Chady Abou Jaoude

456 total citations
27 papers, 237 citations indexed

About

Chady Abou Jaoude is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Water Science and Technology. According to data from OpenAlex, Chady Abou Jaoude has authored 27 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Water Science and Technology. Recurrent topics in Chady Abou Jaoude's work include Energy Efficient Wireless Sensor Networks (16 papers), IoT and Edge/Fog Computing (8 papers) and Water Quality Monitoring Technologies (7 papers). Chady Abou Jaoude is often cited by papers focused on Energy Efficient Wireless Sensor Networks (16 papers), IoT and Edge/Fog Computing (8 papers) and Water Quality Monitoring Technologies (7 papers). Chady Abou Jaoude collaborates with scholars based in Lebanon, France and Iraq. Chady Abou Jaoude's co-authors include Ali Kadhum Idrees, Ali Kadhum M. Al‐Qurabat, Hassan Harb, Abdallah Makhoul, Wathiq Laftah Al-Yaseen, Chamseddine Zaki, Jacques Demerjian, Ali Jaber, Abbass Nasser and Rami Yared and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Chady Abou Jaoude

22 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chady Abou Jaoude Lebanon 9 157 71 43 36 28 27 237
Ali Jaber Lebanon 10 185 1.2× 77 1.1× 32 0.7× 39 1.1× 34 1.2× 40 277
Sanjeev J. Wagh India 8 166 1.1× 84 1.2× 27 0.6× 23 0.6× 25 0.9× 37 245
Nestor Michael C. Tiglao Philippines 10 137 0.9× 110 1.5× 49 1.1× 24 0.7× 19 0.7× 40 285
Michael Healy Ireland 6 194 1.2× 123 1.7× 37 0.9× 29 0.8× 30 1.1× 11 273
S. S. Sonavane India 10 191 1.2× 107 1.5× 27 0.6× 20 0.6× 47 1.7× 22 316
Zhenhua Zou Sweden 10 211 1.3× 193 2.7× 26 0.6× 16 0.4× 19 0.7× 17 361
Lejiang Guo China 12 208 1.3× 135 1.9× 38 0.9× 32 0.9× 21 0.8× 41 317
Jiwa Abdullah Malaysia 9 175 1.1× 149 2.1× 22 0.5× 49 1.4× 15 0.5× 48 270
Hardeep Singh Saini India 8 99 0.6× 153 2.2× 17 0.4× 22 0.6× 21 0.8× 43 295

Countries citing papers authored by Chady Abou Jaoude

Since Specialization
Citations

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

Fields of papers citing papers by Chady Abou Jaoude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chady Abou Jaoude. 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 Chady Abou Jaoude. The network helps show where Chady Abou Jaoude may publish in the future.

Co-authorship network of co-authors of Chady Abou Jaoude

This figure shows the co-authorship network connecting the top 25 collaborators of Chady Abou Jaoude. A scholar is included among the top collaborators of Chady Abou Jaoude 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 Chady Abou Jaoude. Chady Abou Jaoude 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.
Harb, Hassan, et al.. (2025). Cluster or tree? Toward a hybrid topology for sensor networks. Results in Engineering. 27. 105823–105823. 1 indexed citations
2.
Harb, Hassan, et al.. (2024). CLARA: A cluster-based node correlation for sampling rate adaptation and fault tolerance in sensor networks. Internet of Things. 28. 101345–101345.
3.
Harb, Hassan, et al.. (2022). AGRO: A smart sensing and decision-making mechanism for real-time agriculture monitoring. Journal of King Saud University - Computer and Information Sciences. 34(9). 7059–7069. 28 indexed citations
4.
Guyeux, Christophe, et al.. (2022). Predicting fire brigades' operations based on their type of interventions. 2022 International Wireless Communications and Mobile Computing (IWCMC). 606–610.
5.
Al‐Qurabat, Ali Kadhum M., Ali Kadhum Idrees, Abdallah Makhoul, & Chady Abou Jaoude. (2022). A Bi-Level Data Lowering Method to Minimize Transferring Big Data in the Sensors of IoT Applications. Karbala International Journal of Modern Science. 8(2). 123–138. 10 indexed citations
6.
Harb, Hassan, et al.. (2022). Fighting against COVID-19: Who Failed and Who Succeeded?. Journal of Computer and Communications. 10(4). 32–50. 5 indexed citations
7.
Jaoude, Chady Abou, et al.. (2022). A No-Reference and Full-Reference image quality assessment and enhancement framework in real-time. Multimedia Tools and Applications. 81(22). 32491–32517. 2 indexed citations
8.
Harb, Hassan, et al.. (2022). A Multi-Tier Data Prediction Mechanism for the Internet of Things Networks. Wireless Personal Communications. 127(4). 3139–3172.
9.
Harb, Hassan, et al.. (2021). Orchestration‐based mechanism for sampling adaptation in sensing‐based applications. SHILAP Revista de lepidopterología. 3(3). 158–170. 4 indexed citations
10.
Idrees, Ali Kadhum, Chady Abou Jaoude, & Ali Kadhum M. Al‐Qurabat. (2020). Data Reduction and Cleaning Approach for Energy-saving in Wireless Sensors Networks of IoT. 1–6. 21 indexed citations
11.
Abdo, Jacques Bou, et al.. (2020). Efficient anomaly detection on sampled data streams with contaminated phase I data. Internet Technology Letters. 3(5). 2 indexed citations
12.
Idrees, Ali Kadhum, Ali Kadhum M. Al‐Qurabat, Chady Abou Jaoude, & Wathiq Laftah Al-Yaseen. (2019). Integrated Divide and Conquer with Enhanced k-means technique for Energy-saving Data Aggregation in Wireless Sensor Networks. 973–978. 29 indexed citations
13.
Harb, Hassan, Chady Abou Jaoude, & Abdallah Makhoul. (2019). An energy-efficient data prediction and processing approach for the internet of things and sensing based applications. Peer-to-Peer Networking and Applications. 13(3). 780–795. 19 indexed citations
14.
Harb, Hassan, et al.. (2019). Correlation-Based Sensor Activity Scheduling Mechanisms for Wireless Sensor Networks. 8. 1–8. 1 indexed citations
15.
Chabchoub, Yousra, et al.. (2019). Towards Efficient Data Sampling for Temporal Anomaly Detection in Sensor Networks. 1–6. 2 indexed citations
16.
Harb, Hassan, et al.. (2019). A Distributed Round-Based Prediction Model for Hierarchical Large-Scale Sensor Networks. 1–6. 3 indexed citations
17.
Nasser, Abbass, et al.. (2019). An Adaptive Sampling Technique for Massive Data Collection in Distributed Sensor Networks. 1255–1260. 11 indexed citations
18.
Jaoude, Chady Abou, et al.. (2019). A Real-Time Multimedia Data Quality Assessment Framework. 270–276. 1 indexed citations
19.
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
20.
Yared, Rami, Chady Abou Jaoude, & Jacques Demerjian. (2018). Smart-phone based system to monitor walking activity: MHealth solution. 13. 1–5. 5 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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