Kannan Kirthivasan

607 total citations
11 papers, 400 citations indexed

About

Kannan Kirthivasan is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Kannan Kirthivasan has authored 11 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Information Systems and 5 papers in Artificial Intelligence. Recurrent topics in Kannan Kirthivasan's work include Anomaly Detection Techniques and Applications (4 papers), Rough Sets and Fuzzy Logic (4 papers) and Caching and Content Delivery (3 papers). Kannan Kirthivasan is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Rough Sets and Fuzzy Logic (4 papers) and Caching and Content Delivery (3 papers). Kannan Kirthivasan collaborates with scholars based in India, United Kingdom and Singapore. Kannan Kirthivasan's co-authors include V. S. Shankar Sriram, Nivethitha Somu, M. R. Gauthama Raman, Ramiro Liscano, R. Muthaiah, Nachiappan Chockalingam, Rengarajan Amirtharajan and Panagiotis Chatzistergos and has published in prestigious journals such as Neural Networks, Knowledge-Based Systems and Future Generation Computer Systems.

In The Last Decade

Kannan Kirthivasan

11 papers receiving 380 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kannan Kirthivasan 251 228 126 86 46 11 400
Le Gruenwald 195 0.8× 155 0.7× 124 1.0× 76 0.9× 53 1.2× 44 418
Aman Jantan 185 0.7× 241 1.1× 147 1.2× 160 1.9× 42 0.9× 38 434
Claudio Sartori 146 0.6× 288 1.3× 79 0.6× 77 0.9× 16 0.3× 55 388
Moheb R. Girgis 146 0.6× 138 0.6× 274 2.2× 75 0.9× 15 0.3× 31 467
Anastasios Gounaris 196 0.8× 146 0.6× 156 1.2× 62 0.7× 9 0.2× 58 380
Antonios Deligiannakis 270 1.1× 254 1.1× 96 0.8× 151 1.8× 35 0.8× 40 468
Terence Parr 80 0.3× 226 1.0× 185 1.5× 33 0.4× 67 1.5× 16 461
Yunguo Guan 178 0.7× 430 1.9× 174 1.4× 114 1.3× 43 0.9× 54 594
Abdullah Bawakid 118 0.5× 259 1.1× 74 0.6× 63 0.7× 18 0.4× 12 329
Shuxin Yang 101 0.4× 140 0.6× 58 0.5× 36 0.4× 19 0.4× 46 303

Countries citing papers authored by Kannan Kirthivasan

Since Specialization
Citations

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

Fields of papers citing papers by Kannan Kirthivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kannan Kirthivasan

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

All Works

11 of 11 papers shown
1.
Muthaiah, R., et al.. (2024). A Systematic Survey on Segmentation Algorithms for Musculoskeletal Tissues in Ultrasound Imaging. Archives of Computational Methods in Engineering. 32(3). 1335–1368. 1 indexed citations
2.
Kirthivasan, Kannan, et al.. (2023). An image cipher based on bio-molecular hyper chaotic system with dual diffusion scheme. Multimedia Tools and Applications. 83(14). 40629–40655. 5 indexed citations
3.
Raman, M. R. Gauthama, et al.. (2019). An Improved Rough Set Theory based Feature Selection Approach for Intrusion Detection in SCADA Systems. Journal of Intelligent & Fuzzy Systems. 36(5). 3993–4003. 12 indexed citations
4.
Somu, Nivethitha, et al.. (2018). An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection. Neural Networks. 108. 339–354. 26 indexed citations
5.
Somu, Nivethitha, M. R. Gauthama Raman, Kannan Kirthivasan, & V. S. Shankar Sriram. (2018). A trust centric optimal service ranking approach for cloud service selection. Future Generation Computer Systems. 86. 234–252. 37 indexed citations
6.
Raman, M. R. Gauthama, Nivethitha Somu, Kannan Kirthivasan, & V. S. Shankar Sriram. (2017). A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems. Neural Networks. 92. 89–97. 59 indexed citations
7.
Somu, Nivethitha, Kannan Kirthivasan, & V. S. Shankar Sriram. (2017). A rough set-based hypergraph trust measure parameter selection technique for cloud service selection. The Journal of Supercomputing. 73(10). 4535–4559. 22 indexed citations
8.
Raman, M. R. Gauthama, Kannan Kirthivasan, & V. S. Shankar Sriram. (2017). Development of Rough Set – Hypergraph Technique for Key Feature Identification in Intrusion Detection Systems. Computers & Electrical Engineering. 59. 189–200. 18 indexed citations
9.
Raman, M. R. Gauthama, Nivethitha Somu, Kannan Kirthivasan, Ramiro Liscano, & V. S. Shankar Sriram. (2017). An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine. Knowledge-Based Systems. 134. 1–12. 160 indexed citations
10.
Somu, Nivethitha, M. R. Gauthama Raman, Kannan Kirthivasan, & V. S. Shankar Sriram. (2016). Hypergraph Based Feature Selection Technique for Medical Diagnosis. Journal of Medical Systems. 40(11). 239–239. 24 indexed citations
11.
Somu, Nivethitha, Kannan Kirthivasan, & V. S. Shankar Sriram. (2016). A computational model for ranking cloud service providers using hypergraph based techniques. Future Generation Computer Systems. 68. 14–30. 36 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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