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David J. Crandall

David J. Crandall

Indiana University
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 55 4259 4141 2007 1937 211 14175

David J. Crandall publications per year

The chart shows the history of publications by David J. Crandall between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David J. Crandall published across 39 years, from 1987 to 2025, averaging 7 papers a year. Output peaked at 30 publications in 2021. 32 of the 273 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 30. Peak 30 publications in 2021. 1987: 1 publication 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 1 publication 2000: 1 publication 2001: 3 publications 2002: 1 publication 2003: 3 publications 2004: 2 publications 2005: 1 publication 2006: 3 publications 2007: 1 publication 2008: 2 publications 2009: 2 publications 2010: 1 publication 2011: 2 publications 2012: 12 publications 2013: 9 publications 2014: 16 publications 2015: 9 publications 2016: 18 publications 2017: 21 publications 2018: 21 publications 2019: 29 publications 2020: 21 publications 2021: 30 publications 2022: 12 publications 2023: 19 publications 2024: 18 publications 2025: 14 publications
1987 2025

273 publications in total across all disciplines

View publications per year as a table
David J. Crandall: publications per year, 1987 to 2025
Year Publications
1987 1
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 1
2000 1
2001 3
2002 1
2003 3
2004 2
2005 1
2006 3
2007 1
2008 2
2009 2
2010 1
2011 2
2012 12
2013 9
2014 16
2015 9
2016 18
2017 21
2018 21
2019 29
2020 21
2021 30
2022 12
2023 19
2024 18
2025 14
Total 273
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 202–211 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508 211
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 54–55 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500 55
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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
Daniel P. Huttenlocher
Daniel P. Huttenlocher MIT
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

External Links

Personal website of David J. Crandall Google Scholar page

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Best Scientists Citing David J. Crandall

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Publications: 33

Luc Van Gool

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Publications: 21

Bernt Schiele

Bernt Schiele

Max Planck Institute for Informatics

Publications: 20

Alexander G. Schwing

Alexander G. Schwing

University of Illinois at Urbana-Champaign

Publications: 19

Kristen Grauman

Kristen Grauman

The University of Texas at Austin

Publications: 19

Rongrong Ji

Rongrong Ji

Xiamen University

Publications: 18

Xueming Qian

Xueming Qian

Xi'an Jiaotong University

Publications: 18

Shawn Newsam

Shawn Newsam

University of California, Merced

Publications: 18

Noah Snavely

Noah Snavely

Cornell University

Publications: 17

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 17

Li Fei-Fei

Li Fei-Fei

Stanford University

Publications: 17

Jan-Michael Frahm

Jan-Michael Frahm

University of North Carolina at Chapel Hill

Publications: 16

Cecilia Mascolo

Cecilia Mascolo

University of Cambridge

Publications: 16

Vanessa Murdock

Vanessa Murdock

Amazon (United States)

Publications: 15

Petia Radeva

Petia Radeva

University of Barcelona

Publications: 15

John Paden

John Paden

University of Kansas

Publications: 15

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