World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
74
Citations
19785
World Ranking
816
National Ranking
285

Sergey Fomel 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 Sergey Fomel 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: 501 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Sergey Fomel 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 Sergey Fomel 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: 74 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Sergey Fomel is affiliated with The University of Texas at Austin in the United States. Their research spans several intersecting fields with a primary focus on Earth and Planetary Sciences, Engineering, and Computer Science. Within these domains, they have contributed extensively to subfields including Geophysics, Ocean Engineering, Artificial Intelligence, Mechanical Engineering, and Computer Vision and Pattern Recognition.

The main topics of Fomel's work cover a broad spectrum involving seismic processes and computational methods. Notable topics include:

  • Seismic Imaging and Inversion Techniques
  • Seismic Waves and Analysis
  • Seismology and Earthquake Studies
  • Geophysical Methods and Applications
  • Drilling and Well Engineering
  • Hydraulic Fracturing and Reservoir Analysis
  • Image and Signal Denoising Methods

The recent papers associated with Sergey Fomel demonstrate active research in seismic and geophysical applications enhanced by deep learning techniques. Selected publications include:

  • "Seismic data interpolation using deep learning with generative adversarial networks," 2020, Geophysical Prospecting
  • "Deep learning for relative geologic time and seismic horizons," 2020, Geophysics
  • "Seismic ground-roll noise attenuation using deep learning," 2020, Geophysical Prospecting
  • "Improving the resolution of migrated images by approximating the inverse Hessian using deep learning," 2020, Geophysics
  • "SCALODEEP: A Highly Generalized Deep Learning Framework for Real-Time Earthquake Detection," 2021, Journal of Geophysical Research Solid Earth

Frequent coauthors in Fomel's work indicate collaboration with several researchers, including:

  • Yangkang Chen
  • Omar M. Saad
  • Alexandros Savvaidis
  • Nam Pham
  • Liuqing Yang

The venues where Sergey Fomel most frequently publishes reflect the interdisciplinary nature of their research. These venues are:

  • Geophysics
  • IEEE Transactions on Geoscience and Remote Sensing
  • Second International Meeting for Applied Geoscience & Energy
  • Geophysical Prospecting
  • Seismological Research Letters

Through a combination of geophysical methods and artificial intelligence, Sergey Fomel's research addresses complex challenges related to seismic imaging, noise attenuation, and earthquake detection. Their publication record and coauthor network indicate ongoing contributions to both fundamental geoscience and applied engineering problems.

Best Publications

  • Applications of plane-wave destruction filters

    Sergey Fomel

  • FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

    Xinming Wu;Luming Liang;Yunzhi Shi;Sergey Fomel

  • Angle-domain common-image gathers by wavefield continuation methods

    Paul C. Sava;Sergey B Fomel

  • Shaping regularization in geophysical-estimation problems

    Sergey Fomel

  • Seislet transform and seislet frame

    Sergey Fomel;Yang Liu

  • Local seismic attributes

    Sergey B Fomel

  • Time-shift imaging condition in seismic migration

    Paul Sava;Sergey B Fomel

  • Seismic wave extrapolation using lowrank symbol approximation

    Sergey B Fomel;Lexing Ying;Xiaolei Song

  • Poststack velocity analysis by separation and imaging of seismic diffractions

    Sergey B Fomel;Evgeny Landa;M. Turhan Taner

  • Random noise attenuation using local signal-and-noise orthogonalization

    Yangkang Chen;Sergey B Fomel

  • Madagascar: open-source software project for multidimensional data analysis and reproducible computational experiments

    Sergey Fomel;Paul Sava;Ioan Vlad;Yang Liu

  • Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization

    Yangkang Chen;Sergey B Fomel;Jingwei Hu

  • Double Sparsity Dictionary for Seismic Noise Attenuation

    Yangkang Chen;Jianwei Ma;Sergey B Fomel

  • Seismic reflection data interpolation with differential offset and shot continuation

    Sergey B Fomel

  • Separation and imaging of seismic diffractions using migrated dip-angle gathers

    Alexander Klokov;Sergey B Fomel

  • Building realistic structure models to train convolutional neural networks for seismic structural interpretation

    Xinming Wu;Zhicheng Geng;Yunzhi Shi;Nam Pham

  • Fast sweeping method for the factored eikonal equation

    Sergey Fomel;Songting Luo;Hongkai Zhao

  • Separation, Imaging, And Velocity Analysis of Seismic Diffractions Using Migrated Dip-angle Gathers

    Evgeny Landa;Sergey B Fomel;Moshe Reshef

  • SaltSeg: Automatic 3D salt segmentation using a deep convolutional neural network

    Yunzhi Shi;Xinming Wu;Sergey Fomel

  • Stacking seismic data using local correlation

    Guochang Liu;Sergey Fomel;Long Jin;Xiaohong Chen

  • Guest Editors' Introduction: Reproducible Research

    S. Fomel;J.F. Claerbout

  • On anelliptic approximations for qP velocities in VTI media

    Sergey Fomel

  • Seismic imaging of incomplete data and simultaneous-source data using least-squares reverse time migration with shaping regularization

    Zhiguang Xue;Yangkang Chen;Sergey B Fomel;Junzhe Sun

Frequent Co-Authors

Xinming Wu
Xinming Wu University of Science and Technology of China
Paul Sava
Paul Sava Colorado School of Mines
Tariq Alkhalifah
Tariq Alkhalifah King Abdullah University of Science and Technology
Yangkang Chen
Yangkang Chen The University of Texas at Austin
Lexing Ying
Lexing Ying Stanford University
Jon F. Claerbout
Jon F. Claerbout Stanford University
Biondo Biondi
Biondo Biondi Stanford University
Mrinal K. Sen
Mrinal K. Sen The University of Texas at Austin
James A. Sethian
James A. Sethian University of California, Berkeley
Mirko van der Baan
Mirko van der Baan University of Alberta

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