World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
20468
World Ranking
2848
National Ranking
1408

Charles A. Bouman 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 Charles A. Bouman 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: 508 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Charles A. Bouman 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 Charles A. Bouman 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - Fellow, National Academy of Inventors
  • 2008 - SPIE Fellow

Overview

Charles A. Bouman is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans the fields of Medicine and Engineering, with a particular focus on subfields including Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computer Vision and Pattern Recognition, and Atomic and Molecular Physics, and Optics.

The scientist's work centers on several key topics such as Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, Nuclear Physics and Applications, Advanced MRI Techniques and Applications, Advanced X-ray Imaging Techniques, Photoacoustic and Ultrasonic Imaging, and Radiation Dose and Imaging.

Charles A. Bouman has contributed to numerous publications across multiple venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Imaging
  • IEEE Signal Processing Magazine
  • Optics Express
  • 2021 55th Asilomar Conference on Signals, Systems, and Computers

Among recent papers authored or coauthored are:

  • "X-ray computed tomography" (2021), Nature Reviews Methods Primers
  • "Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery" (2020), IEEE Signal Processing Magazine
  • "Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications" (2023), IEEE Signal Processing Magazine
  • "Fast and Robust UAV to UAV Detection and Tracking From Video" (2021), IEEE Transactions on Emerging Topics in Computing
  • "Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging" (2022), arXiv (Cornell University)

The scientist has collaborated frequently with several coauthors, including:

  • Gregery T. Buzzard
  • Singanallur Venkatakrishnan
  • Brendt Wohlberg
  • Diyu Yang
  • Shimin Tang

Charles A. Bouman has published a book titled Foundations of Computational Imaging: A Model-Based Approach in 2022, released by the Society for Industrial and Applied Mathematics.

Recognitions received by the scientist include being named a Fellow of the National Academy of Inventors in 2015 and a SPIE Fellow in 2008.

Best Publications

  • A generalized Gaussian image model for edge-preserving MAP estimation

    C. Bouman;K. Sauer

  • A three-dimensional statistical approach to improved image quality for multislice helical CT.

    Jean-Baptiste Thibault;Ken D. Sauer;Charles A. Bouman;Jiang Hsieh

  • Plug-and-Play priors for model based reconstruction

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

  • A multiscale random field model for Bayesian image segmentation

    C.A. Bouman;M. Shapiro

  • X-ray computed tomography

    Philip J. Withers;Charles Bouman;Simone Carmignato;Veerle Cnudde;Veerle Cnudde

  • Color quantization of images

    M.T. Orchard;C.A. Bouman

  • A local update strategy for iterative reconstruction from projections

    K. Sauer;C. Bouman

  • Multiple resolution segmentation of textured images

    C. Bouman;B. Liu

  • A unified approach to statistical tomography using coordinate descent optimization

    C.A. Bouman;K. Sauer

  • Fast Model-Based X-Ray CT Reconstruction Using Spatially Nonhomogeneous ICD Optimization

    Zhou Yu;J Thibault;C A Bouman;K D Sauer

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

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

  • Direct reconstruction of kinetic parameter images from dynamic PET data

    M.E. Kamasak;C.A. Bouman;E.D. Morris;K. Sauer

  • CLUSTER: An Unsupervised Algorithm for Modeling Gaussian Mixtures

    Charles A. Bouman

  • Optimal image scaling using pixel classification

    C.B. Atkins;C.A. Bouman;J.P. Allebach

  • ML parameter estimation for Markov random fields with applications to Bayesian tomography

    S.S. Saquib;C.A. Bouman;K. Sauer

  • Perceptual image similarity experiments

    Bernice E. Rogowitz;Thomas Frese;John R. Smith;Charles A. Bouman

  • Hierarchical browsing and search of large image databases

    Jau-Yuen Chen;C.A. Bouman;J.C. Dalton

  • Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery

    Rizwan Ahmad;Charles A. Bouman;Gregery T. Buzzard;Stanley Chan

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

    Unknown

  • Optimized error diffusion for image display

    Bernd W. Kolpatzik;Charles A. Bouman

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

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

  • ViBE: a compressed video database structured for active browsing and search

    C. Taskiran;Jau-Yuen Chen;A. Albiol;L. Torres

Frequent Co-Authors

Jan P. Allebach
Jan P. Allebach Purdue University West Lafayette
Edward J. Delp
Edward J. Delp Purdue University West Lafayette
Jiang Hsieh
Jiang Hsieh General Electric (Spain)
Eric L. Miller
Eric L. Miller Tufts University
Jong Chul Ye
Jong Chul Ye Korea Advanced Institute of Science and Technology
Anthony A. Maciejewski
Anthony A. Maciejewski Colorado State University
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Patrick J. Wolfe
Patrick J. Wolfe Purdue University West Lafayette
Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Michael D. Uchic
Michael D. Uchic United States Air Force Research Laboratory

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