K. Sundarakantham

494 total citations
25 papers, 310 citations indexed

About

K. Sundarakantham is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, K. Sundarakantham has authored 25 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 14 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in K. Sundarakantham's work include Caching and Content Delivery (4 papers), Network Security and Intrusion Detection (4 papers) and Privacy-Preserving Technologies in Data (4 papers). K. Sundarakantham is often cited by papers focused on Caching and Content Delivery (4 papers), Network Security and Intrusion Detection (4 papers) and Privacy-Preserving Technologies in Data (4 papers). K. Sundarakantham collaborates with scholars based in India. K. Sundarakantham's co-authors include S. Mercy Shalinie and M. Karthikeyan and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Computers & Security and Journal of Statistical Computation and Simulation.

In The Last Decade

K. Sundarakantham

19 papers receiving 277 citations

Peers

K. Sundarakantham
K. Sundarakantham
Citations per year, relative to K. Sundarakantham K. Sundarakantham (= 1×) peers Yin Minn Pa Pa

Countries citing papers authored by K. Sundarakantham

Since Specialization
Citations

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

Fields of papers citing papers by K. Sundarakantham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Sundarakantham

This figure shows the co-authorship network connecting the top 25 collaborators of K. Sundarakantham. A scholar is included among the top collaborators of K. Sundarakantham 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 K. Sundarakantham. K. Sundarakantham 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.
Sundarakantham, K., et al.. (2025). Detecting Cyber Threat Using Gen-AI. 845–851.
2.
Sundarakantham, K., et al.. (2024). RISE : Privacy preserved data analytics using Regularized Inference Specific autoEncoder. Engineering Applications of Artificial Intelligence. 133. 108384–108384.
3.
Sundarakantham, K., et al.. (2024). Content Based Classification of Short Messages using Recurrent Neural Networks in NLP. 1–6. 3 indexed citations
4.
Sundarakantham, K., et al.. (2023). A hybrid deep learning framework for privacy preservation in edge computing. Computers & Security. 129. 103209–103209. 6 indexed citations
5.
Sundarakantham, K., et al.. (2021). Cost Effective Decentralized Key Management Framework for IoT. Computer Systems Science and Engineering. 41(3). 1057–1070.
6.
Sundarakantham, K., et al.. (2021). QeCSO: Design of hybrid Cuckoo Search based Query expansion model for efficient information retrieval. Sadhana. 46(3). 4 indexed citations
7.
Sundarakantham, K., et al.. (2020). Design of Cognitive Fog Computing for Autonomic Security System in Critical Infrastructure. JUCS - Journal of Universal Computer Science. 24. 577–602. 4 indexed citations
8.
Sundarakantham, K., et al.. (2020). Anti-negation method for handling negation words in question answering system. The Journal of Supercomputing. 77(5). 4244–4266. 1 indexed citations
9.
Sundarakantham, K., et al.. (2019). Machine Learning Based Intrusion Detection System. 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). 916–920. 118 indexed citations
10.
Sundarakantham, K., et al.. (2019). SSE: Semantic Sentence Embedding for learning user interactions. 1–5. 1 indexed citations
11.
Sundarakantham, K., et al.. (2018). Design of cognitive fog computing for intrusion detection in Internet of Things. Journal of Communications and Networks. 20(3). 291–298. 111 indexed citations
12.
Sundarakantham, K., et al.. (2017). Detecting DDoS attacks using decision tree algorithm. 1–6. 19 indexed citations
13.
Sundarakantham, K., et al.. (2017). Decentralized secure framework for social collaborative Internet of Things. 9. 1–6. 1 indexed citations
14.
Sundarakantham, K., et al.. (2015). Alleviation of Binding Update Re-registration Handoff Latency at Home Agent Failure in MIPv6 Network. International Journal of Computers Communications & Control. 10(4). 463–463. 1 indexed citations
15.
Sundarakantham, K., et al.. (2014). Recommendation system with collaborative social tagging exploration. 2006. 1–6. 1 indexed citations
16.
Sundarakantham, K., et al.. (2014). An automated testing framework for testing Android mobile applications in the cloud. 1216–1219. 19 indexed citations
17.
Sundarakantham, K., et al.. (2014). Performance evaluation of online mobile application using Test My App. 2. 1148–1152. 3 indexed citations
18.
Sundarakantham, K., et al.. (2014). Mobile application testing on smart devices using MTAAS framework in cloud. 2. 1–5. 7 indexed citations
19.
Sundarakantham, K., et al.. (2013). Trust dependence network for recommender systems. 48. 179–184. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026