World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
13301
World Ranking
2151
National Ranking
105

Alagan Anpalagan 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 Alagan Anpalagan 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: 502 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Alagan Anpalagan 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 Alagan Anpalagan 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: 55 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Alagan Anpalagan is affiliated with Toronto Metropolitan University in Canada, focusing their research on engineering and computer science domains. Their scholarly work spans a broad range of topics primarily related to wireless communications, networking, and emerging technologies in these fields.

The primary fields of study for their research include:

  • Engineering
  • Computer Science

Within these fields, their subfields of focus are:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

The main research topics they explore are:

  • Advanced Wireless Communication Technologies
  • IoT and Edge/Fog Computing
  • Advanced MIMO Systems Optimization
  • UAV Applications and Optimization
  • Energy Harvesting in Wireless Networks
  • Software-Defined Networks and 5G
  • Cooperative Communication and Network Coding

Alagan Anpalagan has contributed publications to various venues, frequently publishing in:

  • IEEE Internet of Things Journal
  • IEEE Access
  • IEEE Transactions on Vehicular Technology
  • Wireless Personal Communications
  • IEEE Transactions on Wireless Communications

Notable recent papers authored or coauthored include:

  • "Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues," 2021, Array
  • "Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions," 2020, IEEE Access
  • "Opportunistic UAV Utilization in Wireless Networks: Motivations, Applications, and Challenges," 2020, IEEE Communications Magazine
  • "A comprehensive survey on resource allocation for CRAN in 5G and beyond networks," 2020, Journal of Network and Computer Applications
  • "Three-Dimensional Multi-UAV Placement and Resource Allocation for Energy-Efficient IoT Communication," 2021, IEEE Internet of Things Journal

Frequent collaborators in their research include:

  • Ahmed Shaharyar Khwaja
  • Isaac Woungang
  • Muhammad Naeem
  • Muhammad Jaseemuddin
  • Waleed Ejaz

Best Publications

  • Efficient Energy Management for the Internet of Things in Smart Cities

    Waleed Ejaz;Muhammad Naeem;Adnan Shahid;Alagan Anpalagan

  • Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

    Abhishek Gupta;Alagan Anpalagan;Ling Guan;Ahmed Shaharyar Khwaja

  • Radio Resource Allocation Algorithms for the Downlink of Multiuser OFDM Communication Systems

    S. Sadr;A. Anpalagan;K. Raahemifar

  • Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games

    Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan

  • Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution

    Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan

  • Optimization classification, algorithms and tools for renewable energy: A review

    M. Iqbal;M. Azam;M. Naeem;M. Naeem;A.S. Khwaja

  • A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids

    Aftab Ahmad Khan;Muhammad Naeem;Muhammad Naeem;Muhammad Iqbal;Saad Qaisar

  • Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies, Challenges and Solutions

    Yuhua Xu;Alagan Anpalagan;Qihui Wu;Liang Shen

  • Anti-Jamming Communications Using Spectrum Waterfall: A Deep Reinforcement Learning Approach

    Xin Liu;Yuhua Xu;Luliang Jia;Qihui Wu

  • Appliance Scheduling Optimization in Smart Home Networks

    F. A. Qayyum;M. Naeem;A. S. Khwaja;A. Anpalagan

  • Internet of Things (IoT) in 5G Wireless Communications

    Waleed Ejaz;Alagan Anpalagan;Muhammad Ali Imran;Minho Jo

  • Improved short-term load forecasting using bagged neural networks

    A.S. Khwaja;M. Naeem;A. Anpalagan;A. Venetsanopoulos

  • Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency

    Saba Al-Rubaye;Ekhlas Kadhum;Qiang Ni;Alagan Anpalagan

  • Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions

    Shree Krishna Sharma;Isaac Woungang;Alagan Anpalagan;Symeon Chatzinotas

  • Resource Allocation Techniques in Cooperative Cognitive Radio Networks

    Muhammad Naeem;Alagan Anpalagan;Muhammad Jaseemuddin;Daniel C. Lee

  • Wireless Sensor Network Optimization: Multi-Objective Paradigm.

    Muhammad Iqbal;Muhammad Naeem;Muhammad Naeem;Alagan Anpalagan;Ashfaq Ahmed

  • Network Challenges for Cyber Physical Systems with Tiny Wireless Devices: A Case Study on Reliable Pipeline Condition Monitoring

    Salman Ali;Saad Bin Qaisar;Husnain Saeed;Muhammad Farhan Khan

  • Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting

    A.S. Khwaja;A. Anpalagan;M. Naeem;B. Venkatesh

  • Boosted neural networks for improved short-term electric load forecasting

    A.S. Khwaja;X. Zhang;A. Anpalagan;B. Venkatesh

  • Stackelberg Game Approaches for Anti-Jamming Defence in Wireless Networks

    Luliang Jia;Yuhua Xu;Youming Sun;Shuo Feng

  • Advanced spectrum sharing in 5G cognitive heterogeneous networks

    Chungang Yang;Jiandong Li;Mohsen Guizani;Alagan Anpalagan

Frequent Co-Authors

Yuhua Xu
Yuhua Xu Nanjing University of Posts and Telecommunications
Waleed Ejaz
Waleed Ejaz Lakehead University
Qihui Wu
Qihui Wu Nanjing University of Aeronautics and Astronautics
Jiandong Li
Jiandong Li Xidian University
Lian Zhao
Lian Zhao Toronto Metropolitan University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Mohammad S. Obaidat
Mohammad S. Obaidat University of Jordan
Ekram Hossain
Ekram Hossain University of Manitoba
Qiang Ni
Qiang Ni Lancaster University
Bala Venkatesh
Bala Venkatesh Toronto Metropolitan University

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