World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
5563
World Ranking
9369
National Ranking
2632

John F. Reid publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where John F. Reid sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 140 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

John F. Reid D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where John F. Reid sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2019 - Member of the National Academy of Engineering For innovation in automation technologies for agricultural systems.

Overview

John F. Reid is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple domains within engineering and agricultural sciences, focusing on advanced photonic communication systems and smart agriculture technologies.

Their recent publications include:

  • 4 Tbps+ FSO Field Trial Over 1.8 km With Turbulence Mitigation and FEC Optimization, 2024, Journal of Lightwave Technology
  • A scalable index for quantifying circularity of bioeconomy systems, 2024, Resources Conservation and Recycling
  • Unraveling "Fiber in the Sky": Terabit Capacity Enabled by Coherent Optical Wireless, 2023, IEEE Communications Magazine
  • Achieving multi-terabit FSO capacity with coherent WDM transmission over a 1.8 km field trial, 2023, IET conference proceedings.
  • Agricultural Robotics and Automation [TC Spotlight], 2022, IEEE Robotics & Automation Magazine

Their frequent co-authors include:

  • Marco A. Fernandes
  • Gil M. Fernandes
  • Bruno T. Brandão
  • Nourdin Kaai
  • Bas van Der Wielen

John F. Reid has contributed to several publication venues, such as:

  • Journal of Lightwave Technology
  • Resources Conservation and Recycling
  • IEEE Communications Magazine
  • IET conference proceedings.
  • IEEE Robotics & Automation Magazine

Their main fields of study include:

  • Engineering
  • Agricultural and Biological Sciences

More specifically, their research covers subfields including:

  • Electrical and Electronic Engineering
  • Plant Science
  • Atomic and Molecular Physics, and Optics
  • Aerospace Engineering
  • General Agricultural and Biological Sciences

The key topics of their work involve:

  • Optical Wireless Communication Technologies
  • Orbital Angular Momentum in Optics
  • Bioeconomy and Sustainability Development
  • Advanced Photonic Communication Systems
  • Optical Network Technologies
  • Smart Agriculture and AI
  • Radio Wave Propagation Studies

In 2019, John F. Reid was recognized as a Member of the National Academy of Engineering for innovation in automation technologies for agricultural systems.

Best Publications

  • Agricultural automatic guidance research in North America

    John F. Reid;Qin Zhang;Noboru Noguchi;Monte Dickson

  • Sensor-fusion navigator for automated guidance of off-road vehicles

    Monte A. Dickson;Noboru Noguchi;Qin Zhang;John F. Reid

  • DEVELOPMENT OF A PRECISION SPRAYER FOR SITE-SPECIFIC WEED MANAGEMENT

    L. Tian;J. F. Reid;J. W. Hummel

  • Development of a master-slave robot system for farm operations

    Noboru Noguchi;Jeff Will;John Reid;Qin Zhang

  • Trajectory path planner for a vision guidance system

    Monte Andre Dickson;Bingcheng Ni;Shufeng Han;John F. Reid

  • RGB calibration for color image analysis in machine vision

    Young-Chang Chang;J.F. Reid

  • A guidance directrix approach to vision-based vehicle guidance systems

    S Han;Q Zhang;B Ni;J.F Reid

  • Evaluation of Colour Representations for Maize Images

    Irfan S. Ahmad;John F. Reid

  • Stereo vision three-dimensional terrain maps for precision agriculture

    Francisco Rovira-Más;Qin Zhang;John F. Reid

  • Corn Kernel Breakage Classification by Machine Vision Using a Neural Network Classifier

    K. Liao;M.R. Paulsen;J.F. Reid;B.C. Ni

  • Hough-transform-based vision algorithm for crop row detection of an automated agricultural vehicle

    F Rovira-Más;Q Zhang;J F Reid;J D Will

  • Robotics in agriculture and forestry

    Marcel Bergerman;John Billingsley;John F. Reid;Eldert J. van Henten

  • Color Classifier for Symptomatic Soybean Seeds Using Image Processing.

    Irfan S. Ahmad;John F. Reid;Marvin R. Paulsen;James B. Sinclair

  • Vision-based guidance of an agriculture tractor

    J. Reid;S. Searcy

  • MACHINE VISION–BASED GUIDANCE SYSTEM FOR AN AGRICULTURAL SMALL–GRAIN HARVESTER

    ER Benson;JF Reid;Qinglin Zhang

  • Automatic machine vision microscope slide inspection system and method

    John F. Reid;John O'Brien

  • Obstacle detection using stereo vision

    John Franklin Reid

  • Machine vision-based guidance system for agricultural grain harvesters using cut-edge detection

    E.R Benson;J.F Reid;Q Zhang

  • Creation of Three-dimensional Crop Maps based on Aerial Stereoimages

    F. Rovira-Más;Q. Zhang;J.F. Reid

  • Real-Time Detection of Colour and Surface Defects of Maize Kernels Using Machine Vision

    K. Liao;Marvin R. Paulsen;J.F. Reid

Frequent Co-Authors

Qin Zhang
Qin Zhang Washington State University
Qiang Zhang
Qiang Zhang Peking University
Qiang Zhang
Qiang Zhang Tsinghua University

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