World's Best Scientists 2026 revealed!

D-Index & Metrics

Earth Science

D-Index
37
Citations
4493
World Ranking
6961
National Ranking
2419

Dario Grana publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Dario Grana sits on this spectrum.

38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38 publications 603+

This scientist: 191 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

Dario Grana D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Dario Grana sits on this spectrum.

30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 37 D-Index — 27th percentile

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

The last bar groups every scientist with 106 D-Index or more.

Overview

Dario Grana is affiliated with the University of Wyoming in the United States, working primarily within the fields of Engineering and Earth and Planetary Sciences. Their research contributions span several subfields, including Geophysics, Ocean Engineering, Mechanical Engineering, Environmental Engineering, and Mechanics of Materials.

The scientist's work addresses a variety of topics in geosciences and engineering, focusing particularly on seismic and reservoir analysis. Core research areas include:

  • Seismic Imaging and Inversion Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Reservoir Engineering and Simulation Methods
  • Hydrocarbon Exploration and Reservoir Analysis
  • Seismic Waves and Analysis
  • Geophysical and Geoelectrical Methods
  • Drilling and Well Engineering

Dario Grana has published extensively, with notable frequent venues including Geophysics, Mathematical Geosciences, Computers & Geosciences, IEEE Transactions on Geoscience and Remote Sensing, and Geophysical Journal International. The scientist's publication record includes several papers with a significant citation impact, among which are:

  • "Imputation of missing well log data by random forest and its uncertainty analysis," 2021, Computers & Geosciences
  • "Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples," 2022, Geophysics
  • "An unsupervised deep-learning method for porosity estimation based on poststack seismic data," 2020, Geophysics
  • "Bayesian Convolutional Neural Networks for Seismic Facies Classification," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Forest vulnerability to drought controlled by bedrock composition," 2022, Nature Geoscience

Throughout their career, Dario Grana has collaborated frequently with a number of researchers. The most frequent coauthors include Mingliang Liu, Runhai Feng, Tapan Mukerji, Klaus Mosegaard, and A. Parsekian.

Best Publications

  • Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion

    Dario Grana;Ernesto Della Rossa

  • Seismic Reflections of Rock Properties

    Jack Dvorkin;Mario A. Gutierrez;Dario Grana

  • Bayesian Gaussian Mixture Linear Inversion for Geophysical Inverse Problems

    Dario Grana;Torstein Fjeldstad;Henning Omre

  • Bayesian linearized rock-physics inversion

    Dario Grana

  • Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method

    Dario Grana;Tapan Mukerji;Jack Dvorkin;Gary Mavko

  • Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples

    Unknown

  • Quantitative log interpretation and uncertainty propagation of petrophysical properties and facies classification from rock-physics modeling and formation evaluation analysis

    Dario Grana;Marco Pirrone;Tapan Mukerji

  • Imputation of missing well log data by random forest and its uncertainty analysis

    Runhai Feng;Dario Grana;Niels Balling

  • A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data

    Dario Grana;Leonardo Azevedo;Mingliang Liu

  • Seismic Reservoir Modeling

    Unknown

  • An unsupervised deep-learning method for porosity estimation based on poststack seismic dataDeep learning for porosity estimation

    Runhai Feng;Thomas Mejer Hansen;Dario Grana;Niels Balling

  • Bayesian Convolutional Neural Networks for Seismic Facies Classification

    Runhai Feng;Niels Balling;Dario Grana;Jesper Soren Dramsch

  • Joint Bayesian inversion based on rock-physics prior modeling for the estimation of spatially correlated reservoir properties

    Leandro Passos de Figueiredo;Dario Grana;Fernando Luis Bordignon;Marcio Santos

  • Estimating the water holding capacity of the critical zone using near-surface geophysics

    Brady A. Flinchum;Brady A. Flinchum;W. Steven Holbrook;W. Steven Holbrook;Dario Grana;Andrew D. Parsekian

  • Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion

    Leandro Passos de Figueiredo;Dario Grana;Mauro Roisenberg;Bruno B. Rodrigues

  • Bayesian seismic inversion based on rock-physics prior modeling for the joint estimation of acoustic impedance, porosity and lithofacies

    Leandro Passos de Figueiredo;Dario Grana;Marcio Santos;Wagner Figueiredo

  • Uncertainty quantification in fault detection using convolutional neural networks

    Runhai Feng;Dario Grana;Niels Balling

  • Joint probabilistic petrophysics-seismic inversion based on Gaussian mixture and Markov chain prior models

    Torstein Fjeldstad;Dario Grana

  • Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework

    Mingliang Liu;Dario Grana

  • Joint facies and reservoir properties inversion

    Dario Grana

  • Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder

    Mingliang Liu;Dario Grana

  • Effect of CO2-brine-rock reactions on pore architecture and permeability in dolostone: Implications for CO2 storage and EOR

    Heng Wang;Vladimir Alvarado;Davin A. Bagdonas;J. Fred McLaughlin

  • Multimodal Markov chain Monte Carlo method for nonlinear petrophysical seismic inversionMultimodal MCMC inversion

    Leandro Passos de Figueiredo;Dario Grana;Mauro Roisenberg;Bruno B. Rodrigues

  • Bayesian inversion of time-lapse seismic data for the estimation of static reservoir properties and dynamic property changes

    Dario Grana;Tapan Mukerji

  • Stochastic nonlinear inversion of seismic data for the estimation of petroelastic properties using the ensemble smoother and data reparameterization

    Mingliang Liu;Dario Grana

  • Seismic Reflections of Rock Properties: Plate Section

    Jack Dvorkin;Mario A. Gutierrez;Dario Grana

Frequent Co-Authors

Jack Dvorkin
Jack Dvorkin King Fahd University of Petroleum and Minerals
Vladimir Alvarado
Vladimir Alvarado University of Wyoming
Tapan Mukerji
Tapan Mukerji Stanford University
Niels Balling
Niels Balling Aarhus University
Jon Chorover
Jon Chorover University of Arizona
Ingo Pecher
Ingo Pecher GNS Science
Kurt J. Marfurt
Kurt J. Marfurt University of Oklahoma
Manika Prasad
Manika Prasad Colorado School of Mines
Lin Liu
Lin Liu Chinese Academy of Sciences
Hongliu Zeng
Hongliu Zeng The University of Texas at Austin

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