World's Best Scientists 2026 revealed!
Mark R. Shortis

Mark R. Shortis

D-Index & Metrics

Computer Science

D-Index
36
Citations
6245
World Ranking
11170
National Ranking
338

Mark R. Shortis 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 Mark R. Shortis 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: 123 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Mark R. Shortis 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 Mark R. Shortis 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: 36 D-Index — 23rd percentile

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

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

Overview

Mark R. Shortis is affiliated with RMIT University in Australia and has contributed to research primarily in the field of Environmental Science, with a focus also extending into several subfields including Molecular Biology, Water Science and Technology, Nature and Landscape Conservation, Aerospace Engineering, and Physiology.

The scientist's work spans topics such as Identification and Quantification in Food, Water Quality Monitoring Technologies, Ichthyology and Marine Biology, Spacecraft Design and Technology, Spaceflight Effects on Biology, and Planetary Science and Exploration.

Shortis has coauthored research papers with several collaborators, including Ahsan Jalal, Ahmad Salman, Ajmal Mian, Faisal Shafait, and T. W. Jones.

The research has been published in specific venues such as:

  • Ecological Informatics
  • AIAA SCITECH 2022 Forum

Among recent papers, notable works include:

  • "Fish detection and species classification in underwater environments using deep learning with temporal information" (2020, Ecological Informatics)
  • "On-orbit Photogrammetry Analysis of the Roll-Out Solar Array (ROSA)" (2022, AIAA SCITECH 2022 Forum)

Best Publications

  • A system for stereo-video measurement of sub-tidal organisms

    E. Harvey;M. Shortis

  • Comparison of some techniques for the subpixel location of discrete target images

    Mark R. Shortis;Timothy A. Clarke;Tim Short

  • Estimation of reef fish length by divers and by stereo-video A first comparison of the accuracy and precision in the field on living fish under operational conditions

    Euan Harvey;David Fletcher;Mark Shortis

  • Counting and measuring fish with baited video techniques - an overview

    Michael Cappo;Euan Harvey;M Shortis

  • Fish detection and species classification in underwater environments using deep learning with temporal information

    Ahsan Jalal;Ahmad Salman;Ajmal Mian;Mark Shortis

  • A comparison of underwater visual distance estimates made by scuba divers and a stereo-video system: implications for underwater visual census of reef fish abundance

    Euan Harvey;David Fletcher;Mark R. Shortis;Gary A. Kendrick

  • Calibration stability of an underwater stereo-video system : Implications for measurement accuracy and precision

    E. S. Harvey;M. R. Shortis

  • Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

    Shoaib Ahmed Siddiqui;Ahmad Salman;Muhammad Imran Malik;Faisal Shafait

  • Fish species classification in unconstrained underwater environments based on deep learning

    Ahmad Salman;Ahsan Jalal;Faisal Shafait;Ajmal Mian

  • The accuracy and precision of underwater measurements of length and maximum body depth of southern bluefin tuna (Thunnus maccoyii) with a stereo-video camera system

    Euan Harvey;Mike Cappo;Mark Shortis;Stuart Robson

  • A comparison of the precision and accuracy of estimates of reef-fish lengths determined visually by divers with estimates produced by a stereo-video system.

    Euan Harvey;David Fletcher;Mark Shortis

  • Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

    Ahmad Salman;Shoaib Ahmad Siddiqui;Faisal Shafait;Ajmal Mian

  • A Review of Underwater Stereo-Image Measurement for Marine Biology and Ecology Applications

    Mark Shortis;Euan Harvey;Dave Abdo

  • A Comparison of the Accuracy and Precision of Measurements from Single and Stereo-Video Systems

    Euan Harvey;Mark Shortis;Mathew Stadler;Mike Cappo

  • Photogrammetry: A Powerful Tool for Geometric Analysis of Solar Concentrators and Their Components

    Klaus Pottler;Eckhard Lüpfert;Glen H. G. Johnston;Mark R. Shortis

  • A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs

    Ali Hosseininaveh Ahmadabadian;Stuart Robson;Jan Boehm;Mark Shortis

  • Calibration Techniques for Accurate Measurements by Underwater Camera Systems.

    Mark Shortis

  • Improving the statistical power of length estimates of reef fish: a comparison of estimates determined visually by divers with estimates produced by a stereo-video system.

    Euan Harvey;M. Shortis;D. Fletcher

  • Influence of Range, Angle of View, Image Resolution and Image Compression on Underwater Stereo-Video Measurements: High-Definition and Broadcast-Resolution Video Cameras Compared

    Euan S. Harvey;Jordan Goetze;Bryce McLaren;Tim Langlois

  • Photogrammetry: An Available Surface Characterization Tool for Solar Concentrators, Part I: Measurements of Surfaces

    M. R. Shortis;G. H. G. Johnston

Frequent Co-Authors

Euan S. Harvey
Euan S. Harvey Curtin University
Ajmal Mian
Ajmal Mian University of Western Australia
Faisal Shafait
Faisal Shafait National University of Sciences and Technology
Clive S. Fraser
Clive S. Fraser University of Melbourne
Fabio Remondino
Fabio Remondino Fondazione Bruno Kessler
Simon C. Watkins
Simon C. Watkins University of Pittsburgh
David F. Fletcher
David F. Fletcher University of Sydney
Gary A. Kendrick
Gary A. Kendrick University of Western Australia
Hari B. Vuthaluru
Hari B. Vuthaluru Curtin University
Mark Christopher Thompson
Mark Christopher Thompson Monash University

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