World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
11287
World Ranking
6737
National Ranking
2972

Scott Cohen 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 Scott Cohen 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: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Scott Cohen 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 Scott Cohen 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Scott Cohen is affiliated with Adobe Systems in the United States and has published extensively across the fields of Computer Science and Medicine. Their work primarily intersects advanced computational techniques with medical applications, reflecting a multidisciplinary approach.

Cohen's main areas of study encompass:

  • Computer Science (69 publications)
  • Medicine (62 publications)

Their research subfields include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Nephrology
  • Cardiology and Cardiovascular Medicine
  • Epidemiology

Scott Cohen's key topics of work highlight:

  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Dialysis and Renal Disease Management
  • Congenital Heart Disease Studies
  • Advanced Neural Network Applications

The scientist has collaborated frequently with co-authors including Zhe Lin, Jiebo Luo, Brian Price, Haitian Zheng, and Jingwan Lu.

Scott Cohen has published in a variety of scientific venues, with frequent publications in:

  • arXiv (Cornell University)
  • Journal of the American Society of Nephrology
  • Journal of the American College of Cardiology
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • American Journal of Kidney Diseases

Notable recent papers authored or co-authored by Cohen include:

  • Getting to 99% Accuracy in Interactive Segmentation, 2020, arXiv (Cornell University)
  • Assessing Nephrology Fellows' Skills in Communicating About Kidney Replacement Therapy and Kidney Biopsy: A Multicenter Clinical Simulation Study on Breaking Bad News, 2021, American Journal of Kidney Diseases
  • Physical Activity and Exercise for Cardiorespiratory Health and Fitness in Chronic Kidney Disease, 2022, Reviews in Cardiovascular Medicine
  • Fatigability and the Role of Neuromuscular Impairments in Chronic Kidney Disease, 2022, American Journal of Nephrology
  • Social Support, Caregivers, and Chronic Kidney Disease, 2021, Seminars in Nephrology

In addition to journal publications, Cohen has contributed to book publications, including a title published by the University of Minnesota Press:

  • What We Teach When We Teach DH, 2023

Best Publications

  • Coupled Dictionary Training for Image Super-Resolution

    Jianchao Yang;Zhaowen Wang;Zhe Lin;S. Cohen

  • CVODE, a stiff/nonstiff ODE solver in C

    Scott D. Cohen;Alan C. Hindmarsh

  • YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

    Ning Xu;Linjie Yang;Yuchen Fan;Jianchao Yang

  • Towards unified depth and semantic prediction from a single image

    Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen

  • Deep Image Matting

    Ning Xu;Brian Price;Scott Cohen;Thomas Huang

  • Deep Interactive Object Selection

    Ning Xu;Brian Price;Scott Cohen;Jimei Yang

  • Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

    Jimei Yang;Brian Price;Scott Cohen;Honglak Lee

  • Fast Image Super-Resolution Based on In-Place Example Regression

    Jianchao Yang;Zhe Lin;Scott Cohen

  • Using line integral convolution for flow visualization: curvilinear grids, variable-speed animation, and unsteady flows

    L.K. Forssell;S.D. Cohen

  • Geodesic graph cut for interactive image segmentation

    Brian L. Price;Bryan Morse;Scott Cohen

  • Improving Image Matting Using Comprehensive Sampling Sets

    Ehsan Shahrian;Deepu Rajan;Brian Price;Scott Cohen

  • DVQA: Understanding Data Visualizations via Question Answering

    Kushal Kafle;Brian Price;Scott Cohen;Christopher Kanan

  • LIVEcut: Learning-based interactive video segmentation by evaluation of multiple propagated cues

    Brian L. Price;Bryan S. Morse;Scott Cohen

  • Discriminability Objective for Training Descriptive Captions

    Ruotian Luo;Gregory Shakhnarovich;Scott Cohen;Brian Price

  • Data Augmentation for Recognition of Handwritten Words and Lines Using a CNN-LSTM Network

    Curtis Wigington;Seth Stewart;Brian Davis;Bill Barrett

  • Context Driven Scene Parsing with Attention to Rare Classes

    Jimei Yang;Brian Price;Scott Cohen;Ming-Hsuan Yang

  • Large Displacement Optical Flow from Nearest Neighbor Fields

    Zhuoyuan Chen;Hailin Jin;Zhe Lin;Scott Cohen

  • The Earth Mover's Distance under transformation sets

    S. Cohen;L. Guibasm

  • Estimating Spatially Varying Defocus Blur From A Single Image

    Xiang Zhu;Scott Cohen;Stephen Schiller;Peyman Milanfar

  • Effective learning-based illuminant estimation using simple features

    Dongliang Cheng;Brian Price;Scott Cohen;Michael S. Brown

  • Discriminability objective for training descriptive captions

    Ruotian Luo;Brian Price;Scott Cohen;Gregory Shakhnarovich

Frequent Co-Authors

Brian Price
Brian Price Adobe Systems (United States)
Zhe Lin
Zhe Lin Adobe Systems (United States)
Xiaohui Shen
Xiaohui Shen ByteDance
Hailin Jin
Hailin Jin Adobe Systems (United States)
Jimei Yang
Jimei Yang Adobe Systems (United States)
Jianchao Yang
Jianchao Yang ByteDance
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Peng Wang
Peng Wang Baidu (China)
Michael S. Brown
Michael S. Brown York University
Ahmed Elgammal
Ahmed Elgammal Rutgers, The State University of New Jersey

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