K. Muneeswaran

582 total citations
24 papers, 408 citations indexed

About

K. Muneeswaran is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, K. Muneeswaran has authored 24 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 9 papers in Information Systems. Recurrent topics in K. Muneeswaran's work include Web Data Mining and Analysis (5 papers), Text and Document Classification Technologies (5 papers) and Spam and Phishing Detection (3 papers). K. Muneeswaran is often cited by papers focused on Web Data Mining and Analysis (5 papers), Text and Document Classification Technologies (5 papers) and Spam and Phishing Detection (3 papers). K. Muneeswaran collaborates with scholars based in United States and India. K. Muneeswaran's co-authors include T. Revathi, K. Ramar, Ganesh Chandrasekaran, K. Vijayalakshmi, R. Uma, B. Lakshmanan, M. Bhuvaneswari and G. Priyanka and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

K. Muneeswaran

21 papers receiving 360 citations

Peers

Countries citing papers authored by K. Muneeswaran

Since Specialization

Citations

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

Fields of papers citing papers by K. Muneeswaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of K. Muneeswaran. A scholar is included among the top collaborators of K. Muneeswaran 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. Muneeswaran. K. Muneeswaran 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

#	Work	Indexed citations
1	Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks 2025 ·Scientific Reports ·(unknown), (unknown), K. Muneeswaran, B. Lakshmanan	4
2	Feature selection using hybrid poor and rich optimization algorithm for text classification 2021 ·Pattern Recognition Letters ·(unknown), K. Muneeswaran	30
3	A Systematic Approach for Assessment of Attainment in Outcome-based Education 2021 ·(unknown), Ganesh Chandrasekaran, (unknown), K. Muneeswaran	13
4	A hybrid approach for text document clustering using Jaya optimization algorithm 2021 ·Expert Systems with Applications ·(unknown), K. Muneeswaran	29
5	Feature Selection for Text Classification Using Machine Learning Approaches 2021 ·National Academy Science Letters ·(unknown), K. Muneeswaran	18
6	An application of text mining techniques and outcome based education: student recruitment system 2021 ·Journal of Ambient Intelligence and Humanized Computing ·(unknown), K. Muneeswaran	6
7	An elitism based self-adaptive multi-population Poor and Rich optimization algorithm for grouping similar documents 2021 ·Journal of Ambient Intelligence and Humanized Computing ·(unknown), K. Muneeswaran	6
8	Automatic Caption Generation from Images Based on Facial Emotions 2020 ·International Journal of Recent Technology and Engineering (IJRTE) ·G. Priyanka, T. Revathi, K. Muneeswaran, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	1
9	User Community Detection From Web Server Log Using Between User Similarity Metric 2020 ·International Journal of Computational Intelligence Systems ·M. Bhuvaneswari, K. Muneeswaran	1
10	Optimal feature subset selection using hybrid binary Jaya optimization algorithm for text classification 2020 ·Sadhana ·(unknown), K. Muneeswaran	26
11	Firefly algorithm based feature selection for network intrusion detection 2018 ·Computers & Security ·(unknown), K. Muneeswaran	212
12	Big Data Processing With Hadoop 2018 ·T. Revathi, K. Muneeswaran, (unknown)	2
13	Multi-view clustering of clinical documents based on conditions and medical responses of patients 2016 ·(unknown), (unknown), K. Muneeswaran	3
14	Multi-constraint multi-objective QoS aware routing heuristics for query driven sensor networks using fuzzy soft sets 2016 ·Applied Soft Computing ·(unknown), T. Revathi, K. Muneeswaran	13
15	Reconstruction of user sessions from Web server log 2015 ·(unknown), M. Bhuvaneswari, K. Muneeswaran	0
16	Detection of Intruders in Wireless SensorNetworks Using Anomaly 2014 ·International Journal of Innovative Research in Science Engineering and Technology ·(unknown), K. Muneeswaran	0
17	INTRUSION DETECTION IN MULTITIER WEB APPLICATIONS 2014 ·(unknown), K. Muneeswaran	1
18	Heuristic routing with bandwidth and energy constraints in sensor networks 2014 ·Applied Soft Computing ·(unknown), T. Revathi, K. Muneeswaran, K. Vijayalakshmi	6
19	Mining intensional information for answering XML-queries using tree-based association rules approach 2013 ·(unknown), (unknown), K. Muneeswaran, (unknown)	1
20	Fuzzy enabled congestion control for Differentiated Services Networks 2011 ·Applied Soft Computing ·T. Revathi, K. Muneeswaran, K. Ramar	4

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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