Siamak Layeghy

2.6k total citations · 1 hit paper
53 papers, 1.2k citations indexed

About

Siamak Layeghy is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Siamak Layeghy has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 26 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Siamak Layeghy's work include Network Security and Intrusion Detection (25 papers), Internet Traffic Analysis and Secure E-voting (18 papers) and Software-Defined Networks and 5G (13 papers). Siamak Layeghy is often cited by papers focused on Network Security and Intrusion Detection (25 papers), Internet Traffic Analysis and Secure E-voting (18 papers) and Software-Defined Networks and 5G (13 papers). Siamak Layeghy collaborates with scholars based in Australia, Qatar and Oman. Siamak Layeghy's co-authors include Marius Portmann, Mohanad Sarhan, Wai Weng Lo, Marcus Gallagher, Nour Moustafa, Paul B. Colditz, Raja Jurdak, B. Boashash, Mostefa Mesbah and Branislav Kusý and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Expert Systems with Applications.

In The Last Decade

Siamak Layeghy

51 papers receiving 1.1k citations

Hit Papers

E-GraphSAGE: A Graph Neural Network based Intrusion Detec... 2022 2026 2023 2024 2022 50 100 150
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. E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
    2022 170 citations Wai Weng Lo, Siamak Layeghy et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siamak Layeghy Australia 18 820 629 373 157 82 53 1.2k
Jingchao Sun China 19 222 0.3× 231 0.4× 168 0.5× 241 1.5× 117 1.4× 43 788
Kolin Paul India 17 347 0.4× 110 0.2× 93 0.2× 83 0.5× 119 1.5× 123 1.0k
A.K. Majumdar India 12 295 0.4× 230 0.4× 297 0.8× 79 0.5× 26 0.3× 71 795
Muhammet Baykara Türkiye 14 153 0.2× 159 0.3× 145 0.4× 138 0.9× 25 0.3× 53 527
Ashfaq Khokhar United States 17 580 0.7× 233 0.4× 130 0.3× 106 0.7× 24 0.3× 86 1.1k
Anna Gorbenko Russia 19 293 0.4× 392 0.6× 72 0.2× 48 0.3× 30 0.4× 68 835
Ling Gao China 15 364 0.4× 265 0.4× 122 0.3× 232 1.5× 34 0.4× 79 769
Keith Nolan Ireland 13 834 1.0× 251 0.4× 194 0.5× 29 0.2× 19 0.2× 26 1.2k
D. Mutz United States 12 593 0.7× 565 0.9× 395 1.1× 153 1.0× 100 1.2× 26 940
Ahsan Adeel United Kingdom 15 292 0.4× 441 0.7× 229 0.6× 71 0.5× 23 0.3× 35 808

Countries citing papers authored by Siamak Layeghy

Since Specialization
Citations

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

Fields of papers citing papers by Siamak Layeghy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siamak Layeghy

This figure shows the co-authorship network connecting the top 25 collaborators of Siamak Layeghy. A scholar is included among the top collaborators of Siamak Layeghy 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 Siamak Layeghy. Siamak Layeghy 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.
Layeghy, Siamak, et al.. (2025). eX-NIDS: A framework for explainable network intrusion detection leveraging Large Language Models. Computers & Electrical Engineering. 129. 110826–110826. 1 indexed citations
2.
Layeghy, Siamak, et al.. (2025). P4-Secure: In-Band DDoS Detection in Software Defined Networks. IEEE Transactions on Network and Service Management. 22(2). 2120–2137. 1 indexed citations
3.
Grün, Bettina, et al.. (2025). EcoShower: Estimating shower duration using non-intrusive multi-modal sensor data via LSTM and Gated Transformer models. Expert Systems with Applications. 277. 127202–127202. 1 indexed citations
4.
Layeghy, Siamak, et al.. (2024). FlowTransformer: A flexible python framework for flow-based network data analysis. Software Impacts. 22. 100702–100702. 1 indexed citations
5.
Layeghy, Siamak, et al.. (2024). Leveraging LSTM and Reinforcement Learning for Adaptive Sensing in CIoT Nodes. IEEE Transactions on Consumer Electronics. 71(1). 178–188. 1 indexed citations
6.
Layeghy, Siamak & Marius Portmann. (2023). Explainable Cross-domain Evaluation of ML-based Network Intrusion Detection Systems. Computers & Electrical Engineering. 108. 108692–108692. 17 indexed citations
7.
Layeghy, Siamak, et al.. (2023). HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time–frequency representation. Internet of Things. 22. 100816–100816. 5 indexed citations
8.
Sarhan, Mohanad, Siamak Layeghy, Marcus Gallagher, & Marius Portmann. (2023). From zero-shot machine learning to zero-day attack detection. International Journal of Information Security. 22(4). 947–959. 39 indexed citations
9.
Lo, Wai Weng, et al.. (2023). XG-BoT: An explainable deep graph neural network for botnet detection and forensics. Internet of Things. 22. 100747–100747. 42 indexed citations
10.
Layeghy, Siamak, et al.. (2023). Exploring Edge TPU for deep feed-forward neural networks. Internet of Things. 22. 100749–100749. 8 indexed citations
11.
Layeghy, Siamak, et al.. (2023). Exploring edge TPU for network intrusion detection in IoT. Journal of Parallel and Distributed Computing. 179. 104712–104712. 18 indexed citations
12.
Layeghy, Siamak, Mahsa Baktashmotlagh, & Marius Portmann. (2023). DI-NIDS: Domain invariant network intrusion detection system. Knowledge-Based Systems. 273. 110626–110626. 25 indexed citations
13.
Layeghy, Siamak, et al.. (2022). Network Intrusion Detection System in a Light Bulb. 1–8. 5 indexed citations
14.
Mesbah, Mostefa, Mohamed Salah Khlif, Siamak Layeghy, et al.. (2021). Automatic fetal movement recognition from multi-channel accelerometry data. Computer Methods and Programs in Biomedicine. 210. 106377–106377. 23 indexed citations
15.
Layeghy, Siamak, et al.. (2021). FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks. 168–176. 7 indexed citations
16.
Portmann, Marius, et al.. (2018). Flow-level Load Balancing of HTTP Traffic using OpenFlow. Journal of Telecommunications and the Digital Economy. 6(4). 75–95. 1 indexed citations
17.
Layeghy, Siamak, et al.. (2016). Pushing SDN to the end-host, network load balancing using OpenFlow. 1–6. 26 indexed citations
18.
Layeghy, Siamak, et al.. (2016). Link capacity estimation in SDN-based end-hosts. 1–8. 6 indexed citations
19.
Tokariev, Anton, Siamak Layeghy, Mostefa Mesbah, et al.. (2014). Neonatal EEG at scalp is focal and implies high skull conductivity in realistic neonatal head models. NeuroImage. 96. 73–80. 45 indexed citations
20.
Khlif, Mohamed Salah, et al.. (2012). A passive DSP approach to fetal movement detection for monitoring fetal health. Qatar University QSpace (Qatar University). 14 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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