World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5952
World Ranking
12058
National Ranking
4914

Gustavo K. Rohde 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 Gustavo K. Rohde 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: 158 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Gustavo K. Rohde 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 Gustavo K. Rohde 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Gustavo K. Rohde is affiliated with the University of Virginia in the United States. Their research spans multiple fields, notably Medicine and Computer Science, with substantial contributions in both domains.

The primary areas of study include:

  • Medicine
  • Computer Science

Within these, notable subfields of study are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Infectious Diseases
  • Neurology

Their work covers significant topics, including:

  • COVID-19 Clinical Research Studies
  • Platelet Disorders and Treatments
  • Retinal Imaging and Analysis
  • Heparin-Induced Thrombocytopenia and Thrombosis
  • Anomaly Detection Techniques and Applications
  • Image and Signal Denoising Methods
  • Digital Imaging for Blood Diseases

Gustavo K. Rohde's recent publications illustrate a blend of biomedical engineering, image analysis, and clinical research. Selected papers include:

  • Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19, 2021, Nature Communications
  • Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning, 2020, Proceedings of the National Academy of Sciences
  • Facial Weakness Analysis and Quantification of Static Images, 2020, IEEE Journal of Biomedical and Health Informatics
  • Video-Based Facial Weakness Analysis, 2021, IEEE Transactions on Biomedical Engineering
  • Transport-based pattern recognition versus deep neural networks in underwater OAM communications, 2021, Journal of the Optical Society of America A

Their frequent coauthors reflect active collaboration with researchers across related fields and include:

  • Abu Hasnat Mohammad Rubaiyat
  • Mohammad Shifat-E-Rabbi
  • Yan Zhuang
  • Xuwang Yin
  • Masako Nishikawa

Gustavo K. Rohde's publishing activity is concentrated in several venues, notably:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Cytometry Part A
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the National Academy of Sciences

Best Publications

  • New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter

    Yaniv Assaf;Yaniv Assaf;Raisa Z. Freidlin;Gustavo K. Rohde;Peter J. Basser

  • Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI

    G.K. Rohde;A.S. Barnett;P.J. Basser;S. Marenco

  • The adaptive bases algorithm for intensity-based nonrigid image registration

    G.K. Rohde;A. Aldroubi;B.M. Dawant

  • Optimal Mass Transport: Signal processing and machine-learning applications

    Soheil Kolouri;Se Rim Park;Matthew Thorpe;Dejan Slepcev

  • A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images

    Wei Wang;Dejan Slepčev;Saurav Basu;John A. Ozolek

  • An In-Depth Survey of Underwater Image Enhancement and Restoration

    Miao Yang;Jintong Hu;Chongyi Li;Gustavo Rohde

  • Sliced Wasserstein Kernels for Probability Distributions

    Soheil Kolouri;Yang Zou;Gustavo K. Rohde

  • Generalized Sliced Wasserstein Distances

    Soheil Kolouri;Kimia Nadjahi;Umut Simsekli;Roland Badeau

  • Robust efficient estimation of heart rate pulse from video

    Shuchang Xu;Lingyun Sun;Gustavo Kunde Rohde

  • Deformation‐based nuclear morphometry: Capturing nuclear shape variation in HeLa cells

    Gustavo K. Rohde;Alexandre J. S. Ribeiro;Kris N. Dahl;Robert F. Murphy

  • Detection and Classification of Thyroid Follicular Lesions Based on Nuclear Structure from Histopathology Images

    Wei Wang;John A. Ozolek;Gustavo K. Rohde

  • Transport-based single frame super resolution of very low resolution face images

    Soheil Kolouri;Gustavo K. Rohde

  • Sliced Wasserstein Distance for Learning Gaussian Mixture Models

    Soheil Kolouri;Gustavo K. Rohde;Heiko Hoffmann

  • Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry

    Saurav Basu;Soheil Kolouri;Gustavo K. Rohde

  • Regional distribution of measurement error in diffusion tensor imaging.

    Stefano Marenco;Robert Rawlings;Gustavo K. Rohde;Alan S. Barnett

  • An Optimal Transportation Approach for Nuclear Structure-Based Pathology

    Wei Wang;J A Ozolek;Dejan Slepčev;Ann B Lee

  • The Radon Cumulative Distribution Transform and Its Application to Image Classification

    Soheil Kolouri;Se Rim Park;Gustavo K. Rohde

  • Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model.

    Soheil Kolouri;Charles E. Martin;Gustavo K. Rohde

  • A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching

    Cheng Chen;Wei Wang;Wei Wang;John A. Ozolek;Gustavo K. Rohde

  • Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning

    John A. Ozolek;Akif Burak Tosun;Wei Wang;Cheng Chen

  • Sliced Wasserstein Auto-Encoders.

    Soheil Kolouri;Phillip E. Pope;Charles E. Martin;Gustavo K. Rohde

  • Analysis of live cell images: Methods, tools and opportunities.

    Thomas A. Nketia;Heba Sailem;Gustavo Rohde;Raghu Machiraju

  • Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images.

    Yue Huang;Han Zheng;Chi Liu;Xinghao Ding

Frequent Co-Authors

Akram Aldroubi
Akram Aldroubi Vanderbilt University
Robert F. Murphy
Robert F. Murphy Carnegie Mellon University
Yue Huang
Yue Huang Xiamen University
Benoit M. Dawant
Benoit M. Dawant Vanderbilt University
Arthur F. Kramer
Arthur F. Kramer Northeastern University
Xinghao Ding
Xinghao Ding Xiamen University
Kirk I. Erickson
Kirk I. Erickson University of Pittsburgh
Edward McAuley
Edward McAuley University of Illinois at Urbana-Champaign
Yutaka Yatomi
Yutaka Yatomi University of Tokyo
Jelena Kovacevic
Jelena Kovacevic New York University

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