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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
140
Citations
120482
World Ranking
63
National Ranking
36

Alan L. Yuille 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 Alan L. Yuille 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: 724 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Alan L. Yuille 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 Alan L. Yuille 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: 140 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions to Bayesian, learning and optimization-based approaches to computer vision.
  • 2022 - Research.com Computer Science in United States Leader Award

Overview

Alan L. Yuille is affiliated with Johns Hopkins University in the United States. Their research spans significant contributions in the areas of computer science and medicine, with a strong focus on computer vision, artificial intelligence, and medical imaging.

Their publication record includes frequent contributions to prominent venues such as arXiv (Cornell University), where they have published over 200 papers, as well as the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the Proceedings of the AAAI Conference on Artificial Intelligence, Medical Image Analysis, and bioRxiv (Cold Spring Harbor Laboratory).

Major research topics covered by Alan L. Yuille include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Image and Video Retrieval Techniques
  • COVID-19 diagnosis using AI

Their main fields of study are:

  • Computer Science
  • Medicine

Within these fields, their subfields of expertise include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Oncology
  • Biomedical Engineering

Frequent co-authors in their research work have been:

  • Adam Kortylewski
  • Zongwei Zhou
  • Cihang Xie
  • Yuyin Zhou
  • Angtian Wang

Recent papers by Alan L. Yuille include:

  • TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation, 2021, arXiv (Cornell University)
  • TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers, 2024, Medical Image Analysis
  • Masked Feature Prediction for Self-Supervised Visual Pre-Training, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • When Radiology Report Generation Meets Knowledge Graph, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

In 2022, Alan L. Yuille received the Edward J. McCluskey Technical Achievement Award from the IEEE Computer Society for contributions to Bayesian, learning, and optimization-based approaches to computer vision.

Best Publications

  • DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

    Liang-Chieh Chen;George Papandreou;Iasonas Kokkinos;Kevin Murphy

  • Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

    Liang-Chieh Chen;George Papandreou;Iasonas Kokkinos;Kevin Murphy

  • TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

    Jieneng Chen;Yongyi Lu;Qihang Yu;Xiangde Luo

  • Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation

    Song Chun Zhu;A. Yuille

  • Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation

    S.C. Zhu;T.S. Lee;A.L. Yuille

  • Feature extraction from faces using deformable templates

    Alan L. Yuille;Peter W. Hallinan;David S. Cohen

  • Progressive Neural Architecture Search

    Chenxi Liu;Barret Zoph;Maxim Neumann;Jonathon Shlens

  • Object Perception as Bayesian Inference

    Daniel Kersten;Pascal Mamassian;Alan L Yuille

  • Active vision

    Andrew Blake;Alan Yuille

  • The Role of Context for Object Detection and Semantic Segmentation in the Wild

    Roozbeh Mottaghi;Xianjie Chen;Xiaobai Liu;Nam-Gyu Cho

  • Attention to Scale: Scale-Aware Semantic Image Segmentation

    Liang-Chieh Chen;Yi Yang;Jiang Wang;Wei Xu

  • The Secrets of Salient Object Segmentation

    Yin Li;Xiaodi Hou;Christof Koch;James M. Rehg

  • The concave-convex procedure

    A. L. Yuille;Anand Rangarajan

  • Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation

    George Papandreou;Liang-Chieh Chen;Kevin P. Murphy;Alan L. Yuille

  • Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

    Junhua Mao;Junhua Mao;Wei Xu;Yi Yang;Jiang Wang

  • Generation and Comprehension of Unambiguous Object Descriptions

    Junhua Mao;Jonathan Huang;Alexander Toshev;Oana Camburu

  • Improving Transferability of Adversarial Examples With Input Diversity

    Cihang Xie;Zhishuai Zhang;Yuyin Zhou;Song Bai

  • Feature extraction from faces using deformable templates

    A.L. Yuille;D.S. Cohen;P.W. Hallinan

  • Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

    Chenxi Liu;Liang-Chieh Chen;Florian Schroff;Hartwig Adam

  • Vision as Bayesian inference: analysis by synthesis?

    Alan L Yuille;Daniel Kersten

Frequent Co-Authors

Lingxi Xie
Lingxi Xie Huawei Technologies (China)
Wei Shen
Wei Shen Johns Hopkins University
Yuyin Zhou
Yuyin Zhou University of California, Santa Cruz
Elliot K. Fishman
Elliot K. Fishman Johns Hopkins University
Zhuowen Tu
Zhuowen Tu University of California, San Diego
Song-Chun Zhu
Song-Chun Zhu Peking University
Iasonas Kokkinos
Iasonas Kokkinos University College London
Peng Wang
Peng Wang Baidu (China)
Jason J. Corso
Jason J. Corso University of Michigan–Ann Arbor

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