World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
36
Citations
4725
World Ranking
5395
National Ranking
10

Mohamed Abdallah 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 Mohamed Abdallah 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: 446 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: 250 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Mohamed Abdallah 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 Mohamed Abdallah sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 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: 36 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Mohamed Abdallah is affiliated with Hamad bin Khalifa University in Qatar. Their research spans the fields of Computer Science and Engineering, with a focus on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Information Systems, and Control and Systems Engineering.

Their main research topics include:

  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Advanced MIMO Systems Optimization
  • Smart Grid Security and Resilience
  • Advanced Wireless Communication Technologies
  • Adversarial Robustness in Machine Learning

Recent publication venues for Mohamed Abdallah's work include arXiv (Cornell University), IEEE Open Journal of the Communications Society, the 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), IEEE Internet of Things Journal, and IEEE Transactions on Vehicular Technology.

Significant recent papers include:

  • Privacy-Preserving Blockchain-Based Energy Trading Schemes for Electric Vehicles, 2021, IEEE Transactions on Vehicular Technology
  • Green-PoW: An energy-efficient blockchain Proof-of-Work consensus algorithm, 2022, Computer Networks
  • Blockchain Based Trading Platform for Electric Vehicle Charging in Smart Cities, 2020, IEEE Open Journal of Intelligent Transportation Systems
  • Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks, 2024, IEEE Open Journal of Vehicular Technology
  • Security and Privacy Issues in Autonomous Vehicles: A Layer-Based Survey, 2022, IEEE Open Journal of the Communications Society

Frequent coauthors collaborating with Mohamed Abdallah include Abdullatif Albaseer, Ala Al-Fuqaha, Aiman Erbad, Noureddine Lasla, and Bekir Sait Çiftler.

Best Publications

  • A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things

    Abdulmalik Alwarafy;Khaled A. Al-Thelaya;Mohamed Abdallah;Jens Schneider

  • Energy Efficient Resource Allocation for Mixed RF/VLC Heterogeneous Wireless Networks

    Mohamed Kashef;Muhammad Ismail;Mohamed Abdallah;Khalid A. Qaraqe

  • Simple statistical channel model for weak temperature-induced turbulence in underwater wireless optical communication systems.

    Hassan Makine Oubei;Emna Zedini;Rami T ElAfandy;Abla Kammoun

  • A survey on energy trading in smart grid

    I. Safak Bayram;Muhammad Z. Shakir;Mohamed Abdallah;Khalid Qaraqe

  • Outage Performance of Cooperative Underlay CR-NOMA With Imperfect CSI

    Sultangali Arzykulov;Theodoros A. Tsiftsis;Galymzhan Nauryzbayev;Mohamed Abdallah

  • Privacy-Preserving Blockchain-Based Energy Trading Schemes for Electric Vehicles

    Mohamed Baza;Ahmed Sherif;Mohamed M. E. A. Mahmoud;Spiridon Bakiras

  • Blockchain-based Firmware Update Scheme Tailored for Autonomous Vehicles

    Mohamed Baza;Mahmoud Nabil;Noureddine Lasla;Kemal Fidan

  • Green-PoW: An Energy-Efficient Blockchain Proof-of-Work Consensus Algorithm

    Noureddine Lasla;Lina Alsahan;Mohamed Abdallah;Mohamed F. Younis

  • Effect of eddy diffusivity ratio on underwater optical scintillation index.

    Mohammed Elamassie;Murat Uysal;Yahya Baykal;Mohamed Abdallah

  • Detecting Sybil Attacks using Proofs of Work and Location in VANETs

    Mohamed Baza;Mahmoud Nabil;Mohamed Mohamed Elsalih Abdelsalam Mahmoud;Niclas Bewermeier

  • Capacity Planning Frameworks for Electric Vehicle Charging Stations With Multiclass Customers

    Islam Safak Bayram;Ali Tajer;Mohamed Abdallah;Khalid Qaraqe

  • A Stochastic Sizing Approach for Sharing-Based Energy Storage Applications

    Islam Safak Bayram;Mohamed Abdallah;Ali Tajer;Khalid A. Qaraqe

  • Transmit Power Optimization for a Hybrid PLC/VLC/RF Communication System

    Mohamed Kashef;Mohamed Abdallah;Naofal Al-Dhahir

  • Blockchain Based Trading Platform for Electric Vehicle Charging in Smart Cities

    Noureddine Lasla;Maryam Al-Ammari;Mohamed Abdallah;Mohamed Younis

  • Federated Learning for RSS Fingerprint-based Localization: A Privacy-Preserving Crowdsourcing Method

    Bekir Sait Ciftler;Abdullatif Albaseer;Noureddine Lasla;Mohamed Abdallah

  • Multivariate analysis for probabilistic WLAN location determination systems

    M. Youssef;M. Abdallah;Ashok Agrawala

  • On the Outage of Underlay CR-NOMA Networks With Detect-and-Forward Relaying

    Sultangali Arzykulov;Galymzhan Nauryzbayev;Theodoros A. Tsiftsis;Behrouz Maham

  • Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA.

    Muhammad Shehab;Bekir Sait Ciftler;Tamer Khattab;Mohamed M. Abdallah

  • The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions

    Unknown

  • Parallel receiver channel sounder for spatial and MIMO characterisation of the mobile radio channel

    S. Salous;P. Filippidis;R. Lewenz;I. Hawkins

  • Performance Evaluation of LOS and NLOS Vertical Inhomogeneous Links in Underwater Visible Light Communications

    Noha Anous;Mohamed Abdallah;Murat Uysal;Khalid Qaraqe

  • Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning

    Abdullatif Mohammed Albaseer;Mohamed Abdallah;Ala Al-Fuqaha;Aiman Erbad

  • Consortium Blockchain-Based Decentralized Stock Exchange Platform

    Hamed Al-Shaibani;Noureddine Lasla;Mohamed M. Abdallah

  • Federated Mimic Learning for Privacy Preserving Intrusion Detection

    Noor Ali Al-Athba Al-Marri;Bekir S. Ciftler;Mohamed M. Abdallah

  • Single photon avalanche diode (SPAD) VLC system and application to downhole monitoring

    Yichen Li;Stefan Videv;Mohamed Abdallah;Khalid Qaraqe

  • Indoor channel modelling and characterization for visible light communications

    Elham Sarbazi;Murat Uysal;Mohamed Abdallah;Khalid Qaraqe

  • Performance Analysis of Single-Photon Avalanche Diode Underwater VLC System Using ARQ

    Taniya Shafique;Osama Amin;Mohamed Abdallah;Imran Shafique Ansari

  • Detecting Sybil Attacks using Proofs of Work and Location in VANETs

    Mohamed Baza;Mahmoud Nabil;Niclas Bewermeier;Kemal Fidan

Frequent Co-Authors

Khalid A. Qaraqe
Khalid A. Qaraqe Hamad bin Khalifa University
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology
Erchin Serpedin
Erchin Serpedin Texas A&M University
Murat Uysal
Murat Uysal New York University Abu Dhabi
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Theodoros A. Tsiftsis
Theodoros A. Tsiftsis University Of Thessaly
Muhammad Ismail
Muhammad Ismail University of Engineering and Technology Mardan
Khaled M. Rabie
Khaled M. Rabie King Fahd University of Petroleum and Minerals
Mazen O. Hasna
Mazen O. Hasna Qatar University
Harald Haas
Harald Haas University of Cambridge

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