Kandaraj Piamrat

1.9k citations
42 papers · 858 indexed · 2 hit papers · h-index 14

Kandaraj Piamrat

38 papers receiving 827 citations

Hit Papers

A Survey on Intelligent Internet of Things:...67202220262023202450100150200

Peers

Kandaraj Piamrat
Comparison fields: 5 of 73
  • Computer Networks and Communications 556
  • Health Informatics 25
  • Artificial Intelligence 413
  • Signal Processing 136
  • Information Systems 99
Replace Ons Aouedi with:
Ons Aouedi France
Gérôme Bovet Switzerland
Guido Marchetto Italy
Aydın Çetin Türkiye
Zuriati Ahmad Zukarnain Malaysia
Naércio Magaia Portugal
Takuro Sato Japan
Tiffany Tuor United Kingdom
Ruichen Zhang China
Jingguo Ge China
Kandaraj Piamrat relative to Ons Aouedi France Ons Aouedi's profile →
Citations per field
00.5×10×15×
Ons Aouedi · 1×
Citations per year

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

The 25 scholars most cited alongside Kandaraj Piamrat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kandaraj Piamrat Line = papers co-authored together Kandaraj Piamrat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20240
5 20246
6 20241
7 202330
8 20238
9 20235
10
Federated Learning for intrusion detection system: Concepts, challenges and future directionsbreakdown →
2022223
11 202227
12 202292
13 202283
14
Network Traffic Classification using Machine Learning for Software Defined Networks
20201
15 20203
16 201812
17 20182
18 20155
19 20111
20
Rate Adaptation Mechanisms for Multimedia Multicasting in Wireless IEEE 802.11 Networks
20091

About Kandaraj Piamrat

Kandaraj Piamrat is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 42 papers that have together received 858 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Advanced Wireless Network Optimization (12 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Mobile Ad Hoc Networks (10 papers), Wireless Networks and Protocols (7 papers), Privacy-Preserving Technologies in Data (7 papers), Software-Defined Networks and 5G (5 papers) and Cooperative Communication and Network Coding (5 papers). The work is most often cited by research in Computer Networks and Communications (556 citations), Health Informatics (25 citations) and Artificial Intelligence (413 citations). Kandaraj Piamrat has collaborated with scholars based in France, Luxembourg and India. Frequent co-authors include Ons Aouedi, César Viho, Kamal Singh, Adlen Ksentini, Alessio Sacco, Jean‐Marie Bonnin, Guido Marchetto, Guillaume Müller, Praveen Kumar Reddy Maddikunta and Mamoun Alazab. Their work appears in journals such as IEEE Communications Surveys & Tutorials, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.

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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