A. Kannan

7.9k total citations · 1 hit paper
300 papers, 5.3k citations indexed

About

A. Kannan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, A. Kannan has authored 300 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Computer Networks and Communications, 144 papers in Artificial Intelligence and 92 papers in Information Systems. Recurrent topics in A. Kannan's work include Network Security and Intrusion Detection (55 papers), Energy Efficient Wireless Sensor Networks (36 papers) and Security in Wireless Sensor Networks (33 papers). A. Kannan is often cited by papers focused on Network Security and Intrusion Detection (55 papers), Energy Efficient Wireless Sensor Networks (36 papers) and Security in Wireless Sensor Networks (33 papers). A. Kannan collaborates with scholars based in India, United States and Ethiopia. A. Kannan's co-authors include Sannasi Ganapathy, H. Khanna Nehemiah, R. Logambigai, M. Selvi, K. Kulothungan, Pandi Vijayakumar, L. Jegatha Deborah, S. Geetha, Siva S. Sivatha Sindhu and P. Yogesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

A. Kannan

289 papers receiving 4.9k citations

Hit Papers

A Comprehensive Survey on Machine Learning‐Based Intrusio... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Kannan India 36 2.9k 2.1k 1.1k 978 661 300 5.3k
Thar Baker United Kingdom 44 3.5k 1.2× 2.0k 0.9× 1.3k 1.1× 2.4k 2.4× 733 1.1× 222 6.8k
Saurabh Singh South Korea 29 1.6k 0.6× 1.3k 0.6× 542 0.5× 1.6k 1.6× 484 0.7× 74 4.8k
Ibrahim Khalil Australia 41 2.1k 0.7× 2.5k 1.2× 784 0.7× 1.9k 2.0× 736 1.1× 269 6.2k
Chinmay Chakraborty India 38 1.2k 0.4× 1.4k 0.7× 591 0.5× 830 0.8× 301 0.5× 195 4.5k
Zhikui Chen China 37 1.5k 0.5× 2.1k 1.0× 896 0.8× 890 0.9× 334 0.5× 199 5.3k
Abdu Gumaei Saudi Arabia 33 1.3k 0.5× 1.4k 0.7× 356 0.3× 742 0.8× 526 0.8× 133 4.2k
Sweta Bhattacharya India 30 1.2k 0.4× 1.4k 0.7× 455 0.4× 844 0.9× 323 0.5× 61 4.3k
Nadra Guizani United States 38 2.2k 0.7× 1.2k 0.6× 1.1k 1.0× 1.4k 1.4× 392 0.6× 104 4.4k
Rutvij H. Jhaveri India 35 1.6k 0.5× 1.2k 0.6× 754 0.7× 581 0.6× 318 0.5× 152 3.7k
Burak Kantarcı Canada 39 2.8k 0.9× 1.8k 0.9× 1.8k 1.6× 1.2k 1.3× 528 0.8× 295 6.1k

Countries citing papers authored by A. Kannan

Since Specialization
Citations

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

Fields of papers citing papers by A. Kannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Kannan

This figure shows the co-authorship network connecting the top 25 collaborators of A. Kannan. A scholar is included among the top collaborators of A. Kannan 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 A. Kannan. A. Kannan 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.
Muthurajkumar, S., et al.. (2024). Symmetric key and polynomial-based key generation mechanism for secured data communications in 5G networks. Soft Computing. 30(2). 935–950. 5 indexed citations
2.
Nehemiah, H. Khanna, et al.. (2023). Intelligent Mining of Association Rules Based on Nanopatterns for Code Smells Detection. Scientific Programming. 2023. 1–18. 4 indexed citations
3.
Kumar, S. V. N. Santhosh, M. Selvi, & A. Kannan. (2023). A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things. Computational Intelligence and Neuroscience. 2023(1). 76 indexed citations breakdown →
4.
Narayanan, Manikandan, Gayathri Ananthakrishnan, M. K. Nallakaruppan, et al.. (2023). A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks. Sensors. 23(14). 6274–6274. 19 indexed citations
5.
Muthurajkumar, S., et al.. (2020). Secured Data Storage and Retrieval using Elliptic Curve Cryptography in Cloud. The International Arab Journal of Information Technology. 18(1). 10 indexed citations
6.
Sreejith, S., H. Khanna Nehemiah, & A. Kannan. (2020). Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection. Computers in Biology and Medicine. 126. 103991–103991. 70 indexed citations
7.
Thangaramya, K., K. Kulothungan, R. Logambigai, et al.. (2019). Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT. Computer Networks. 151. 211–223. 245 indexed citations
8.
SaiRamesh, L., et al.. (2017). Mining Target Opinions from Online Reviews Using Semi-supervised Word Alignment Model. 196–200. 8 indexed citations
9.
Kannan, A., et al.. (2017). Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework. Computational Statistics & Data Analysis. 112. 63–79. 15 indexed citations
10.
Kannan, A., et al.. (2017). Analysis and performance evaluation of cosine neighbourhood recommender system.. The International Arab Journal of Information Technology. 14. 747–754. 2 indexed citations
11.
Kulothungan, K., et al.. (2017). A Novel Trust Based Routing Protocol to prevent the Malicious Nodes in Wireless Sensor Networks. 111–115. 1 indexed citations
12.
Shanmugapriya, M., et al.. (2017). Fuzzy Discretization based Classification of Medical Data. Research Journal of Applied Sciences Engineering and Technology. 14(8). 291–298. 5 indexed citations
13.
Kannan, A., et al.. (2017). A bio-statistical mining approach for classifying multivariate clinical time series data observed at irregular intervals. Expert Systems with Applications. 78. 283–300. 16 indexed citations
14.
Kannan, A., et al.. (2016). Patient-Specific Model Based Segmentation of Lung Computed Tomographic Images.. Journal of information science and engineering. 32. 1373–1394. 8 indexed citations
15.
Kannan, A., et al.. (2016). Energy Efficient XPath Query Processing on Wireless XML Streaming Data. Computing and Informatics / Computers and Artificial Intelligence. 34(6). 1289–1308.
16.
El-Aziz, A. A. Abd & A. Kannan. (2014). JSON encryption. 8 indexed citations
17.
Kannan, A., et al.. (2014). Improved cross site scripting filter for input validation against attacks in web services. SHILAP Revista de lepidopterología. 41(2). 175–203. 1 indexed citations
18.
Jaisankar, N., et al.. (2014). Frequent Itemsets Generation using Efficient Utility Mining Algorithm. International Review on Computers and Software (IRECOS). 9(6). 1049–1054.
19.
Vijayakumar, Pandi, Sanjay K. Bose, & A. Kannan. (2012). Centralized key distribution protocol using the greatest common divisor method. Computers & Mathematics with Applications. 65(9). 1360–1368. 42 indexed citations
20.
Senthilkumar, Radha, et al.. (2007). Query optimization for inter document relationships in XML structured document. Computational intelligence. 2. 25–32. 3 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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