World's Best Scientists 2026 revealed!
Andrew Fitzgibbon

Andrew Fitzgibbon

D-Index & Metrics

Computer Science

D-Index
82
Citations
51066
World Ranking
925
National Ranking
504

Andrew Fitzgibbon 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 Andrew Fitzgibbon 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: 282 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.

Andrew Fitzgibbon 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 Andrew Fitzgibbon 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: 82 D-Index — 94th percentile

94% 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

  • 2017 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2014 - Fellow of the Royal Academy of Engineering (UK)
  • 2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to 3D computer vision research and its applications

Overview

Andrew Fitzgibbon is affiliated with Graphcore in the United States and has contributed extensively to the field of computer science, focusing on multiple subfields. Their work spans computer vision and pattern recognition, artificial intelligence, computational theory and mathematics, materials chemistry, and control and systems engineering.

The main areas of research topics they have engaged in include:

  • Machine Learning in Materials Science
  • Topic Modeling
  • 3D Shape Modeling and Analysis
  • Computational Drug Discovery Methods
  • Advanced Control Systems Optimization
  • Numerical Methods and Algorithms
  • Robotics and Sensor-Based Localization

Frequent co-authors in their publications include:

  • Hatem Helal
  • Simon Peyton Jones
  • Thomas J. Cashman
  • Federica Bogo
  • Kerstin Kläser

Their recent publications cover a variety of topics and appear across reputable venues. Selected papers include:

  • "Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data," 2020, arXiv (Cornell University)
  • "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation," 2022, Proceedings of the ACM on Programming Languages
  • "Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance," 2021, arXiv (Cornell University)
  • "Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets," 2023, arXiv (Cornell University)
  • "Training and inference of large language models using 8-bit floating point," 2023, arXiv (Cornell University)

Andrew Fitzgibbon's works have been published predominantly in the venue arXiv (Cornell University) with sixteen publications, alongside contributions to the Proceedings of the ACM on Programming Languages and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Their recognition within the scientific community is reflected by several awards, including:

  • Distinguished Fellow of the British Machine Vision Association (BMVA), 2017
  • Fellow of the Royal Academy of Engineering (UK), 2014
  • Fellow of the International Association for Pattern Recognition (IAPR), 2012, for contributions to 3D computer vision research and its applications

Best Publications

  • Real-time human pose recognition in parts from single depth images

    Jamie Shotton;Andrew Fitzgibbon;Mat Cook;Toby Sharp

  • Bundle Adjustment - A Modern Synthesis

    Bill Triggs;Philip F. McLauchlan;Richard I. Hartley;Andrew W. Fitzgibbon

  • KinectFusion: Real-time dense surface mapping and tracking

    Richard A. Newcombe;Shahram Izadi;Otmar Hilliges;David Molyneaux

  • Real-time human pose recognition in parts from single depth images

    Jamie Shotton;Toby Sharp;Alex Kipman;Andrew Fitzgibbon

  • KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

    Shahram Izadi;David Kim;Otmar Hilliges;David Molyneaux

  • Direct least squares fitting of ellipses

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

  • Robust registration of 2D and 3D point sets

    Andrew W. Fitzgibbon

  • An experimental comparison of range image segmentation algorithms

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

  • Robust Registration of 2D and 3D Point Sets

    Unknown

  • Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

    Jamie Shotton;Ben Glocker;Christopher Zach;Shahram Izadi

  • Simultaneous linear estimation of multiple view geometry and lens distortion

    A.W. Fitzgibbon

  • Efficient Human Pose Estimation from Single Depth Images

    Jamie Shotton;Ross Girshick;Andrew Fitzgibbon;Toby Sharp

  • Automatic Camera Recovery for Closed or Open Image Sequences

    Andrew W. Fitzgibbon;Andrew Zisserman

  • Accurate, Robust, and Flexible Real-time Hand Tracking

    Toby Sharp;Cem Keskin;Duncan Robertson;Jonathan Taylor

  • Efficient object category recognition using classemes

    Lorenzo Torresani;Martin Szummer;Andrew Fitzgibbon

  • Efficient regression of general-activity human poses from depth images

    Ross Girshick;Jamie Shotton;Pushmeet Kohli;Antonio Criminisi

  • Global Stereo Reconstruction under Second-Order Smoothness Priors

    O. Woodford;P. Torr;I. Reid;A. Fitzgibbon

  • Real-time non-rigid reconstruction using an RGB-D camera

    Michael Zollhöfer;Matthias Nießner;Shahram Izadi;Christoph Rehmann

  • Global stereo reconstruction under second order smoothness priors

    O.J. Woodford;P.H.S. Torr;I.D. Reid;A.W. Fitzgibbon

  • Markerless tracking using planar structures in the scene

    G. Simon;A.W. Fitzgibbon;A. Zisserman

  • Efficient Regression of General-Activity Human Poses from Depth Images: Supplementary Material

    Ross Girshick;Jamie Shotton;Pushmeet Kohli;Antonio Criminisi

Frequent Co-Authors

Jamie Shotton
Jamie Shotton Microsoft (United States)
Shahram Izadi
Shahram Izadi Google (United States)
Andrew Zisserman
Andrew Zisserman University of Oxford
Robert B. Fisher
Robert B. Fisher University of Edinburgh
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
David Kim
David Kim Microsoft (United States)
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Otmar Hilliges
Otmar Hilliges ETH Zurich
Roberto Cipolla
Roberto Cipolla University of Cambridge

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