World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
5857
World Ranking
3784
National Ranking
206

Karl Woodbridge 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 Karl Woodbridge 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: 258 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Karl Woodbridge 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 Karl Woodbridge 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: 44 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Overview

Karl Woodbridge is affiliated with University College London in the United Kingdom. Their research focuses primarily on the field of engineering, with significant contributions to aerospace engineering, biomedical engineering, and electrical and electronic engineering. They have also worked in computer vision and pattern recognition as well as oceanography.

Their work covers a range of topics within engineering, including:

  • Indoor and Outdoor Localization Technologies
  • Non-Invasive Vital Sign Monitoring
  • Advanced SAR Imaging Techniques
  • Radar Systems and Signal Processing
  • Microwave Imaging and Scattering Analysis
  • Context-Aware Activity Recognition Systems
  • Underwater Acoustics Research

Woodbridge's publications reflect a focus on radar and sensing technologies, often applied to human activity recognition and monitoring. Significant recent papers include:

  • "Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point" (2020) published in IEEE Transactions on Geoscience and Remote Sensing
  • "OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors" (2022) published in Scientific Data
  • "SimHumalator: An Open-Source End-to-End Radar Simulator for Human Activity Recognition" (2021) published in IEEE Aerospace and Electronic Systems Magazine
  • "On CSI and Passive Wi-Fi Radar for Opportunistic Physical Activity Recognition" (2021) published in IEEE Transactions on Wireless Communications
  • "Respiration and Activity Detection Based on Passive Radio Sensing in Home Environments" (2020) published in IEEE Access

Their work has been featured frequently in venues such as arXiv, IET Radar Sonar & Navigation, IEEE Transactions on Geoscience and Remote Sensing, Scientific Data, and IEEE Aerospace and Electronic Systems Magazine.

Woodbridge's frequent collaborators include:

  • Kevin Chetty
  • Wenda Li
  • Chong Tang
  • Shelly Vishwakarma
  • Robert J. Piechocki

The combination of research topics and publication venues demonstrates an interdisciplinary approach to solving challenges in sensing and recognition systems, with applications in both biomedical and aerospace contexts. Their contributions to datasets, simulators, and system design suggest involvement in experimental as well as theoretical aspects of engineering research.

Best Publications

  • Through-the-Wall Sensing of Personnel Using Passive Bistatic WiFi Radar at Standoff Distances

    K. Chetty;G. E. Smith;K. Woodbridge

  • Magneto-optics in GaAs-Ga1-xAlxAs quantum wells.

    D. C. Rogers;J. Singleton;R. J. Nicholas;C. T. Foxon

  • Rheed studies of heterojunction and quantum well formation during MBE growth-from multiple scattering to band offsets

    B.A. Joyce;P.J. Dobson;J.H. Neave;K. Woodbridge

  • Computer modeling of the electric field dependent absorption spectrum of multiple quantum well material

    P.J. Stevens;M. Whitehead;G. Parry;K. Woodbridge

  • Knowledge-based resource management for multifunction radar: a look at scheduling and task prioritization

    S. Miranda;C. Baker;K. Woodbridge;H. Griffiths

  • Exploiting WiFi Channel State Information for Residential Healthcare Informatics

    Bo Tan;Qingchao Chen;Kevin Chetty;Karl Woodbridge

  • Observations and calculations of the exciton binding energy in (In,Ga)As/GaAs strained-quantum-well heterostructures

    Karen J. Moore;Geoffrey Duggan;Karl Woodbridge;Christine Roberts

  • Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar

    Carmine Clemente;Alessio Balleri;Karl Woodbridge;John J Soraghan

  • Ambiguity Function Analysis of Wireless LAN Transmissions for Passive Radar

    F Colone;K Woodbridge;H Guo;D Mason

  • Design and evaluation of a low-cost multistatic netted radar system

    T.E. Derham;S. Doughty;K. Woodbridge;C.J. Baker

  • Fuzzy logic approach for prioritisation of radar tasks and sectors of surveillance in multifunction radar

    S.L.C. Miranda;C.J. Baker;K. Woodbridge;H.D. Griffiths

  • Radar Micro-Doppler Signature Classification using Dynamic Time Warping

    Graeme E Smith;Karl Woodbridge;Chris J Baker

  • Frequency diverse array: Simulation and design

    Jingjing Huang;Kin-Fai Tong;Karl Woodbridge;Chris Baker

  • Effects of prelayers on minority‐carrier lifetime in GaAs/AlGaAs double heterostructures grown by molecular beam epitaxy

    P. Dawson;K. Woodbridge

  • Free excitons in room-temperature photoluminescence of GaAs- Al x Ga 1 − x As multiple quantum wells

    P. Dawson;G. Duggan;H. I. Ralph;K. Woodbridge

  • Evaluation of WiFi beacon transmissions for wireless based passive radar

    H. Guo;K. Woodbridge;C.J. Baker

  • A real-time high resolution passive WiFi Doppler-radar and its applications

    Bo Tan;Karl Woodbridge;Kevin Chetty

  • Delta-doping of GaAs and Al0.33Ga0.67As with Sn, Si and Be: a comparative study

    J.J. Harris;J.B. Clegg;R.B. Beall;J. Castagné

  • Comparison of scheduling algorithms for multifunction radar

    S.L.C. Miranda;C.J. Baker;K. Woodbridge;H.D. Griffiths

  • Short wavelength (visible) GaAs quantum well lasers grown by molecular beam epitaxy

    K. Woodbridge;P. Blood;E. D. Fletcher;P. J. Hulyer

  • Transient grating studies of excitonic optical nonlinearities in GaAs/AlGaAs multiple-quantum-well structures

    Alan Miller;R. J. Manning;P. K. Milsom;D. C. Hutchings

Frequent Co-Authors

Hugh Griffiths
Hugh Griffiths University College London
Graeme Smith
Graeme Smith University of Colorado Boulder
B.A. Joyce
B.A. Joyce Imperial College London
Mark Hopkinson
Mark Hopkinson University of Sheffield
Robert J. Manning
Robert J. Manning Tyndall National Institute
Chris I. Baker
Chris I. Baker National Institutes of Health
Chris Baker
Chris Baker University of Birmingham
Christopher J. Baker
Christopher J. Baker University of Birmingham
Robert J. Piechocki
Robert J. Piechocki University of Bristol
Bernard Gil
Bernard Gil University of Montpellier

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, exploring related fields can expand career opportunities. One popular option is an online project management degree accelerated to suit busy professionals looking to advance quickly. These programs offer flexibility for those balancing work and study.

Additionally, a bachelor's degree in project management equips students with essential leadership and organizational skills, complementing the technical expertise from engineering studies. This dual skill set is highly valued in tech-driven industries.

Many universities now provide accelerated online degree programs tailored for working adults. These programs enable quicker completion times without sacrificing quality, making higher education more accessible for those looking to upskill in a competitive job market.

For those interested in designing educational technologies or training materials, pursuing a master's in instructional design is an excellent pathway. This degree merges technology and education, providing a unique niche within the engineering domain.

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