R. Nanmaran

421 total citations
16 papers, 107 citations indexed

About

R. Nanmaran is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Neurology. According to data from OpenAlex, R. Nanmaran has authored 16 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 4 papers in Neurology. Recurrent topics in R. Nanmaran's work include Brain Tumor Detection and Classification (4 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Fusion Techniques (3 papers). R. Nanmaran is often cited by papers focused on Brain Tumor Detection and Classification (4 papers), Image and Signal Denoising Methods (3 papers) and Advanced Image Fusion Techniques (3 papers). R. Nanmaran collaborates with scholars based in India, Malaysia and Bangladesh. R. Nanmaran's co-authors include A. S. Vickram, Thanigaivel Sundaram, G. Yamuna, N. Kanagathara, G. Gulothungan, V. Mohanavel, M. Muhibbullah, Alagar Karthick, A.K. Priya and Rohini Karunakaran and has published in prestigious journals such as Frontiers in Medicine, Journal of Biomolecular Structure and Dynamics and Saudi Journal of Biological Sciences.

In The Last Decade

R. Nanmaran

15 papers receiving 100 citations

Peers

R. Nanmaran
R. Nanmaran
Citations per year, relative to R. Nanmaran R. Nanmaran (= 1×) peers Shenghua Cheng

Countries citing papers authored by R. Nanmaran

Since Specialization
Citations

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

Fields of papers citing papers by R. Nanmaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of R. Nanmaran. A scholar is included among the top collaborators of R. Nanmaran 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. Nanmaran. R. Nanmaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
6.
Nanmaran, R., G. Yamuna, Thanigaivel Sundaram, et al.. (2022). Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine. Computational and Mathematical Methods in Medicine. 2022. 1–13. 37 indexed citations
7.
Sundaram, Thanigaivel, A. S. Vickram, K. Anbarasu, et al.. (2021). Ecotoxicological assessment and dermal layer interactions of nanoparticle and its routes of penetrations. Saudi Journal of Biological Sciences. 28(9). 5168–5174. 16 indexed citations
8.
Vickram, A. S., K. Anbarasu, Jeyanthi Palanivelu, et al.. (2021). Identification and Structure Prediction of Human Septin-4 as a Biomarker for Diagnosis of Asthenozoospermic Infertile Patients—Critical Finding Toward Personalized Medicine. Frontiers in Medicine. 8. 723019–723019. 8 indexed citations
9.
Kanagathara, N. & R. Nanmaran. (2021). Illustration of potential energy surface from DFT calculation along with fuzzy logic modelling for optimization of N-acetylglycine. Computational and Theoretical Chemistry. 1202. 113301–113301. 9 indexed citations
12.
Nanmaran, R., et al.. (2020). Wavelet Transform based Multiple Image Watermarking Technique. IOP Conference Series Materials Science and Engineering. 993(1). 12167–12167. 5 indexed citations
13.
Vickram, A. S., et al.. (2020). Characterization of human prostasomes protein Clusterin (macromolecule) – a novel biomarker for male infertility diagnosis and prognosis. Journal of Biomolecular Structure and Dynamics. 40(9). 3979–3988. 7 indexed citations
14.
Vickram, A. S., et al.. (2020). Advanced treatment regimes and application of regenerative medicine for human male infertility treatment. 7(2). 5746–5766. 1 indexed citations
15.
Yamuna, G., et al.. (2020). An Efficient Cancer Classification Model for CT/MRI/PET Fused Images. Current Medical Imaging Formerly Current Medical Imaging Reviews. 17(3). 319–330. 7 indexed citations
16.
Yamuna, G., et al.. (2019). Threshold Based Stochastic Regression Model with Gabor Filter for Segmentation and Random Forest Classification of Lung Cancer. Journal of Computational and Theoretical Nanoscience. 16(4). 1666–1673. 5 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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