World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
3156
World Ranking
6669
National Ranking
5

Muhammad Ismail 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 Muhammad Ismail 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: 128 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Muhammad Ismail 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 Muhammad Ismail 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Muhammad Ismail is affiliated with the University of Engineering and Technology Mardan in Pakistan. Their research primarily intersects the domains of engineering, neuroscience, and materials science, with a strong emphasis on electrical and electronic engineering and cellular and molecular neuroscience.

The scientist's publications cover diverse topics, notably advanced memory and neural computing, neuroscience and neural engineering, ferroelectric and negative capacitance devices, photoreceptor and optogenetics research, transition metal oxide nanomaterials, neural dynamics and brain function, and Heusler alloys focusing on electronic and magnetic properties.

Some of Muhammad Ismail's recent research papers include:

  • Demonstration of synaptic and resistive switching characteristics in W/TiO2/HfO2/TaN memristor crossbar array for bioinspired neuromorphic computing (2021, Journal of Material Science and Technology)
  • Forming-free Pt/Al2O3/HfO2/HfAlOx/TiN memristor with controllable multilevel resistive switching and neuromorphic characteristics for artificial synapse (2021, Journal of Alloys and Compounds)
  • Controllable analog resistive switching and synaptic characteristics in ZrO2/ZTO bilayer memristive device for neuromorphic systems (2020, Applied Surface Science)

The scientist frequently publishes in several journals, including:

  • Journal of Alloys and Compounds
  • Journal of Material Science and Technology
  • Applied Surface Science
  • Nano Energy
  • SSRN Electronic Journal

Collaborations have been a consistent part of Muhammad Ismail's research career, with frequent co-authors such as Sungjun Kim, Chandreswar Mahata, Maria Rasheed, Zeshan Zada, and Abdul Ahad Khan.

The main fields of study for Muhammad Ismail's work encompass:

  • Engineering
  • Neuroscience
  • Materials Science

Within these fields, the subfields of focus include:

  • Electrical and Electronic Engineering
  • Cellular and Molecular Neuroscience
  • Materials Chemistry
  • Electronic, Optical and Magnetic Materials
  • Polymers and Plastics

Best Publications

  • Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation

    Muhammad Ismail;Mostafa F. Shaaban;Mahesh Naidu;Erchin Serpedin

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

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

  • Network cooperation for energy saving in green radio communications

    M. Ismail;Weihua Zhuang

  • A Distributed Multi-Service Resource Allocation Algorithm in Heterogeneous Wireless Access Medium

    M. Ismail;Weihua Zhuang

  • Cooperation in wireless communication networks

    Weihua Zhuang;Muhammad Ismail

  • A Survey on Green Mobile Networking: From The Perspectives of Network Operators and Mobile Users

    Muhammad Ismail;Weihua Zhuang;Erchin Serpedin;Khalid Qaraqe

  • Real-Time PEV Charging/Discharging Coordination in Smart Distribution Systems

    Mostafa F. Shaaban;Muhammad Ismail;Ehab F. El-Saadany;Weihua Zhuang

  • Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids

    Mostafa F. Shaaban;Sayed Mohamed;Muhammad Ismail;Khalid A. Qaraqe

  • Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids.

    Osman Boyaci;Amarachi Umunnakwe;Abhijeet Sahu;Mohammad Rasoul Narimani

  • Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

    Osman Boyaci;Mohammad Rasoul Narimani;Katherine Davis;Muhammad Ismail

  • An Efficient Planning Algorithm for Hybrid Remote Microgrids

    Sayed Mohamed;Mostafa F. Shaaban;Muhammad Ismail;Erchin Serpedin

  • PPETD: Privacy-Preserving Electricity Theft Detection Scheme With Load Monitoring and Billing for AMI Networks

    Mahmoud Nabil;Muhammad Ismail;Mohamed M. E. A. Mahmoud;Waleed Alasmary

  • Blockchain-Based Charging Coordination Mechanism for Smart Grid Energy Storage Units

    Mohamed Baza;Mahmoud Nabil;Muhammad Ismail;Mohamed Mahmoud

  • Robust Electricity Theft Detection Against Data Poisoning Attacks in Smart Grids

    Abdulrahman Takiddin;Muhammad Ismail;Usman Zafar;Erchin Serpedin

  • Spatio-Temporal Coordinated V2V Energy Swapping Strategy for Mobile PEVs

    Miao Wang;Muhammad Ismail;Ran Zhang;Xuemin Shen

  • Cooperative Decentralized Resource Allocation in Heterogeneous Wireless Access Medium

    M. Ismail;A. Abdrabou;Weihua Zhuang

  • Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

    Osman Boyaci;Mohammad Rasoul Narimani;Katherine R. Davis;Muhammad Ismail

  • Detecting Electricity Theft Cyber-Attacks in AMI Networks Using Deep Vector Embeddings

    Abdulrahman Takiddin;Muhammad Ismail;Mahmoud Nabil;Mohamed M. E. A. Mahmoud

  • Energy and Content Aware Multi-Homing Video Transmission in Heterogeneous Networks

    M. Ismail;Weihua Zhuang;S. Elhedhli

  • Q-Learning Based Two-Timescale Power Allocation for Multi-Homing Hybrid RF/VLC Networks

    Justin Kong;Zi-Yang Wu;Muhammad Ismail;Erchin Serpedin

  • Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters

    Mahmoud Nabil;Muhammad Ismail;Mohamed Mahmoud;Mostafa Shahin

  • Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation

    Mostafa Shaaban;Usman Tariq;Muhammad Ismail;Nouf A. Almadani

  • Efficient detection of electricity theft cyber attacks in AMI networks

    Muhammad Ismail;Mostafa Shahin;Mostafa F. Shaaban;Erchin Serpedin

  • Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium

    Muhammad Ismail;Amila Tharaperiya Gamage;Weihua Zhuang;Xuemin Shen

  • Green radio communications in a heterogeneous wireless medium

    Muhammad Ismail;Weihua Zhuang

  • Decentralized Radio Resource Allocation for Single-Network and Multi-Homing Services in Cooperative Heterogeneous Wireless Access Medium

    M. Ismail;Weihua Zhuang

Frequent Co-Authors

Erchin Serpedin
Erchin Serpedin Texas A&M University
Khalid A. Qaraqe
Khalid A. Qaraqe Hamad bin Khalifa University
Weihua Zhuang
Weihua Zhuang University of Waterloo
Mohamed E. Mahmoud
Mohamed E. Mahmoud University of Alabama
Mohamed Abdallah
Mohamed Abdallah Hamad bin Khalifa University
Thomas J. Overbye
Thomas J. Overbye Texas A&M University
Qammer H. Abbasi
Qammer H. Abbasi University of Glasgow
Xuemin Shen
Xuemin Shen University of Waterloo
Xianbin Wang
Xianbin Wang University of Western Ontario
Ehab F. El-Saadany
Ehab F. El-Saadany Khalifa University

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