Moutaz Alazab

1.9k total citations
54 papers, 1.1k citations indexed

About

Moutaz Alazab is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Moutaz Alazab has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 21 papers in Signal Processing and 20 papers in Artificial Intelligence. Recurrent topics in Moutaz Alazab's work include Network Security and Intrusion Detection (25 papers), Advanced Malware Detection Techniques (21 papers) and Anomaly Detection Techniques and Applications (6 papers). Moutaz Alazab is often cited by papers focused on Network Security and Intrusion Detection (25 papers), Advanced Malware Detection Techniques (21 papers) and Anomaly Detection Techniques and Applications (6 papers). Moutaz Alazab collaborates with scholars based in Jordan, Australia and Spain. Moutaz Alazab's co-authors include Albara Awajan, Salah Alhyari, Mamoun Alazab, Ayman Bahjat Abdallah, Sitalakshmi Venkatraman, Ammar Alazab, Andrii Shalaginov, Abdelwadood Mesleh, Paul Watters and David Camacho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Moutaz Alazab

44 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moutaz Alazab Jordan 18 541 467 450 422 100 54 1.1k
Ralf Möller Germany 18 502 0.9× 644 1.4× 214 0.5× 1.3k 3.0× 189 1.9× 134 1.7k
Muhammad Younas United Kingdom 18 632 1.2× 565 1.2× 164 0.4× 294 0.7× 78 0.8× 107 1.1k
Ahmad Firdaus Malaysia 18 440 0.8× 450 1.0× 396 0.9× 216 0.5× 83 0.8× 56 978
Lars Lundberg Sweden 20 493 0.9× 575 1.2× 237 0.5× 230 0.5× 91 0.9× 148 1.4k
Neal Leavitt 15 589 1.1× 683 1.5× 170 0.4× 212 0.5× 69 0.7× 25 1.1k
Alexander Zeier Germany 15 662 1.2× 420 0.9× 178 0.4× 197 0.5× 58 0.6× 86 1.0k
Hai Dong Australia 19 574 1.1× 827 1.8× 113 0.3× 448 1.1× 85 0.8× 122 1.4k
Marco Comuzzi South Korea 19 636 1.2× 662 1.4× 201 0.4× 644 1.5× 81 0.8× 75 1.6k
Javed Aslam United States 18 917 1.7× 693 1.5× 290 0.6× 772 1.8× 234 2.3× 46 2.1k
Yang Feng China 18 271 0.5× 918 2.0× 233 0.5× 368 0.9× 80 0.8× 90 1.3k

Countries citing papers authored by Moutaz Alazab

Since Specialization
Citations

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

Fields of papers citing papers by Moutaz Alazab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moutaz Alazab

This figure shows the co-authorship network connecting the top 25 collaborators of Moutaz Alazab. A scholar is included among the top collaborators of Moutaz Alazab 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 Moutaz Alazab. Moutaz Alazab 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.
Hussain, Sumaira, et al.. (2025). Optimizing malicious website prediction: An advanced XGBoost-based machine learning model. Nonlinear Engineering. 14(1).
2.
Khraisat, Ansam, et al.. (2025). Securing federated learning: a defense strategy against targeted data poisoning attack. SHILAP Revista de lepidopterología. 5(1). 6 indexed citations
3.
Alazab, Moutaz, Albara Awajan, Nuruzzaman Faruqui, et al.. (2025). Adaptive protocols for hypervisor security in cloud infrastructure using federated learning-based anomaly detection. Engineering Applications of Artificial Intelligence. 152. 110750–110750. 2 indexed citations
4.
Khraisat, Ansam, et al.. (2025). Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy. SHILAP Revista de lepidopterología. 5(1).
5.
Alazab, Moutaz, et al.. (2024). A Novel IDS with a Dynamic Access Control Algorithm to Detect and Defend Intrusion at IoT Nodes. Sensors. 24(7). 2188–2188. 9 indexed citations
6.
Alazab, Moutaz, et al.. (2024). Enhanced threat intelligence framework for advanced cybersecurity resilience. Egyptian Informatics Journal. 27. 100521–100521. 7 indexed citations
7.
Alazab, Moutaz & Ammar Alazab. (2024). Advances in Cybersecurity and Reliability. Information. 15(6). 361–361.
8.
Alazab, Moutaz, Ruba Abu Khurma, David Camacho, & A. Miguel San Martin. (2024). Enhanced Android Ransomware Detection Through Hybrid Simultaneous Swarm-Based Optimization. Cognitive Computation. 16(5). 2154–2168. 3 indexed citations
9.
Alazab, Moutaz, et al.. (2023). Grapharizer: A Graph-Based Technique for Extractive Multi-Document Summarization. Electronics. 12(8). 1895–1895. 7 indexed citations
10.
Alazab, Moutaz. (2023). Android ransomware detection using binary Jaya optimization algorithm. Expert Systems. 41(1). 4 indexed citations
11.
Wedyan, Mohammad, et al.. (2023). Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks. Information. 14(5). 272–272. 14 indexed citations
12.
13.
Wedyan, Mohammad, et al.. (2023). A New Augmented Reality System for Calculating Social Distancing between Children at School. Electronics. 12(2). 358–358.
14.
Alazab, Ammar, et al.. (2022). Detection of Obfuscated Malicious JavaScript Code. Future Internet. 14(8). 217–217. 18 indexed citations
15.
Hasan, Mohammad Kamrul, Md. Akhtaruzzaman, Thippa Reddy Gadekallu, et al.. (2022). Evolution of Industry and Blockchain Era: Monitoring Price Hike and Corruption Using BIoT for Smart Government and Industry 4.0. IEEE Transactions on Industrial Informatics. 18(12). 9153–9161. 50 indexed citations
16.
Alazab, Moutaz, Salah Alhyari, Albara Awajan, & Ayman Bahjat Abdallah. (2020). Blockchain technology in supply chain management: an empirical study of the factors affecting user adoption/acceptance. Cluster Computing. 24(1). 83–101. 158 indexed citations
17.
Alazab, Moutaz. (2020). Automated Malware Detection in Mobile App Stores Based on Robust Feature Generation. Electronics. 9(3). 435–435. 26 indexed citations
18.
Alazab, Mamoun, Sitalakshmi Venkatraman, Paul Watters, & Moutaz Alazab. (2011). Zero-day malware detection based on supervised learning algorithms of API call signatures. FedUni ResearchOnline (Federation University Australia). 171–182. 118 indexed citations
19.
Alazab, Mamoun, Sitalakshmi Venkatraman, Paul Watters, Moutaz Alazab, & Ammar Alazab. (2011). Cybercrime : the case of obfuscated malware. Deakin Research Online (Deakin University). 6 indexed citations
20.
Alazab, Moutaz, Ammar Alazab, & Lynn Batten. (2011). Smartphone Malware based on synchronization Vulnerabilities. ANU Open Research (Australian National University). 1–6. 4 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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