Ammar Alazab

1.6k total citations · 1 hit paper
46 papers, 907 citations indexed

About

Ammar Alazab is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ammar Alazab has authored 46 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 18 papers in Artificial Intelligence and 15 papers in Signal Processing. Recurrent topics in Ammar Alazab's work include Network Security and Intrusion Detection (18 papers), Advanced Malware Detection Techniques (14 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Ammar Alazab is often cited by papers focused on Network Security and Intrusion Detection (18 papers), Advanced Malware Detection Techniques (14 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). Ammar Alazab collaborates with scholars based in Australia, Bangladesh and Jordan. Ammar Alazab's co-authors include Ansam Khraisat, Moutaz Alazab, Iqbal Gondal, Peter Vamplew, Joarder Kamruzzaman, Jemal Abawajy, Michael Hobbs, Mamoun Alazab, Zhihan Lv and Ranran Lou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ammar Alazab

39 papers receiving 856 citations

Hit Papers

A critical review of intrusion detection systems in the i... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges
    2021 294 citations Ansam Khraisat, Ammar Alazab Cybersecurity profile →

Peers

Ammar Alazab
Naeem Syed Australia
Muna Al-Hawawreh Australia
Abebe Diro Australia
Khairul Akram Zainol Ariffin Malaysia
Dimitrios Papamartzivanos Greece
Erwin Adi Australia
Suprio Ray Canada
Ibrahim Ghafir United Kingdom
Johari Abdullah Malaysia
Fadele Ayotunde Alaba Nigeria
Naeem Syed Australia
Ammar Alazab
Citations per year, relative to Ammar Alazab Ammar Alazab (= 1×) peers Naeem Syed

Countries citing papers authored by Ammar Alazab

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Alazab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ammar Alazab

This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Alazab. A scholar is included among the top collaborators of Ammar 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 Ammar Alazab. Ammar 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.
Alazab, Ammar, et al.. (2026). Feature reduction in federated learning for intrusion detection in IoT networks. Cybersecurity. 9(1).
2.
3.
Jones, Nicholas C., et al.. (2025). A CIA Triad-Based Taxonomy of Prompt Attacks on Large Language Models. Future Internet. 17(3). 113–113. 1 indexed citations
4.
5.
Uddin, Md. Ashraf, et al.. (2025). Abnormal Driving Behavior Detection: A Machine and Deep Learning Based Hybrid Model. International Journal of Intelligent Transportation Systems Research. 23(1). 568–591. 2 indexed citations
6.
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
7.
Talukder, Md. Alamin, et al.. (2025). An explainable deep learning framework for trustworthy arrhythmia detection from ECG signals. Scientific Reports. 15(1). 39496–39496.
8.
9.
Alazab, Moutaz & Ammar Alazab. (2024). Advances in Cybersecurity and Reliability. Information. 15(6). 361–361.
10.
Pardede, Eric, et al.. (2024). Roadmap of Concept Drift Adaptation in Data Stream Mining, Years Later. IEEE Access. 12. 21129–21146. 3 indexed citations
11.
Alazab, Ammar, et al.. (2023). Enhancing Privacy-Preserving Intrusion Detection through Federated Learning. Electronics. 12(16). 3382–3382. 28 indexed citations
12.
Alazab, Ammar, et al.. (2023). Routing Attacks Detection in 6LoWPAN-Based Internet of Things. Electronics. 12(6). 1320–1320. 18 indexed citations
13.
Halder, Rajib Kumar, Mohammed Nasir Uddin, Md. Ashraf Uddin, et al.. (2023). A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach. Genes. 14(3). 582–582. 4 indexed citations
14.
Alazab, Ammar, Mohammed Nasir Uddin, Md. Ashraf Uddin, et al.. (2023). Smart Contract-Based Access Control Framework for Internet of Things Devices. Computers. 12(11). 240–240. 7 indexed citations
15.
Alazab, Ammar, et al.. (2022). Detection of Obfuscated Malicious JavaScript Code. Future Internet. 14(8). 217–217. 18 indexed citations
16.
Khraisat, Ansam, Iqbal Gondal, Peter Vamplew, Joarder Kamruzzaman, & Ammar Alazab. (2020). Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine. Electronics. 9(1). 173–173. 136 indexed citations
17.
Khraisat, Ansam, Iqbal Gondal, Peter Vamplew, Joarder Kamruzzaman, & Ammar Alazab. (2019). A Novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks. Electronics. 8(11). 1210–1210. 32 indexed citations
18.
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
19.
Alazab, Moutaz, Ammar Alazab, & Lynn Batten. (2011). Smartphone Malware based on synchronization Vulnerabilities. ANU Open Research (Australian National University). 1–6. 4 indexed citations
20.
Alazab, Ammar, Sitalakshmi Venkatraman, Jemal Abawajy, & Mamoun Alazab. (2010). An optimal transportation routing approach using GIS-based dynamic traffic flows. Deakin Research Online (Deakin University). 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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