World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
13398
World Ranking
7775
National Ranking
3360

Ehsan Adeli 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 Ehsan Adeli 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Ehsan Adeli 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 Ehsan Adeli 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Ehsan Adeli is affiliated with Stanford University in the United States. Their research focuses primarily on the fields of Computer Science and Medicine, with significant contributions within the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, and Neurology.

Adeli has published extensively, with topics covering Functional Brain Connectivity Studies, Machine Learning in Healthcare, Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Generative Adversarial Networks and Image Synthesis, and Domain Adaptation and Few-Shot Learning.

Frequent coauthors include Kilian M. Pohl, Qingyu Zhao, Li Fei-Fei, Juan Carlos Niebles, and Edith V. Sullivan.

Adeli's publication record spans various venues, with notable frequency in:

  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • UNC Libraries
  • Medical Image Analysis
  • IEEE Robotics and Automation Letters

The scientist has contributed to recent papers such as:

  • "TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation," 2021, arXiv (Cornell University)
  • "On the Opportunities and Risks of Foundation Models," 2021, arXiv (Cornell University)
  • "TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers," 2024, Medical Image Analysis
  • "Medical Image Segmentation Review: The Success of U-Net," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction," 2020, IEEE Robotics and Automation Letters

Adeli has also authored books with Springer Science+Business Media, titled "Predictive Intelligence in Medicine," published in 2020, 2021, and 2022 with citations for each edition.

Best Publications

  • TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

    Jieneng Chen;Yongyi Lu;Qihang Yu;Xiangde Luo

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • Adversarially Learned One-Class Classifier for Novelty Detection

    Mohammad Sabokrou;Mohammad Khalooei;Mahmood Fathy;Ehsan Adeli

  • TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers

    Unknown

  • Landmark-based deep multi-instance learning for brain disease diagnosis

    Mingxia Liu;Jun Zhang;Ehsan Adeli;Dinggang Shen;Dinggang Shen

  • 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.

    Dong Nie;Han Zhang;Ehsan Adeli;Luyan Liu

  • It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction

    Karttikeya Mangalam;Harshayu Girase;Shreyas Agarwal;Kuan-Hui Lee

  • Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis

    Mingxia Liu;Jun Zhang;Ehsan Adeli;Dinggang Shen

  • Spatio-Temporal Graph for Video Captioning With Knowledge Distillation

    Boxiao Pan;Haoye Cai;De-An Huang;Kuan-Hui Lee

  • Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

    Unknown

  • High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

    Sihang Zhou;Dong Nie;Ehsan Adeli;Jianping Yin

  • Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

    Dong Nie;Junfeng Lu;Han Zhang;Ehsan Adeli

  • 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

    Dong Nie;Li Wang;Ehsan Adeli;Cuijin Lao

  • Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

    Bingbin Liu;Ehsan Adeli;Zhangjie Cao;Kuan-Hui Lee

  • Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis

    Mingxia Liu;Daoqiang Zhang;Ehsan Adeli;Dinggang Shen

  • Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis.

    Soham Gadgil;Qingyu Zhao;Adolf Pfefferbaum;Edith V. Sullivan

  • Training confounder-free deep learning models for medical applications.

    Qingyu Zhao;Ehsan Adeli;Kilian M Pohl;Kilian M Pohl

  • TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation

    Unknown

  • Ethical issues in using ambient intelligence in health-care settings

    Nicole Martinez-Martin;Zelun Luo;Amit Kaushal;Ehsan Adeli

  • Action-Agnostic Human Pose Forecasting

    Hsu-Kuang Chiu;Ehsan Adeli;Borui Wang;De-An Huang

  • Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data

    Ehsan Adeli;Feng Shi;Le An;Chong Yaw Wee

  • Imitation Learning for Human Pose Prediction

    Borui Wang;Ehsan Adeli;Hsu-Kuang Chiu;De-An Huang

  • AVID: Adversarial Visual Irregularity Detection

    Mohammad Sabokrou;Masoud Pourreza;Mohsen Fayyaz;Rahim Entezari

  • Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography

    Mohammad Eslami;Solale Tabarestani;Shadi Albarqouni;Ehsan Adeli

  • Deep Relative Attributes

    Yaser Souri;Erfan Noury;Ehsan Adeli

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