World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
9907
World Ranking
4632
National Ranking
25

Moayad Aloqaily 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 Moayad Aloqaily 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Moayad Aloqaily 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 Moayad Aloqaily 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: 54 D-Index — 69th percentile

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

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

Overview

Moayad Aloqaily is affiliated with Mohamed bin Zayed University of Artificial Intelligence in the United Arab Emirates. The primary areas of research include computer science and engineering, with a notable concentration in subfields such as computer networks and communications, electrical and electronic engineering, information systems, artificial intelligence, and computer vision and pattern recognition.

Their research work encompasses various main topics, including:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Software-Defined Networks and 5G
  • Caching and Content Delivery
  • Smart Grid Energy Management
  • Advanced Wireless Communication Technologies

Moayad Aloqaily has contributed to numerous publications in prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Network
  • IEEE Internet of Things Journal
  • Future Generation Computer Systems
  • IEEE Wireless Communications

Collaborations have been a significant aspect of this scientist's work. Frequent co-authors include:

  • Mohsen Guizani
  • Ismaeel Al Ridhawi
  • Ouns Bouachir
  • Yaser Jararweh
  • Öznur Özkasap

Selected recent papers by Moayad Aloqaily include:

  • "Federated learning review: Fundamentals, enabling technologies, and future applications", 2022, Information Processing & Management
  • "Digital Twin for Intelligent Context-Aware IoT Healthcare Systems", 2021, IEEE Internet of Things Journal
  • "Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT", 2021, IEEE Transactions on Industrial Informatics
  • "Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV", 2020, IEEE Transactions on Vehicular Technology
  • "Federated Learning in Vehicular Networks: Opportunities and Solutions", 2021, IEEE Network

Best Publications

  • Federated learning review: Fundamentals, enabling technologies, and future applications

    Unknown

  • An intrusion detection system for connected vehicles in smart cities

    Moayad Aloqaily;Safa Otoum;Ismaeel Al Ridhawi;Yaser Jararweh

  • Digital Twin for Intelligent Context-Aware IoT Healthcare Systems

    Haya Elayan;Moayad Aloqaily;Mohsen Guizani

  • Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT

    Keping Yu;Liang Tan;Moayad Aloqaily;Hekun Yang

  • Federated Learning in Vehicular Networks: Opportunities and Solutions

    Jason Posner;Lewis Tseng;Moayad Aloqaily;Yaser Jararweh

  • Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV

    Chaosheng Feng;Keping Yu;Moayad Aloqaily;Mamoun Alazab

  • An Authentic-Based Privacy Preservation Protocol for Smart e-Healthcare Systems in IoT

    B. D. Deebak;Fadi Al-Turjman;Moayad Aloqaily;Omar Alfandi

  • An Edge Computing Based Smart Healthcare Framework for Resource Management.

    Soraia Oueida;Yehia T. Kotb;Moayad Aloqaily;Yaser Jararweh

  • Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse

    Unknown

  • A Blockchain Framework for Securing Connected and Autonomous Vehicles.

    Geetanjali Rathee;Ashutosh Sharma;Razi Iqbal;Moayad Aloqaily

  • Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments

    Jerry Chun-Wei Lin;Gautam Srivastava;Yuyu Zhang;Youcef Djenouri

  • Secure Federated Learning with Fully Homomorphic Encryption for IoT Communications

    Unknown

  • Sustainability of Healthcare Data Analysis IoT-based Systems using Deep Federated Learning

    Haya Elayan;Moayad Aloqaily;Mohsen Guizani

  • AI Techniques for COVID-19

    Adedoyin Ahmed Hussain;Ouns Bouachir;Fadi Al-Turjman;Moayad Aloqaily

  • Privacy Management in Social Internet of Vehicles: Review, Challenges and Blockchain Based Solutions

    Talal Ashraf Butt;Razi Iqbal;Khaled Salah;Moayad Aloqaily

  • Blockchain for Managing Heterogeneous Internet of Things: A Perspective Architecture

    Lewis Tseng;Liwen Wong;Safa Otoum;Moayad Aloqaily

  • A blockchain-empowered crowdsourcing system for 5G-enabled smart cities

    Liang Tan;Liang Tan;Huan Xiao;Keping Yu;Moayad Aloqaily

  • An incentive-aware blockchain-based solution for internet of fake media things

    Qian Chen;Gautam Srivastava;Gautam Srivastava;Reza M. Parizi;Moayad Aloqaily

  • Improving Fog Computing Performance via Fog-2-Fog Collaboration

    Mohammed Al-khafajiy;Thar Baker;Hilal Al-Libawy;Zakaria Maamar

  • PriNergy: a priority-based energy-efficient routing method for IoT systems

    Fatemeh Safara;Alireza Souri;Thar Baker;Ismaeel Al Ridhawi

  • Providing secure and reliable communication for next generation networks in smart cities

    Ismaeel Al Ridhawi;Safa Otoum;Moayad Aloqaily;Yaser Jararweh

  • A Profitable and Energy-Efficient Cooperative Fog Solution for IoT Services

    Ismaeel Al Ridhawi;Yehia Kotb;Moayad Aloqaily;Yaser Jararweh

  • Blockchain-based database in an IoT environment: challenges, opportunities, and analysis

    Lewis Tseng;Xinyu Yao;Safa Otoum;Moayad Aloqaily

  • Intelligent jamming-aware routing in multi-hop IoT-based opportunistic cognitive radio networks

    Haythem Bany Salameh;Haythem Bany Salameh;Safa Otoum;Moayad Aloqaily;Rawan Derbas

Frequent Co-Authors

Yaser Jararweh
Yaser Jararweh Jordan University of Science and Technology
Azzedine Boukerche
Azzedine Boukerche University of Ottawa
Hussein T. Mouftah
Hussein T. Mouftah University of Ottawa
Burak Kantarci
Burak Kantarci University of Ottawa
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Thar Baker
Thar Baker University of Khorfakkan
Martin Reisslein
Martin Reisslein Arizona State University
Gautam Srivastava
Gautam Srivastava Brandon University
Fadi Al-Turjman
Fadi Al-Turjman Near East University
Sohail Jabbar
Sohail Jabbar Manchester Metropolitan University

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