World's Best Scientists 2026 revealed!
T. Aaron Gulliver

T. Aaron Gulliver

D-Index & Metrics

Computer Science

D-Index
44
Citations
9781
World Ranking
7483
National Ranking
301

T. Aaron Gulliver 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 T. Aaron Gulliver 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: 805 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

T. Aaron Gulliver 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 T. Aaron Gulliver 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

T. Aaron Gulliver is an academic affiliated with the University of Victoria in Canada with a focus on engineering and computer science. Their research spans a range of subfields including electrical and electronic engineering, artificial intelligence, computer networks and communications, control and systems engineering, and building and construction.

The main topics of their work cover multiple areas such as traffic control and management, traffic prediction and management techniques, transportation planning and optimization, coding theory and cryptography, advanced MIMO systems optimization, graph theory and CDMA systems, and underwater vehicles and communication systems.

They have contributed to numerous publications, frequently appearing in various scholarly venues. The top outlets where their work is found include:

  • IEEE Access
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • Civil Engineering Journal
  • Applied Sciences

Some recent papers authored or coauthored by T. Aaron Gulliver include:

  • Low-Complexity MIMO-FBMC Sparse Channel Parameter Estimation for Industrial Big Data Communications, 2020, IEEE Transactions on Industrial Informatics
  • A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise, 2020, IEEE Transactions on Vehicular Technology
  • Unsupervised log message anomaly detection, 2020, ICT Express
  • Image splicing detection using mask-RCNN, 2020, Signal Image and Video Processing
  • Intelligent Outage Probability Prediction for Mobile IoT Networks Based on an IGWO-Elman Neural Network, 2021, IEEE Transactions on Vehicular Technology

Frequent collaborators in their research include:

  • Khurram Shehzad Khattak
  • Lingwei Xu
  • Zawar H. Khan
  • Faryal Ali
  • Ahmed B. Altamimi

T. Aaron Gulliver's research is interdisciplinary, covering aspects from the optimization of communication systems and network anomaly detection to acoustic signal processing in underwater environments. Their work employs methods and technologies relevant to emerging fields like IoT and big data communications, with applications in both terrestrial and underwater settings.

The breadth of their contributions reflects a balance between applied engineering challenges and the development of novel analytical and computational approaches within their fields of study.

Best Publications

  • Constructions of good entanglement-assisted quantum error correcting codes

    Kenza Guenda;Somphong Jitman;T. Aaron Gulliver

  • An RSSI based DV-hop algorithm for wireless sensor networks

    Han Xiao;Hao Zhang;Zengfeng Wang;T. Aaron Gulliver

  • Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids

    Yandong Yang;Wei Li;T. Aaron Gulliver;Shufang Li

  • Low-Complexity MIMO-FBMC Sparse Channel Parameter Estimation for Industrial Big Data Communications

    Han Wang;Lingwei Xu;Zhengqiang Yan;T. Aaron Gulliver

  • Cooperative RSS-Based Localization in Wireless Sensor Networks Using Relative Error Estimation and Semidefinite Programming

    Zengfeng Wang;Hao Zhang;Tingting Lu;T. Aaron Gulliver

  • Single parity check product codes

    Unknown

  • Semisupervised Multilabel Deep Learning Based Nonintrusive Load Monitoring in Smart Grids

    Yandong Yang;Jing Zhong;Wei Li;T. Aaron Gulliver

  • Improved denoising method for through-wall vital sign detection using UWB impulse radar

    Xiaolin Liang;Xiaolin Liang;Hao Zhang;Hao Zhang;Shengbo Ye;Guangyou Fang

  • A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise

    Jingjing Wang;Jiaheng Li;Shefeng Yan;Wei Shi

  • Unsupervised log message anomaly detection

    Amir Farzad;T. Aaron Gulliver

  • On self-dual MDS codes

    Unknown

  • An Improved Algorithm for Through-Wall Target Detection Using Ultra-Wideband Impulse Radar

    Xiaolin Liang;Hao Zhang;Guangyou Fang;Shengbo Ye

  • A UAV Detection Algorithm Based on an Artificial Neural Network

    Hao Zhang;Conghui Cao;Lingwei Xu;T. Aaron Gulliver

  • On self-dual codes over some prime fields

    Koichi Betsumiya;Stelios Georgiou;T. Aaron Gulliver;Masaaki Harada

  • Some best rate 1/p and rate (p-1)/p systematic quasi-cyclic codes

    T.A. Gulliver;V.K. Bhargava

  • Image splicing detection using mask-RCNN

    Belal Ahmed;T. Aaron Gulliver;Saif alZahir

  • Performance analysis of IAF relaying mobile D2D cooperative networks

    Lingwei Xu;Jingjing Wang;Hao Zhang;Hao Zhang;T. Aaron Gulliver

  • Graph coloring based spectrum allocation for femtocell downlink interference mitigation

    Li Tan;Zhiyong Feng;Wei Li;Zhong Jing

  • Classification of extremal double-circulant self-dual codes of lengths up to 62

    Masaaki Harada;T. Aaron Gulliver;Hitoshi Kaneta

  • Vehicle Positioning Using 5G Millimeter-Wave Systems

    Unknown

  • Some best rate 1/p and rate (p-1)/p systematic quasi-cyclic codes over GF(3) and GF(4)

    T.A. Gulliver;V.K. Bhargava

  • Wireless Mesh Networks for In-Home IPTV Distribution

    E. Shihab;Lin Cai;Fengdan Wan;A. Gulliver

  • Classification of Extremal Double Circulant Self-Dual Codesof Lengths 64 to 72

    T. Aaron Gulliver;Masaaki Harada

  • A Faster RCNN-Based Pedestrian Detection System

    Xiaotong Zhao;Wei Li;Yifang Zhang;T. Aaron Gulliver

Frequent Co-Authors

Zhiyong Feng
Zhiyong Feng Beijing University of Posts and Telecommunications
Vijay K. Bhargava
Vijay K. Bhargava University of British Columbia
Daniel M. German
Daniel M. German University of Victoria
Patrick Solé
Patrick Solé Centre national de la recherche scientifique, CNRS
Xiaodai Dong
Xiaodai Dong University of Victoria
Ping Zhang
Ping Zhang Beijing University of Posts and Telecommunications
Lin Cai
Lin Cai Illinois Institute of Technology
Amir K. Khandani
Amir K. Khandani University of Waterloo
Rose Qingyang Hu
Rose Qingyang Hu Virginia Tech

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