Selvakumar Manickam

5.2k citations
208 papers · 3.0k · 2 hit papers · h-index 33

Impact in

Papers in

Selvakumar Manickam

198 papers receiving 2.9k citations

Selvakumar Manickam's Hit Papers

Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review 2025 · 21 citations
210+1+2Years since publication255075

Peers

Selvakumar Manickam
Comparison fields: 5 of 114
  • Computer Networks and Communications 1.9k
  • Signal Processing 593
  • Artificial Intelligence 1.1k
  • Information Systems 759
  • Electrical and Electronic Engineering 1.1k
Replace Dijiang Huang with:
Dijiang Huang United States
Xinwen Fu United States
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Andrei Gurtov Finland
Vijay Sivaraman Australia
Saqib Hakak Canada
Azzam Mourad Lebanon
Qi Shi United Kingdom
Raheem Beyah United States
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Citations per field
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Dijiang Huang · 1×
Citations per year

Countries citing papers authored by Selvakumar Manickam

Since Specialization
Citations

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

Fields of papers citing papers by Selvakumar Manickam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Selvakumar Manickam, 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 Selvakumar Manickam Line = papers co-authored together Selvakumar Manickam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012128
2 2020115
3
Machine Learning Techniques to Detect a DDoS Attack in SDN: A Systematic Review
Hit paper breakdown →
202394
4 202368
5 202063
6 202257
7 202357
8 202157
9 202255
10 202349
11 202146
12 202245
13 202345
14 202144
15 202144
16 202343
17 202141
18 202241
19 202240
20 202338

About Selvakumar Manickam

Selvakumar Manickam is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Signal Processing, having authored 208 papers that have together received 3.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (83 papers), Advanced Malware Detection Techniques (43 papers), Internet Traffic Analysis and Secure E-voting (41 papers), Vehicular Ad Hoc Networks (VANETs) (34 papers), IoT and Edge/Fog Computing (30 papers), Advanced Authentication Protocols Security (18 papers), IPv6, Mobility, Handover, Networks, Security (18 papers) and Network Packet Processing and Optimization (17 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Signal Processing (593 citations), Artificial Intelligence (1.1k citations), Information Systems (759 citations) and Electrical and Electronic Engineering (1.1k citations). Selvakumar Manickam has collaborated with scholars based in Malaysia, Iraq and Saudi Arabia. Frequent co-authors include ‪Mahmood A. Al-Shareeda‬‏, Mohammed Anbar, Iznan H. Hasbullah, Shankar Karuppayah, Shafiq Ul Rehman, Yung-Wey Chong, Shams Ul Arfeen Laghari, Esraa Saleh Alomari, Tariq Emad Ali and Murtaja Ali Saare. Their work appears in journals such as IEEE Access, Sensors, PLoS ONE, Applied Sciences and Sustainability.

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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