Abdallah Makhoul

3.0k total citations
99 papers, 1.5k citations indexed

About

Abdallah Makhoul is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abdallah Makhoul has authored 99 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Networks and Communications, 23 papers in Electrical and Electronic Engineering and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abdallah Makhoul's work include Energy Efficient Wireless Sensor Networks (46 papers), Modular Robots and Swarm Intelligence (12 papers) and IoT and Edge/Fog Computing (10 papers). Abdallah Makhoul is often cited by papers focused on Energy Efficient Wireless Sensor Networks (46 papers), Modular Robots and Swarm Intelligence (12 papers) and IoT and Edge/Fog Computing (10 papers). Abdallah Makhoul collaborates with scholars based in France, Lebanon and United States. Abdallah Makhoul's co-authors include Hassan Harb, Raphaël Couturier, Jacques Demerjian, Joseph Azar, Mahmoud Barhamgi, David Laiymani, Rony Darazi, Ali Jaber, Jacques M. Bahi and Christophe Guyeux and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Computer Vision.

In The Last Decade

Abdallah Makhoul

90 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abdallah Makhoul France 21 969 467 275 213 211 99 1.5k
José López Vicario Spain 23 828 0.9× 962 2.1× 203 0.7× 116 0.5× 88 0.4× 105 1.7k
Antoni Morell Spain 19 493 0.5× 563 1.2× 174 0.6× 112 0.5× 84 0.4× 84 1.2k
Geoffrey Mainland United States 14 1.1k 1.2× 397 0.9× 266 1.0× 220 1.0× 300 1.4× 30 1.6k
Ismail Ahmedy Malaysia 26 1.1k 1.2× 908 1.9× 284 1.0× 64 0.3× 286 1.4× 87 2.1k
Luiz Affonso Guedes Brazil 22 817 0.8× 431 0.9× 318 1.2× 72 0.3× 177 0.8× 102 1.4k
Prashant Pillai United Kingdom 16 1.4k 1.4× 1.2k 2.6× 140 0.5× 153 0.7× 131 0.6× 82 2.2k
Ala’ Khalifeh Jordan 23 1.0k 1.0× 834 1.8× 108 0.4× 96 0.5× 140 0.7× 132 1.5k
Liqian Luo United States 15 1.5k 1.6× 774 1.7× 169 0.6× 87 0.4× 245 1.2× 21 1.7k
Nadjib Badache Algeria 23 1.5k 1.5× 755 1.6× 103 0.4× 109 0.5× 143 0.7× 151 1.8k
Luca Mottola Italy 28 2.4k 2.5× 1.4k 3.1× 268 1.0× 214 1.0× 440 2.1× 132 3.2k

Countries citing papers authored by Abdallah Makhoul

Since Specialization
Citations

This map shows the geographic impact of Abdallah Makhoul'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 Abdallah Makhoul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdallah Makhoul more than expected).

Fields of papers citing papers by Abdallah Makhoul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdallah Makhoul. 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 Abdallah Makhoul. The network helps show where Abdallah Makhoul may publish in the future.

Co-authorship network of co-authors of Abdallah Makhoul

This figure shows the co-authorship network connecting the top 25 collaborators of Abdallah Makhoul. A scholar is included among the top collaborators of Abdallah Makhoul 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 Abdallah Makhoul. Abdallah Makhoul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abdo, Jacques Bou, et al.. (2025). Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review. Journal of Sensor and Actuator Networks. 14(2). 27–27. 2 indexed citations
2.
Abdo, Jacques Bou, et al.. (2024). Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation. 2(1). 1–25. 1 indexed citations
3.
Makhoul, Abdallah, et al.. (2024). Generative Adversarial Network Applications in Industry 4.0: A Review. International Journal of Computer Vision. 132(6). 2195–2254. 9 indexed citations
5.
Makhoul, Abdallah, et al.. (2023). Distributed Size-constrained Clustering Algorithm for Modular Robot-based Programmable Matter. ACM Transactions on Autonomous and Adaptive Systems. 18(1). 1–21. 3 indexed citations
6.
Azar, Joseph, Jacques Bou Abdo, Jacques Demerjian, et al.. (2023). Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems. Sensors. 23(16). 7038–7038. 18 indexed citations
7.
Azar, Joseph, et al.. (2023). Home Automation System with IoT Stack and ChatGPT for People with Reduced Mobility. 3. 44–49. 1 indexed citations
8.
Guyeux, Christophe, et al.. (2022). Using data science to predict firemen interventions: a case study. The Journal of Supercomputing. 79(7). 7160–7175.
9.
Abdo, Jacques Bou, et al.. (2021). A Critical Review on the Implementation of Static Data Sampling Techniques to Detect Network Attacks. IEEE Access. 9. 138903–138938. 5 indexed citations
10.
Azar, Joseph, Abdallah Makhoul, Raphaël Couturier, & Jacques Demerjian. (2021). Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering. Computers & Electrical Engineering. 92. 107065–107065. 25 indexed citations
11.
Couchot, Jean-François, et al.. (2021). Privacy-Preserving Prediction of Victim’s Mortality and Their Need for Transportation to Health Facilities. IEEE Transactions on Industrial Informatics. 18(8). 5592–5599. 7 indexed citations
12.
Abdo, Jacques Bou, et al.. (2021). Critique on Natural Noise in Recommender Systems. ACM Transactions on Knowledge Discovery from Data. 15(5). 1–30. 7 indexed citations
13.
Abdo, Jacques Bou, et al.. (2020). An optimal cluster‐based routing algorithm for UCBSNs. Internet Technology Letters. 4(2). 1 indexed citations
14.
Makhoul, Abdallah, et al.. (2020). Towards an Efficient Monitoring in Multi-hop Mobile Ad Hoc Networks.. 48. 93–120. 1 indexed citations
15.
Makhoul, Abdallah, et al.. (2019). A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks. IEEE Access. 7. 50669–50680. 33 indexed citations
16.
Harb, Hassan, Abdallah Makhoul, & Chady Abou Jaoude. (2018). A Real-Time Massive Data Processing Technique for Densely Distributed Sensor Networks. IEEE Access. 6. 56551–56561. 23 indexed citations
17.
Makhoul, Abdallah, et al.. (2018). Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks. Sensors. 18(10). 3572–3572. 12 indexed citations
18.
Rida, Mohamed, Abdallah Makhoul, Hassan Harb, David Laiymani, & Mahmoud Barhamgi. (2018). EK-means: A new clustering approach for datasets classification in sensor networks. Ad Hoc Networks. 84. 158–169. 31 indexed citations
19.
Harb, Hassan & Abdallah Makhoul. (2017). Energy-Efficient Sensor Data Collection Approach for Industrial Process Monitoring. IEEE Transactions on Industrial Informatics. 14(2). 661–672. 76 indexed citations
20.
Harb, Hassan, et al.. (2017). Comparison of Different Data Aggregation Techniques in Distributed Sensor Networks. IEEE Access. 5. 4250–4263. 45 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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