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Maša Prodanović 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 Maša Prodanović sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

The last bar groups every scientist with 510 publications or more.

Maša Prodanović 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 Maša Prodanović sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

The last bar groups every scientist with 94 D-Index or more.

Overview

Maša Prodanović is affiliated with The University of Texas at Austin in the United States. Their research focuses primarily within the field of Engineering, with subfields including Ocean Engineering, Mechanical Engineering, Mechanics of Materials, Computational Mechanics, and Environmental Engineering.

The scientist's publication record spans several key topics related to fluid flow and porous media, including:

  • Enhanced Oil Recovery Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Hydrocarbon Exploration and Reservoir Analysis
  • Lattice Boltzmann Simulation Studies
  • Seismic Imaging and Inversion Techniques
  • Drilling and Well Engineering
  • Reservoir Engineering and Simulation Methods

Maša Prodanović has published extensively in venues such as:

  • arXiv (Cornell University)
  • Transport in Porous Media
  • SPE Journal
  • Computers & Geosciences
  • SPE Annual Technical Conference and Exhibition

Recent papers include:

  • PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media, 2020, Advances in Water Resources
  • Computationally efficient multiscale neural networks applied to fluid flow in complex 3D porous media, 2024, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning, 2021, arXiv (Cornell University)
  • Modeling Nanoconfinement Effects Using Active Learning, 2020, The Journal of Physical Chemistry C
  • Prediction of local concentration fields in porous media with chemical reaction using a multi scale convolutional neural network, 2022, Chemical Engineering Journal

The scientist has collaborated frequently with colleagues such as Michael J. Pyrcz, Javier E. Santos, Christopher J. Landry, Hari Viswanathan, and Honggeun Jo.

Best Publications

  • Multiscale, Multiphysics Network Modeling of Shale Matrix Gas Flows

    Ayaz Mehmani;Maša Prodanović;Farzam Javadpour

  • A level set method for determining critical curvatures for drainage and imbibition

    Maša Prodanović;Steven L. Bryant

  • 3D image-based characterization of fluid displacement in a Berea core

    Masa Prodanovic;W. B. Lindquist;R. S. Seright

  • PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media

    Javier E. Santos;Duo Xu;Honggeun Jo;Christopher J. Landry

  • Theoretical and experimental investigation of the motion of multiphase fluids containing paramagnetic nanoparticles in porous media

    Seungyup Ryoo;Amir R. Rahmani;Ki Youl Yoon;Maša Prodanović

  • Porous structure and fluid partitioning in polyethylene cores from 3D X-ray microtomographic imaging.

    Masa Prodanovic;W. B. Lindquist;R. S. Seright

  • The effect of microporosity on transport properties in porous media

    Ayaz Mehmani;Maša Prodanović

  • Viscosity and stability of ultra-high internal phase CO2-in-water foams stabilized with surfactants and nanoparticles with or without polyelectrolytes.

    Zheng Xue;Andrew Worthen;Ali Qajar;Isaiah Robert

  • Network model investigation of interfacial area, capillary pressure and saturation relationships in granular porous media.

    V. Joekar-Niasar;Masa Prodanovic;D. Wildenschild;S. M. Hassanizadeh

  • Pore-Scale Determination of Gas Relative Permeability in Hydrate-Bearing Sediments Using X-Ray Computed Micro-Tomography and Lattice Boltzmann Method

    Xiongyu Chen;Rahul Verma;D. Nicolas Espinoza;Maša Prodanović

  • A level set method for simulating capillary-controlled displacements at the pore scale with nonzero contact angles

    Espen Jettestuen;Johan O. Helland;Maša Prodanović

  • Direct simulation of supercritical gas flow in complex nanoporous media and prediction of apparent permeability

    Christopher J. Landry;Maša Prodanović;Peter Eichhubl

  • Theoretical and Experimental Investigation of the Motion of Multiphase Fluids Containing Paramagnetic Nanoparticles in Porous Media

    Seungyup Ryoo;Amir Reza Rahmani;Ki Youl Yoon;Masa Prodanovic

  • Imaged-based multiscale network modelling of microporosity in carbonates

    Maša Prodanović;Ayaz Mehmani;Adrian P. Sheppard

  • Stable Citrate-Coated Iron Oxide Superparamagnetic Nanoclusters at High Salinity

    Csaba Kotsmar;Ki Youl Yoon;Haiyang Yu;Seung Yup Ryoo

  • Engineered Nanoparticles as Harsh-Condition Emulsion and Foam Stabilizers and as Novel Sensors

    Tiantian Zhang;David Espinosa;Ki Youl Yoon;Amir R. Rahmani

  • Effects of Magnetic Field on the Motion of Multiphase Fluids Containing Paramagnetic Particles in Porous Media

    Masa Prodanovic;Seungyup Ryoo;Amir Reza Rahmani;Roman V. Kuranov

  • Interaction between cemented natural fractures and hydraulic fractures assessed by experiments and numerical simulations

    Weiwei Wang;Weiwei Wang;Jon E. Olson;Maša Prodanović;Richard A. Schultz

  • X-Ray Computed Microtomography Studies of Fluid Partitioning in Drainage and Imbibition Before and After Gel Placement: Disproportionate Permeability Reduction

    Randall S. Seright;Masa Prodanovic;W. Brent Lindquist

  • Pore-scale modeling of carbonates

    Ayaz Mehmani;Rahul Verma;Maša Prodanović

  • New Classification of Carbonate Rocks for Process-Based Pore-Scale Modeling

    Maryam A. Mousavi;Maša Prodanovic;David Jacobi

  • Investigating Matrix/Fracture Transfer via a Level Set Method for Drainage and Imbibition

    Maša Prodanovic;Steven L. Bryant;Zuleima T. Karpyn

  • The application of sorption hysteresis in nano-petrophysics using multiscale multiphysics network models

    Ayaz Mehmani;Maša Prodanović

  • Deformation-assisted fluid percolation in rock salt

    Soheil Ghanbarzadeh;Marc Andre Hesse;Masa Prodanovic;James E Gardner

  • Prediction of empirical properties using direct pore-scale simulation of straining through 3D microtomography images of porous media

    Maryam Mirabolghasemi;Maša Prodanović;David DiCarlo;Hongyu Ji

Frequent Co-Authors

Steven L. Bryant
Steven L. Bryant University of Calgary
Chun Huh
Chun Huh The University of Texas at Austin
Peter Eichhubl
Peter Eichhubl The University of Texas at Austin
David A. DiCarlo
David A. DiCarlo The University of Texas at Austin
Keith P. Johnston
Keith P. Johnston The University of Texas at Austin
Randall S. Seright
Randall S. Seright New Mexico Institute of Mining and Technology
Hari S. Viswanathan
Hari S. Viswanathan Los Alamos National Laboratory
Matthew T. Balhoff
Matthew T. Balhoff The University of Texas at Austin
Kitty L. Milliken
Kitty L. Milliken The University of Texas at Austin
Qinjun Kang
Qinjun Kang Los Alamos National Laboratory

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