Kannan Kirthivasan

610 total citations
11 papers, 447 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 447 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 Rough Sets and Fuzzy Logic (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Caching and Content Delivery (3 papers). Kannan Kirthivasan is often cited by papers focused on Rough Sets and Fuzzy Logic (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Caching and Content Delivery (3 papers). Kannan Kirthivasan collaborates with scholars based in India, Canada and Singapore. Kannan Kirthivasan's co-authors include V. S. Shankar Sriram, Nivethitha Somu, M. R. Gauthama Raman, Ramiro Liscano, Nachiappan Chockalingam, R. Muthaiah, 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 419 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kannan Kirthivasan India 9 283 257 136 97 47 11 447
Claudio Sartori Italy 14 201 0.7× 375 1.5× 108 0.8× 99 1.0× 21 0.4× 66 518
R. Rajaram India 11 271 1.0× 219 0.9× 129 0.9× 84 0.9× 22 0.5× 33 445
Changjie Tang China 11 100 0.4× 239 0.9× 110 0.8× 93 1.0× 52 1.1× 80 445
Abdullah Bawakid Saudi Arabia 7 149 0.5× 315 1.2× 112 0.8× 80 0.8× 19 0.4× 13 422
Mohammed Otair Jordan 10 210 0.7× 298 1.2× 79 0.6× 78 0.8× 21 0.4× 42 497
Ja’far Alqatawna Jordan 12 198 0.7× 279 1.1× 272 2.0× 86 0.9× 18 0.4× 41 507
V. S. Ananthanarayana India 12 198 0.7× 188 0.7× 282 2.1× 33 0.3× 71 1.5× 62 472
Shoushan Luo China 13 346 1.2× 401 1.6× 251 1.8× 121 1.2× 23 0.5× 67 622
Katarzyna Wasielewska Poland 9 241 0.9× 146 0.6× 150 1.1× 80 0.8× 8 0.2× 33 371
Nikita Schmidt Ireland 4 301 1.1× 188 0.7× 205 1.5× 28 0.3× 18 0.4× 13 442

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. 6 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. 14 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. 27 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. 38 indexed citations
6.
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. 19 indexed citations
7.
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. 73 indexed citations
8.
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. 23 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. 180 indexed citations
10.
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. 39 indexed citations
11.
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. 27 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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2026