Saad Harous

3.3k total citations
211 papers, 2.1k citations indexed

About

Saad Harous is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Saad Harous has authored 211 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Networks and Communications, 53 papers in Artificial Intelligence and 51 papers in Electrical and Electronic Engineering. Recurrent topics in Saad Harous's work include Energy Efficient Wireless Sensor Networks (30 papers), Mobile Ad Hoc Networks (29 papers) and Opportunistic and Delay-Tolerant Networks (22 papers). Saad Harous is often cited by papers focused on Energy Efficient Wireless Sensor Networks (30 papers), Mobile Ad Hoc Networks (29 papers) and Opportunistic and Delay-Tolerant Networks (22 papers). Saad Harous collaborates with scholars based in United Arab Emirates, Algeria and France. Saad Harous's co-authors include Zibouda Aliouat, Abdelhak Bentaleb, Ramdane Maamri, Yasmine Harbi, Roger Zimmermann, Ali C. Begen, Djamel Eddine Saïdouni, Devendra Kumar, Heba Ismail and Shahid Mumtaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Saad Harous

195 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saad Harous United Arab Emirates 24 1.1k 643 420 400 355 211 2.1k
JaeSeung Song South Korea 27 1.5k 1.3× 697 1.1× 318 0.8× 293 0.7× 500 1.4× 103 2.3k
Ulf Jennehag Sweden 15 1.1k 1.0× 585 0.9× 360 0.9× 346 0.9× 398 1.1× 34 2.1k
Claudio Savaglio Italy 27 1.6k 1.5× 528 0.8× 459 1.1× 513 1.3× 688 1.9× 66 2.5k
Fazlullah Khan Pakistan 27 1.0k 0.9× 467 0.7× 185 0.4× 480 1.2× 611 1.7× 92 2.0k
Ren‐Hung Hwang Taiwan 25 1.6k 1.4× 962 1.5× 205 0.5× 681 1.7× 348 1.0× 238 2.5k
Jukka K. Nurminen Finland 26 1.7k 1.5× 1.1k 1.6× 448 1.1× 277 0.7× 587 1.7× 134 2.6k
Omar Alfandi United Arab Emirates 23 845 0.8× 382 0.6× 210 0.5× 483 1.2× 540 1.5× 102 1.8k
Nalini Venkatasubramanian United States 28 2.2k 2.0× 930 1.4× 572 1.4× 451 1.1× 695 2.0× 252 3.3k
Grammati Pantziou Greece 22 1.0k 0.9× 421 0.7× 252 0.6× 240 0.6× 413 1.2× 103 2.4k
Hao Yin China 21 1.4k 1.2× 485 0.8× 452 1.1× 419 1.0× 390 1.1× 144 2.1k

Countries citing papers authored by Saad Harous

Since Specialization
Citations

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

Fields of papers citing papers by Saad Harous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saad Harous

This figure shows the co-authorship network connecting the top 25 collaborators of Saad Harous. A scholar is included among the top collaborators of Saad Harous 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 Saad Harous. Saad Harous 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.
Harous, Saad, et al.. (2025). AI-RiskX: An Explainable Deep Learning Approach for Identifying At-Risk Patients During Pandemics. Bioengineering. 12(10). 1127–1127.
2.
Aliouat, Zibouda, et al.. (2024). Landscape of learning techniques for intrusion detection system in IoT: A systematic literature review. Computers & Electrical Engineering. 120. 109725–109725. 1 indexed citations
3.
Kazar, Okba, et al.. (2024). An optimized deep hybrid learning for multi-channel EEG-based driver drowsiness detection. Biomedical Signal Processing and Control. 99. 106881–106881. 4 indexed citations
4.
Kazar, Okba, et al.. (2024). Identification and diagnosis of schizophrenia based on multichannel EEG and CNN deep learning model. Schizophrenia Research. 271. 28–35. 3 indexed citations
5.
Alrabaee, Saed, et al.. (2024). A Comprehensive Evaluation of Machine Learning Algorithms for Web Application Attack Detection with Knowledge Graph Integration. Mobile Networks and Applications. 29(3). 1008–1037. 3 indexed citations
6.
8.
Harous, Saad, et al.. (2023). Improving consistency of AADL models: A composition approach. Systems Engineering. 26(3). 257–270.
9.
Harous, Saad, et al.. (2023). Genetic Algorithm-Based Path Selection for Power-Efficient Energy Routing in Smart Grids and Energy Internet. SPIRE - Sciences Po Institutional REpository. 1–6. 2 indexed citations
10.
Harous, Saad, et al.. (2023). Integrating the Opposition Nelder–Mead Algorithm into the Selection Phase of the Genetic Algorithm for Enhanced Optimization. Applied System Innovation. 6(5). 80–80. 5 indexed citations
11.
Harous, Saad, et al.. (2021). Fault-Detection Tactics for Optimized Embedded Systems Efficiency. IEEE Access. 9. 91328–91340. 3 indexed citations
12.
Aliouat, Zibouda, et al.. (2019). A Distributed Weight-Based TDMA Scheduling Algorithm for Latency Improvement in IoT. 768–774. 11 indexed citations
13.
Nasir, Qassim, et al.. (2007). Congestion Aware Multi-path Dynamic Source Routing Protocol (CAWMP-DSR) for Mobile Ad-Hoc Network. 199–206. 7 indexed citations
14.
Harous, Saad, et al.. (2006). A Multi-Agents System to Support a Virtual Laboratory.. 477–484. 3 indexed citations
15.
Harous, Saad, et al.. (2006). Simulation of a Cell Proliferation Model.. 145–154.
16.
Harous, Saad, et al.. (2006). Learning and Navigation Assistance in a Hypermedia. International journal of instructional media. 33(3). 265–276. 6 indexed citations
17.
Harous, Saad & Mahiéddine Djoudi. (2003). A Cooperative Authoring System for Intelligent Tutoring Systems.. International Conference on Internet Computing. 723–729. 1 indexed citations
18.
Djoudi, Mahiéddine & Saad Harous. (2001). Simplifying the Learning Process over the Internet. T.H.E. Journal Technological Horizons in Education. 29(4). 50. 3 indexed citations
19.
Yagi, Sane & Saad Harous. (1999). Arabic Morphological System: Statistics and Algorithm.. International Conference on Artificial Intelligence. 19–25. 1 indexed citations
20.
Kumar, Devendra & Saad Harous. (1990). An approach towards distributed simulation of timed Petri nets. Winter Simulation Conference. 428–435. 17 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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