Azzam Mourad

6.3k total citations · 3 hit papers
158 papers, 4.4k citations indexed

About

Azzam Mourad is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Azzam Mourad has authored 158 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Networks and Communications, 75 papers in Artificial Intelligence and 61 papers in Information Systems. Recurrent topics in Azzam Mourad's work include Privacy-Preserving Technologies in Data (38 papers), IoT and Edge/Fog Computing (36 papers) and Vehicular Ad Hoc Networks (VANETs) (18 papers). Azzam Mourad is often cited by papers focused on Privacy-Preserving Technologies in Data (38 papers), IoT and Edge/Fog Computing (36 papers) and Vehicular Ad Hoc Networks (VANETs) (18 papers). Azzam Mourad collaborates with scholars based in Lebanon, United Arab Emirates and Canada. Azzam Mourad's co-authors include Hadi Otrok, Omar Abdel Wahab, Chamseddine Talhi, Hanine Tout, Jamal Bentahar, Hani Sami, Sawsan AbdulRahman, Mohsen Guizani, Hakima Ould‐Slimane and Tarik Taleb and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.

In The Last Decade

Azzam Mourad

146 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2020 504 citations Sawsan AbdulRahman, Hakima Ould‐Slimane et al. IEEE Internet of Things Journal profile →
Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems

2021 339 citations Omar Abdel Wahab, Azzam Mourad et al. IEEE Communications Surveys & Tutorials profile →
Internet of Things Intrusion Detection: Centralized, On-Device, or Federated Learning?

2020 269 citations Chamseddine Talhi, Azzam Mourad et al. profile →

Peers

Azzam Mourad

CNC

EEE

SPS

Hadi Otrok United Arab Emirates

Jianbing Ni Canada

Jia Hu United Kingdom

Xinwen Fu United States

Dijiang Huang United States

Longxiang Gao Australia

Chi-Yin Chow Hong Kong

Haojin Zhu China

Jamal Bentahar Canada

Wei Yang Bryan Lim Singapore

Hadi Otrok United Arab Emirates

Azzam Mourad

1.5k ×0.7

2.3k ×1.1

CNC

1.2k ×1.0

1.4k ×1.4

EEE

325 ×0.8

SPS

Citations per year, relative to Azzam Mourad Azzam Mourad (= 1×) peers Hadi Otrok

Countries citing papers authored by Azzam Mourad

Since Specialization

Citations

This map shows the geographic impact of Azzam Mourad's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Azzam Mourad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azzam Mourad more than expected).

Fields of papers citing papers by Azzam Mourad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Azzam Mourad. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Azzam Mourad. The network helps show where Azzam Mourad may publish in the future.

Co-authorship network of co-authors of Azzam Mourad

This figure shows the co-authorship network connecting the top 25 collaborators of Azzam Mourad. A scholar is included among the top collaborators of Azzam Mourad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Azzam Mourad. Azzam Mourad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Elmekki, Hanae, Hani Sami, Ehsan Zakeri, et al.. (2025). CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning. Computers in Biology and Medicine. 190. 110003–110003.

Arisdakessian, Sarhad, et al.. (2025). A Two-Level Dirichlet Framework for Heterogeneous Federated Network. IEEE Transactions on Network Science and Engineering. 13. 1599–1615.

Sami, Hani, Rabeb Mizouni, Jamal Bentahar, et al.. (2025). Reward shaping in DRL: A novel framework for adaptive resource management in dynamic environments. Information Sciences. 715. 122238–122238. 2 indexed citations

Kadadha, Maha, et al.. (2025). Predictive safe delivery with machine learning and digital twins collaboration for decentralized crowdsourced systems. Journal of Network and Computer Applications. 240. 104196–104196.

Kadadha, Maha, et al.. (2024). Digital twins and dynamic NFTs for blockchain-based crowdsourced last-mile delivery. Information Processing & Management. 61(4). 103756–103756. 4 indexed citations

Mourad, Azzam, et al.. (2024). Trust driven On-Demand scheme for client deployment in Federated Learning. Information Processing & Management. 62(2). 103991–103991. 3 indexed citations

AbdulRahman, Sawsan, Ouns Bouachir, Safa Otoum, & Azzam Mourad. (2024). CRAS-FL: Clustered resource-aware scheme for federated learning in vehicular networks. Vehicular Communications. 47. 100769–100769. 3 indexed citations

Araujo-Filho, Paulo Freitas de, et al.. (2024). Projected Natural Gradient Method: Unveiling Low-Power Perturbation Vulnerabilities in Deep-Learning-Based Automatic Modulation Classification. IEEE Internet of Things Journal. 11(22). 37032–37044. 1 indexed citations

Sami, Hani, Ahmad Hammoud, Sarhad Arisdakessian, et al.. (2024). The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Communications Surveys & Tutorials. 26(4). 2914–2960. 22 indexed citations

10.

Talhi, Chamseddine, et al.. (2024). Optimizing CP-ABE Decryption in Urban VANETs: A Hybrid Reinforcement Learning and Differential Evolution Approach. IEEE Open Journal of the Communications Society. 5. 6535–6545. 1 indexed citations

11.

El‐Hajj, Wassim, et al.. (2023). Reinforcement learning based scheme for on-demand vehicular fog formation. Vehicular Communications. 40. 100571–100571. 4 indexed citations

12.

Sami, Hani, et al.. (2023). Opportunistic UAV Deployment for Intelligent On-Demand IoV Service Management. IEEE Transactions on Network and Service Management. 20(3). 3428–3442. 19 indexed citations

13.

Arisdakessian, Sarhad, Omar Abdel Wahab, Hadi Otrok, et al.. (2023). FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices. IEEE Internet of Things Journal. 10(23). 20884–20898. 25 indexed citations

14.

Sami, Hani, Hadi Otrok, Jamal Bentahar, Azzam Mourad, & Ernesto Damiani. (2023). Reward shaping using convolutional neural network. Information Sciences. 648. 119481–119481. 2 indexed citations

15.

Kadadha, Maha, Rabeb Mizouni, Shakti Singh, Hadi Otrok, & Azzam Mourad. (2023). Blockchain-based Reputation Management Framework for Crowdsourced Last-mile Delivery. 3. 1244–1249. 1 indexed citations

16.

Abbas, Nadine, Sanaa Sharafeddine, Azzam Mourad, Chadi Abou‐Rjeily, & Wissam Fawaz. (2022). Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC. Computer Networks. 209. 108900–108900. 21 indexed citations

17.

Abbas, Nadine, Wissam Fawaz, Sanaa Sharafeddine, Azzam Mourad, & Chadi Abou‐Rjeily. (2022). SVM-Based Task Admission Control and Computation Offloading Using Lyapunov Optimization in Heterogeneous MEC Network. IEEE Transactions on Network and Service Management. 19(3). 3121–3135. 25 indexed citations

18.

Hammoud, Ahmad, Hadi Otrok, Azzam Mourad, Omar Abdel Wahab, & Jamal Bentahar. (2018). On the Detection of Passive Malicious Providers in Cloud Federations. IEEE Communications Letters. 23(1). 64–67. 14 indexed citations

19.

Mourad, Azzam, et al.. (2011). Toward an abstract language on top of XACML for web services security. International Conference for Internet Technology and Secured Transactions. 254–259. 4 indexed citations

20.

Mourad, Azzam, et al.. (2008). Wireless Applications: Middleware Security. 1969–1977. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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