World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
10682
World Ranking
9533
National Ranking
4041

Emil Y. Sidky 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 Emil Y. Sidky 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Emil Y. Sidky 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 Emil Y. Sidky 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Emil Y. Sidky is affiliated with the University of Chicago in the United States and has contributed extensively to the fields of medicine and engineering, with a particular focus on radiology, nuclear medicine, and imaging. Their research spans a range of topics primarily centered on medical imaging techniques and advanced X-ray and CT imaging.

Their recent scholarly output includes multiple publications in notable scientific venues. Selected papers by Emil Y. Sidky include:

  • Do CNNs Solve the CT Inverse Problem? (2020), published in IEEE Transactions on Biomedical Engineering
  • Report on the AAPM deep-learning sparse-view CT grand challenge (2022), published in Medical Physics

Other significant works co-authored include studies on image reconstruction and spectral CT published in Medical Image Analysis, Computerized Medical Imaging and Graphics, and Medical Physics, reflecting a collaboration across several specialized journals in the domain.

Emil Y. Sidky frequently collaborates with researchers such as Xiaochuan Pan, Buxin Chen, Dan Xia, Zheng Zhang, and Taly Gilat Schmidt. This network of coauthors indicates active contributions to interdisciplinary projects within biomedical engineering and advanced imaging methods.

Publication venues where Emil Y. Sidky has repeatedly contributed include:

  • Medical Physics
  • arXiv (Cornell University)
  • 7th International Conference on Image Formation in X-Ray Computed Tomography
  • IEEE Transactions on Biomedical Engineering
  • Journal of Magnetic Resonance

The principal areas of study associated with Emil Y. Sidky's work are Medicine and Engineering, with subfields focusing on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Atomic and Molecular Physics, Radiation, and Electrical and Electronic Engineering.

The main research topics addressed in their publications include:

  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Advanced MRI Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Atomic and Subatomic Physics Research
  • Welding Techniques and Residual Stresses

This extensive publication record and range of research topics emphasize a focus on improving imaging technologies and methods relevant to medical diagnostics and treatment planning.

Best Publications

  • Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization

    Emil Y Sidky;Xiaochuan Pan

  • Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT

    Emil Y. Sidky;Chien-Min Kao;Xiaochuan Pan

  • Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?

    Xiaochuan Pan;Emil Y Sidky;Michael Vannier

  • Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT.

    Junguo Bian;Jeffrey H Siewerdsen;Xiao Han;Emil Y Sidky

  • Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm

    Emil Y. Sidky;Jakob Heide Jørgensen;Xiaochuan Pan

  • Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms.

    Emil Y. Sidky;Xiaochuan Pan;Ingrid S. Reiser;Robert M. Nishikawa

  • A robust method of x-ray source spectrum estimation from transmission measurements: Demonstrated on computer simulated, scatter-free transmission data

    Emil Y. Sidky;Lifeng Yu;Xiaochuan Pan;Yu Zou

  • Image reconstruction in regions-of-interest from truncated projections in a reduced fan-beam scan.

    Yu Zou;Xiaochuan Pan;Emil Y Sidky

  • Algorithm-Enabled Low-Dose Micro-CT Imaging

    Xiao Han;Junguo Bian;D R Eaker;T L Kline

  • Accurate image reconstruction from few-view and limited-angle data in diffraction tomography.

    Samuel J. LaRoque;Emil Y. Sidky;Xiaochuan Pan

  • Compressive sensing in medical imaging

    Christian G. Graff;Emil Y. Sidky

  • Region of interest reconstruction from truncated data in circular cone-beam CT

    Lifeng Yu;Yu Zou;E.Y. Sidky;C.A. Pelizzari

  • Optimization-based reconstruction of sparse images from few-view projections.

    Xiao Han;Junguo Bian;Erik L Ritman;Emil Y Sidky

  • Theory and algorithms for image reconstruction on chords and within regions of interest

    Yu Zou;Xiaochuan Pan;Emil Y Sidky

  • A constrained, total-variation minimization algorithm for low-intensity x-ray CT

    Emil Y. Sidky;Yuval Duchin;Xiaochuan Pan;Christer Ullberg

  • Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT

    Emil Y. Sidky;Chien-Min Kao;Xiaochuan Pan

  • Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT

    J. S. Jorgensen;E. Y. Sidky;X. Pan

  • Imaging system performing substantially exact reconstruction and using non-traditional trajectories

    Xiaochuan Pan;Yu Zou;Lifeng Yu;Chien-Min Kao

  • An algorithm for constrained one-step inversion of spectral CT data.

    Rina Foygel Barber;Emil Y Sidky;Taly Gilat Schmidt;Xiaochuan Pan

  • A constrained, total-variation minimization algorithm for low-intensity X-ray CT

    Emil Y. Sidky;Yuval Duchin;Christer Ullberg;Xiaochuan Pan

  • Image reconstruction from limited or incomplete data

    Xiaochuan M. Pan;Emil Sidky;Chien-Min Kao

  • An algorithm for constrained one-step inversion of spectral CT data

    Rina Foygel Barber;Emil Y. Sidky;Taly Gilat Schmidt;Xiaochuan Pan

  • Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle-Pock algorithm

    Emil Y. Sidky;Jakob H. Jørgensen;Xiaochuan Pan

Frequent Co-Authors

Xiaochuan Pan
Xiaochuan Pan University of Chicago
Mark A. Anastasio
Mark A. Anastasio University of Illinois at Urbana-Champaign
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh
Ling Shao
Ling Shao Terminus International
Maryellen L. Giger
Maryellen L. Giger University of Chicago
Erik L. Ritman
Erik L. Ritman Mayo Clinic
Daniel B. Kopans
Daniel B. Kopans Harvard University
Charles E. Metz
Charles E. Metz University of Chicago
Michael W. Vannier
Michael W. Vannier University of Chicago
Heinrich M. Jaeger
Heinrich M. Jaeger University of Chicago

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