World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4522
World Ranking
14007
National Ranking
52

William Scanlon 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 William Scanlon 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: 213 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

William Scanlon 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 William Scanlon 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

William Scanlon is affiliated with the Tyndall National Institute in Ireland and specializes in the field of Engineering with a focus on Electrical and Electronic Engineering. Their research spans several subfields including Biomedical Engineering, Aerospace Engineering, Signal Processing, and Industrial and Manufacturing Engineering.

Their work covers a range of topics related to wireless communications and antenna technologies. Key areas include:

  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Wireless Body Area Networks
  • Antenna Design and Analysis
  • Energy Harvesting in Wireless Networks
  • Microwave Engineering and Waveguides
  • Indoor and Outdoor Localization Technologies

Frequent collaborators of William Scanlon include Seong Ki Yoo, Simon L. Cotton, Mohammad J. Abdel-Rahman, Holger Claußen, and Lei Zhang.

William Scanlon has published research in several reputable scientific venues such as:

  • Proceedings of the IEEE
  • IEEE Transactions on Antennas and Propagation
  • IEEE Access
  • IEEE Antennas and Wireless Propagation Letters

Recent publications illustrate the scope and focus of their research:

  • Indoor Millimeter-Wave Systems: Design and Performance Evaluation, 2020, Proceedings of the IEEE
  • Circularly Polarized Dual-Mode Wearable Implant Repeater Antenna With Enhanced Into-Body Gain, 2020, IEEE Transactions on Antennas and Propagation
  • An RSS-Based Classification of User Equipment Usage in Indoor Millimeter Wave Wireless Networks Using Machine Learning, 2020, IEEE Access
  • A Bandwidth-Enhanced Sub-GHz Wristwatch Antenna Using an Optimized Feed Structure, 2021, IEEE Antennas and Wireless Propagation Letters
  • A Time Series-Based Study of Correlation, Channel Power Imbalance, and Diversity Gain in Indoor Distributed Antenna Systems at 60 GHz, 2021, IEEE Transactions on Antennas and Propagation

Best Publications

  • Analysis of the performance of IEEE 802.15.4 for medical sensor body area networking

    N.F. Timmons;W.G. Scanlon

  • Antennas for Over-Body-Surface Communication at 2.45 GHz

    G.A. Conway;W.G. Scanlon

  • Radiowave propagation from a tissue-implanted source at 418 MHz and 916.5 MHz

    W.G. Scanlon;B. Burns;N.E. Evans

  • An adaptive energy efficient MAC protocol for the medical body area network

    N. F. Timmons;W. G. Scanlon

  • Wireless networked control systems with QoS-based sampling

    J. Colandairaj;George Irwin;William Scanlon

  • Numerical analysis of bodyworn UHF antenna systems

    William Scanlon;N.E. Evans

  • An experimental investigation into the influence of user state and environment on fading characteristics in wireless body area networks at 2.45 GHz

    S.L. Cotton;W.G. Scanlon

  • Millimeter-wave soldier-to-soldier communications for covert battlefield operations

    S.L. Cotton;W.G. Scanlon;B.K. Madahar

  • Channel Characterization for Single- and Multiple-Antenna Wearable Systems Used for Indoor Body-to-Body Communications

    S.L. Cotton;W.G. Scanlon

  • A Statistical Analysis of Indoor Multipath Fading for a Narrowband Wireless Body Area Network

    Simon Cotton;William Scanlon

  • Characterization and Modeling of the Indoor Radio Channel at 868 MHz for a Mobile Bodyworn Wireless Personal Area Network

    S.L. Cotton;W.G. Scanlon

  • A Time-Domain Approach to the Analysis and Modeling of On-Body Propagation Characteristics Using Synchronized Measurements at 2.45 GHz

    S.L. Cotton;G.A. Conway;W.G. Scanlon

  • RF performance of a 418-MHz radio telemeter packaged for human vaginal placement

    W.G. Scanlon;N.E. Evans;Z.M. McCreesh

  • Higher Order Statistics for Lognormal Small-Scale Fading in Mobile Radio Channels

    S.L. Cotton;W.G. Scanlon

  • Prediction of variation in MIMO channel capacity for the populated indoor environment using a Radar cross-section-based pedestrian model

    K.I. Ziri-Castro;W.G. Scanlon;N.E. Evans

  • Co-design of predictive controllers for wireless network control

    George Irwin;J. Chen;A. McKernan;William Scanlon

  • In Situ Measurement of UHF Wearable Antenna Radiation Efficiency Using a Reverberation Chamber

    G.A. Conway;W.G. Scanlon;C. Orlenius;C. Walker

  • A simulated study of co-channel inter-BAN interference at 2.45 GHz and 60 GHz

    Simon L. Cotton;William G. Scanlon;Peter S. Hall

  • Pedestrian-induced fading for indoor channels at 2.45, 5.7 and 62 GHz

    F. Villanese;N.E. Evans;W.G. Scanlon

  • Tissue-Independent Implantable Antenna for In-Body Communications at 2.36–2.5 GHz

    Matthew K. Magill;Gareth A. Conway;William G. Scanlon

  • Device-Free Person Detection and Ranging in UWB Networks

    Yakup Kilic;Henk Wymeersch;Arjan Meijerink;Mark J. Bentum

Frequent Co-Authors

Simon L. Cotton
Simon L. Cotton Queen's University Belfast
George W. Irwin
George W. Irwin Queen's University Belfast
Mark J. Bentum
Mark J. Bentum Eindhoven University of Technology
Henk Wymeersch
Henk Wymeersch Chalmers University of Technology
Luiz A. DaSilva
Luiz A. DaSilva Virginia Tech
David Lopez-Perez
David Lopez-Perez Universitat Politècnica de València
Holger Claussen
Holger Claussen Tyndall National Institute
Walid Saad
Walid Saad Virginia Tech
Allen B. MacKenzie
Allen B. MacKenzie Tennessee Technological University
Hien Quoc Ngo
Hien Quoc Ngo Queen's University Belfast

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