World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
9242
World Ranking
7538
National Ranking
2065

Eric Darve 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 Eric Darve 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: 278 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Eric Darve 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 Eric Darve 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: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Eric Darve is affiliated with Stanford University in the United States and focuses their research primarily in the fields of Computer Science and Engineering. Their work spans several interconnected subfields such as Artificial Intelligence, Statistical and Nonlinear Physics, Computational Mechanics, Computational Theory and Mathematics, and Geophysics.

The scientist's research explores a variety of main topics, including:

  • Model Reduction and Neural Networks
  • Matrix Theory and Algorithms
  • Anomaly Detection Techniques and Applications
  • Seismic Imaging and Inversion Techniques
  • Sparse and Compressive Sensing Techniques
  • Hydrology and Watershed Management Studies
  • Hydrology and Sediment Transport Processes

Eric Darve has co-authored extensively with several collaborators, notably:

  • Kailai Xu (18 publications)
  • Ryan Humble (10 publications)
  • Jonghyun Lee (9 publications)
  • Ziyi Yang (9 publications)
  • Finn H. O'Shea (9 publications)

Their work has appeared in various scholarly venues, with frequent publications in:

  • arXiv (Cornell University) - 38 publications
  • Journal of Computational Physics - 3 publications
  • Computer Methods in Applied Mechanics and Engineering - 3 publications
  • SIAM Journal on Matrix Analysis and Applications - 3 publications
  • International Journal for Numerical Methods in Engineering - 3 publications

Among recent scientific papers authored or co-authored by Eric Darve are:

  • Learning constitutive relations from indirect observations using deep neural networks, 2020, Journal of Computational Physics
  • Learning constitutive relations using symmetric positive definite neural networks, 2021, Journal of Computational Physics
  • Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification, 2021, Geophysics
  • A general approach to seismic inversion with automatic differentiation, 2021, Computers & Geosciences
  • Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology, 2020, Journal of Hydrology

Eric Darve is also an author of a book published by the Society for Industrial and Applied Mathematics:

  • Numerical Linear Algebra with Julia, 2021

Best Publications

  • Calculating free energies using average force

    Eric Darve;Andrew Pohorille

  • Adaptive biasing force method for scalar and vector free energy calculations.

    Eric Darve;David Rodríguez-Gómez;Andrew Pohorille

  • The Fast Multipole Method

    Eric Darve

  • The black-box fast multipole method

    William Fong;Eric Darve

  • Liszt: a domain specific language for building portable mesh-based PDE solvers

    Zachary DeVito;Niels Joubert;Francisco Palacios;Stephen Oakley

  • Assembly of finite element methods on graphics processors

    Cris Cecka;Adrian J. Lew;E. Darve

  • Large calculation of the flow over a hypersonic vehicle using a GPU

    Erich Elsen;Patrick LeGresley;Eric Darve

  • Assessing the efficiency of free energy calculation methods.

    David Rodriguez-Gomez;Eric Darve;Andrew Pohorille

  • The Fast Multipole Method I: Error Analysis and Asymptotic Complexity

    Eric Darve

  • An $$\mathcal O (N \log N)$$O(NlogN) Fast Direct Solver for Partial Hierarchically Semi-Separable Matrices

    Sivaram Ambikasaran;Eric Darve

  • A smooth particle-mesh Ewald algorithm for Stokes suspension simulations: The sedimentation of fibers

    David Saintillan;Eric Darve;Eric S. G. Shaqfeh

  • Calculating Free Energies Using a Scaled-Force Molecular Dynamics Algorithm

    Eric Darve;Michael A. Wilson;Andrew Pohorille

  • Computing generalized Langevin equations and generalized Fokker-Planck equations.

    Eric Darve;Jose Solomon;Amirali Kia

  • Learning constitutive relations from indirect observations using deep neural networks

    Daniel Z. Huang;Kailai Xu;Charbel Farhat;Eric Darve

  • Learning constitutive relations using symmetric positive definite neural networks

    Kailai Xu;Daniel Z. Huang;Eric Darve

  • Molecular dynamics simulation of electro-osmotic flows in rough wall nanochannels

    Daejoong Kim;Eric Darve

  • Efficient fast multipole method for low-frequency scattering

    Eric Darve;Pascal Havé

  • A fast block low-rank dense solver with applications to finite-element matrices

    AmirHossein Aminfar;Sivaram Ambikasaran;Eric Darve

  • Hydrodynamic interactions in the induced-charge electrophoresis of colloidal rod dispersions

    David Saintillan;Eric Darve;Eric S. G. Shaqfeh

  • Computing the non-Markovian coarse-grained interactions derived from the Mori-Zwanzig formalism in molecular systems: Application to polymer melts.

    Zhen Li;Hee Sun Lee;Eric Darve;George Em Karniadakis

  • A fast multipole method for Maxwell equations stable at all frequencies.

    Eric Darve;Pascal Havé

  • Calculating Free Energies Using Scaled-Force Molecular Dynamics Algorithm

    Eric Darve;Micahel A. Wilson;Andrew Pohorille

Frequent Co-Authors

Peter K. Kitanidis
Peter K. Kitanidis Stanford University
Eric S. G. Shaqfeh
Eric S. G. Shaqfeh Stanford University
Andrew Pohorille
Andrew Pohorille Ames Research Center
Jay W. Grate
Jay W. Grate Pacific Northwest National Laboratory
Raymond S. Tuminaro
Raymond S. Tuminaro Sandia National Laboratories
Daniel Cer
Daniel Cer Google (United States)
Michael W. Mahoney
Michael W. Mahoney University of California, Berkeley
Juan J. Alonso
Juan J. Alonso Stanford University
Alexandre M. Tartakovsky
Alexandre M. Tartakovsky University of Illinois at Urbana-Champaign
Gregory C. Beroza
Gregory C. Beroza Stanford 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 Eric Darve

Trending Scientists

Recently Published Articles