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Electronics and Electrical Engineering
UK
2026
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Computer Science
UK
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
94
Citations
34020
World Ranking
253
National Ranking
6

Computer Science

D-Index
95
Citations
34314
World Ranking
468
National Ranking
30

Arumugam Nallanathan 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 Arumugam Nallanathan 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: 724 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Arumugam Nallanathan 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 Arumugam Nallanathan 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: 94 D-Index — 96th percentile

96% 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

  • 2026 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2017 - IEEE Fellow For contributions to cooperative communications and cognitive radio networks

Overview

Arumugam Nallanathan is affiliated with Queen Mary University of London in the United Kingdom. Their research primarily focuses on engineering and computer science, with a significant number of publications in electrical and electronic engineering, aerospace engineering, computer networks and communications, artificial intelligence, and biomedical engineering.

The main topics covered by their work include advanced wireless communication technologies, UAV applications and optimization, advanced MIMO systems optimization, wireless communication security techniques, energy harvesting in wireless networks, IoT and edge/fog computing, and IoT networks and protocols.

Arumugam Nallanathan has contributed to numerous papers, including notable publications such as:

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces (2020), IEEE Transactions on Wireless Communications
  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2020), IEEE Journal on Selected Areas in Communications
  • Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing (2020), IEEE Journal on Selected Areas in Communications
  • A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels (2020), IEEE Transactions on Signal Processing
  • Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems (2020), IEEE Transactions on Signal Processing

Frequent co-authors of Nallanathan include Yuanwei Liu, Yansha Deng, Xingwang Li, Wenqiang Yi, and Nan Zhao. Their publications often appear in venues such as arXiv (Cornell University), IEEE Transactions on Vehicular Technology, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and IEEE Internet of Things Journal.

Their book contributions include work published by Springer Vienna, such as the "Proceedings of the 5th International Conference on Signal Processing and Information Communications" in 2022.

Arumugam Nallanathan was recognized as an IEEE Fellow in 2017 for contributions to cooperative communications and cognitive radio networks.

Best Publications

  • Nonorthogonal Multiple Access for 5G and Beyond

    Yuanwei Liu;Zhijin Qin;Maged Elkashlan;Zhiguo Ding

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces

    Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu

  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

    Cunhua Pan;Hong Ren;Kezhi Wang;Maged Elkashlan

  • Wideband spectrum sensing for cognitive radio networks: a survey

    Hongjian Sun;A. Nallanathan;Cheng-Xiang Wang;Yunfei Chen

  • Optimal power allocation for fading channels in cognitive radio networks: Ergodic capacity and outage capacity

    Xin Kang;Ying-Chang Liang;A. Nallanathan;H.K. Garg

  • Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks

    Jingjing Cui;Yuanwei Liu;Arumugam Nallanathan

  • Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing

    Tong Bai;Cunhua Pan;Yansha Deng;Maged Elkashlan

  • On channel estimation and optimal training design for amplify and forward relay networks

    Feifei Gao;Tao Cui;A. Nallanathan

  • A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Exploiting Full/Half-Duplex User Relaying in NOMA Systems

    Xinwei Yue;Yuanwei Liu;Shaoli Kang;Arumugam Nallanathan

  • Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Residual Transceiver Hardware Impairments on Cooperative NOMA Networks

    Xingwang Li;Jingjing Li;Yuanwei Liu;Zhiguo Ding

  • Artificial-Noise-Aided Secure MIMO Wireless Communications via Intelligent Reflecting Surface

    Sheng Hong;Cunhua Pan;Hong Ren;Kezhi Wang

  • Distributed Space–Time Coding for Two-Way Wireless Relay Networks

    Tao Cui;Feifei Gao;T. Ho;A. Nallanathan

  • Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • 2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)

    Hongjian Sun;Arumugam Nallanathan;Jing Jiang;H. Vincent Poor

  • Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing

    Liang Wang;Kezhi Wang;Cunhua Pan;Wei Xu

  • Optimal Sensing Time and Power Allocation in Multiband Cognitive Radio Networks

    S Stotas;A Nallanathan

  • UAV Communications Based on Non-Orthogonal Multiple Access

    Yuanwei Liu;Zhijin Qin;Yunlong Cai;Yue Gao

  • 2010 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS

    Himal A. Suraweera;Hari Krishna Garg;Arumugam Nallanathan

  • Nonorthogonal multiple access for 5G and beyond

    Oğuz Kucur;Güneş Karabulut Kurt;Muhammad Zeeshan Shakir;Imran Shafique Ansari

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surface

    Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu

Frequent Co-Authors

Yansha Deng
Yansha Deng King's College London
Maged Elkashlan
Maged Elkashlan Queen Mary University of London
Yuanwei Liu
Yuanwei Liu University of Hong Kong
Feifei Gao
Feifei Gao Tsinghua University
Cunhua Pan
Cunhua Pan Southeast University
Hong Ren
Hong Ren Southeast University
Zhiguo Ding
Zhiguo Ding Nanyang Technological University
George K. Karagiannidis
George K. Karagiannidis Aristotle University of Thessaloniki
Haijun Zhang
Haijun Zhang University of Science and Technology Beijing
Hongjian Sun
Hongjian Sun Durham University

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