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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
133
Citations
88150
World Ranking
92
National Ranking
57

Mubarak Shah 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 Mubarak Shah 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: 626 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Mubarak Shah 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 Mubarak Shah 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: 133 D-Index — 99th percentile

99% 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 - Research.com Computer Science in United States Leader Award
  • 2019 - Fellow, National Academy of Inventors
  • 2009 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2008 - SPIE Fellow
  • 2006 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to motion-based recognition and shape from shading in computer vision.
  • 2003 - IEEE Fellow For contributions to motion-based recognition and shape from shading in computer vision

Overview

Mubarak Shah is affiliated with the University of Central Florida in the United States. Their primary field of study is computer science, with a particular focus on computer vision and pattern recognition. They have addressed multiple subfields, including artificial intelligence, aerospace engineering, biomedical engineering, and radiology, nuclear medicine, and imaging.

Their research interests span several main topics such as:

  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods

Mubarak Shah has published extensively in a variety of venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Computer Vision and Image Understanding
  • ACM Computing Surveys
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers authored or co-authored by Shah are:

  • "UCF-101: A dataset of 101 human actions classes from videos in the wild" (2024), published in arXiv (Cornell University)
  • "Deep Learning-based Human Pose Estimation: A Survey" (2023), published in ACM Computing Surveys
  • "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" (2021), published in arXiv (Cornell University)
  • "Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "OW-DETR: Open-world Detection Transformer" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their frequent collaborators include Fahad Shahbaz Khan, Ajmal Mian, Mamshad Nayeem Rizve, Ishan Rajendrakumar Dave, and Salman Khan.

Awards received by Mubarak Shah throughout their career include:

  • Fellow, National Academy of Inventors, awarded in 2019
  • Fellow of the American Association for the Advancement of Science (AAAS), awarded in 2009
  • SPIE Fellow, awarded in 2008
  • Fellow of the International Association for Pattern Recognition (IAPR), awarded in 2006, for contributions to motion-based recognition and shape from shading in computer vision
  • IEEE Fellow, awarded in 2003, for contributions to motion-based recognition and shape from shading in computer vision

Best Publications

  • Object tracking: A survey

    Alper Yilmaz;Omar Javed;Mubarak Shah

  • UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

    Khurram Soomro;Amir Roshan Zamir;Mubarak Shah

  • Shape-from-shading: a survey

    Ruo Zhang;Ping-Sing Tsai;J.E. Cryer;M. Shah

  • A 3-dimensional sift descriptor and its application to action recognition

    Paul Scovanner;Saad Ali;Mubarak Shah

  • Abnormal crowd behavior detection using social force model

    Ramin Mehran;Alexis Oyama;Mubarak Shah

  • A fast algorithm for active contours and curvature estimation

    Donna J. Williams;Mubarak Shah

  • Visual Tracking: An Experimental Survey

    Arnold W. M. Smeulders;Dung M. Chu;Rita Cucchiara;Simone Calderara

  • Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition

    M.D. Rodriguez;J. Ahmed;M. Shah

  • Real-World Anomaly Detection in Surveillance Videos

    Waqas Sultani;Chen Chen;Mubarak Shah

  • Recognizing realistic actions from videos “in the wild”

    Jingen Liu;Jiebo Luo;Mubarak Shah

  • Visual attention detection in video sequences using spatiotemporal cues

    Yun Zhai;Mubarak Shah

  • Multi-source Multi-scale Counting in Extremely Dense Crowd Images

    Haroon Idrees;Imran Saleemi;Cody Seibert;Mubarak Shah

  • A large-scale benchmark dataset for event recognition in surveillance video

    Sangmin Oh;Anthony Hoogs;Amitha Perera;Naresh Cuntoor

  • Bayesian modeling of dynamic scenes for object detection

    Y. Sheikh;M. Shah

  • Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

    Haroon Idrees;Muhmmad Tayyab;Kishan Athrey;Dong Zhang

  • Recognizing 50 human action categories of web videos

    Kishore K. Reddy;Mubarak Shah

  • Contour-based object tracking with occlusion handling in video acquired using mobile cameras

    A. Yilmaz;Xin Li;M. Shah

  • A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis

    S. Ali;M. Shah

  • Deep Learning-based Human Pose Estimation: A Survey

    Unknown

  • Motion-based recognition a survey

    Claudette Cédras;Mubarak Shah

  • The THUMOS challenge on action recognition for videos “in the wild”

    Haroon Idrees;Amir Roshan Zamir;Yu-Gang Jiang;Alex Gorban

  • Recognizing realistic actions from videos .

    Jingen Liu;Jiebo Luo;Mubarak Shah

Frequent Co-Authors

Yaser Sheikh
Yaser Sheikh Facebook (United States)
Amir Roshan Zamir
Amir Roshan Zamir Stanford University
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Concetto Spampinato
Concetto Spampinato University of Catania
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Andrew Miller
Andrew Miller University of Illinois at Urbana-Champaign
Boqing Gong
Boqing Gong Google (United States)
Ajmal Mian
Ajmal Mian University of Western Australia
George Bebis
George Bebis University of Nevada Reno
Larry S. Davis
Larry S. Davis University of Maryland, College Park

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