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Verified ScholarVerified at Council for Scientific and Industrial ResearchASIDASID-4876-7228-9267 orcid.org/0000-0002-6413-3924
Adnan Mohammed I Abu-Mahfouz
Council for Scientific and Industrial Research
Faculty researcher at Council for Scientific and Industrial Research (ZA), specializing in Health & Medical Sciences. [Discipline: Health & Medical Sciences] [Scholar Type: Journal Research Scientist] [Career Tier: Distinguished Scholar] [Region: Southern Africa]
#Energy Efficient Wireless Sensor Networks#IoT Networks and Protocols#IoT and Edge/Fog Computing#Software-Defined Networks and 5G
Scholarly Profiles: Google Scholar
Citation Indices
Standard Scientometrics| All | Since 2021 | |
|---|---|---|
| Citations | 11,582 | 5,559 |
| h-index | 52 | 39 |
| i10-index | 171 | 120 |
Annual Citation Growth
Verified Citations / Year0
2020556
2021+40%778
2022+29%1.0k
2023+33%1.3k
2024-8%1.2k
2025-45%667
2026Scholarship Distribution & Proportions308 Articles • 0 Books & Monographs • 0 Applied Assignments
Continental Provenance:25% African Regional Citations (2,896) • 75% Global Research Impact (8,686)
308 Indexed WorksAuthentic Data
Co-Authors & Academic Collaborators
No verified co-authors registered on AfriJournal Index yet.
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Articles & Books (308)
A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges
Published in IEEE Access•2017
DOI: 10.1109/access.2017.2779844 Verified Peer-Reviewed
From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges
Published in IEEE Transactions on Industrial Informatics•2020
DOI: 10.1109/tii.2020.3003910 Verified Peer-Reviewed
A Survey on Software-Defined Wireless Sensor Networks: Challenges and Design Requirements
Published in IEEE Access•2017
DOI: 10.1109/access.2017.2666200 Verified Peer-Reviewed
The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies
Published in Critical Reviews in Food Science and Nutrition•2022
DOI: 10.1080/10408398.2022.2034735 Verified Peer-Reviewed
A Review of Machine Learning Approaches to Power System Security and Stability
Published in IEEE Access•2020
DOI: 10.1109/access.2020.3003568 Verified Peer-Reviewed
Showing 1 – 5 of 308 publications
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