S. Padmapriya

555 total citations
38 papers, 300 citations indexed

About

S. Padmapriya is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, S. Padmapriya has authored 38 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Neurology and 10 papers in Artificial Intelligence. Recurrent topics in S. Padmapriya's work include Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (8 papers) and Advanced MIMO Systems Optimization (4 papers). S. Padmapriya is often cited by papers focused on Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (8 papers) and Advanced MIMO Systems Optimization (4 papers). S. Padmapriya collaborates with scholars based in India, Malaysia and China. S. Padmapriya's co-authors include P. Sriramakrishnan, S. Parthasarathy, K. Somasundaram, T. Kalaiselvi, N. Sri Madhava Raja, Krishnan Nallaperumal, S. Gomathi, Ana Fred, S. Ramkumar and N. Shanthi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Multimedia Tools and Applications.

In The Last Decade

S. Padmapriya

36 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Padmapriya India 11 109 97 75 63 35 38 300
Adnan N. Qureshi Pakistan 10 83 0.8× 59 0.6× 154 2.1× 124 2.0× 24 0.7× 42 335
Prakash Choudhary India 12 169 1.6× 73 0.8× 188 2.5× 170 2.7× 30 0.9× 45 512
Antônio Carlos da Silva Barros Brazil 7 124 1.1× 63 0.6× 92 1.2× 172 2.7× 53 1.5× 12 346
Chandradeep Bhatt India 5 50 0.5× 32 0.3× 90 1.2× 68 1.1× 23 0.7× 63 260
Jahanzaib Latif China 8 93 0.9× 49 0.5× 106 1.4× 185 2.9× 25 0.7× 9 338
K. Manivannan India 8 110 1.0× 115 1.2× 72 1.0× 36 0.6× 20 0.6× 25 298
Eid Rehman Pakistan 6 131 1.2× 48 0.5× 106 1.4× 71 1.1× 47 1.3× 17 386
Ferhat Bozkurt Türkiye 11 119 1.1× 34 0.4× 122 1.6× 75 1.2× 34 1.0× 38 288
R. Pugalenthi India 7 54 0.5× 46 0.5× 85 1.1× 114 1.8× 19 0.5× 17 246
Wessam M. Salama Egypt 10 135 1.2× 82 0.8× 224 3.0× 182 2.9× 17 0.5× 30 392

Countries citing papers authored by S. Padmapriya

Since Specialization
Citations

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

Fields of papers citing papers by S. Padmapriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Padmapriya

This figure shows the co-authorship network connecting the top 25 collaborators of S. Padmapriya. A scholar is included among the top collaborators of S. Padmapriya 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 S. Padmapriya. S. Padmapriya 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.
Padmapriya, S., et al.. (2024). Improving the Prediction Accuracy of MRI Brain TumorDetection and Segmentation. International Journal of Computing and Digital Systems. 15(1). 499–509. 4 indexed citations
2.
Padmapriya, S., et al.. (2024). Acute postpartum pleural effusion causing distress for patient and obstetrician. International Journal of Reproduction Contraception Obstetrics and Gynecology. 13(6). 1612–1615. 1 indexed citations
3.
Padmapriya, S., et al.. (2024). Computer-Aided Diagnostic System for Brain Tumor Classification using Explainable AI. 1–6. 7 indexed citations
4.
5.
Parthasarathy, S., et al.. (2024). Trade-off between training and testing ratio in machine learning for medical image processing. PeerJ Computer Science. 10. e2245–e2245. 37 indexed citations
6.
Manickam, Sivakumar & S. Padmapriya. (2024). Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20. e15734056303076–e15734056303076. 1 indexed citations
7.
Padmapriya, S. & S. Parthasarathy. (2023). Ethical Data Collection for Medical Image Analysis: a Structured Approach. Asian Bioethics Review. 16(1). 95–108. 11 indexed citations
8.
Padmapriya, S., et al.. (2023). Automatic Facial Expression Recognition Employing CNN-Inception and the ResNet 50. 1–6. 1 indexed citations
9.
Padmapriya, S., et al.. (2022). Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID‐19 detection from chest X‐ray's and computerized tomography scans. International Journal of Imaging Systems and Technology. 32(3). 704–716. 12 indexed citations
10.
Kalaiselvi, T., et al.. (2020). Development of automatic glioma brain tumor detection system using deep convolutional neural networks. International Journal of Imaging Systems and Technology. 30(4). 926–938. 20 indexed citations
11.
Sriramakrishnan, P., et al.. (2019). Online Brain Image Repositories for Brain Disease Detection. International Journal of Innovative Technology and Exploring Engineering. 9(2S2). 864–867. 1 indexed citations
12.
Padmapriya, S., et al.. (2019). Metaclassifiers for Predicting the Robotic Navigational Performance. International Journal of Innovative Technology and Exploring Engineering. 8(11S). 1234–1238. 3 indexed citations
13.
Sriramakrishnan, P., et al.. (2019). A Role of Medical Imaging Techniques in Human Brain Tumor Treatment. International Journal of Recent Technology and Engineering (IJRTE). 8(4S2). 565–568. 1 indexed citations
14.
15.
Sriramakrishnan, P., et al.. (2019). An Medical Image File Formats and Digital Image Conversion. International Journal of Engineering and Advanced Technology. 9(1s4). 74–78. 11 indexed citations
16.
Padmapriya, S., et al.. (2015). Design of an efficient dual mode reconfigurable FIR filter architecture in speech signal processing. Microprocessors and Microsystems. 39(7). 521–528. 7 indexed citations
17.
Padmapriya, S., et al.. (2015). Co-channel Interference Avoidance Algorithm for Closed Access Femtocell Networks. IETE Technical Review. 33(3). 280–296. 2 indexed citations
18.
Padmapriya, S., et al.. (2014). RFID Based Centralized Patient Monitoring System and Tracking (RPMST). IOSR Journal of Computer Engineering. 16(2). 8–15. 7 indexed citations
19.
Padmapriya, S., et al.. (2013). Technical challenges in femtocell network. 12. 679–684. 1 indexed citations
20.
Padmapriya, S., et al.. (2012). Real time smart car lock security system using face detection and recognition. 1–6. 17 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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