World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
43
Citations
8529
World Ranking
7009
National Ranking
2501

Carlos Torres-Verdín publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Carlos Torres-Verdín sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 511 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Carlos Torres-Verdín D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Carlos Torres-Verdín sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 43 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Carlos Torres-Verdín is affiliated with The University of Texas at Austin in the United States. Their research spans multiple fields within engineering and earth sciences, focusing notably on geophysics and its practical applications in reservoir evaluation and hydrocarbon exploration.

Their recent publications demonstrate engagement with advanced computational and geophysical techniques. Notable works include:

  • "A deep learning approach to the inversion of borehole resistivity measurements" (2020, Computational Geosciences)
  • "Stochastic Pix2pix: A New Machine Learning Method for Geophysical and Well Conditioning of Rule-Based Channel Reservoir Models" (2020, Natural Resources Research)
  • "Error control and loss functions for the deep learning inversion of borehole resistivity measurements" (2020, International Journal for Numerical Methods in Engineering)
  • "Microfluidic Diagnostics of the Impact of Local Microfracture Connectivity on Hydrocarbon Recovery Following Water Injection" (2020, Water Resources Research)
  • "Leveraging digital rock physics workflows in unconventional petrophysics: A review of opportunities, challenges, and benchmarking" (2020, Journal of Petroleum Science and Engineering)

Their primary research topics cover a broad range of areas, including:

  • Seismic Imaging and Inversion Techniques
  • Geophysical and Geoelectrical Methods
  • Hydraulic Fracturing and Reservoir Analysis
  • Geophysical Methods and Applications
  • Hydrocarbon Exploration and Reservoir Analysis
  • NMR Spectroscopy and Applications
  • Drilling and Well Engineering

Carlos Torres-Verdín has contributed extensively within major publication venues such as:

  • Geophysics
  • Petrophysics - The SPWLA Journal of Formation Evaluation and Reservoir Description
  • Texas Digital Library (University of Texas)
  • arXiv (Cornell University)
  • SPWLA 63rd Annual Symposium Transactions

Their collaborative network includes frequent coauthors such as David Pardo, Victor M. Calo, Oliver C. Mullins, Tarek S. Mohamed, and Paweł J. Matuszyk. This reflects interdisciplinary joint work across computational geosciences and engineering fields.

Their research contributions are situated primarily within engineering with 160 publications and earth and planetary sciences encompassing 100 publications. Subfields of particular emphasis include geophysics, ocean engineering, mechanical engineering, mechanics of materials, and nuclear and high energy physics.

Best Publications

  • Assessing the utility of FIB-SEM images for shale digital rock physics

    Shaina Kelly;Hesham El-Sobky;Carlos Torres-Verdin;Matthew Thomas Balhoff

  • Rapid 2.5‐dimensional forward modeling and inversion via a new nonlinear scattering approximation

    Carlos Torres-Verdín;Tarek M. Habashy

  • Principles of spatial surface electric field filtering in magnetotellurics; electromagnetic array profiling (EMAP)

    Carlos Torres-Verdin;Francis X. Bostick

  • Numerical Simulation of Shale-Gas Production: From Pore-Scale Modeling of Slip-Flow, Knudsen Diffusion, and Langmuir Desorption to Reservoir Modeling of Compressible Fluid

    Vahid Shabro;Carlos Torres-Verdin;Farzam Javadpour

  • Numerical Simulation of Mud-Filtrate Invasion in Deviated Wells

    Jianghui Wu;Carlos Torres-Verdin;Kamy Sepehrnoori;Mojdeh Delshad

  • Electrical conductivity, induced polarization, and permeability of the Fontainebleau sandstone

    André Revil;André Revil;Pauline Kessouri;Carlos Torres-Verdín

  • Trace-based and geostatistical inversion of 3-D seismic data for thin-sand delineation: an application in San Jorge Basin, Argentina

    Carlos Torres‐Verdín;Marcos Victoria;Germán Merletti;John Pendrel

  • Random-walk technique for simulating NMR measurements and 2D NMR maps of porous media with relaxing and permeable boundaries.

    Emmanuel Toumelin;Carlos Torres-Verdin;Boqin Sun;Keh Jim Dunn

  • Finite-difference simulation of borehole EM measurements in 3D anisotropic media using coupled scalar-vector potentials

    Junsheng Hou;Junsheng Hou;Robert K. Mallan;Robert K. Mallan;Carlos Torres-Verdín

  • Efficient Numerical Simulation of Axisymmetric Electromagnetic Induction Measurements Using a High-Order Generalized Extended Born Approximation

    Guozhong Gao;C. Torres-Verdin

  • Pore System Characterization and Petrophysical Rock Classification Using a Bimodal Gaussian Density Function

    Chicheng Xu;Carlos Torres-Verdín

  • Fast 1D inversion of logging-while-drilling resistivity measurements for improved estimation of formation resistivity in high-angle and horizontal wells

    David Pardo;Carlos Torres-Verdín

  • Crosshole electromagnetic tomography: A new technology for oil field characterization

    Michael Wilt;H. F. Morrison;Alex Becker;Hung-Wen Tseng

  • Interfacial polarization of disseminated conductive minerals in absence of redox-active species — Part 1: Mechanistic model and validation

    S. Misra;Carlos Torres-Verdin;A. Revil;J. Rasmus

  • Complex conductivity tensor of anisotropic hydrocarbon-bearing shales and mudrocks

    A. Revil;A. Revil;W. F. Woodruff;C. Torres-Verdín;M. Prasad

  • A self-adaptive goal-oriented hp-finite element method with electromagnetic applications. Part II: Electrodynamics

    D. Pardo;L. Demkowicz;C. Torres-Verdín;M. Paszynski

  • Forecasting Gas Production in Organic Shale with the Combined Numerical Simulation of Gas Diffusion in Kerogen, Langmuir Desorption from Kerogen Surfaces, and Advection in Nanopores

    Vahid Shabro;Carlos Torres-Verdin;Kamy Sepehrnoori

  • Two-dimensional high-accuracy simulation of resistivity logging-while-drilling (LWD) measurements using a self-adaptive goal-oriented hp finite element method

    David Pardo;Leszek F. Demkowicz;Carlos Torres-Verdín;Maciej Paszynski;Maciej Paszynski

  • The Influence of Water-Base Mud Properties and Petrophysical Parameters on Mudcake Growth, Filtrate Invasion, and Formation Pressure

    Jianghui Wu;Carlos Torres-Verdin;Kamy Sepehrnoori;Mark A. Proett

  • A goal-oriented hp-adaptive finite element method with electromagnetic applications. Part I: Electrostatics

    D. Pardo;L. Demkowicz;C. Torres-Verdín;L. Tabarovsky

  • Linear iterative refinement method for the rapid simulation of borehole nuclear measurements: Part I — Vertical wells

    Alberto Mendoza;Carlos Torres-Verdín;Bill Preeg

  • Improved estimation of mineral and fluid volumetric concentrations from well logs in thinly bedded and invaded formations

    Zoya Heidari;Carlos Torres-Verdín;William E. Preeg

  • A two-step linear inversion of two-dimensional electrical conductivity

    C. Torres-Verdin;T.M. Habashy

Frequent Co-Authors

Kamy Sepehrnoori
Kamy Sepehrnoori The University of Texas at Austin
Tarek M. Habashy
Tarek M. Habashy Schlumberger (United States)
André Revil
André Revil Université Savoie Mont Blanc
Leszek Demkowicz
Leszek Demkowicz The University of Texas at Austin
Matthew T. Balhoff
Matthew T. Balhoff The University of Texas at Austin
Mrinal K. Sen
Mrinal K. Sen The University of Texas at Austin
Victor M. Calo
Victor M. Calo Curtin University
Mojdeh Delshad
Mojdeh Delshad The University of Texas at Austin
Alberto Malinverno
Alberto Malinverno Lamont-Doherty Earth Observatory
Mukul M. Sharma
Mukul M. Sharma The University of Texas at Austin

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