Santacreu

  • A Force-Based Blending Model forAtomistic-to-Continuum Coupling

    Santiago Badia;Pavel Bochev;Richard Lehoucq;Michael Parks

  • Multilevel Balancing Domain Decomposition at Extreme Scales

    Santiago Badia;Alberto F. Martín;Javier Principe

  • Stabilized continuous and discontinuous Galerkin techniques for Darcy flow.

    Santiago Badia;Ramon Codina

  • Analysis of a Stabilized Finite Element Approximation of the Transient Convection-Diffusion Equation Using an ALE Framework

    Santiago Badia;Ramon Codina

Frequent Co-Authors

Ramon Codina
Ramon Codina Universitat Politècnica de Catalunya
Michele Chiumenti
Michele Chiumenti Universitat Politècnica de Catalunya
Alfio Quarteroni
Alfio Quarteroni Polytechnic University of Milan
Max D. Gunzburger
Max D. Gunzburger Florida State University
Pavel B. Bochev
Pavel B. Bochev Sandia National Laboratories
Richard B. Lehoucq
Richard B. Lehoucq Sandia National Laboratories
Miguel Cervera
Miguel Cervera Universitat Politècnica de Catalunya
John N. Shadid
John N. Shadid Sandia National Laboratories
Fabio Nobile
Fabio Nobile École Polytechnique Fédérale de Lausanne
Chris Huw John Davies
Chris Huw John Davies Monash University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Santiago Badia

Trending Scientists