S. Padmapriya
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- Advanced Neural Network Applications 7
- Medical Image Segmentation Techniques 2
- Face and Expression Recognition 2
- Neurology 12
- Brain Tumor Detection and Classification 12
- Co-authors
- P. Sriramakrishnan (8 shared papers)S. Parthasarathy (4 shared papers)K. Somasundaram (4 shared papers)T. Kalaiselvi (8 shared papers)N. Sri Madhava Raja (1 shared paper)S. Gomathi (1 shared paper)Ana Fred (1 shared paper)N. Shanthi (1 shared paper)
- Journals
- PeerJ Computer Science (2 papers)International Journal of Dynamical Systems and Differential Equations (2 papers)International Journal of Imaging Systems and Technology (2 papers)Multimedia Tools and Applications (1 paper)Engineering Science and Technology an International Journal (1 paper)
In The Last Decade
S. Padmapriya
36 papers receiving 301 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 19
- Neurology 97
- Computer Vision and Pattern Recognition 106
- Radiology, Nuclear Medicine and Imaging 59
- Health Information Management 12
Countries citing papers authored by S. Padmapriya
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
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-authors
The 13 scholars most cited alongside S. Padmapriya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2024 | 52 | |
| 3 | 2020 | 21 | |
| 4 | 2020 | 20 | |
| 5 | 2012 | 18 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2024 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2015 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2005 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2021 | 4 |
About S. Padmapriya
S. Padmapriya is a scholar working on Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 38 papers that have together received 325 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (7 papers), Advanced MIMO Systems Optimization (4 papers), Wireless Communication Networks Research (3 papers), Medical Image Segmentation Techniques (2 papers), Face and Expression Recognition (2 papers), Artificial Intelligence in Healthcare (2 papers) and Digital Filter Design and Implementation (2 papers). The work is most often cited by research in Health Informatics (19 citations), Neurology (97 citations), Computer Vision and Pattern Recognition (106 citations), Radiology, Nuclear Medicine and Imaging (59 citations) and Health Information Management (12 citations). S. Padmapriya has collaborated with scholars based in India, Malaysia and China. Frequent co-authors include P. Sriramakrishnan, S. Parthasarathy, K. Somasundaram, T. Kalaiselvi, N. Sri Madhava Raja, S. Gomathi, Ana Fred, N. Shanthi, Krishnan Nallaperumal and E. Kirubakaran. Their work appears in journals such as PeerJ Computer Science, International Journal of Dynamical Systems and Differential Equations, International Journal of Imaging Systems and Technology, Multimedia Tools and Applications and Engineering Science and Technology an International Journal.
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.