World's Best Scientists 2026 revealed!

D-Index & Metrics

Earth Science

D-Index
58
Citations
18691
World Ranking
2113
National Ranking
914

Kurt J. Marfurt 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 Kurt J. Marfurt 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+

This scientist: 542 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Kurt J. Marfurt 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 Kurt J. Marfurt 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+

This scientist: 58 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Kurt J. Marfurt is affiliated with the University of Oklahoma in the United States. Their research focuses primarily on Earth and Planetary Sciences, with a strong emphasis on Geophysics. Their work also spans related fields such as Engineering, Ocean Engineering, Mechanical Engineering, Mechanics of Materials, and Artificial Intelligence.

The primary topics covered in their research include:

  • Seismic Imaging and Inversion Techniques
  • Reservoir Engineering and Simulation Methods
  • Hydraulic Fracturing and Reservoir Analysis
  • Hydrocarbon Exploration and Reservoir Analysis
  • Seismic Waves and Analysis
  • Earthquake and Tectonic Studies
  • Drilling and Well Engineering

Marfurt has published extensively, with significant contributions to publication venues such as:

  • Interpretation (28 publications)
  • The Leading Edge (5 publications)
  • Second International Meeting for Applied Geoscience & Energy (3 publications)
  • First Break (3 publications)
  • Marine and Petroleum Geology (2 publications)

Frequent coauthors collaborating with Marfurt include:

  • Heather Bedle (18 joint publications)
  • Satinder Chopra (9 joint publications)
  • David Lubo-Robles (8 joint publications)
  • Matthew J. Pranter (7 joint publications)
  • B. M. Carpenter (5 joint publications)

Recent papers authored or coauthored by Marfurt include:

  • "Petrographic microfacies classification with deep convolutional neural networks," 2020, Computers & Geosciences
  • "CONVOLUTIONAL NEURAL NETWORKS AS AN AID TO BIOSTRATIGRAPHY AND MICROPALEONTOLOGY: A TEST ON LATE PALEOZOIC MICROFOSSILS," 2020, Palaios
  • "Practical Aspects of Upscaling Geocellular Geological Models for Reservoir Fluid Flow Simulations: A Case Study in Integrating Geology, Geophysics, and Petroleum Engineering Multiscale Data from the Hunton Group," 2020, Energies
  • "A review of seismic attribute taxonomies, discussion of their historical use, and presentation of a seismic attribute communication framework using data analysis concepts," 2021, Interpretation
  • "Evaluation of principal component analysis for seismic attribute selection and self-organizing maps for seismic facies discrimination in the presence of gas hydrates," 2023, Marine and Petroleum Geology

In addition to articles, Marfurt has contributed to book publications, including a recent work titled Essentials of Seismic Attributes and Impedance Inversion published by the Society of Exploration Geophysicists in 2024.

Best Publications

  • Seismic Attributes for Prospect Identification and Reservoir Characterization

    Satinder Chopra;Kurt J. Marfurt

  • Accuracy of finite-difference and finite-element modeling of the scalar and elastic wave equations

    Kurt J. Marfurt

  • 3-D seismic attributes using a semblance‐based coherency algorithm

    Kurt J. Marfurt;R. Lynn Kirlin;Steven L. Farmer;Michael S. Bahorich

  • Marmousi2 An elastic upgrade for Marmousi

    Gary S. Martin;Robert Wiley;Kurt J. Marfurt

  • Seismic attributes — A historical perspective

    Satinder Chopra;Kurt J. Marfurt

  • Eigenstructure-based coherence computations as an aid to 3-D structural and stratigraphic mapping

    Adam Gersztenkorn;Kurt J. Marfurt

  • 3D volumetric multispectral estimates of reflector curvature and rotation

    Saleh Al-Dossary;Kurt J. Marfurt

  • Reverse-time migration using the Poynting vector

    Kwangjin Yoon;Kurt J. Marfurt

  • Coherency calculations in the presence of structural dip

    Kurt J. Marfurt;V. Sudhaker;Adam Gersztenkorn;Kelley D. Crawford

  • Robust estimates of 3D reflector dip and azimuth

    Kurt J. Marfurt

  • Narrow-band spectral analysis and thin-bed tuning

    K. J. Marfurt;R. L. Kirlin

  • A comparison of classification techniques for seismic facies recognition

    Tao Zhao;Vikram Jayaram;Atish Roy;Kurt J. Marfurt

  • Instantaneous spectral attributes to detect channels

    Jianlei Liu;Kurt J. Marfurt

  • Challenges In Reverse-time Migration

    Kwangjin Yoon;Kurt J. Marfurt;William Starr

  • Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis

    Rafael Pires de Lima;Kurt J. Marfurt

  • Emerging and future trends in seismic attributes

    Satinder Chopra;Kurt J. Marfurt

  • Kirchhoff modeling, inversion for reflectivity, and subsurface illumination

    Bertrand Duquet;Kurt J. Marfurt;Joe A. Dellinger

  • Spectral decomposition for seismic interpretation

    Gregory A. Partyka;James M. Gridley;Kurt J. Marfurt;R. Lynn Kirlin

  • Efficient calculation of a partial-derivative wavefield using reciprocity for seismic imaging and inversion

    Changsoo Shin;Kwangjin Yoon;Kurt J. Marfurt;Keunpil Park

  • Marmousi-2: An Updated Model for the Investigation of AVO in Structurally Complex Areas

    Gary S. Martin;Kurt J. Marfurt;Shawn Larsen

Frequent Co-Authors

Hongliu Zeng
Hongliu Zeng The University of Texas at Austin
Ze'ev Reches
Ze'ev Reches University of Oklahoma
Brett M. Carpenter
Brett M. Carpenter University of Oklahoma
G. Randy Keller
G. Randy Keller University of Oklahoma
Gerard T. Schuster
Gerard T. Schuster University of Utah
Carl H. Sondergeld
Carl H. Sondergeld University of Oklahoma
Chandra Rai
Chandra Rai University of Oklahoma
Michael A. Murphy
Michael A. Murphy University of Houston
Younane N. Abousleiman
Younane N. Abousleiman University of Oklahoma
Xinming Wu
Xinming Wu University of Science and Technology of China

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