World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
3779
World Ranking
14106
National Ranking
415

James Underwood 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 James Underwood 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: 64 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

James Underwood 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 James Underwood 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

James Underwood is affiliated with the University of Sydney in Australia. Their research spans multiple disciplines, with a primary focus on Agricultural and Biological Sciences and Medicine. Within these broad fields, their work concentrates significantly on Plant Science and Oncology as key subfields.

Their publications often explore topics including:

  • Horticultural and Viticultural Research
  • Plant Physiology and Cultivation Studies
  • Leaf Properties and Growth Measurement
  • Colorectal Cancer Screening and Detection
  • Greenhouse Technology and Climate Control
  • Remote Sensing and LiDAR Applications
  • Hybrid Renewable Energy Systems

James Underwood has contributed to several journals, with frequent publications in the following venues:

  • Computers and Electronics in Agriculture
  • Acta Horticulturae
  • Gastrointestinal Endoscopy
  • The American Journal of Gastroenterology
  • HortTechnology

Their recent key papers include:

  • "A Ground-based Platform for Reliable Estimates of Fruit Number, Size, and Color in Stone Fruit Orchards" (2022), published in HortTechnology
  • "Reliability of a commercial platform for estimating flower cluster and fruit number, yield, tree geometry and light interception in apple trees under different rootstocks and row orientations" (2021), published in Computers and Electronics in Agriculture
  • "Replacing traditional light measurement with LiDAR based methods in orchards" (2020), published in Computers and Electronics in Agriculture
  • "Use of a Novel Artificial Intelligence System Leads to the Detection of Significantly Higher Number of Adenomas During Screening and Surveillance Colonoscopy: Results From a Large, Prospective, US Multicenter, Randomized Clinical Trial" (2024), published in The American Journal of Gastroenterology
  • "Pairwise comparison locomotion scoring for dairy cattle" (2021), published in Journal of Dairy Science

Frequent collaborators of James Underwood include:

  • Ian Goodwin
  • Alessio Scalisi
  • Peter Morton
  • Steve Scheding
  • Madhav Desai

James Underwood's research integrates a combination of agricultural technology and medical diagnostic methods, reflecting an interdisciplinary approach bridging plant science and health-related studies.

Best Publications

  • On the segmentation of 3D LIDAR point clouds

    B. Douillard;J. Underwood;N. Kuntz;V. Vlaskine

  • Deep fruit detection in orchards

    Suchet Bargoti;James Underwood

  • Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards

    Suchet Bargoti;James Patrick Underwood

  • Generation and visualization of large-scale three-dimensional reconstructions from underwater robotic surveys

    Matthew Johnson-Roberson;Oscar Pizarro;Stefan B. Williams;Ian Mahon

  • Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry

    Madeleine Stein;Suchet Bargoti;James Patrick Underwood

  • Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors

    James Patrick Underwood;Calvin Hung;Brett Whelan;Salah Sukkarieh

  • Efficient in‐field plant phenomics for row‐crops with an autonomous ground vehicle

    James Patrick Underwood;Alexander Wendel;Brooke Schofield;Larn McMurray

  • Orchard fruit segmentation using multi-spectral feature learning

    Calvin Hung;Juan Nieto;Zachary Taylor;James Underwood

  • Towards reliable perception for unmanned ground vehicles in challenging conditions

    Thierry Peynot;James Underwood;Steven Scheding

  • Self-supervised weed detection in vegetable crops using ground based hyperspectral imaging

    Alexander Wendel;James Underwood

  • Hybrid elevation maps: 3D surface models for segmentation

    B. Douillard;J. Underwood;N. Melkumyan;S. Singh

  • A Pipeline for the Segmentation and Classification of 3D Point Clouds

    Bertrand Douillard;James Patrick Underwood;Vsevolod Vlaskine;Alastair James Quadros

  • Error modeling and calibration of exteroceptive sensors for accurate mapping applications

    James P Underwood;Andrew Hill;Thierry Peynot;Steven J Scheding

  • Maturity estimation of mangoes using hyperspectral imaging from a ground based mobile platform

    Alexander Wendel;James Patrick Underwood;Kerry B. Walsh

  • Calibration of range sensor pose on mobile platforms

    J. Underwood;A. Hill;S. Scheding

  • Radar Sensing for Intelligent Vehicles in Urban Environments.

    Giulio Reina;David Johnson;James Patrick Underwood

  • A Feature Learning Based Approach for Automated Fruit Yield Estimation

    Calvin Hung;James Patrick Underwood;Juan I. Nieto;Salah Sukkarieh

  • Scan segments matching for pairwise 3D alignment

    B. Douillard;A. Quadros;P. Morton;J. P. Underwood

  • Radar-based perception for autonomous outdoor vehicles

    Giulio Reina;James Underwood;Graham Brooker;Hugh Durrant-Whyte

  • Ground based hyperspectral imaging for extensive mango yield estimation

    Salvador Gutiérrez;Alexander Wendel;James Patrick Underwood

  • Selective combination of visual and thermal imaging for resilient localization in adverse conditions: Day and night, smoke and fire

    Christopher Joseph Brunner;Thierry Peynot;Teresa A. Vidal-Calleja;James Patrick Underwood

  • Machine vision assessment of mango orchard flowering

    Zhenglin Wang;James Patrick Underwood;Kerry B. Walsh

  • Monocular Camera Based Fruit Counting and Mapping With Semantic Data Association

    Xu Liu;Steven W. Chen;Chenhao Liu;Shreyas S. Shivakumar

Frequent Co-Authors

Salah Sukkarieh
Salah Sukkarieh University of Sydney
Juan Nieto
Juan Nieto Microsoft (United States)
Kerry B. Walsh
Kerry B. Walsh Central Queensland University
Camillo J. Taylor
Camillo J. Taylor University of Pennsylvania
Gamini Dissanayake
Gamini Dissanayake University of Technology Sydney
Shirley Gregor
Shirley Gregor Australian National University
Vijay Kumar
Vijay Kumar University of Pennsylvania
Daniel M. Weary
Daniel M. Weary University of British Columbia
Ian D. Goodwin
Ian D. Goodwin Macquarie University
Hugh Durrant-Whyte
Hugh Durrant-Whyte University of Sydney

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