World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
16344
World Ranking
4000
National Ranking
240

Robert B. Fisher 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 Robert B. Fisher 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: 319 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Robert B. Fisher 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 Robert B. Fisher 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Robert B. Fisher is affiliated with the University of Edinburgh in the United Kingdom. Their research spans multiple disciplines within computer science and engineering, with a primary focus on computer vision, artificial intelligence, and related subfields.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Their work is further concentrated in these subfields:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Computational Mechanics
  • Biomedical Engineering

Robert B. Fisher's research covers a variety of topics, notably:

  • Robotics and Sensor-Based Localization
  • Anomaly Detection Techniques and Applications
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • AI in cancer detection
  • Context-Aware Activity Recognition Systems

Examples of recent publications illustrate the diversity and focus of their work. These include:

  • "Automatic Hierarchical Classification of Kelps Using Deep Residual Features" (2020) published in Sensors
  • "Segmentation and 3D reconstruction of rose plants from stereoscopic images" (2020) published in Computers and Electronics in Agriculture
  • "When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)" (2020) published in Applied Sciences
  • "The effect of target salience and size in visual search within naturalistic scenes under degraded vision" (2021) published in Journal of Vision
  • "Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views" (2021) published in arXiv (Cornell University)

Frequent coauthors contributing to collaborative research alongside Robert B. Fisher include:

  • Hanz Cuevas-Velasquez
  • Longfei Chen
  • Antonio-Javier Gallego
  • Marcelo Saval-Calvo
  • Sun Zhaole

Publication venues where Robert B. Fisher frequently appears are:

  • arXiv (Cornell University)
  • Sensors
  • Computers and Electronics in Agriculture
  • Applied Sciences
  • Journal of Vision

Best Publications

  • Direct least squares fitting of ellipses

    A.W. Fitzgibbon;M. Pilu;R.B. Fisher

  • An experimental comparison of range image segmentation algorithms

    A. Hoover;G. Jean-Baptiste;X. Jiang;P.J. Flynn

  • Estimating 3-D rigid body transformations: a comparison of four major algorithms

    D. W. Eggert;A. Lorusso;R. B. Fisher

  • A buyer's guide to conic fitting

    Andrew W. Fitzgibbon;Robert B. Fisher

  • Object-based visual attention for computer vision

    Yaoru Sun;Robert Fisher

  • Modelling Crowd Scenes for Event Detection

    E.L. Andrade;S. Blunsden;R.B. Fisher

  • Hypermedia image processing reference

    Robert Fisher

  • A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions

    Lucia Ballerini;Robert B. Fisher;Benjamin Aldridge;Jonathan Rees

  • DETECTING, TRACKING AND COUNTING FISH IN LOW QUALITY UNCONSTRAINED UNDERWATER VIDEOS

    Concetto Spampinato;Yun-Heh Chen-Burger;Gayathri Nadarajan;Robert B. Fisher

  • Automatic fish classification for underwater species behavior understanding

    Concetto Spampinato;Daniela Giordano;Roberto Di Salvo;Yun-Heh Jessica Chen-Burger

  • A Comparison of Algorithms for Subpixel Peak Detection

    R. B. Fisher;D. K. Naidu

  • Simultaneous Registration of Multiple Range Views for Use in Reverse Engineering of CAD Models

    David W. Eggert;Andrew W. Fitzgibbon;Robert B. Fisher

  • Hidden Markov Models for Optical Flow Analysis in Crowds

    E.L. Andrade;S. Blunsden;R.B. Fisher

  • The BEHAVE video dataset: ground truthed video for multi-person behavior classification

    S. Blunsden;R. B. Fisher

  • A comparison of four algorithms for estimating 3-D rigid transformations

    A. Lorusso;D. W. Eggert;R. B. Fisher

  • Ellipse-specific direct least-square fitting

    M. Pilu;A.W. Fitzgibbon;R.B. Fisher

  • Dictionary of Computer Vision and Image Processing

    Robert B. Fisher;Toby P. Breckon;Kenneth Dawson-Howe;Andrew Fitzgibbon

  • Experiments in curvature-based segmentation of range data

    E. Trucco;R.B. Fisher

  • Classifying imbalanced data sets using similarity based hierarchical decomposition

    Cigdem Beyan;Robert Fisher

  • LifeCLEF 2015: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervé Goëau;Hervé Glotin;Concetto Spampinato

  • Simultaneous registration of multiple range views for use in reverse engineering

    D.W. Eggert;A.W. Fitzgibbon;R.B. Fisher

Frequent Co-Authors

Jonathan L. Rees
Jonathan L. Rees University of Edinburgh
Emanuele Trucco
Emanuele Trucco University of Dundee
Concetto Spampinato
Concetto Spampinato University of Catania
Toby P. Breckon
Toby P. Breckon Durham University
Graham D. Finlayson
Graham D. Finlayson University of East Anglia
Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Ferdous Sohel
Ferdous Sohel Murdoch University
Farid Boussaid
Farid Boussaid University of Western Australia
Gary A. Kendrick
Gary A. Kendrick University of Western Australia

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