World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6576
World Ranking
11132
National Ranking
4620

Brendt Wohlberg publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Brendt Wohlberg sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 186 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Brendt Wohlberg D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Brendt Wohlberg sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Brendt Wohlberg is affiliated with Los Alamos National Laboratory in the United States and specializes in Engineering with a focus on subfields such as Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Geophysics, Biomedical Engineering, and Computer Vision and Pattern Recognition.

Wohlberg's research has contributed extensively to topics including Sparse and Compressive Sensing Techniques, Medical Imaging Techniques and Applications, Photoacoustic and Ultrasonic Imaging, Seismic Imaging and Inversion Techniques, Advanced X-ray Imaging Techniques, Seismic Waves and Analysis, and Image and Signal Denoising Methods.

Recent papers authored or coauthored by Wohlberg include:

  • Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications (2023), published in IEEE Signal Processing Magazine
  • CoIL: Coordinate-Based Internal Learning for Tomographic Imaging (2021), published in IEEE Transactions on Computational Imaging
  • Scalable Plug-and-Play ADMM With Convergence Guarantees (2021), published in IEEE Transactions on Computational Imaging
  • Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion (2023), published in IEEE Signal Processing Magazine
  • SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees (2021), published in IEEE Transactions on Computational Imaging

Wohlberg frequently collaborates with several researchers, including:

  • Ulugbek S. Kamilov
  • Charles A. Bouman
  • Jiaming Liu
  • Youzuo Lin
  • Michael T. McCann

The scientist has published in notable venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Imaging
  • IEEE Signal Processing Magazine
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Open Journal of Signal Processing

Best Publications

  • Plug-and-Play priors for model based reconstruction

    Singanallur V. Venkatakrishnan;Charles A. Bouman;Brendt Wohlberg

  • A review of the fractal image coding literature

    B. Wohlberg;G. De Jager

  • Efficient Algorithms for Convolutional Sparse Representations

    Brendt Wohlberg

  • Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

    Suhas Sreehari;S. V. Venkatakrishnan;Brendt Wohlberg;Gregery T. Buzzard

  • Efficient Minimization Method for a Generalized Total Variation Functional

    P. Rodriguez;B. Wohlberg

  • A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems

    Ulugbek S. Kamilov;Hassan Mansour;Brendt Wohlberg

  • Efficient convolutional sparse coding

    Brendt Wohlberg

  • Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications

    Unknown

  • Convolutional Dictionary Learning: A Comparative Review and New Algorithms

    Cristina Garcia-Cardona;Brendt Wohlberg

  • Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

    Suhas Sreehari;S. V. Venkatakrishnan;Brendt Wohlberg;Lawrence F. Drummy

  • A nonconvex ADMM algorithm for group sparsity with sparse groups

    Rick Chartrand;Brendt Wohlberg

  • Incremental Principal Component Pursuit for Video Background Modeling

    Paul Rodriguez;Brendt Wohlberg

  • An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals

    B. Wohlberg;P. Rodriguez

  • Fast principal component pursuit via alternating minimization

    Paul Rodriguez;Brendt Wohlberg

  • An Online Plug-and-Play Algorithm for Regularized Image Reconstruction

    Yu Sun;Brendt Wohlberg;Ulugbek S. Kamilov

  • Blind Image Deconvolution Motion Blur Estimation

    Felix Krahmer;Youzuo Lin;Bonnie McAdoo;Katharine Ott

  • An Online Plug-and-Play Algorithm for Regularized Image Reconstruction.

    Yu Sun;Brendt Wohlberg;Ulugbek S. Kamilov

  • A Gradient Descent Solution to the Monge-Kantorovich Problem

    Rick Chartrand;Brendt Wohlberg;Kevin R. Vixie;Erik M. Bollt

  • CoIL: Coordinate-based Internal Learning for Tomographic Imaging

    Yu Sun;Jiaming Liu;Mingyang Xie;Brendt Wohlberg

  • Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery

    James Theiler;Clint Scovel;Brendt Wohlberg;Bernard R Foy

  • UPRE method for total variation parameter selection

    Youzuo Lin;Brendt Wohlberg;Hongbin Guo

  • Subsurface characterization with support vector machines

    B. Wohlberg;D.M. Tartakovsky;A. Guadagnini

  • Scalable Plug-and-Play ADMM With Convergence Guarantees

    Yu Sun;Zihui Wu;Xiaojian Xu;Brendt Wohlberg

  • Fast image domain fractal compression by DCT domain block matching

    B.E. Wohlberg;G. de Jager

Frequent Co-Authors

James Theiler
James Theiler Los Alamos National Laboratory
Charles A. Bouman
Charles A. Bouman Purdue University West Lafayette
Alberto Guadagnini
Alberto Guadagnini Polytechnic University of Milan
Alessandro Foi
Alessandro Foi Tampere University
Wotao Yin
Wotao Yin Alibaba Group (China)
Aaron J. Ridley
Aaron J. Ridley University of Michigan–Ann Arbor
Sven C. Vogel
Sven C. Vogel Los Alamos National Laboratory
Yi-Hsuan Yang
Yi-Hsuan Yang National Taiwan University
Mihai Anitescu
Mihai Anitescu Argonne National Laboratory
P. L. McGaughey
P. L. McGaughey Los Alamos National Laboratory

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