World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
20360
World Ranking
4373
National Ranking
136

Computer Science

D-Index
45
Citations
21284
World Ranking
6981
National Ranking
222

Tom Drummond publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Tom Drummond sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 153 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Tom Drummond D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Tom Drummond sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Tom Drummond is affiliated with Monash University in Australia and specializes primarily in computer science, with a significant focus on computer vision and pattern recognition.

Their research encompasses various subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Control and Systems Engineering
  • Signal Processing

The main research topics explored comprise:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Medical Image Segmentation Techniques
  • COVID-19 diagnosis using AI
  • Social Robot Interaction and Human-Robot Interaction (HRI)

Drummond has co-authored multiple papers with several frequent collaborators, including:

  • Mehrtash Harandi
  • Zongyuan Ge
  • Rongkai Ma
  • M. Hiller
  • Bryce Ferenczi

Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Topics in Cognitive Science
  • Lecture Notes in Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent papers published by Drummond feature a range of topics and venues:

  • Hierarchical Neural Architecture Search for Deep Stereo Matching (2020, arXiv (Cornell University))
  • Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers (2022, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • Progressive Video Summarization via Multimodal Self-supervised Learning (2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV))
  • Visualizing Robot Intent for Object Handovers with Augmented Reality (2022, 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN))
  • Rethinking Generalization in Few-Shot Classification (2022, arXiv (Cornell University))

Best Publications

  • Machine Learning for High-Speed Corner Detection

    Edward Rosten;Tom Drummond

  • Faster and Better: A Machine Learning Approach to Corner Detection

    E. Rosten;R. Porter;T. Drummond

  • Fusing points and lines for high performance tracking

    E. Rosten;T. Drummond

  • Real-time visual tracking of complex structures

    T. Drummond;R. Cipolla

  • Pose tracking from natural features on mobile phones

    Daniel Wagner;Gerhard Reitmayr;Alessandro Mulloni;Tom Drummond

  • Going out: robust model-based tracking for outdoor augmented reality

    Gerhard Reitmayr;Tom Drummond

  • Scalable Monocular SLAM

    E. Eade;T. Drummond

  • Real-Time Detection and Tracking for Augmented Reality on Mobile Phones

    D. Wagner;G. Reitmayr;A. Mulloni;T. Drummond

  • Smart Mining for Deep Metric Learning

    Ben Harwood;Vijay Kumar B. G;Gustavo Carneiro;Ian Reid

  • Camera Calibration from Vanishing Points in Image of Architectural Scenes.

    Roberto Cipolla;Tom Drummond;Duncan P. Robertson

  • A probabilistic framework for space carving

    A. Broadhurst;T.W. Drummond;R. Cipolla

  • Edge landmarks in monocular SLAM

    Ethan Eade;Tom Drummond

  • Unified loop closing and recovery for real time monocular SLAM

    Ethan Eade;Thomas Drummond

  • Hierarchical Neural Architecture Search for Deep Stereo Matching

    Xuelian Cheng;Yiran Zhong;Mehrtash Harandi;Yuchao Dai

  • Monocular SLAM as a Graph of Coalesced Observations

    E. Eade;T. Drummond

  • A review of deep learning in the study of materials degradation

    Will Nash;Tom Drummond;Nick Birbilis

  • ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition

    Qi Pan;Gerhard Reitmayr;Thomas Drummond

  • Real-Time Tracking of Multiple Articulated Structures in Multiple Views

    Tom Drummond;Roberto Cipolla

  • Layered motion segmentation and depth ordering by tracking edges

    P. Smith;T. Drummond;R. Cipolla

  • Event-Based Motion Segmentation by Motion Compensation

    Timo Stoffregen;Guillermo Gallego;Tom Drummond;Lindsay Kleeman

  • Reducing the Sim-to-Real Gap for Event Cameras

    Timo Stoffregen;Cedric Scheerlinck;Davide Scaramuzza;Tom Drummond

Frequent Co-Authors

Roberto Cipolla
Roberto Cipolla University of Cambridge
Gerhard Reitmayr
Gerhard Reitmayr Qualcomm (Austria)
Ian Reid
Ian Reid University of Adelaide
Nick Birbilis
Nick Birbilis Deakin University
Isabelle Fantoni
Isabelle Fantoni Centre national de la recherche scientifique, CNRS
Peter Corke
Peter Corke Queensland University of Technology
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Dieter Schmalstieg
Dieter Schmalstieg University of Stuttgart

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