World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
16697
World Ranking
7380
National Ranking
3216

Jason J. Corso 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 Jason J. Corso 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: 248 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Jason J. Corso 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 Jason J. Corso 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Jason J. Corso is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily falls within the broad field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery, Cardiology and Cardiovascular Medicine, and Control and Systems Engineering.

Their work covers a range of specialized topics including:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Generative Adversarial Networks and Image Synthesis

Jason J. Corso has contributed to various publication venues. The most frequent of these include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Surgery
  • IEEE Transactions on Neural Networks and Learning Systems
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some recent papers include:

  • Unified Vision-Language Pre-Training for Image Captioning and VQA, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation, 2020, arXiv (Cornell University)
  • The impact of team familiarity on intra and postoperative cardiac surgical outcomes, 2021, Surgery
  • Slimming Neural Networks Using Adaptive Connectivity Scores, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent collaborators of Jason J. Corso include Nathan Louis, Steven Yule, Roger D. Dias, Milisa Manojlovich, and Francis D. Pagani. These coauthors have contributed multiple times to research projects alongside Corso.

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • Action bank: A high-level representation of activity in video

    Sreemanananth Sadanand;Jason J. Corso

  • Unified Vision-Language Pre-Training for Image Captioning and VQA

    Luowei Zhou;Hamid Palangi;Lei Zhang;Houdong Hu

  • Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification

    J.J. Corso;E. Sharon;S. Dube;S. El-Saden

  • End-to-End Dense Video Captioning with Masked Transformer

    Luowei Zhou;Yingbo Zhou;Jason J. Corso;Richard Socher

  • Towards Automatic Learning of Procedures from Web Instructional Videos

    Luowei Zhou;Chenliang Xu;Jason J. Corso

  • Jointly modeling deep video and compositional text to bridge vision and language in a unified framework

    Ran Xu;Caiming Xiong;Wei Chen;Jason J. Corso

  • A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching

    Pradipto Das;Chenliang Xu;Richard F. Doell;Jason J. Corso

  • Streaming hierarchical video segmentation

    Chenliang Xu;Caiming Xiong;Jason J. Corso

  • Evaluation of super-voxel methods for early video processing

    Chenliang Xu;Jason J. Corso

  • Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection

    Duygu Sarikaya;Jason J. Corso;Khurshid A. Guru

  • Towards Automatic Learning of Procedures From Web Instructional Videos

    Luowei Zhou;Chenliang Xu;Jason J. Corso

  • Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation

    Hao Tang;Dan Xu;Nicu Sebe;Yanzhi Wang

  • Grounded Video Description

    Luowei Zhou;Yannis Kalantidis;Xinlei Chen;Jason J. Corso

  • Brain tumor detection and segmentation in a CRF (conditional random fields) framework with pixel-pairwise affinity and superpixel-level features.

    Wei Wu;Wei Wu;Albert Y. C. Chen;Liang Zhao;Jason J. Corso

  • TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection

    Kyle Min;Jason Corso

  • Stereo-Based Endoscopic Tracking of Cardiac Surface Deformation

    William W. Lau;Nicholas A. Ramey;Jason J. Corso;Nitish V. Thakor

  • Navigating inner space: 3-D assistance for minimally invasive surgery

    Darius Burschka;Jason J. Corso;Maneesh Dewan;William W. Lau

  • GPU-based cone beam computed tomography

    Peter B. Noël;Alan M. Walczak;Jinhui Xu;Jason J. Corso

  • Can humans fly? Action understanding with multiple classes of actors

    Chenliang Xu;Shao-Hang Hsieh;Caiming Xiong;Jason J. Corso

  • Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model

    R S Alomari;J J Corso;V Chaudhary

Frequent Co-Authors

Caiming Xiong
Caiming Xiong Salesforce (United States)
Gregory D. Hager
Gregory D. Hager Johns Hopkins University
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Yan Yan
Yan Yan Illinois Institute of Technology
Vipin Chaudhary
Vipin Chaudhary University at Buffalo, State University of New York
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Nicu Sebe
Nicu Sebe University of Trento
Greg Mori
Greg Mori Simon Fraser University
Venu Govindaraju
Venu Govindaraju University at Buffalo, State University of New York
Arthur W. Toga
Arthur W. Toga University of Southern California

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