World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13871
World Ranking
4037
National Ranking
1924

Badrinath Roysam 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 Badrinath Roysam 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: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Badrinath Roysam 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 Badrinath Roysam 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: 56 D-Index — 72nd percentile

72% 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

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2018 - IEEE Fellow For contributions to image processing algorithms for biological microscopy

Overview

Badrinath Roysam is affiliated with the University of Houston in the United States. Their research spans multiple fields within the biological and computational sciences, with a focus on biochemistry, genetics and molecular biology as well as computer science.

Their primary areas of study include biophysics, artificial intelligence, molecular biology, media technology, and pulmonary and respiratory medicine. Specific research topics addressed by Roysam cover cell image analysis techniques, advanced fluorescence microscopy techniques, image processing techniques and applications, single-cell and spatial transcriptomics, domain adaptation and few-shot learning, and machine learning algorithms and data classification.

Roysam's frequent co-authors are:

  • Hien Van Nguyen
  • Dragan Maric
  • Pietro Antonio Cicalese
  • Jahandar Jahanipour
  • Aryan Mobiny

The scientist's work has been published in a variety of venues, with multiple publications in Nature Methods and Bioinformatics, as well as contributions to Kidney International, Nature Communications, and the Journal of Neurotrauma.

Recent papers authored or co-authored by Roysam include:

  • Artificial intelligence and machine learning in nephropathology, 2020, Kidney International
  • Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks, 2021, Nature Communications
  • BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets, 2023, Nature Methods
  • Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks, 2023, Bioinformatics
  • BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology, 2022, bioRxiv (Cold Spring Harbor Laboratory)

Recognition for contributions in their field includes the IEEE Fellow award in 2018 for contributions to image processing algorithms for biological microscopy, and election as a Fellow of the Indian National Academy of Engineering in 2019.

Best Publications

  • Image change detection algorithms: a systematic survey

    R.J. Radke;S. Andra;O. Al-Kofahi;B. Roysam

  • Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images

    Y. Al-Kofahi;W. Lassoued;W. Lee;B. Roysam

  • Biological imaging software tools

    Kevin W. Eliceiri;Michael R. Berthold;Ilya G. Goldberg;Luis Ibáñez

  • Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms

    Ali Can;Hong Shen;J.N. Turner;H.L. Tanenbaum

  • The dual-bootstrap iterative closest point algorithm with application to retinal image registration

    C.V. Stewart;Chia-Ling Tsai;B. Roysam

  • A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks

    Gang Lin;Umesh Adiga;Umesh Adiga;Kathy Olson;John F. Guzowski

  • A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina

    A. Can;C.V. Stewart;B. Roysam;H.L. Tanenbaum

  • Effects of insertion conditions on tissue strain and vascular damage during neuroprosthetic device insertion.

    C. S. Bjornsson;Seung Jae Oh;Y. A. Al-Kofahi;Y. J. Lim

  • Rapid automated three-dimensional tracing of neurons from confocal image stacks

    K.A. Al-Kofahi;S. Lasek;D.H. Szarowski;C.J. Pace

  • Topographically modified surfaces affect orientation and growth of hippocampal neurons

    N. M. Dowell-Mesfin;N. M. Dowell-Mesfin;M. A. Abdul-Karim;A. M.P. Turner;S. Schanz

  • Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy

    H. Narasimha-Iyer;A. Can;B. Roysam;V. Stewart

  • A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake

    Yu Wang;Arunachalam Narayanaswamy;Chia-Ling Tsai;Badrinath Roysam;Badrinath Roysam

  • Automated Cell Lineage Construction: A Rapid Method to Analyze Clonal Development Established with Murine Neural Progenitor Cells

    Omar Al-Kofahi;Richard J Radke;Susan K Goderie;Qin Shen

  • Spatio-temporal cell cycle phase analysis using level sets and fast marching methods.

    Dirk R. Padfield;Dirk R. Padfield;Jens Rittscher;Nick Thomas;Badrinath Roysam

  • Light Microscopic Images Reconstructed by Maximum Likelihood Deconvolution

    Timothy J. Holmes;Timothy J. Holmes;Santosh Bhattacharyya;Joshua A. Cooper;David Hanzel

  • Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis

    Dirk R. Padfield;Dirk R. Padfield;Jens Rittscher;Badrinath Roysam

  • Robust 3-D Modeling of Vasculature Imagery Using Superellipsoids

    J.A. Tyrrell;E. di Tomaso;D. Fuja;Ricky Tong

  • Hierarchical, model-based merging of multiple fragments for improved three-dimensional segmentation of nuclei.

    Gang Lin;Monica K. Chawla;Kathy Olson;John F. Guzowski

  • Computational prediction of neural progenitor cell fates.

    Andrew R Cohen;Andrew R Cohen;Francisco L A F Gomes;Badrinath Roysam;Michel Cayouette;Michel Cayouette

  • Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissue

    Christopher S Bjornsson;Gang Lin;Yousef Al-Kofahi;Arunachalam Narayanaswamy

Frequent Co-Authors

William Shain
William Shain Seattle Children's Hospital
Ellen A. Robey
Ellen A. Robey University of California, Berkeley
Sally Temple
Sally Temple Rensselaer Polytechnic Institute
Jens Rittscher
Jens Rittscher University of Oxford
Laurence J.N. Cooper
Laurence J.N. Cooper The University of Texas MD Anderson Cancer Center
Rakesh K. Jain
Rakesh K. Jain Harvard University
Richard J. Radke
Richard J. Radke Rensselaer Polytechnic Institute
Gary Banker
Gary Banker Oregon Health & Science University
Carol A. Barnes
Carol A. Barnes University of Arizona
Hanchuan Peng
Hanchuan Peng Southeast University

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