Djallel Hamouda

1.4k total citations · 2 hit papers
8 papers, 827 citations indexed

About

Djallel Hamouda is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Djallel Hamouda has authored 8 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Signal Processing. Recurrent topics in Djallel Hamouda's work include Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (5 papers) and Adversarial Robustness in Machine Learning (2 papers). Djallel Hamouda is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (5 papers) and Adversarial Robustness in Machine Learning (2 papers). Djallel Hamouda collaborates with scholars based in Algeria, United Kingdom and United Arab Emirates. Djallel Hamouda's co-authors include Mohamed Amine Ferrag, Othmane Friha, Λέανδρος Μαγλαράς, Helge Janicke, Kim‐Kwang Raymond Choo, Lei Shu, Hamid Séridi, Mérouane Debbah, Norbert Tihanyi and Burak Kantarcı and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Djallel Hamouda

8 papers receiving 794 citations

Hit Papers

Edge-IIoTset: A New Comprehensive Realistic Cyber Securit... 2021 2026 2022 2024 2022 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Djallel Hamouda Algeria 7 657 477 338 127 127 8 827
Ángel Luis Perales Gómez Spain 10 377 0.6× 312 0.7× 194 0.6× 147 1.2× 105 0.8× 19 557
Rajasekhar Chaganti United States 15 580 0.9× 350 0.7× 344 1.0× 58 0.5× 225 1.8× 18 831
Amin Azmoodeh Canada 10 722 1.1× 378 0.8× 589 1.7× 77 0.6× 280 2.2× 12 896
Kangfeng Zheng China 11 630 1.0× 599 1.3× 308 0.9× 86 0.7× 131 1.0× 32 860
Enrico Cambiaso Italy 17 652 1.0× 456 1.0× 393 1.2× 100 0.8× 135 1.1× 45 820
Imtiaz Ullah Canada 12 651 1.0× 547 1.1× 384 1.1× 132 1.0× 66 0.5× 13 759
Nataliia Neshenko United States 7 450 0.7× 237 0.5× 254 0.8× 88 0.7× 242 1.9× 13 670
Yizhen Jia China 7 508 0.8× 300 0.6× 240 0.7× 48 0.4× 204 1.6× 12 687
Hamed HaddadPajouh Canada 7 545 0.8× 306 0.6× 401 1.2× 68 0.5× 228 1.8× 10 714
Travis Atkison United States 10 259 0.4× 146 0.3× 153 0.5× 136 1.1× 141 1.1× 54 476

Countries citing papers authored by Djallel Hamouda

Since Specialization
Citations

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

Fields of papers citing papers by Djallel Hamouda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djallel Hamouda

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

All Works

8 of 8 papers shown
1.
Ferrag, Mohamed Amine, et al.. (2026). From prompt injections to protocol exploits: Threats in LLM-powered AI agents workflows. SHILAP Revista de lepidopterología. 2 indexed citations
2.
Hamouda, Djallel, et al.. (2024). Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques. Internet of Things. 26. 101149–101149. 8 indexed citations
3.
Ferrag, Mohamed Amine, Othmane Friha, Burak Kantarcı, et al.. (2023). Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses. IEEE Communications Surveys & Tutorials. 25(4). 2654–2713. 69 indexed citations
4.
Ferrag, Mohamed Amine, Djallel Hamouda, Mérouane Debbah, Λέανδρος Μαγλαράς, & Abderrahmane Lakas. (2023). Generative Adversarial Networks-Driven Cyber Threat Intelligence Detection Framework for Securing Internet of Things. 196–200. 11 indexed citations
5.
Ferrag, Mohamed Amine, Othmane Friha, Djallel Hamouda, Λέανδρος Μαγλαράς, & Helge Janicke. (2022). Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning. IEEE Access. 10. 40281–40306. 527 indexed citations breakdown →
6.
Hamouda, Djallel, et al.. (2022). PPSS: A privacy-preserving secure framework using blockchain-enabled federated deep learning for Industrial IoTs. Pervasive and Mobile Computing. 88. 101738–101738. 37 indexed citations
7.
Ferrag, Mohamed Amine, Lei Shu, Djallel Hamouda, & Kim‐Kwang Raymond Choo. (2021). Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0. Electronics. 10(11). 1257–1257. 162 indexed citations breakdown →
8.
Hamouda, Djallel, et al.. (2021). Intrusion Detection Systems for Industrial Internet of Things: A Survey. 1–8. 11 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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