P. Manimegalai

1.1k total citations
96 papers, 686 citations indexed

About

P. Manimegalai is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, P. Manimegalai has authored 96 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 17 papers in Biomedical Engineering and 16 papers in Artificial Intelligence. Recurrent topics in P. Manimegalai's work include Retinal Imaging and Analysis (12 papers), Digital Imaging for Blood Diseases (9 papers) and Glaucoma and retinal disorders (8 papers). P. Manimegalai is often cited by papers focused on Retinal Imaging and Analysis (12 papers), Digital Imaging for Blood Diseases (9 papers) and Glaucoma and retinal disorders (8 papers). P. Manimegalai collaborates with scholars based in India, Saudi Arabia and Iraq. P. Manimegalai's co-authors include C. Narmatha, S. Manimurugan, S. Thamarai Selvi, K. Ramar, P. Ajay, Suchart Siengchin, G. Rajeshkumar, Sanjay Mavinkere Rangappa, K. R. Sumesh and S. N. Sivanandam and has published in prestigious journals such as Journal of Theoretical Biology, Applied Soft Computing and Pattern Recognition Letters.

In The Last Decade

P. Manimegalai

89 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Manimegalai India 14 172 132 108 103 85 96 686
Reza Azmi Iran 16 260 1.5× 163 1.2× 79 0.7× 260 2.5× 58 0.7× 86 709
Khaled Mohamad Almustafa Saudi Arabia 14 78 0.5× 184 1.4× 77 0.7× 198 1.9× 70 0.8× 56 660
Marwa Obayya Saudi Arabia 15 172 1.0× 62 0.5× 191 1.8× 283 2.7× 57 0.7× 78 725
Feng Yang China 15 249 1.4× 93 0.7× 73 0.7× 253 2.5× 102 1.2× 87 796
A. Ahilan India 15 264 1.5× 97 0.7× 101 0.9× 195 1.9× 118 1.4× 74 835
Sandeep Kumar Mathivanan India 17 244 1.4× 55 0.4× 216 2.0× 310 3.0× 69 0.8× 99 929
P. Karthigaikumar India 16 381 2.2× 70 0.5× 79 0.7× 286 2.8× 138 1.6× 60 948
I Ketut Eddy Purnama Indonesia 16 308 1.8× 71 0.5× 132 1.2× 220 2.1× 189 2.2× 187 996
Sherin M. Youssef Egypt 12 230 1.3× 28 0.2× 96 0.9× 135 1.3× 50 0.6× 63 610
Abdullah Alqahtani Saudi Arabia 16 241 1.4× 118 0.9× 167 1.5× 317 3.1× 94 1.1× 95 951

Countries citing papers authored by P. Manimegalai

Since Specialization
Citations

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

Fields of papers citing papers by P. Manimegalai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Manimegalai

This figure shows the co-authorship network connecting the top 25 collaborators of P. Manimegalai. A scholar is included among the top collaborators of P. Manimegalai 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 P. Manimegalai. P. Manimegalai 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.
George, S. Thomas, et al.. (2025). Exploring the Potential of Raman Spectroscopy in Digital Pathology: A Comprehensive Review with Respect to Innovative Hybrid Deep Learning Approaches. Journal of The Institution of Engineers (India) Series B. 106(5). 1635–1659.
2.
Manimegalai, P., S. Thomas George, Mazin Abed Mohammed, et al.. (2024). A systematic review of techniques and clinical evidence to adopt virtual reality in post-stroke upper limb rehabilitation. Virtual Reality. 28(4). 9 indexed citations
3.
Manimegalai, P., et al.. (2023). Comparative Analysis Based Melanoma Detection In Dermoscopic Images With Deep Learning Techniques. 144. 1–6. 1 indexed citations
4.
Manimegalai, P., et al.. (2023). Comparison on denoising of electro cardiogram signal using deep learning techniques. AIP conference proceedings. 2899. 60042–60042. 1 indexed citations
5.
George, S. Thomas, M. S. P. Subathra, P. Manimegalai, et al.. (2022). Home Based Monitoring for Smart Health‐Care Systems: A Survey. Wireless Communications and Mobile Computing. 2022(1). 11 indexed citations
6.
Krishnan, R. Santhana, et al.. (2022). Solar Operated IoT based Smart System to Monitor Illegal Logging. 2022 7th International Conference on Communication and Electronics Systems (ICCES). 455–461. 11 indexed citations
7.
Manimegalai, P., et al.. (2021). A Study on Diabetic Retinopathy Detection Using Image Processing. 2(1). 21–26. 5 indexed citations
8.
Manimegalai, P., et al.. (2019). Distinguising Proof of Diabetic Retinopathy Detection by Hybrid Approaches in Two Dimensional Retinal Fundus Images. Journal of Medical Systems. 43(6). 173–173. 13 indexed citations
9.
Venkatesan, G. K. D. Prasanna, et al.. (2019). Systematic CO2 monitoring using Machine Learning enabled WSN to develop the Anti-Hazard Strategies for the future. International Journal of Biomedical Engineering and Technology. 34(1). 1–1. 2 indexed citations
10.
Rajalakshmi, N., et al.. (2019). An Efficient Dorsal Hand Vein Recognition Security System Using Arduino And Gsm Technology. International Journal of Engineering and Advanced Technology. 8(6s3). 1577–1581. 2 indexed citations
11.
Manimegalai, P., et al.. (2019). Implementation of Neural Network with ALE for the Removal of Artifacts in EEG Signals. Current Signal Transduction Therapy. 15(1). 77–83. 1 indexed citations
12.
Manimegalai, P., et al.. (2019). Evaluation of Non-Invasive Measurement of Haemoglobin using PPG in Clinically Ill Pediatric Patients. International Journal of Innovative Technology and Exploring Engineering. 8(12). 4618–4621. 1 indexed citations
13.
Kumar, Santosh, P. Manimegalai, & S. Karthik. (2018). An Energy - competent Routing Protocol for MANETs: a Particle Swarm Optimization Approach. 1–10. 2 indexed citations
14.
Manimegalai, P., et al.. (2018). Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC. Journal of Theoretical Biology. 455. 319–328. 53 indexed citations
15.
Manimegalai, P., et al.. (2017). Computational intelligence-based decision support system for glaucoma detection. Biomedical Research-tokyo. 28(11). 4737–4748. 9 indexed citations
16.
Manimegalai, P., et al.. (2017). Analysis of feature selection measures for text categorisation. International Journal of Enterprise Network Management. 8(1). 45–45. 1 indexed citations
17.
Manimegalai, P., et al.. (2015). Segmentation and Localization of Optic Disc using Feature Match and Medial Axis Detection in Retinal Images. Biomedical & Pharmacology Journal. 8(1). 391–397. 3 indexed citations
18.
Manimegalai, P., et al.. (2013). A Document Level Measure for Text Categorization. International Review on Computers and Software (IRECOS). 8(6). 1374–1381. 1 indexed citations
19.
Selvi, S. Thamarai & P. Manimegalai. (2010). Scheduling jobs on computational grid using differential evolution algorithm. 118–123. 2 indexed citations
20.
Balachandran, K., et al.. (2005). Controllability of second-order integrodifferential evolution systems in Banach spaces. Computers & Mathematics with Applications. 49(11-12). 1623–1642. 13 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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