2026 Azzam Mourad: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	34	12047	11698	3	3	192	6094

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

12047

11698

192

6094

Research.com Recognitions

2026 - Research.com Computer Science in Lebanon Leader Award

Best Publications

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

Sawsan Abdulrahman;Hanine Tout;Hakima Ould-Slimane;Azzam Mourad

696
Citations
Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems

Omar Abdel Wahab;Azzam Mourad;Hadi Otrok;Tarik Taleb

455
Citations
Internet of Things intrusion Detection: Centralized, On-Device, or Federated Learning?

Sawsan Abdul Rahman;Hanine Tout;Chamseddine Talhi;Azzam Mourad

355
Citations
FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning

Sawsan Abdulrahman;Hanine Tout;Azzam Mourad;Chamseddine Talhi

278
Citations
VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks

Omar Abdel Wahab;Hadi Otrok;Azzam Mourad

208
Citations
A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions

Unknown

165
Citations
Driver stress level detection using HRV analysis

Nermine Munla;Mohamad Khalil;Ahmad Shahin;Azzam Mourad

157
Citations
A survey on trust and reputation models for Web services

Omar Abdel Wahab;Jamal Bentahar;Hadi Otrok;Azzam Mourad

149
Citations
AI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions

Ahmad Hammoud;Hani Sami;Azzam Mourad;Hadi Otrok

134
Citations
Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud

Omar Abdel Wahab;Jamal Bentahar;Hadi Otrok;Azzam Mourad

130
Citations
CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks

Omar Abdel Wahab;Azzam Mourad;Hadi Otrok;Hadi Otrok;Jamal Bentahar

127
Citations
Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game

Omar Abdel Wahab;Jamal Bentahar;Hadi Otrok;Azzam Mourad

124
Citations
A cooperative watchdog model based on Dempster-Shafer for detecting misbehaving vehicles

Omar Abdel Wahab;Hadi Otrok;Azzam Mourad

111
Citations
On Demand Fog Federations for Horizontal Federated Learning in IoV

Unknown

103
Citations
AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach

Hani Sami;Hadi Otrok;Jamal Bentahar;Azzam Mourad

103
Citations
Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection

Azzam Mourad;Hanine Tout;Omar Abdel Wahab;Hadi Otrok

96
Citations
Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement

Hani Sami;Azzam Mourad;Hadi Otrok;Jamal Bentahar

87
Citations
Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services

Hani Sami;Azzam Mourad;Wassim El-Hajj

83
Citations
Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment

Hani Sami;Azzam Mourad

82
Citations
FoGMatch: An Intelligent Multi-Criteria IoT-Fog Scheduling Approach Using Game Theory

Sarhad Arisdakessian;Omar Abdel Wahab;Azzam Mourad;Hadi Otrok

80
Citations

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Azzam Mourad

D-Index & Metrics

D-Index & Metrics

Computer Science

Research.com Recognitions

Best Publications

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems

Internet of Things intrusion Detection: Centralized, On-Device, or Federated Learning?

FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning

VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks

A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions

Driver stress level detection using HRV analysis

A survey on trust and reputation models for Web services

AI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions

Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud

CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks

Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game

A cooperative watchdog model based on Dempster-Shafer for detecting misbehaving vehicles

On Demand Fog Federations for Horizontal Federated Learning in IoV

AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach

Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment

FoGMatch: An Intelligent Multi-Criteria IoT-Fog Scheduling Approach Using Game Theory

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