M. Rajalakshmi

459 total citations
37 papers, 287 citations indexed

About

M. Rajalakshmi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, M. Rajalakshmi has authored 37 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in M. Rajalakshmi's work include Data Mining Algorithms and Applications (7 papers), Imbalanced Data Classification Techniques (6 papers) and Artificial Intelligence in Healthcare (4 papers). M. Rajalakshmi is often cited by papers focused on Data Mining Algorithms and Applications (7 papers), Imbalanced Data Classification Techniques (6 papers) and Artificial Intelligence in Healthcare (4 papers). M. Rajalakshmi collaborates with scholars based in India, Czechia and Ethiopia. M. Rajalakshmi's co-authors include R. Nedunchezhian, R. Gopalakrishnan, R. Indirajith, T.S. Shyju, M. Palanichamy, Abebaw Mengistu Yohannes, P. Ramasamy, Kaliyaperumal Karunamoorthi, P. Saranya and P. Shanmugavadivu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Crystal Growth and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

In The Last Decade

M. Rajalakshmi

29 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Rajalakshmi India	11	86	55	49	34	33	37	287
Siyi Li China	11	39 0.5×	35 0.6×	20 0.4×	51 1.5×	19 0.6×	47	413
Zhu Canada	9	67 0.8×	21 0.4×	4 0.1×	65 1.9×	10 0.3×	91	389
Hongyan Mao China	10	67 0.8×	50 0.9×	21 0.4×	59 1.7×		35	330
Jun Geng China	12	63 0.7×	35 0.6×	19 0.4×	189 5.6×	3 0.1×	42	486
Yanzhu Ye United States	13	23 0.3×	75 1.4×	24 0.5×	44 1.3×	1 0.0×	34	686
Nico van Dijk Netherlands	11	24 0.3×	4 0.1×	16 0.3×	90 2.6×	44 1.3×	23	409
Ziqiang Cheng China	10	27 0.3×	77 1.4×	23 0.5×	19 0.6×		32	337
Jieling Liu China	10	90 1.0×	35 0.6×	27 0.6×	52 1.5×		30	321
Zhaoran Liu China	12	25 0.3×	85 1.5×	20 0.4×	57 1.7×		34	353
Xiu Susie Fang China	9	33 0.4×	89 1.6×	21 0.4×	42 1.2×	6 0.2×	22	249

Countries citing papers authored by M. Rajalakshmi

Since Specialization

Citations

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

Fields of papers citing papers by M. Rajalakshmi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

Rajalakshmi, M., et al.. (2025). Multi-objective GA-SA (MOGASA) algorithm for TSV and thermal aware 3D IC floorplanning. Case Studies in Thermal Engineering. 74. 106944–106944.

Rajalakshmi, M., et al.. (2025). AI-Driven Cervical Cancer Detection: Autoencoder-Enhanced Model Optimization and Interpretability. 1328–1332.

Nedunchezhian, R., et al.. (2024). Cardiac abnormalities from 12‐Lead ECG signals prediction based on deep convolutional neural network optimized with nomadic people optimization algorithm. International Journal of Adaptive Control and Signal Processing. 38(4). 1136–1152. 4 indexed citations

Swathi, S., et al.. (2023). Deep Learning: A Detailed Analysis Of Various Image Augmentation Techniques. 1–6. 1 indexed citations

Rajalakshmi, M., et al.. (2020). Performance Analysis of Predictive Association Rule Classifiers using Healthcare Datasets. IETE Technical Review. 39(1). 143–156. 5 indexed citations

Manoj, B. S., et al.. (2018). Smart Campus Management Using Android Application. Eurasian Journal of Analytical Chemistry. 13(1). 138–142.

Rajalakshmi, M. & A. P. Gnana Prakash. (2017). MeMLO: Mobility-Enabled Multi-level Optimization Sensor Network. Wireless Personal Communications. 97(4). 5675–5689. 1 indexed citations

Deepa, Mohan, et al.. (2017). Impact of Air Pollution on Respiratory Diseases: Correlation and Classification by Multivariate Data Analysis. 1(1). 4 indexed citations

Sadasivam, G. Sudha, et al.. (2017). Privacy Preserving Fuzzy Association Rule Mining in Data Clusters Using Particle Swarm Optimization. International Journal of Intelligent Information Technologies. 13(2). 1–20. 14 indexed citations

10.

Rajalakshmi, M., et al.. (2016). Road side video surveillance in traffic scenes using map-reduce framework for accident analysis. Biomedical Research-tokyo. 257–266. 4 indexed citations

11.

Sivanandam, S. N., et al.. (2015). A Review on the Performance of Neural Network Classifier in Health Care Diagnostic System. Research Journal of Applied Sciences Engineering and Technology. 11(9). 994–1002. 1 indexed citations

12.

Rajalakshmi, M., et al.. (2015). REEDA: Routing with energy efficiency data aggregation in wireless sensor network. 174–179. 3 indexed citations

13.

Nedunchezhian, R. & M. Rajalakshmi. (2014). IAPI QUAD-FILTER: AN INTERACTIVE AND ADAPTIVE PARTITIONED APPROACH FOR INCREMENTAL FREQUENT PATTERN MINING. 2 indexed citations

14.

Rajalakshmi, M. & A. P. Gnana Prakash. (2014). Energy Optimization for Large Scale Wireless Sensor Network using Real-Time Dynamics. International Journal of Computer Applications. 108(7). 40–46. 2 indexed citations

15.

Vivekanandan, P., M. Rajalakshmi, & R. Nedunchezhian. (2013). An Intelligent Genetic Algorithm for Mining Classification Rules in Large Datasets. Computing and Informatics / Computers and Artificial Intelligence. 32(1). 1–22. 10 indexed citations

16.

Dharumadurai, Dhanasekaran, et al.. (2011). PROBIOTIC EFFECT OF Lactobacillus isolates AGAINST BACTERIAL PATHOGENS IN FRESH WATER FISH. Journal of Coastal Zone Management. 13(2). 103–112. 11 indexed citations

17.

Rajalakshmi, M., T.S. Shyju, R. Indirajith, & R. Gopalakrishnan. (2011). Unidirectional growth of benzil crystal from solution by Sankaranarayanan–Ramasamy method and its characterization. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 86. 27–32. 22 indexed citations

18.

Rajalakshmi, M., R. Indirajith, P. Ramasamy, & R. Gopalakrishnan. (2011). Synthesis, Growth and Characterization of 1H-Benzimidazolium Hydrogen L-Tartrate Dihydrate Single Crystals. Molecular Crystals and Liquid Crystals. 548(1). 126–141. 25 indexed citations

19.

Rajalakshmi, M., R. Indirajith, M. Palanichamy, & R. Gopalakrishnan. (2011). Synthesis, growth, thermal, optical and mechanical properties of 2-Aminopyridinium 4-methylbenzoate Dihydrate. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 84(1). 43–50. 31 indexed citations

20.

Karunamoorthi, Kaliyaperumal, et al.. (2010). HIV/AIDS patient's satisfactory and their expectations with pharmacy service at specialist antiretroviral therapy (ART) units.. PubMed. 13(5). 331–9. 23 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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