A. Malathi

682 total citations · 1 hit paper
30 papers, 491 citations indexed

About

A. Malathi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, A. Malathi has authored 30 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in A. Malathi's work include Data Mining Algorithms and Applications (6 papers), Artificial Intelligence in Healthcare (6 papers) and Imbalanced Data Classification Techniques (5 papers). A. Malathi is often cited by papers focused on Data Mining Algorithms and Applications (6 papers), Artificial Intelligence in Healthcare (6 papers) and Imbalanced Data Classification Techniques (5 papers). A. Malathi collaborates with scholars based in India, United Kingdom and Malaysia. A. Malathi's co-authors include S. Revathi, S. Santhosh Baboo, N. Sreenath, Seema Bhardwaj, R. Ramalakshmi, Eugene Cheng‐Xi Aw, P. Rajarajeswari, Vaibhav Gandhi, A. Bhuvanesh and Pope John Paul and has published in prestigious journals such as Wireless Personal Communications, Journal of Testing and Evaluation and Journal of Health Organization and Management.

In The Last Decade

A. Malathi

29 papers receiving 432 citations

Hit Papers

A Detailed Analysis on NSL-KDD Dataset Using Various Mach... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Malathi India 9 342 330 173 67 40 30 491
Xuan Feng China 12 226 0.7× 183 0.6× 185 1.1× 126 1.9× 32 0.8× 33 455
Ravneet Kaur India 10 165 0.5× 216 0.7× 73 0.4× 187 2.8× 33 0.8× 27 394
Mustafa Al‐Fayoumi Jordan 11 175 0.5× 190 0.6× 101 0.6× 177 2.6× 29 0.7× 56 378
R. Rajaram India 11 219 0.6× 271 0.8× 84 0.5× 129 1.9× 10 0.3× 33 445
Morteza Amini Iran 12 255 0.7× 290 0.9× 131 0.8× 175 2.6× 113 2.8× 46 478
Ariel M. Sison Philippines 11 261 0.8× 85 0.3× 68 0.4× 126 1.9× 13 0.3× 105 474
Vivek Shandilya United States 5 92 0.3× 310 0.9× 91 0.5× 270 4.0× 27 0.7× 10 490
Omar Adwan Jordan 11 232 0.7× 144 0.4× 74 0.4× 101 1.5× 40 1.0× 28 415
Carla Merkle Westphall Brazil 12 245 0.7× 364 1.1× 131 0.8× 348 5.2× 82 2.0× 48 588
Haruo Yokota Japan 14 216 0.6× 314 1.0× 98 0.6× 188 2.8× 23 0.6× 107 546

Countries citing papers authored by A. Malathi

Since Specialization
Citations

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

Fields of papers citing papers by A. Malathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Malathi. A scholar is included among the top collaborators of A. Malathi 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. Malathi. A. Malathi 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.
Malathi, A., et al.. (2025). A systematic review of AI-based chatbot usages in healthcare services. Journal of Health Organization and Management. 39(6). 877–899. 3 indexed citations
2.
Malathi, A., R. Ramalakshmi, Vaibhav Gandhi, & A. Bhuvanesh. (2024). Parkinson's disease prediction using improved crayfish optimization based hybrid deep learning. Technology and Health Care. 33(2). 1021–1037. 1 indexed citations
3.
Malathi, A., R. Ramalakshmi, & Vaibhav Gandhi. (2023). Detection of Parkinson disease for handwriting dataset using deep learning algorithms. 1495–1498. 3 indexed citations
4.
Malathi, A., et al.. (2022). Test case prioritization using modified genetic algorithm and ant colony optimization for regression testing. International Journal of Advanced Technology and Engineering Exploration. 9(88). 6 indexed citations
5.
Malathi, A., et al.. (2019). IMPROVED FUZZY ARTIFICIAL NEURAL NETWORK (IFANN) CLASSIFIER FOR CORONARY ARTERY HEART DISEASE PREDICTION IN DIABETES PATIENTS. IJAR - Indian Journal of Applied Research. 4 indexed citations
7.
Malathi, A. & N. Sreenath. (2018). Improved Shuffled Frog-Leaping Algorithm Based QoS Constrained Multicast Routing for Vanets. Wireless Personal Communications. 103(4). 2891–2907. 4 indexed citations
8.
Malathi, A. & N. Sreenath. (2017). Black Hole Attack Prevention and Detection in VANET using Modified DSR Protocol. International Journal of Computer Applications. 168(7). 27–30. 2 indexed citations
9.
Malathi, A., et al.. (2017). Enhanced Artificial Bee Colony Algorithm for Liver Cancer Analysis. Journal of Testing and Evaluation. 46(3). 851–864. 1 indexed citations
10.
Malathi, A.. (2016). A Study on Performance Modelling and Analysis of Network on Chip under M-Port N-Tree Bursty Traffic. International Journal Of Engineering And Computer Science. 1 indexed citations
11.
Malathi, A., et al.. (2016). Semi-Supervised Churn Clustering for Fault and Constraints Prediction in Telecom Industry. Indian Journal of Science and Technology. 9(33). 1 indexed citations
12.
Malathi, A., et al.. (2016). Analysis and visualization of social media networks. 58–63. 13 indexed citations
13.
Malathi, A., et al.. (2014). Fuzzy logic system for risk-level classification of diabetic nephropathy. 1–4. 13 indexed citations
14.
Malathi, A. & P. Rajarajeswari. (2014). An Efficient Enhanced Clustering Algorithm Of Information System For Law Enforcement. International Journal of Engineering Trends and Technology. 8(3). 144–148. 1 indexed citations
15.
Revathi, S. & A. Malathi. (2014). Intrusion Detection Based On Fuzzy Logic Approach Using Simplified Swarm Optimization. International Journal of Computer Trends and Technology. 13(1). 19–22. 1 indexed citations
16.
Malathi, A., et al.. (2014). A SURVEY ON VEHICULAR NETWORK. 1 indexed citations
17.
Malathi, A., et al.. (2013). Investigation of Data Mining Techniques in Fraud Detection: Credit Card. International Journal of Computer Applications. 82(9). 12–15. 1 indexed citations
18.
Malathi, A. & S. Santhosh Baboo. (2011). Enhanced Algorithms to Identify Change in Crime Patterns. Redalyc (Universidad Autónoma del Estado de México). 2(3). 32–38. 8 indexed citations
19.
Malathi, A. & S. Santhosh Baboo. (2011). An Enhanced Algorithm to Predict a Future Crime using Data Mining. International Journal of Computer Applications. 21(1). 1–6. 32 indexed citations
20.
Malathi, A. & S. Santhosh Baboo. (2011). Algorithmic Crime Prediction Model Based on the Analysis of Crime Clusters. 15 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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