World's Best Scientists 2026 revealed!
David J. Crandall

David J. Crandall

D-Index & Metrics

Computer Science

D-Index
55
Citations
14175
World Ranking
4259
National Ranking
2007

David J. Crandall 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 David J. Crandall 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

David J. Crandall 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 David J. Crandall 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

David J. Crandall is affiliated with Indiana University in the United States. Their research focuses primarily on computer science, with a significant concentration in the subfields of computer vision and pattern recognition, artificial intelligence, sociology and political science, molecular biology, and signal processing.

The main topics covered in their work include:

  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Multimodal Machine Learning Applications
  • AI-based Problem Solving and Planning
  • Advanced Image and Video Retrieval Techniques

Their recent publications demonstrate a consistent engagement with cutting-edge research in computer vision and related fields. Notable papers include:

  • "Ego4D: Around the World in 3,000 Hours of Egocentric Video" (2022) published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Survey on Deep Learning Technique for Video Segmentation" (2022) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Zero-Shot Video Object Segmentation with Co-Attention Siamese Networks" (2020) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Segmenting Objects From Relational Visual Data" (2021) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Plasmonic Anticounterfeit Tags with High Encoding Capacity Rapidly Authenticated with Deep Machine Learning" (2021) published in ACS Nano

Frequent co-authors in their research collaborations include:

  • David Leake
  • Weslie Khoo
  • Jianbing Shen
  • Wenguan Wang
  • Zachary Wilkerson

Their publications are often featured in venues such as arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, Clinical Chemistry, ACM Transactions on Computer-Human Interaction, and the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Best Publications

  • Mapping the world's photos

    David J. Crandall;Lars Backstrom;Daniel Huttenlocher;Jon Kleinberg

  • Feedback effects between similarity and social influence in online communities

    David Crandall;Dan Cosley;Daniel Huttenlocher;Jon Kleinberg

  • Inferring social ties from geographic coincidences

    David J. Crandall;Lars Backstrom;Dan Cosley;Siddharth Suri

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions

    Sven Bambach;Stefan Lee;David J. Crandall;Chen Yu

  • Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.

    Ashwin K. Vijayakumar;Michael Cogswell;Ramprasaath R. Selvaraju;Qing Sun

  • Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification

    Mang Ye;Jianbing Shen;David J. Crandall;Ling Shao

  • Spatial priors for part-based recognition using statistical models

    D. Crandall;P. Felzenszwalb;D. Huttenlocher

  • Discrete-continuous optimization for large-scale structure from motion

    David Crandall;Andrew Owens;Noah Snavely;Dan Huttenlocher

  • Landmark classification in large-scale image collections

    Yunpeng Li;David J. Crandall;Daniel P. Huttenlocher

  • Discovering localized attributes for fine-grained recognition

    Kun Duan;Devi Parikh;David Crandall;Kristen Grauman

  • Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks

    Wenguan Wang;Xiankai Lu;Jianbing Shen;David Crandall

  • Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

    Stefan Lee;Senthil Purushwalkam;Michael Cogswell;David J. Crandall

  • Weakly supervised learning of part-based spatial models for visual object recognition

    David J. Crandall;Daniel P. Huttenlocher

  • Privacy behaviors of lifeloggers using wearable cameras

    Roberto Hoyle;Robert Templeman;Steven Armes;Denise Anthony

  • Diverse Beam Search for Improved Description of Complex Scenes

    Ashwin K. Vijayakumar;Michael Cogswell;Ramprasaath R. Selvaraju;Qing Sun

  • A Survey on Deep Learning Technique for Video Segmentation.

    Wenguan Wang;Tianfei Zhou;Fatih Porikli;David J. Crandall

  • Temporal Recurrent Networks for Online Action Detection

    Mingze Xu;Mingfei Gao;Yi-Ting Chen;Larry Davis

  • Real-Time, Cloud-Based Object Detection for Unmanned Aerial Vehicles

    Jangwon Lee;Jingya Wang;David Crandall;Selma Sabanovic

  • HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation

    Bardia Doosti;Shujon Naha;Majid Mirbagheri;David J. Crandall

  • SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion

    David J. Crandall;Andrew Owens;Noah Snavely;Daniel P. Huttenlocher

  • PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces.

    Robert Templeman;Mohammed Korayem;David J. Crandall;Apu Kapadia

  • Deepdiary: Lifelogging image captioning and summarization

    Chenyou Fan;Zehua Zhang;David J. Crandall

Frequent Co-Authors

Geoffrey C. Fox
Geoffrey C. Fox University of Virginia
Chen Yu
Chen Yu The University of Texas at Austin
John Paden
John Paden University of Kansas
Apu Kapadia
Apu Kapadia Indiana University
Stefan Lee
Stefan Lee Oregon State University
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Jiebo Luo
Jiebo Luo University of Rochester
Linda B. Smith
Linda B. Smith Indiana University
Jianbing Shen
Jianbing Shen University of Macau

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