World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10242
World Ranking
4866
National Ranking
2268

Punam K. Saha 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 Punam K. Saha 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: 227 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Punam K. Saha 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 Punam K. Saha 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Punam K. Saha is affiliated with the University of Iowa in the United States. Their research primarily falls within the field of Medicine, with a focus on several subfields including Pulmonary and Respiratory Medicine, Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, and Physiology.

Their body of work addresses key topics such as:

  • Bone health and osteoporosis research
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Medical Imaging Techniques and Applications
  • Respiratory Support and Mechanisms
  • Bone and Joint Diseases
  • Radiomics and Machine Learning in Medical Imaging
  • Hip and Femur Fractures

Recent publications by Punam K. Saha include:

  • "A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning" (2020), published in IEEE Transactions on Medical Imaging
  • "A comparative study of trabecular bone micro-structural measurements using different CT modalities" (2020), published in Physics in Medicine and Biology
  • "Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling" (2022), published in Medical Physics
  • "3dSpAn: An interactive software for 3D segmentation and analysis of dendritic spines" (2021), published in Neuroinformatics
  • "Bone and non-contractile soft tissue changes following open kinetic chain resistance training and testosterone treatment in spinal cord injury: an exploratory study" (2021), published in Osteoporosis International

Punam K. Saha has frequently collaborated with several researchers, including:

  • Eric A. Hoffman
  • Alejandro P. Comellas
  • Syed Ahmed Nadeem
  • Xiaoliu Zhang
  • Indranil Guha

The scientist's work appears regularly in key academic venues, most notably:

  • Medical Physics
  • JBMR Plus
  • American Journal of Respiratory and Critical Care Medicine
  • Neuroinformatics
  • Methods

Best Publications

  • CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

    Chenyu You;Wenxiang Cong;Michael W. Vannier;Punam K. Saha

  • Scale-Based Fuzzy Connected Image Segmentation

    Punam K. Saha;Jayaram K. Udupa;Dewey Odhner

  • A survey on skeletonization algorithms and their applications

    Punam K. Saha;Gunilla Borgefors;Gabriella Sanniti di Baja

  • Optimum image thresholding via class uncertainty and region homogeneity

    P.K. Saha;J.K. Udupa

  • Fuzzy connectedness and image segmentation

    J.K. Udupa;P.K. Saha

  • Digital Topological Analysis of In Vivo Magnetic Resonance Microimages of Trabecular Bone Reveals Structural Implications of Osteoporosis

    Felix W. Wehrli;Bryon R. Gomberg;Punam K. Saha;Hee Kwon Song

  • Quantitative MRI for the assessment of bone structure and function.

    Felix W. Wehrli;Hee Kwon Song;Punam K. Saha;Alexander C. Wright

  • 3D Digital Topology under Binary Transformation with Applications

    P.K. Saha;B.B. Chaudhuri

  • Role of magnetic resonance for assessing structure and function of trabecular bone.

    Felix W Wehrli;Punam K Saha;Bryon R Gomberg;Hee Kwon Song

  • A new shape preserving parallel thinning algorithm for 3D digital images

    Punam K. Saha;Bidyut Baran Chaudhuri;D. Dutta Majumder

  • Detection of 3-D simple points for topology preserving transformations with application to thinning

    P.K. Saha;B.B. Chaudhuri

  • Quantification of the Roles of Trabecular Microarchitecture and Trabecular Type in Determining the Elastic Modulus of Human Trabecular Bone

    Xiaowei S Liu;Paul Sajda;Punam K Saha;Felix W Wehrli

  • Disclaimer: "Relative fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation"

    J.K. Udupa;P.K. Saha;R.A. Lotufo

  • Fuzzy distance transform: theory, algorithms, and applications

    Punam K. Saha;Felix W. Wehrli;Bryon R. Gomberg

  • Methodology for evaluating image-segmentation algorithms

    Jayaram K. Udupa;Vicki R. LaBlanc;Hilary Schmidt;Celina Imielinska

  • Breast tissue density quantification via digitized mammograms

    P.K. Saha;J.K. Udupa;E.F. Conant;D.P. Chakraborty

  • CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

    Chenyu You;Guang Li;Yi Zhang;Xiaoliu Zhang

  • Topological analysis of trabecular bone MR images

    B.R. Gomberg;P.K. Saha;Hee Kwon Song;S.N. Hwang

  • Measurement of trabecular bone thickness in the limited resolution regime of in vivo MRI by fuzzy distance transform

    P.K. Saha;F.W. Wehrli

  • Three-dimensional digital topological characterization of cancellous bone architecture

    Punam K. Saha;Bryon R. Gomberg;Felix W. Wehrli

Frequent Co-Authors

Jayaram K. Udupa
Jayaram K. Udupa University of Pennsylvania
Eric A. Hoffman
Eric A. Hoffman University of Iowa
Mita Nasipuri
Mita Nasipuri Jadavpur University
James C. Torner
James C. Torner University of Iowa
Milan Sonka
Milan Sonka University of Iowa
Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Ziyue Xu
Ziyue Xu Nvidia (United States)
Peter J. Snyder
Peter J. Snyder University of Pennsylvania
Ram Sarkar
Ram Sarkar Jadavpur University
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute

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