Ahmad Azab

523 total citations
14 papers, 303 citations indexed

About

Ahmad Azab is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ahmad Azab has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Ahmad Azab's work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Ahmad Azab is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (7 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Ahmad Azab collaborates with scholars based in Australia, Kuwait and United Arab Emirates. Ahmad Azab's co-authors include Mahmoud Khasawneh, Mamoun Alazab, Saed Alrabaee, Robert Layton, Mahdi Aiash, Kim‐Kwang Raymond Choo, Jonathan Oliver, Paul Watters and Anjali Agarwal and has published in prestigious journals such as IEEE Access, Digital Communications and Networks and International Journal of Security and Networks.

In The Last Decade

Ahmad Azab

13 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmad Azab Australia 8 214 172 115 75 50 14 303
K. Simran India 3 179 0.8× 149 0.9× 121 1.1× 49 0.7× 29 0.6× 4 256
Nerijus Morkevičius Lithuania 9 216 1.0× 161 0.9× 108 0.9× 53 0.7× 29 0.6× 22 294
Sk. Tanzir Mehedi Bangladesh 6 200 0.9× 157 0.9× 87 0.8× 61 0.8× 55 1.1× 14 279
Yubo Song China 12 217 1.0× 198 1.2× 144 1.3× 113 1.5× 56 1.1× 66 396
Alfredo Nascita Italy 8 248 1.2× 220 1.3× 82 0.7× 77 1.0× 27 0.5× 16 350
Esraa Saleh Alomari Iraq 7 282 1.3× 202 1.2× 187 1.6× 70 0.9× 35 0.7× 14 340
Majd Latah Türkiye 8 236 1.1× 137 0.8× 88 0.8× 75 1.0× 43 0.9× 15 328
Arif Jamal Malik Pakistan 9 171 0.8× 143 0.8× 95 0.8× 37 0.5× 24 0.5× 15 244
Syed Raheel Hassan Pakistan 9 177 0.8× 100 0.6× 95 0.8× 83 1.1× 42 0.8× 31 281
Biswajit Nandy Canada 10 333 1.6× 106 0.6× 47 0.4× 69 0.9× 111 2.2× 44 376

Countries citing papers authored by Ahmad Azab

Since Specialization
Citations

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

Fields of papers citing papers by Ahmad Azab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Azab

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmad Azab. A scholar is included among the top collaborators of Ahmad Azab 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 Ahmad Azab. Ahmad Azab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
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
2.
Khasawneh, Mahmoud, Ahmad Azab, & Saed Alrabaee. (2023). An Internet of Things-based System Towards Detecting Oil Spills. 197–202.
3.
Azab, Ahmad, et al.. (2022). Network traffic classification: Techniques, datasets, and challenges. Digital Communications and Networks. 10(3). 676–692. 92 indexed citations
4.
Azab, Ahmad. (2022). The effectiveness of cost sensitive machine learning algorithms in classifying Zeus flows. International Journal of Information and Computer Security. 17(3/4). 332–332. 2 indexed citations
5.
Khasawneh, Mahmoud, Ahmad Azab, & Anjali Agarwal. (2020). Towards Securing Routing Based on Nodes Behavior During Spectrum Sensing in Cognitive Radio Networks. IEEE Access. 8. 171512–171527. 13 indexed citations
6.
Azab, Ahmad & Mahmoud Khasawneh. (2020). MSIC: Malware Spectrogram Image Classification. IEEE Access. 8. 102007–102021. 25 indexed citations
7.
Azab, Ahmad. (2020). Packing resistant solution to group malware binaries. International Journal of Security and Networks. 15(3). 123–123. 3 indexed citations
8.
Azab, Ahmad, et al.. (2019). AVOCAD: Adaptive Terrorist Comms Surveillance and Interception using Machine Learning. 1. 85–94. 1 indexed citations
9.
Azab, Ahmad, Mamoun Alazab, & Mahdi Aiash. (2016). Machine Learning Based Botnet Identification Traffic. Middlesex University Research Repository (Middlesex University Of London). 1788–1794. 64 indexed citations
10.
Azab, Ahmad. (2015). Classification of network information flow analysis (CONIFA) to detect new application versions. FedUni ResearchOnline (Federation University Australia). 1 indexed citations
11.
Layton, Robert & Ahmad Azab. (2014). Authorship Analysis of the Zeus Botnet Source Code. FedUni ResearchOnline (Federation University Australia). 8. 38–43. 10 indexed citations
12.
Azab, Ahmad, Robert Layton, Mamoun Alazab, & Jonathan Oliver. (2014). Mining Malware to Detect Variants. FedUni ResearchOnline (Federation University Australia). 44–53. 34 indexed citations
13.
Azab, Ahmad, Robert Layton, Mamoun Alazab, & Paul Watters. (2013). Skype Traffic Classification Using Cost Sensitive Algorithms. FedUni ResearchOnline (Federation University Australia). 14–21. 6 indexed citations
14.
Azab, Ahmad, Paul Watters, & Robert Layton. (2012). Characterising Network Traffic for Skype Forensics. 19–27. 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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