Kandaraj Piamrat

1.9k total citations · 2 hit papers
42 papers, 858 citations indexed

About

Kandaraj Piamrat is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kandaraj Piamrat has authored 42 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Kandaraj Piamrat's work include Network Security and Intrusion Detection (12 papers), Advanced Wireless Network Optimization (12 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). Kandaraj Piamrat is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Advanced Wireless Network Optimization (12 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). Kandaraj Piamrat collaborates with scholars based in France, Luxembourg and India. Kandaraj Piamrat's co-authors include Ons Aouedi, César Viho, Kamal Singh, Adlen Ksentini, Alessio Sacco, Guido Marchetto, Jean‐Marie Bonnin, Guillaume Müller, Thippa Reddy Gadekallu and Sweta Bhattacharya and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.

In The Last Decade

Kandaraj Piamrat

38 papers receiving 827 citations

Hit Papers

Federated Learning for intrusion detection system: Concep... 2022 2026 2023 2024 2022 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kandaraj Piamrat France 14 556 413 231 136 99 42 858
Ons Aouedi France 11 419 0.8× 425 1.0× 91 0.4× 102 0.8× 113 1.1× 23 706
Guido Marchetto Italy 18 705 1.3× 198 0.5× 253 1.1× 34 0.3× 140 1.4× 99 982
Gérôme Bovet Switzerland 12 302 0.5× 446 1.1× 140 0.6× 178 1.3× 130 1.3× 70 764
Aydın Çetin Türkiye 8 269 0.5× 309 0.7× 103 0.4× 108 0.8× 51 0.5× 35 679
Naércio Magaia Portugal 14 337 0.6× 123 0.3× 211 0.9× 37 0.3× 100 1.0× 33 533
J. Amudhavel India 11 239 0.4× 152 0.4× 156 0.7× 34 0.3× 110 1.1× 52 545
Zuriati Ahmad Zukarnain Malaysia 19 869 1.6× 208 0.5× 510 2.2× 34 0.3× 145 1.5× 135 1.3k
Takuro Sato Japan 14 467 0.8× 199 0.5× 611 2.6× 45 0.3× 123 1.2× 90 979
Shameek Bhattacharjee United States 13 283 0.5× 209 0.5× 221 1.0× 51 0.4× 87 0.9× 58 617
Zhaohui Cai China 11 195 0.4× 200 0.5× 206 0.9× 33 0.2× 82 0.8× 38 610

Countries citing papers authored by Kandaraj Piamrat

Since Specialization
Citations

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

Fields of papers citing papers by Kandaraj Piamrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kandaraj Piamrat

This figure shows the co-authorship network connecting the top 25 collaborators of Kandaraj Piamrat. A scholar is included among the top collaborators of Kandaraj Piamrat 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 Kandaraj Piamrat. Kandaraj Piamrat 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
2.
Aouedi, Ons & Kandaraj Piamrat. (2024). SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks. SPIRE - Sciences Po Institutional REpository. 2173–2178. 3 indexed citations
3.
Piamrat, Kandaraj, et al.. (2024). FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning. SPIRE - Sciences Po Institutional REpository. 1–6.
4.
Aouedi, Ons, et al.. (2024). METALS : seMi-supervised fEderaTed Active Learning for intrusion detection Systems. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
5.
Aouedi, Ons & Kandaraj Piamrat. (2024). Toward a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum. IEEE Internet of Things Magazine. 7(5). 14–20. 6 indexed citations
6.
Aouedi, Ons, Thai-Hoc Vu, Alessio Sacco, et al.. (2024). A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. IEEE Communications Surveys & Tutorials. 27(2). 1238–1292. 67 indexed citations breakdown →
7.
Aouedi, Ons & Kandaraj Piamrat. (2023). F-BIDS: Federated-Blending based Intrusion Detection System. Pervasive and Mobile Computing. 89. 101750–101750. 30 indexed citations
8.
9.
Agrawal, Shaashwat, Sagnik Sarkar, Ons Aouedi, et al.. (2022). Federated Learning for intrusion detection system: Concepts, challenges and future directions. Computer Communications. 195. 346–361. 223 indexed citations breakdown →
10.
Aouedi, Ons, Kandaraj Piamrat, & Benoît Parrein. (2022). Intelligent Traffic Management in Next-Generation Networks. Future Internet. 14(2). 44–44. 27 indexed citations
11.
Aouedi, Ons, Alessio Sacco, Kandaraj Piamrat, & Guido Marchetto. (2022). Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions. IEEE Journal of Biomedical and Health Informatics. 27(2). 790–803. 83 indexed citations
12.
Aouedi, Ons, Kandaraj Piamrat, Guillaume Müller, & Kamal Singh. (2022). Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning. ICC 2022 - IEEE International Conference on Communications. 5244–5249. 17 indexed citations
13.
Aouedi, Ons, Kandaraj Piamrat, & Benoît Parrein. (2022). Ensemble-Based Deep Learning Model for Network Traffic Classification. IEEE Transactions on Network and Service Management. 19(4). 4124–4135. 23 indexed citations
14.
Piamrat, Kandaraj, et al.. (2020). Network Traffic Classification using Machine Learning for Software Defined Networks. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
15.
Fouchal, Hacène, et al.. (2018). Efficient queuing scheme through cross-layer approach for multimedia transmission over WSNs. Computer Networks. 134. 272–282. 12 indexed citations
16.
Quang, Pham Tran Anh, Kamal Singh, Juan A. Rodríguez-Aguilar, et al.. (2018). AD3-GLaM: A cooperative distributed QoE-based approach for SVC video streaming over wireless mesh networks. Ad Hoc Networks. 80. 1–15. 2 indexed citations
17.
Quang, Pham Tran Anh, Kandaraj Piamrat, Kamal Singh, & César Viho. (2015). QoE-based routing algorithms for H.264/SVC video over ad-hoc networks. Wireless Networks. 22(7). 2387–2402. 5 indexed citations
18.
Quang, Pham Tran Anh, Kandaraj Piamrat, & César Viho. (2014). QoE-Aware Routing for Video Streaming over VANETs. HAL (Le Centre pour la Communication Scientifique Directe). 1. 1–5. 15 indexed citations
19.
Piamrat, Kandaraj, et al.. (2010). QoE-Aware Scheduling for Video-Streaming in High Speed Downlink Packet Access. SPIRE - Sciences Po Institutional REpository. 1–6. 9 indexed citations
20.
Piamrat, Kandaraj, César Viho, Adlen Ksentini, & Jean‐Marie Bonnin. (2009). Rate Adaptation Mechanisms for Multimedia Multicasting in Wireless IEEE 802.11 Networks. SPIRE - Sciences Po Institutional REpository. 16. 1 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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