World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
8826
World Ranking
5427
National Ranking
1522

Aria Abubakar 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 Aria Abubakar 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: 372 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Aria Abubakar 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 Aria Abubakar 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Aria Abubakar is affiliated with Schlumberger in the United States and has a significant presence in the fields of Engineering and Earth and Planetary Sciences. Their research spans multiple subfields, notably Ocean Engineering, Geophysics, Biomedical Engineering, Mechanics of Materials, and Electrical and Electronic Engineering.

The scientist's work focuses extensively on areas including Seismic Imaging and Inversion Techniques, Microwave Imaging and Scattering Analysis, Drilling and Well Engineering, Reservoir Engineering and Simulation Methods, Geophysical Methods and Applications, Hydraulic Fracturing and Reservoir Analysis, and Geophysical and Geoelectrical Methods.

Aria Abubakar's publication record includes contributions to several key venues in the geoscience and engineering communities. Frequent publication venues include:

  • Geophysics
  • The Leading Edge
  • Second International Meeting for Applied Geoscience & Energy
  • IEEE Transactions on Antennas and Propagation
  • SPE Annual Technical Conference and Exhibition

Recent papers authored or co-authored by Aria Abubakar highlight a focus on seismic and electromagnetic imaging techniques and deep learning applications. Notable recent publications include:

  • Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow, 2020, Geophysics
  • Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review, 2021, IEEE Antennas and Propagation Magazine
  • Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • A Supervised Descent Learning Technique for Solving Directional Electromagnetic Logging-While-Drilling Inverse Problems, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Physics Embedded Deep Neural Network for Solving Full-Wave Inverse Scattering Problems, 2021, IEEE Transactions on Antennas and Propagation

Their collaborative network includes frequent co-authors such as Maokun Li, Shenheng Xu, Fan Yang, Haibin Di, and Rui Guo, reflecting a multidisciplinary approach to research and a depth of cooperation within related scientific disciplines.

Best Publications

  • Imaging of biomedical data using a multiplicative regularized contrast source inversion method

    A. Abubakar;P.M. van den Berg;J.J. Mallorqui

  • 2.5D forward and inverse modeling for interpreting low-frequency electromagnetic measurements

    A. Abubakar;T. M. Habashy;V. L. Druskin;L. Knizhnerman

  • Contrast Source Inversion Method: State of Art

    P. M. van den Berg;A. Abubakar

  • Extended contrast source inversion

    P M van den Berg;A L van Broekhoven;A Abubakar

  • A General Framework for Constraint Minimization for the Inversion of Electromagnetic Measurements

    Tarek M. Habashy;Aria Abubakar

  • Microwave-tomographic imaging of the high dielectric-contrast objects using different image-reconstruction approaches

    S.Y. Semenov;A.E. Bulyshev;A. Abubakar;V.G. Posukh

  • Joint electromagnetic and seismic inversion using structural constraints

    Wenyi Hu;Aria Abubakar;Tarek M. Habashy

  • Iterative forward and inverse algorithms based on domain integral equations for three-dimensional electric and magnetic objects

    Aria Abubakar;Peter M. van den Berg

  • Simultaneous multifrequency inversion of full-waveform seismic data

    Wenyi Hu;Aria Abubakar;Tarek M. Habashy

  • Multiplicative regularization for contrast profile inversion

    Peter M. van den Berg;Aria Abubakar;Jacob T. Fokkema

  • A finite-difference contrast source inversion method

    A. Abubakar;W. Hu;P.M. Van Den Berg;T.M. Habashy

  • The contrast source inversion method for location and shape reconstructions

    Aria Abubakar;Peter M van den Berg

  • Joint petrophysical inversion of electromagnetic and full-waveform seismic data

    Guozhong Gao;Aria Abubakar;Tarek M. Habashy

  • Inversion algorithms for large-scale geophysical electromagnetic measurements

    A. Abubakar;T. M. Habashy;M. Li;J. Liu

  • Microwave Biomedical Data Inversion Using the Finite-Difference Contrast Source Inversion Method

    C. Gilmore;A. Abubakar;Wenyi Hu;T.M. Habashy

  • Joint inversion approaches for geophysical electromagnetic and elastic full-waveform data

    A Abubakar;G Gao;T M Habashy;J Liu

  • Supervised Descent Learning Technique for 2-D Microwave Imaging

    Rui Guo;Xiaoqian Song;Maokun Li;Fan Yang

  • TWO- AND THREE-DIMENSIONAL ALGORITHMS FOR MICROWAVE IMAGING AND INVERSE SCATTERING

    A. Abubakar;P. M. van den Berg;S. Y. Semenov

  • Inversion of experimental multi-frequency data using the contrast source inversion method

    Richard F Bloemenkamp;Aria Abubakar;Peter M van den Berg

  • A contrast source inversion method in the wavelet domain

    Maokun Li;Oğuz Semerci;Aria Abubakar

  • Application of the nearly perfectly matched layer in acoustic wave modeling

    Wenyi Hu;Aria Abubakar;Tarek M. Habashy

Frequent Co-Authors

Tarek M. Habashy
Tarek M. Habashy Schlumberger (United States)
Maokun Li
Maokun Li Tsinghua University
Vladimir Druskin
Vladimir Druskin Worcester Polytechnic Institute
Fan Yang
Fan Yang Tsinghua University
Shenheng Xu
Shenheng Xu Tsinghua University
Andrea Massa
Andrea Massa University of Trento
Jordi J. Mallorqui
Jordi J. Mallorqui Universitat Politècnica de Catalunya
Dimitri Komatitsch
Dimitri Komatitsch Aix-Marseille University
Joe LoVetri
Joe LoVetri University of Manitoba
Leung Tsang
Leung Tsang University of Michigan–Ann Arbor

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