Saed Alrabaee

1.6k total citations
73 papers, 813 citations indexed

About

Saed Alrabaee is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Saed Alrabaee has authored 73 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 28 papers in Computer Networks and Communications and 28 papers in Signal Processing. Recurrent topics in Saed Alrabaee's work include Advanced Malware Detection Techniques (28 papers), Network Security and Intrusion Detection (14 papers) and Information and Cyber Security (12 papers). Saed Alrabaee is often cited by papers focused on Advanced Malware Detection Techniques (28 papers), Network Security and Intrusion Detection (14 papers) and Information and Cyber Security (12 papers). Saed Alrabaee collaborates with scholars based in United Arab Emirates, Canada and United States. Saed Alrabaee's co-authors include Mourad Debbabi, Lingyu Wang, Mahmoud Khasawneh, Kim‐Kwang Raymond Choo, Mousa Al-kfairy, Ahmad Azab, Paria Shirani, Ezedin Barka, Anjali Agarwal and Ahmed Shuhaiber and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Saed Alrabaee

66 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saed Alrabaee United Arab Emirates 17 365 352 317 256 113 73 813
Biju Issac United Kingdom 15 327 0.9× 475 1.3× 302 1.0× 382 1.5× 89 0.8× 79 905
Adam Shostack United States 8 589 1.6× 296 0.8× 293 0.9× 202 0.8× 62 0.5× 17 878
Mohd Faizal Ab Razak Malaysia 17 443 1.2× 433 1.2× 401 1.3× 183 0.7× 27 0.2× 43 847
Narmeen Zakaria Bawany Pakistan 13 178 0.5× 412 1.2× 166 0.5× 287 1.1× 43 0.4× 45 771
Rose Gamble United States 16 503 1.4× 319 0.9× 87 0.3× 337 1.3× 34 0.3× 133 819
Andrea Di Sorbo Italy 19 1.2k 3.2× 294 0.8× 280 0.9× 426 1.7× 44 0.4× 45 1.5k
Shobha Venkataraman United States 13 204 0.6× 694 2.0× 240 0.8× 257 1.0× 389 3.4× 29 1.1k
Naresh Kumar Nagwani India 16 411 1.1× 163 0.5× 100 0.3× 423 1.7× 32 0.3× 106 850
Christos Kalloniatis Greece 17 498 1.4× 154 0.4× 198 0.6× 269 1.1× 50 0.4× 77 850

Countries citing papers authored by Saed Alrabaee

Since Specialization
Citations

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

Fields of papers citing papers by Saed Alrabaee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saed Alrabaee

This figure shows the co-authorship network connecting the top 25 collaborators of Saed Alrabaee. A scholar is included among the top collaborators of Saed Alrabaee 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 Saed Alrabaee. Saed Alrabaee 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.
Al-kfairy, Mousa, et al.. (2025). Privacy, identity, and fairness: Unpacking ethical influences on metaverse adoption in university learning. Computers and Education Open. 9. 100292–100292.
2.
Alrabaee, Saed, et al.. (2025). Enhancing Federated Feature Selection Through Synthetic Data and Zero Trust Integration. IEEE Journal on Selected Areas in Communications. 43(6). 2126–2140.
3.
Al-kfairy, Mousa, et al.. (2025). Navigating Ethical Dimensions in the Metaverse: Challenges, Frameworks, and Solutions. IEEE Access. 13. 79996–80018. 10 indexed citations
4.
Dankar, Fida K., et al.. (2025). Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions. Computational and Structural Biotechnology Journal. 28. 217–238. 3 indexed citations
5.
Alrabaee, Saed, et al.. (2024). Compiler-provenance identification in obfuscated binaries using vision transformers. Forensic Science International Digital Investigation. 49. 301764–301764.
6.
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
7.
Alrabaee, Saed, et al.. (2024). Cybersecurity activities for education and curriculum design: A survey. Computers in Human Behavior Reports. 16. 100501–100501. 4 indexed citations
8.
Xu, Zheng, et al.. (2023). Cyber Security Intelligence and Analytics. Lecture notes on data engineering and communications technologies. 1 indexed citations
9.
Khasawneh, Mahmoud, et al.. (2023). Convergence of IoT and Cognitive Radio Networks: A Survey of Applications, Techniques, and Challenges. IEEE Access. 11. 71097–71112. 35 indexed citations
10.
Alrabaee, Saed, et al.. (2023). A Deep Learning Approach to Discover Router Firmware Vulnerabilities. IEEE Transactions on Industrial Informatics. 20(1). 691–702. 1 indexed citations
11.
Talhi, Chamseddine, et al.. (2023). A Multi-Objective Approach Based on Differential Evolution and Deep Learning Algorithms for VANETs. IEEE Transactions on Vehicular Technology. 72(3). 3035–3050. 15 indexed citations
12.
Alrabaee, Saed, et al.. (2022). The role of national cybersecurity strategies on the improvement of cybersecurity education. Computers & Security. 119. 102754–102754. 68 indexed citations
13.
Shuhaiber, Ahmed, Mousa Al-kfairy, & Saed Alrabaee. (2022). The Good, The Bad, and The Ugly About Insta Shopping: A Qualitative Study. IEEE Transactions on Computational Social Systems. 10(5). 2786–2796. 15 indexed citations
14.
Azab, Ahmad, et al.. (2022). Network traffic classification: Techniques, datasets, and challenges. Digital Communications and Networks. 10(3). 676–692. 92 indexed citations
15.
Alrabaee, Saed, et al.. (2022). COVID-19 pandemic and the cyberthreat landscape: Research challenges and opportunities. Digital Communications and Networks. 9(1). 211–222. 26 indexed citations
16.
Alrabaee, Saed, Mourad Debbabi, & Lingyu Wang. (2022). A Survey of Binary Code Fingerprinting Approaches: Taxonomy, Methodologies, and Features. ACM Computing Surveys. 55(1). 1–41. 21 indexed citations
17.
Alrabaee, Saed. (2022). A stratified approach to function fingerprinting in program binaries using diverse features. Expert Systems with Applications. 193. 116384–116384. 6 indexed citations
18.
Harous, Saad, et al.. (2021). Fault-Detection Tactics for Optimized Embedded Systems Efficiency. IEEE Access. 9. 91328–91340. 3 indexed citations
19.
Alrabaee, Saed, Mourad Debbabi, & Lingyu Wang. (2020). CPA: Accurate Cross-Platform Binary Authorship Characterization Using LDA. IEEE Transactions on Information Forensics and Security. 15. 3051–3066. 8 indexed citations
20.
Khasawneh, Mahmoud, Anjali Agarwal, Nishith Goel, Marzia Zaman, & Saed Alrabaee. (2012). A game theoretic approach to power trading in cognitive radio systems. International Conference on Software, Telecommunications and Computer Networks. 1–5. 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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