World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
39
Citations
5595
World Ranking
4745
National Ranking
253

Bamidele Adebisi 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 Bamidele Adebisi 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: 157 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Bamidele Adebisi 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 Bamidele Adebisi 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Bamidele Adebisi is affiliated with Manchester Metropolitan University in the United Kingdom. Their research spans computer science and engineering, with significant contributions to electrical and electronic engineering, artificial intelligence, and computer networks and communications. Their work includes applications in aerospace engineering and signal processing.

Adebisi's research focuses on several main topics, including:

  • Network Security and Intrusion Detection
  • Internet Traffic Analysis and Secure E-voting
  • Wireless Signal Modulation Classification
  • Smart Grid Energy Management
  • Anomaly Detection Techniques and Applications
  • Advanced Malware Detection Techniques
  • Advanced Wireless Communication Technologies

Their recent papers cover a range of subjects in technology and security. Notable publications include:

  • "Small business awareness and adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic" (2020) in Journal of Small Business & Entrepreneurship
  • "Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices" (2021) in IEEE Internet of Things Journal
  • "Blockchain-enabled supply chain: analysis, challenges, and future directions" (2020) in Multimedia Systems
  • "Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks" (2020) in IEEE Internet of Things Journal
  • "A Novel Intrusion Detection Method Based on Lightweight Neural Network for Internet of Things" (2021) in IEEE Internet of Things Journal

Adebisi frequently publishes in various venues, primarily in journals specializing in internet-of-things and networking technologies. These venues include:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Cognitive Communications and Networking
  • The 5th International Conference on Future Networks & Distributed Systems
  • IEEE Wireless Communications Letters
  • Sensors

The scientist collaborates with multiple coauthors, with repeated partnerships noted in their publication history. Frequent coauthors include:

  • Guan Gui
  • Haris Gacanin
  • Hikmet Sari
  • Olamide Jogunola
  • Tomoaki Ohtsuki

Best Publications

  • Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach

    Kelvin Anoh;Sabita Maharjan;Augustine Ikpehai;Yan Zhang

  • Low-Power Wide Area Network Technologies for Internet-of-Things: A Comparative Review

    Augustine Ikpehai;Bamidele Adebisi;Khaled M. Rabie;Kelvin Anoh

  • Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT Edge Devices

    Segun I. Popoola;Ruth Ande;Bamidele Adebisi;Guan Gui

  • Blockchain-enabled supply chain: analysis, challenges, and future directions

    Sohail Jabbar;Huw Lloyd;Mohammad Hammoudeh;Bamidele Adebisi

  • Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks

    Segun I. Popoola;Bamidele Adebisi;Mohammad Hammoudeh;Guan Gui

  • A Novel Intrusion Detection Method Based on Lightweight Neural Network for Internet of Things

    Ruijie Zhao;Guan Gui;Zhi Xue;Jie Yin

  • Internet of Things: Evolution and technologies from a security perspective

    Ruth Ande;Bamidele Adebisi;Mohammad Hammoudeh;Jibran Saleem

  • State-of-the-art and prospects for peer-to-peer transaction-based energy system

    Olamide Jogunola;Augustine Ikpehai;Kelvin Anoh;Bamidele Adebisi

  • A Wireless Sensor Network Border Monitoring System: Deployment Issues and Routing Protocols

    Mohammad Hammoudeh;Fayez Al-Fayez;Huw Lloyd;Robert Newman

  • On the Optimization of Iterative Clipping and Filtering for PAPR Reduction in OFDM Systems

    Kelvin Anoh;Cagri Tanriover;Bamidele Adebisi

  • Dynamic clustering and management of mobile wireless sensor networks

    Abdelrahman Abuarqoub;Mohammad Hammoudeh;Bamidele Adebisi;Sohail Jabbar

  • A New Approach to Iterative Clipping and Filtering PAPR Reduction Scheme for OFDM Systems

    Kelvin Anoh;Cagri Tanriover;Bamidele Adebisi;Mohammad Hammoudeh

  • Half-Duplex and Full-Duplex AF and DF Relaying With Energy-Harvesting in Log-Normal Fading

    Khaled Maaiuf Rabie;Bamidele Adebisi;Mohamed-Slim surname

  • Towards green computing for Internet of things: Energy oriented path and message scheduling approach

    Laith Farhan;Rupak Kharel;Omprakash Kaiwartya;Mohammad Hammoudeh

  • Federated Learning for Automatic Modulation Classification under Class Imbalance and Varying Noise Condition

    Yu Wang;Guan Gui;Haris Gacanin;Bamidele Adebisi

  • SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks.

    Segun I. Popoola;Bamidele Adebisi;Ruth Ande;Mohammad Hammoudeh

  • An Efficient Intrusion Detection Method Based on Dynamic Autoencoder

    Ruijie Zhao;Jie Yin;Zhi Xue;Guan Gui

  • Comparative Analysis of P2P Architectures for Energy Trading and Sharing

    Olamide Jogunola;Augustine Ikpehai;Kelvin Anoh;Bamidele Adebisi

  • Lightweight Automatic Modulation Classification Based on Decentralized Learning

    Xue Fu;Guan Gui;Yu Wang;Tomoaki Ohtsuki

  • IP-centric high rate narrowband PLC for smart grid applications

    B. Adebisi;A. Treytl;A. Haidine;A. Portnoy

  • High-speed narrowband PLC in Smart Grid landscape — State-of-the-art

    Abdelfatteh Haidine;Bamidele Adebisi;Albert Treytl;Hans Pille

  • Distributed Learning for Automatic Modulation Classification in Edge Devices

    Yu Wang;Liang Guo;Yu Zhao;Jie Yang

  • CV-3DCNN: Complex-Valued Deep Learning for CSI Prediction in FDD Massive MIMO Systems

    Yibin Zhang;Jie Wang;Jinlong Sun;Bamidele Adebisi

  • Downlink CSI Feedback Algorithm with Deep Transfer Learning for FDD Massive MIMO Systems

    Jun Zeng;Jinlong Sun;Guan Gui;Bamidele Adebisi

  • Compressive Sampled CSI Feedback Method Based on Deep Learning for FDD Massive MIMO Systems

    Jie Wang;Guan Gui;Tomoaki Ohtsuki;Bamidele Adebisi

  • A Comparison Between Orthogonal and Non-Orthogonal Multiple Access in Cooperative Relaying Power Line Communication Systems

    Khaled M. Rabie;Bamidele Adebisi;Ebtihal H. G. Yousif;Haris Gacanin

  • Half-Duplex and Full-Duplex AF and DF Relaying with Energy-Harvesting in Log-Normal Fading

    Khaled M. Rabie;Bamidele Adebisi;Mohamed-Slim Alouini

Frequent Co-Authors

Khaled M. Rabie
Khaled M. Rabie King Fahd University of Petroleum and Minerals
Haris Gacanin
Haris Gacanin RWTH Aachen University
Mohammad Hammoudeh
Mohammad Hammoudeh King Fahd University of Petroleum and Minerals
Guan Gui
Guan Gui Nanjing University of Posts and Telecommunications
Tomoaki Ohtsuki
Tomoaki Ohtsuki Keio University
Hikmet Sari
Hikmet Sari Nanjing University of Posts and Telecommunications
Fumiyuki Adachi
Fumiyuki Adachi Tohoku University
Sujan Rajbhandari
Sujan Rajbhandari University of Strathclyde
Andrea M. Tonello
Andrea M. Tonello University of Klagenfurt
Mohamed Abdallah
Mohamed Abdallah Hamad bin Khalifa University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Electronics and Electrical Engineering opens diverse career paths that often benefit from complementary skills. For example, pursuing a project manager bachelor degree online can enhance leadership and organizational skills, essential for managing complex engineering projects.

Many students and working professionals prefer flexible options like accelerated online degrees, which allow them to complete programs faster while balancing their careers. This is especially helpful for engineers seeking to upgrade their qualifications without pausing their professional growth.

For those interested in education or training roles within the technology sector, earning a instructional design masters online provides expertise in creating effective learning experiences, a valuable asset for corporate training or academic settings.

Competency-based learning models are also gaining traction. A competency based masters degree allows learners to advance by demonstrating specific skills and knowledge, offering a personalized and practical approach to mastering both technical concepts and professional abilities.

Best Scientists Citing Bamidele Adebisi

Trending Scientists

Recently Published Articles