World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
63
Citations
33831
World Ranking
1328
National Ranking
548

Computer Science

D-Index
64
Citations
34434
World Ranking
2512
National Ranking
1253

Tom Richardson 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 Richardson 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: 254 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Tom Richardson 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 Richardson 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2014 - IEEE Richard W. Hamming Medal “For fundamental contributions to coding theory, iterative information processing, and applications.”
  • 2011 - IEEE Koji Kobayashi Computers and Communications Award “For developing the theory and practice of transmitting data reliably at rates approaching channel capacity.”
  • 2011 - Member of the National Academy of Engineering For contributions to error control coding theory and their application to multiple access wireless systems.
  • 2007 - IEEE Fellow For contributions to coding theory and practice

Overview

Tom Richardson is affiliated with Qualcomm in the United States. Their research activities span multiple fields including Biochemistry, Genetics and Molecular Biology, Medicine, and Chemistry. Within these broad fields, their work focuses specifically on subfields such as Molecular Biology, Neurology, and Organic Chemistry.

The scientist has concentrated research efforts on several main topics, notably Histone Deacetylase Inhibitors Research, Amyotrophic Lateral Sclerosis Research, and Synthetic Organic Chemistry Methods. These themes are reflected in the recent scholarly output and coauthorship network.

One of the latest publications by Tom Richardson is titled A next-generation HDAC6 inhibitor for amyotrophic lateral sclerosis and frontotemporal dementia, published in 2025 in the journal Brain.

Frequent coauthors collaborating with Richardson include:

  • Rebecca E. James
  • Michael E. Bekier
  • P. Lee
  • Frederick A. Schroeder
  • Lauren Jayne Evans

Publications predominantly appear in the venue:

  • Brain

Tom Richardson's contributions extend beyond research papers to recognition by professional organizations. Awards received include:

  • IEEE Richard W. Hamming Medal (2014) for fundamental contributions to coding theory, iterative information processing, and applications
  • IEEE Koji Kobayashi Computers and Communications Award (2011) for developing the theory and practice of transmitting data reliably at rates approaching channel capacity
  • Membership in the National Academy of Engineering (2011) for contributions to error control coding theory and their application to multiple access wireless systems
  • IEEE Fellow (2007) recognized for contributions to coding theory and practice

The profile of Tom Richardson reveals a multidisciplinary researcher with involvement in both molecular and clinical aspects of medicine, alongside significant contributions in chemistry and information theory as recognized by prestigious awards. Their collaborative network encompasses a range of scientists contributing to related topics in neurology, biochemistry, and synthetic organic chemistry.

Best Publications

  • Design of capacity-approaching irregular low-density parity-check codes

    T.J. Richardson;M.A. Shokrollahi;R.L. Urbanke

  • The capacity of low-density parity-check codes under message-passing decoding

    T.J. Richardson;R.L. Urbanke

  • Modern Coding Theory

    Tom Richardson;Ruediger Urbanke

  • On the design of low-density parity-check codes within 0.0045 dB of the Shannon limit

    Sae-Young Chung;G.D. Forney;T.J. Richardson;R. Urbanke

  • Efficient encoding of low-density parity-check codes

    T.J. Richardson;R.L. Urbanke

  • Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation

    Sae-Young Chung;T.J. Richardson;R.L. Urbanke

  • Visible light communication: opportunities, challenges and the path to market

    Aleksandar Jovicic;Junyi Li;Tom Richardson

  • Finite-length analysis of low-density parity-check codes on the binary erasure channel

    Changyan Di;D. Proietti;I.E. Telatar;T.J. Richardson

  • Error Floors of LDPC Codes

    Tom Richardson

  • Systematic design of unitary space-time constellations

    B.M. Hochwald;T.L. Marzetta;T.J. Richardson;W. Sweldens

  • Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC

    S Kudekar;T J Richardson;Rüdiger L Urbanke

  • FlashLinQ: a synchronous distributed scheduler for peer-to-peer ad hoc networks

    Xinzhou Wu;Saurabha Tavildar;Sanjay Shakkottai;Tom Richardson

  • Spatially Coupled Ensembles Universally Achieve Capacity Under Belief Propagation

    Shrinivas Kudekar;Tom Richardson;Rudiger L. Urbanke

  • Methods and apparatus for decoding ldpc codes

    Tom Richardson;Vladimir Novichkov

  • Design of Low-Density Parity Check Codes for 5G New Radio

    Tom Richardson;Shrinivas Kudekar

  • Toward proximity-aware internetworking

    M Scott Corson;R Laroia;Junyi Li;Vincent Park

  • Multi-Edge Type LDPC Codes

    T. Richardson;R. Urbanke

  • The renaissance of Gallager's low-density parity-check codes

    T. Richardson;R. Urbanke

  • Multiple-antenna signal constellations for fading channels

    D. Agrawal;T.J. Richardson;R.L. Urbanke

  • The geometry of turbo-decoding dynamics

    T. Richardson

Frequent Co-Authors

Junyi Li
Junyi Li Qualcomm (United States)
Xinzhou Wu
Xinzhou Wu Qualcomm (United States)
Rudiger Urbanke
Rudiger Urbanke École Polytechnique Fédérale de Lausanne
Sanjay Shakkottai
Sanjay Shakkottai The University of Texas at Austin
Vincent D. Park
Vincent D. Park Qualcomm (United States)
Aamod Khandekar
Aamod Khandekar Qualcomm (United States)
Michael Luby
Michael Luby BitRipple
Ravi Palanki
Ravi Palanki Google (United States)

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Related Online Degrees & Career Pathways

For students exploring Electronics and Electrical Engineering, online education offers flexible options to balance work and study. Many programs now feature accelerated online degrees, enabling working professionals to complete their studies more quickly without sacrificing quality.

In addition to traditional engineering tracks, interdisciplinary fields like instructional design are gaining popularity. Online programs such as a master's in instructional design offer pathways into education technology sectors that complement engineering expertise.

Competency-based learning is another growing trend, where competency-based online colleges assess students on skills mastery rather than time spent in class. This model suits self-motivated learners looking to progress at their own pace.

Finally, many institutions support diverse communities with programs tailored to unique needs, such as online colleges for military spouses, ensuring accessibility and flexibility for all students pursuing their engineering and technology careers.

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