M. Nalini

489 total citations
40 papers, 156 citations indexed

About

M. Nalini is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, M. Nalini has authored 40 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in M. Nalini's work include Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (4 papers) and Data Stream Mining Techniques (4 papers). M. Nalini is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Anomaly Detection Techniques and Applications (4 papers) and Data Stream Mining Techniques (4 papers). M. Nalini collaborates with scholars based in India, United States and Thailand. M. Nalini's co-authors include B. Yamini, R. Sıva Subramanıan, M. Anuradha, J. Rene Beulah, B. Uma Maheswari, Viktor K. Prasanna, G. Kavitha, K. Thinakaran, T. Rajendran and B. Uma Maheswari and has published in prestigious journals such as Biomedical Signal Processing and Control, The Computer Journal and Wireless Personal Communications.

In The Last Decade

M. Nalini

31 papers receiving 147 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Nalini India 7 52 51 26 26 23 40 156
Pramod Singh Rathore India 6 74 1.4× 31 0.6× 25 1.0× 10 0.4× 15 0.7× 35 154
Mohit Kumar India 7 41 0.8× 63 1.2× 68 2.6× 13 0.5× 14 0.6× 30 170
Malathy Sathyamoorthy India 10 67 1.3× 35 0.7× 30 1.2× 31 1.2× 8 0.3× 43 233
R. Revathi India 6 15 0.3× 23 0.5× 6 0.2× 30 1.2× 9 0.4× 52 130
Noreen Kausar Malaysia 5 34 0.7× 58 1.1× 7 0.3× 40 1.5× 14 0.6× 6 125
Jagadish S. Kallimani India 11 36 0.7× 135 2.6× 25 1.0× 30 1.2× 5 0.2× 33 223
Mateusz Lango Poland 8 11 0.2× 157 3.1× 25 1.0× 10 0.4× 28 1.2× 16 240
José Aveleira‐Mata Spain 7 133 2.6× 105 2.1× 23 0.9× 8 0.3× 40 1.7× 14 234
B. V. Ramana India 5 23 0.4× 153 3.0× 46 1.8× 29 1.1× 136 5.9× 15 259
Rituraj Jain India 6 26 0.5× 26 0.5× 22 0.8× 9 0.3× 3 0.1× 38 105

Countries citing papers authored by M. Nalini

Since Specialization
Citations

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

Fields of papers citing papers by M. Nalini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Nalini

This figure shows the co-authorship network connecting the top 25 collaborators of M. Nalini. A scholar is included among the top collaborators of M. Nalini 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 M. Nalini. M. Nalini 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.
Yamini, B., et al.. (2024). Optimizing Prediction Accuracy in High-Dimensional Data: Comparative Analysis of Feature Selection Methods with Naive Bayes Algorithm. International Journal of Electronics and Communication Engineering. 11(3). 41–52. 6 indexed citations
2.
Ramesh, Pushkal Sinduvadi, et al.. (2024). Machine Learning Strategies for Customer Churn Prediction in Competitive Enterprises. 653–660.
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Nalini, M., et al.. (2024). Machine Learning Approaches for Liver Disease Prediction: A Comparative Analysis. 159–164. 1 indexed citations
7.
Yamini, B., Viktor K. Prasanna, M. Anuradha, et al.. (2023). A Comprehensive Survey of Deep Learning: Advancements, Applications, and Challenges. International Journal on Recent and Innovation Trends in Computing and Communication. 11(8s). 445–453. 5 indexed citations
8.
Yamini, B., et al.. (2023). Knowledge Base Learning Portal For Organization. 1679–1682. 1 indexed citations
9.
Yamini, B., et al.. (2023). Secured Voting System based on Blockchain. 1317–1322.
10.
Yamini, B., et al.. (2023). Predictive Modelling for Lung Cancer Detection using Machine Learning Techniques. 1220–1226. 8 indexed citations
11.
Nalini, M., et al.. (2023). Cloud-based Smart Water Management System. 1633–1638. 2 indexed citations
12.
Nalini, M., et al.. (2023). Collaborative Filtering for Bargaining and Customer Feedback in E-Commerce. 1804–1808. 1 indexed citations
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Nalini, M., et al.. (2022). Detection of cyber attacks using machine learning. AIP conference proceedings. 2459. 30003–30003. 4 indexed citations
15.
Nalini, M., et al.. (2022). Early diagnosis and monitoring of sleep apnea using desaturation index and respiration percentage. AIP conference proceedings. 2459. 20015–20015. 1 indexed citations
16.
Nalini, M., et al.. (2022). An Improved Temporal Pattern Analysis to Detect the Cotton Leaf Disease using Mobile Net And CNN. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). 1106–1109. 6 indexed citations
17.
Yamini, B., et al.. (2021). An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine. Concurrency and Computation Practice and Experience. 34(10). 33 indexed citations
18.
Thinakaran, K., et al.. (2020). Predicting the 2-dimensional airfoil by usingmachine learning methods. 5(3). 291. 3 indexed citations
19.
Nalini, M., et al.. (2019). Digital Risk Management for Data Attacks against State Evaluation. International Journal of Innovative Technology and Exploring Engineering. 8(9S4). 197–201. 7 indexed citations
20.
Nalini, M., et al.. (2016). Elimination of Data Redundancy before Persisting into DBMS using SVM Classification. International Journal of Engineering Research and. V5(3).

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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