Helge Janicke

7.6k total citations · 5 hit papers
146 papers, 4.4k citations indexed

About

Helge Janicke is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Helge Janicke has authored 146 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Information Systems, 63 papers in Computer Networks and Communications and 43 papers in Signal Processing. Recurrent topics in Helge Janicke's work include Information and Cyber Security (46 papers), Network Security and Intrusion Detection (42 papers) and Advanced Malware Detection Techniques (42 papers). Helge Janicke is often cited by papers focused on Information and Cyber Security (46 papers), Network Security and Intrusion Detection (42 papers) and Advanced Malware Detection Techniques (42 papers). Helge Janicke collaborates with scholars based in United Kingdom, Australia and Algeria. Helge Janicke's co-authors include Λέανδρος Μαγλαράς, Mohamed Amine Ferrag, Sotiris Moschoyiannis, Othmane Friha, Ying He, Djallel Hamouda, Lei Shu, Andrew Nicholson, Richard Smith and Jianmin Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Helge Janicke

140 papers receiving 4.2k citations

Hit Papers

Deep learning for cyber s... 2019 2026 2021 2023 2019 2022 2020 2021 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helge Janicke United Kingdom 27 2.5k 1.7k 1.7k 1.3k 787 146 4.4k
Λέανδρος Μαγλαράς United Kingdom 39 3.9k 1.5× 2.2k 1.3× 2.0k 1.2× 1.5k 1.2× 1.1k 1.4× 180 6.3k
Jeffrey Voas United States 26 1.9k 0.8× 1.2k 0.7× 1.7k 1.0× 1.0k 0.8× 296 0.4× 171 3.8k
Quanyan Zhu United States 36 2.7k 1.1× 885 0.5× 1.6k 1.0× 526 0.4× 2.1k 2.6× 281 5.8k
Georgios Kambourakis Greece 33 3.5k 1.4× 2.3k 1.3× 1.5k 0.9× 2.0k 1.5× 318 0.4× 144 4.8k
Asaf Shabtai Israel 30 2.8k 1.1× 1.8k 1.1× 1.6k 0.9× 2.5k 1.9× 394 0.5× 169 4.4k
Peter G. Neumann United States 29 1.6k 0.7× 1.9k 1.1× 975 0.6× 890 0.7× 236 0.3× 291 3.9k
Carl E. Landwehr United States 14 2.2k 0.9× 1.4k 0.8× 1.6k 1.0× 538 0.4× 425 0.5× 70 4.3k
Javier López Spain 33 4.3k 1.7× 1.8k 1.1× 2.5k 1.5× 1.0k 0.8× 843 1.1× 258 6.7k
Yves Le Traon Luxembourg 49 2.6k 1.1× 2.7k 1.6× 5.1k 3.1× 3.7k 2.9× 203 0.3× 283 9.0k
Mohammad Hammoudeh United Kingdom 40 3.0k 1.2× 1.5k 0.8× 1.7k 1.0× 964 0.7× 416 0.5× 214 5.2k

Countries citing papers authored by Helge Janicke

Since Specialization
Citations

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

Fields of papers citing papers by Helge Janicke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helge Janicke

This figure shows the co-authorship network connecting the top 25 collaborators of Helge Janicke. A scholar is included among the top collaborators of Helge Janicke 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 Helge Janicke. Helge Janicke 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.
Yang, Lu‐Xing, Gang Li, Robin Doss, et al.. (2025). Mitigating malware prevalence in networks with arbitrary topologies: a Flip-It cyber game approach integrated with epidemic modeling. Information Sciences. 726. 122753–122753.
2.
Ferrag, Mohamed Amine, Mohamed Chahine Ghanem, Iqbal H. Sarker, et al.. (2025). Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. SHILAP Revista de lepidopterología. 25(6). 1666–1666. 10 indexed citations
3.
Yan, Shihao, et al.. (2025). A Survey on Unauthorized UAV Threats to Smart Farming. Drones. 9(4). 251–251. 3 indexed citations
4.
Chau, Chi-Kin, et al.. (2024). Systematic Study of Cybersecurity Threats for Smart Inverters. Australasian Journal of Paramedicine. 669–675. 1 indexed citations
6.
Janicke, Helge, et al.. (2024). Automated Sensor Node Malicious Activity Detection with Explainability Analysis. Sensors. 24(12). 3712–3712. 3 indexed citations
7.
Ahmed, Mohiuddin, et al.. (2024). Zero day ransomware detection with Pulse: Function classification with Transformer models and assembly language. Computers & Security. 148. 104167–104167. 8 indexed citations
8.
Μαγλαράς, Λέανδρος, et al.. (2023). A Novel Authentication Method That Combines Honeytokens and Google Authenticator. Information. 14(7). 386–386. 3 indexed citations
9.
Ahmed, Nadeem, Regio A. Michelin, Wanli Xue, et al.. (2020). A Survey of COVID-19 Contact Tracing Apps. IEEE Access. 8. 134577–134601. 379 indexed citations breakdown →
10.
Koroniotis, Nickolaos, Nour Moustafa, Francesco Schiliro, Praveen Gauravaram, & Helge Janicke. (2020). A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports. IEEE Access. 8. 209802–209834. 84 indexed citations
11.
Μαγλαράς, Λέανδρος, et al.. (2020). A NIS Directive compliant Cybersecurity Maturity Model. DMU Open Research Archive (De Montfort University). 13 indexed citations
12.
Ruano-Ordás, David, et al.. (2019). A Practical Approach to Protect IoT Devices against Attacks and Compile Security Incident Datasets. Scientific Programming. 2019. 1–11. 7 indexed citations
13.
Ferrag, Mohamed Amine, Λέανδρος Μαγλαράς, Sotiris Moschoyiannis, & Helge Janicke. (2019). Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study. Journal of Information Security and Applications. 50. 102419–102419. 630 indexed citations breakdown →
14.
Ferrag, Mohamed Amine, Λέανδρος Μαγλαράς, Helge Janicke, & Richard Smith. (2019). Deep Learning Techniques for Cyber Security Intrusion Detection : A Detailed Analysis. Electronic workshops in computing. 47 indexed citations
15.
Janicke, Helge, Iryna Yevseyeva, Ying He, & Mark Evans. (2018). Analysis of published public sector information security incidents and breaches to establish the proportions of human error. DMU Open Research Archive (De Montfort University). 191–202. 6 indexed citations
16.
Μαγλαράς, Λέανδρος, et al.. (2016). Personalized Students’ Profile Based On Ontology and Rule-based Reasoning. SHILAP Revista de lepidopterología. 3(12). e6–e6. 15 indexed citations
17.
Facchi, Christian, et al.. (2013). RFID systems from a cyber-physical systems perspective. 1–6. 5 indexed citations
18.
Chiclana, Francisco, et al.. (2013). Modelling Execution Tracing Quality by Means of Type-1 Fuzzy Logic. Acta Polytechnica Hungarica. 10(8). 9 indexed citations
19.
Nicholson, Andrew, et al.. (2012). SCADA security in the light of Cyber-Warfare. Computers & Security. 31(4). 418–436. 217 indexed citations
20.
Facchi, Christian, et al.. (2012). Rifidi Toolkit: Virtuality for Testing RFID. 1–6. 3 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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