World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8030
World Ranking
6550
National Ranking
2896

Mark A. Anastasio 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 Mark A. Anastasio 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 403 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Mark A. Anastasio 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 Mark A. Anastasio sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 47 D-Index — 56th percentile

56% 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

  • 2018 - SPIE Fellow
  • 2016 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Mark A. Anastasio is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple intersecting fields including Engineering, Medicine, and Computer Science, with a notable focus on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, and Computer Vision and Pattern Recognition. Their work also intersects with Artificial Intelligence and Biophysics.

The scientist's research topics encompass a broad range of imaging and analysis techniques. Key topics include Photoacoustic and Ultrasonic Imaging, Medical Imaging Techniques and Applications, Optical Imaging and Spectroscopy Techniques, Generative Adversarial Networks and Image Synthesis, Ultrasound Imaging and Elastography, Advanced X-ray and CT Imaging, and Cell Image Analysis Techniques.

Among their recent publications are:

  • High-resolution transcriptional and morphogenetic profiling of cells from micropatterned human ESC gastruloid cultures (2020, eLife)
  • Live-dead assay on unlabeled cells using phase imaging with computational specificity (2022, Nature Communications)
  • Deeply-supervised density regression for automatic cell counting in microscopy images (2020, Medical Image Analysis)
  • Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks (2021, IEEE Transactions on Medical Imaging)
  • Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy (2024, Nature Communications)

The venues where they have frequently published include arXiv (Cornell University), Harvard Dataverse, IEEE Transactions on Medical Imaging, bioRxiv (Cold Spring Harbor Laboratory), and the Journal of Medical Imaging.

Mark A. Anastasio has collaborated extensively with several co-authors, including Umberto Villa, Frank J. Brooks, Hua Li, Weimin Zhou, and Seonyeong Park.

The scientist has been recognized with several awards, including the SPIE Fellow in 2018 and Fellowship at the Indian National Academy of Engineering (INAE) in 2016.

Best Publications

  • Imaging challenges in biomaterials and tissue engineering.

    Alyssa A. Appel;Mark A. Anastasio;Jeffery C. Larson;Jeffery C. Larson;Eric M. Brey;Eric M. Brey

  • Multiple-image radiography

    Miles N Wernick;Oliver Wirjadi;Oliver Wirjadi;Dean Chapman;Zhong Zhong

  • Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography With Acoustically Inhomogeneous Media

    Chao Huang;Kun Wang;Liming Nie;L. V. Wang

  • Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography

    Kun Wang;Richard Su;Alexander A Oraevsky;Mark A Anastasio

  • Whole-body ring-shaped confocal photoacoustic computed tomography of small animals in vivo

    Jun Xia;Muhammad R. Chatni;Konstantin I. Maslov;Zijian Guo

  • An Imaging Model Incorporating Ultrasonic Transducer Properties for Three-Dimensional Optoacoustic Tomography

    Kun Wang;Sergey A Ermilov;Richard Su;Hans-Peter Brecht

  • Waveform inversion with source encoding for breast sound speed reconstruction in ultrasound computed tomography

    Kun Wang;Thomas Matthews;Fatima Anis;Cuiping Li

  • Half-time image reconstruction in thermoacoustic tomography

    M.A. Anastasio;Jin Zhang;Xiaochuan Pan;Yu Zou

  • Application of inverse source concepts to photoacoustic tomography

    Mark A Anastasio;Jin Zhang;Dimple Modgil;Patrick J La Rivière

  • Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curves

    M.A. Kupinski;M.A. Anastasio

  • Aberration correction for transcranial photoacoustic tomography of primates employing adjunct image data

    Chao Huang;Liming Nie;Robert W. Schoonover;Zijian Guo

  • Enhancement of photoacoustic tomography by ultrasonic computed tomography based on optical excitation of elements of a full-ring transducer array.

    Jun Xia;Chao Huang;Konstantin Maslov;Mark A. Anastasio

  • Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging.

    Yang Lou;Weimin Zhou;Thomas P. Matthews;Catherine M. Appleton

  • A survey of computational frameworks for solving the acoustic inverse problem in three-dimensional photoacoustic computed tomography.

    Joemini Poudel;Yang Lou;Mark A Anastasio

  • A physical model of multiple-image radiography

    Gocha Khelashvili;Jovan G Brankov;Dean Chapman;Mark A Anastasio

  • Statistical Reconstruction of Material Decomposed Data in Spectral CT

    C. O. Schirra;E. Roessl;T. Koehler;B. Brendel

  • Image reconstruction in optoacoustic tomography for dispersive acoustic media.

    Patrick J. La Rivière;Jin Zhang;Mark A. Anastasio

  • Photoacoustic and thermoacoustic tomography: Image formation principles

    Kun Wang;Mark A. Anastasio

  • Photoacoustic computed tomography correcting for heterogeneity and attenuation.

    Chao Huang;Liming Nie;Robert W. Schoonover;Lihong V. Wang

  • k-space undersampling in PROPELLER imaging.

    Konstantinos Arfanakis;Konstantinos Arfanakis;Ashish A. Tamhane;James G. Pipe;Mark A. Anastasio

Frequent Co-Authors

Lihong V. Wang
Lihong V. Wang California Institute of Technology
Xiaochuan Pan
Xiaochuan Pan University of Chicago
Eric M. Brey
Eric M. Brey The University of Texas at San Antonio
Konstantin Maslov
Konstantin Maslov California Institute of Technology
Miles N. Wernick
Miles N. Wernick Illinois Institute of Technology
Emil Y. Sidky
Emil Y. Sidky University of Chicago
Lilianna Solnica-Krezel
Lilianna Solnica-Krezel Washington University in St. Louis
Su Ruan
Su Ruan University of Rouen
Yongyi Yang
Yongyi Yang Illinois Institute of Technology
Konstantinos Arfanakis
Konstantinos Arfanakis Illinois Institute of Technology

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