S. Selvakumar

909 total citations
38 papers, 602 citations indexed

About

S. Selvakumar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, S. Selvakumar has authored 38 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 25 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in S. Selvakumar's work include Network Security and Intrusion Detection (20 papers), Advanced Malware Detection Techniques (11 papers) and Spam and Phishing Detection (9 papers). S. Selvakumar is often cited by papers focused on Network Security and Intrusion Detection (20 papers), Advanced Malware Detection Techniques (11 papers) and Spam and Phishing Detection (9 papers). S. Selvakumar collaborates with scholars based in India, Vietnam and Malaysia. S. Selvakumar's co-authors include P. Arun Raj Kumar, N. G. Bhuvaneswari Amma, C. Siva Ram Murthy, R. Leela Velusamy, Sangeeta Bhattacharya, Pushpita Chatterjee, N. Z. Jhanjhi, V. Sathiyamoorthi, Ashish Kr. Luhach and S. V. Raghavan and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Future Generation Computer Systems.

In The Last Decade

S. Selvakumar

34 papers receiving 549 citations

Peers

S. Selvakumar

CNC

Hadeel Alazzam Jordan

Khair Eddin Sabri Jordan

Hong Hu China

Ang Cui United States

Quang Uy Nguyen Vietnam

Michael Atighetchi United States

Moreno Ambrosin Italy

Matthias Neugschwandtner Austria

Yongzheng Zhang China

R. Rajaram India

Hadeel Alazzam Jordan

S. Selvakumar

392 ×0.8

CNC

331 ×0.8

215 ×0.8

90 ×0.9

19 ×0.4

Citations per year, relative to S. Selvakumar S. Selvakumar (= 1×) peers Hadeel Alazzam

Countries citing papers authored by S. Selvakumar

Since Specialization

Citations

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

Fields of papers citing papers by S. Selvakumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Selvakumar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Selvakumar. A scholar is included among the top collaborators of S. Selvakumar 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 S. Selvakumar. S. Selvakumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Selvakumar, S., et al.. (2025). Enhanced Anomaly Detection in Wireless Sensor Networks Using Isolation Forest, LSTM, and LSTM Autoencode. 1528–1534.

Selvakumar, S., et al.. (2024). Optimized RB-RNN: Development of hybrid deep learning for analyzing student’s behaviours in online-learning using brain waves and chatbots. Expert Systems with Applications. 248. 123267–123267. 3 indexed citations

Amma, N. G. Bhuvaneswari, et al.. (2023). Convolutional neural network based children recognition system using contactless fingerprints. International Journal of Information Technology. 15(5). 2695–2705. 9 indexed citations

Amma, N. G. Bhuvaneswari, et al.. (2023). CLNet: a contactless fingerprint spoof detection using deep neural networks with a transfer learning approach. Multimedia Tools and Applications. 83(9). 27703–27722. 2 indexed citations

Abdullah, A. Sheik, et al.. (2022). Predicting student’s placement prospects using Machine learning Techniques. SSRN Electronic Journal. 3 indexed citations

Amma, N. G. Bhuvaneswari, S. Selvakumar, & R. Leela Velusamy. (2020). A Statistical Approach for Detection of Denial of Service Attacks in Computer Networks. IEEE Transactions on Network and Service Management. 17(4). 2511–2522. 16 indexed citations

Selvakumar, S., et al.. (2020). TextSpamDetector: textual content based deep learning framework for social spam detection using conjoint attention mechanism. Journal of Ambient Intelligence and Humanized Computing. 12(10). 9287–9302. 18 indexed citations

Amma, N. G. Bhuvaneswari & S. Selvakumar. (2020). A statistical class center based triangle area vector method for detection of denial of service attacks. Cluster Computing. 24(1). 393–415. 11 indexed citations

Selvakumar, S., et al.. (2020). CIFAS: Community Inspired Firefly Algorithm with fuzzy cross-entropy for feature selection in Twitter Spam detection. 1–7. 5 indexed citations

10.

Amma, N. G. Bhuvaneswari & S. Selvakumar. (2020). Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment. Future Generation Computer Systems. 113. 255–265. 92 indexed citations

11.

Selvakumar, S., et al.. (2019). GAMEFEST: Genetic Algorithmic Multi Evaluation measure based FEature Selection Technique for social network spam detection. Multimedia Tools and Applications. 79(11-12). 7193–7225. 10 indexed citations

12.

Selvakumar, S., et al.. (2017). An adaptive watermarking technique for context sensitive images to create high quality watermarked images. 4. 300–307. 1 indexed citations

13.

Bhattacharya, Sangeeta & S. Selvakumar. (2015). Multi-Measure Multi-Weight Ranking Approach for the Identification of the Network Features for the Detection of DoS and Probe Attacks. The Computer Journal. 59(6). 923–943. 15 indexed citations

14.

Selvakumar, S., et al.. (2015). Achieving excellence in engineering education through improved teaching-learning process. 17. 246–252. 2 indexed citations

15.

Selvakumar, S., et al.. (2012). Threshold Based Kernel Level HTTP Filter (TBHF) for DDoS Mitigation. International Journal of Computer Network and Information Security. 4(12). 31–39. 5 indexed citations

16.

Kumar, P. Arun Raj & S. Selvakumar. (2012). M2KMIX: Identifying the Type of High Rate Flooding Attacks using a Mixture of Expert Systems. International Journal of Computer Network and Information Security. 4(1). 1–16. 6 indexed citations

17.

Selvakumar, S. & S. V. Raghavan. (1997). Differential priority-based adaptive rate service discipline for QoS guarantee of video stream. Computer Communications. 20(13). 1160–1174. 2 indexed citations

18.

Selvakumar, S. & C. Siva Ram Murthy. (1994). Scheduling precedence constrained task graphs with non-negligible intertask communication onto multiprocessors. IEEE Transactions on Parallel and Distributed Systems. 5(3). 328–336. 41 indexed citations

19.

Selvakumar, S. & C. Siva Ram Murthy. (1993). An efficient heuristic algorithm for mapping parallel programs onto multicomputers. Microprocessing and Microprogramming. 36(2). 83–92. 5 indexed citations

20.

Selvakumar, S. & C. Siva Ram Murthy. (1991). An efficient algorithm for mapping VLSI circuit simulation programs onto multiprocessors. Parallel Computing. 17(9). 1009–1016. 2 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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