World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
13903
World Ranking
3423
National Ranking
97

Salah Sukkarieh 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 Salah Sukkarieh 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: 283 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Salah Sukkarieh 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 Salah Sukkarieh 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: 59 D-Index — 77th percentile

77% 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

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Salah Sukkarieh is affiliated with the University of Sydney in Australia. Their research spans multiple fields, including Engineering, Agricultural and Biological Sciences, and Computer Science. The scientist's work often intersects these areas, focusing particularly on plant science, computer vision and pattern recognition, control and systems engineering, mechanical engineering, and aerospace engineering as notable subfields of study.

The research themes addressed by Salah Sukkarieh revolve around several main topics. These include smart agriculture and artificial intelligence, modular robots and swarm intelligence, animal behavior and welfare studies, food supply chain traceability, target tracking and data fusion in sensor networks, fault detection and control systems, and robotic path planning algorithms.

Their publication record shows a considerable emphasis on the following venues: arXiv (Cornell University), Computers and Electronics in Agriculture, Journal of Field Robotics, Animals, and Automatica.

Co-authorship collaborations are an important aspect of their research output. Frequent co-authors include He Kong, Yongliang Qiao, Daobilige Su, Nathan Wallace, and Cameron Clark.

Selected recent papers by Salah Sukkarieh include:

  • Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation (2021), Computers and Electronics in Agriculture
  • Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics (2021), Computers and Electronics in Agriculture
  • Design and evaluation of a modular robotic plum harvesting system utilizing soft components (2020), Journal of Field Robotics
  • Real time detection of inter-row ryegrass in wheat farms using deep learning (2021), Biosystems Engineering
  • Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review (2021), Animals

Best Publications

  • Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

    Anna Chlingaryan;Salah Sukkarieh;Brett Whelan

  • A high integrity IMU/GPS navigation loop for autonomous land vehicle applications

    S. Sukkarieh;E.M. Nebot;H.F. Durrant-Whyte

  • The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications

    G. Dissanayake;S. Sukkarieh;E. Nebot;H. Durrant-Whyte

  • Visual-Inertial-Aided Navigation for High-Dynamic Motion in Built Environments Without Initial Conditions

    T. Lupton;S. Sukkarieh

  • An Analytical Continuous-Curvature Path-Smoothing Algorithm

    Kwangjin Yang;Salah Sukkarieh

  • Online localization of radio-tagged wildlife with an autonomous aerial robot system

    Oliver M. Cliff;Robert Fitch;Salah Sukkarieh;Debbie Saunders

  • Real-Time Navigation, Guidance, and Control of a UAV Using Low-Cost Sensors.

    Jong-Hyuk Kim;Salah Sukkarieh;Stuart Wishart

  • Airborne simultaneous localisation and map building

    Jong-Hyuk Kim;S. Sukkarieh

  • Low Cost, High Integrity, Aided Inertial Navigation Systems for Autonomous Land Vehicles

    Salah Sukkarieh

  • Autonomous airborne navigation in unknown terrain environments

    J. Kim;S. Sukkarieh

  • 3D smooth path planning for a UAV in cluttered natural environments

    Kwangjin Yang;S. Sukkarieh

  • Real-time implementation of airborne inertial-SLAM

    Jonghyuk Kim;Salah Sukkarieh

  • Feature Learning Based Approach for Weed Classification Using High Resolution Aerial Images from a Digital Camera Mounted on a UAV

    Calvin Hung;Zhe Xu;Salah Sukkarieh

  • Observability analysis and active control for airborne SLAM

    M. Bryson;S. Sukkarieh

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

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

  • Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation

    Yongliang Qiao;He Kong;Cameron Clark;Sabrina Lomax

  • Vision-based Obstacle Detection and Navigation for an Agricultural Robot

    David Ball;David Ball;Ben Upcroft;Ben Upcroft;Gordon Wyeth;Gordon Wyeth;Peter Corke;Peter Corke

  • Inertial Aiding of Inverse Depth SLAM using a Monocular Camera

    P. Pinies;T. Lupton;S. Sukkarieh;J.D. Tardos

  • Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming

    Yongliang Qiao;Matthew Truman;Salah Sukkarieh

  • Building a Robust Implementation of Bearing-only Inertial SLAM for a UAV

    Mitch Bryson;Salah Sukkarieh

  • 6DoF SLAM aided GNSS/INS Navigation in GNSS Denied and Unknown Environments

    Jonghyuk Kim;Salah Sukkarieh

Frequent Co-Authors

Hugh Durrant-Whyte
Hugh Durrant-Whyte University of Sydney
Ben Upcroft
Ben Upcroft Queensland University of Technology
James Underwood
James Underwood University of Sydney
Juan Nieto
Juan Nieto Microsoft (United States)
Fabio Ramos
Fabio Ramos University of Sydney
Eduardo Nebot
Eduardo Nebot University of Sydney
Peter Corke
Peter Corke Queensland University of Technology
Gamini Dissanayake
Gamini Dissanayake University of Technology Sydney
Anibal Ollero
Anibal Ollero University of Seville
Min-Jea Tahk
Min-Jea Tahk Korea Advanced Institute of Science and Technology

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