R. Malmathanraj

433 total citations
31 papers, 315 citations indexed

About

R. Malmathanraj is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, R. Malmathanraj has authored 31 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Analytical Chemistry. Recurrent topics in R. Malmathanraj's work include Smart Agriculture and AI (18 papers), Spectroscopy and Chemometric Analyses (8 papers) and Date Palm Research Studies (4 papers). R. Malmathanraj is often cited by papers focused on Smart Agriculture and AI (18 papers), Spectroscopy and Chemometric Analyses (8 papers) and Date Palm Research Studies (4 papers). R. Malmathanraj collaborates with scholars based in India and Singapore. R. Malmathanraj's co-authors include P. Palanisamy, Asutosh Mohapatra, S. Shanmugasundaram, S. Thamarai Selvi, M. Arun, Rohit Mohan, Dharmendra Kumar, S. Umamaheswari and Varsha Singh and has published in prestigious journals such as Computers and Electronics in Agriculture, Multimedia Tools and Applications and Ecological Informatics.

In The Last Decade

R. Malmathanraj

29 papers receiving 299 citations

Peers

R. Malmathanraj
Liangquan Jia China
Kezhu Tan China
Guowei Dai China
Jingchao Fan China
Shiyun Wa China
Huaji Zhu China
Guofeng Yang China
S. K. Bodhe India
Qian Yan China
V G Narendra India
Liangquan Jia China
R. Malmathanraj
Citations per year, relative to R. Malmathanraj R. Malmathanraj (= 1×) peers Liangquan Jia

Countries citing papers authored by R. Malmathanraj

Since Specialization
Citations

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

Fields of papers citing papers by R. Malmathanraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Malmathanraj

This figure shows the co-authorship network connecting the top 25 collaborators of R. Malmathanraj. A scholar is included among the top collaborators of R. Malmathanraj 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 R. Malmathanraj. R. Malmathanraj 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.
Singh, Varsha, et al.. (2025). Multi-scale Attention Residual Convolution Neural Network for Single Image Super Resolution (MSARCNN). Digital Signal Processing. 168. 105614–105614.
2.
Malmathanraj, R., et al.. (2024). Empirical Analysis of Squeeze and Excitation-Based Densely Connected CNN for Chili Leaf Disease Identification. IEEE Transactions on Artificial Intelligence. 5(4). 1681–1692. 4 indexed citations
3.
Palanisamy, P., et al.. (2024). Disrupted Brain Network Measures in Parkinson’s Disease Patients with Severe Hyposmia and Cognitively Normal Ability. Brain Sciences. 14(7). 685–685. 3 indexed citations
4.
Malmathanraj, R., et al.. (2024). Lightweight deep and cross residual skip connection separable CNN for plant leaf diseases classification. Journal of Electronic Imaging. 33(3).
5.
Malmathanraj, R., et al.. (2023). Optimized Residual Parallel Separable Convolution Layers for Pest Classification. SN Computer Science. 4(6). 2 indexed citations
6.
Malmathanraj, R., et al.. (2022). Detection and classification of chilli leaf disease using a squeeze-and-excitation-based CNN model. Ecological Informatics. 69. 101663–101663. 69 indexed citations
7.
Malmathanraj, R., et al.. (2022). An efficient densely connected convolutional neural network for identification of plant diseases. Multimedia Tools and Applications. 81(23). 32791–32816. 20 indexed citations
8.
Malmathanraj, R., et al.. (2020). Yield Estimation of Chilli Crop using Image Processing Techniques. 200–204. 14 indexed citations
9.
10.
Malmathanraj, R., et al.. (2020). An Indirect Method to Estimate Sweet Lime Weight through Machine Learning Algorithm. 194–198. 5 indexed citations
11.
Malmathanraj, R., et al.. (2019). Clustered ANFIS weighing models for sweet lime (Citrus limetta) using computer vision system. Journal of Food Process Engineering. 42(6). 17 indexed citations
12.
Malmathanraj, R., et al.. (2019). Fractional fuzzy 2DLDA approach for pomegranate fruit grade classification. Computers and Electronics in Agriculture. 162. 95–105. 22 indexed citations
13.
Malmathanraj, R., et al.. (2018). Detecting anomalous growth of skin lesion using threshold-based segmentation algorithm and Fuzzy K-Nearest Neighbor classifier. Journal of Cancer Research and Therapeutics. 16(1). 40–40. 18 indexed citations
14.
Malmathanraj, R., et al.. (2013). Mammogram tumour classification using modified segmentation techniques. International Journal of Biomedical Engineering and Technology. 13(3). 218–218. 7 indexed citations
15.
Malmathanraj, R., et al.. (2012). Document Clustering using Learning from Examples. International Journal of Computer Applications. 39(12). 17–24. 2 indexed citations
16.
Malmathanraj, R., et al.. (2012). Performance Analysis of Independent Component Analysis Algorithms for Multi-user Detection of DS-CDMA. International Journal of Computer Applications. 39(11). 34–37. 3 indexed citations
17.
Malmathanraj, R. & M. Arun. (2012). A distributed e-healthcare system for patient monitoring and diagnosis. 30. 71–77. 5 indexed citations
18.
Selvi, S. Thamarai & R. Malmathanraj. (2011). Mammogram tumour classification using Q learning. International Journal of Biomedical Engineering and Technology. 7(4). 339–339. 6 indexed citations
19.
20.
Selvi, S. Thamarai & R. Malmathanraj. (2007). Missile Defence and Interceptor Allocation by LVQ-RBFMulti-agent Hybrid Architecture. Defence Science Journal. 57(2). 173–183. 1 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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