S. Gomathi
Impact in
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- Leptospirosis research and findings
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- graph theory and CDMA systems 3
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- Digital Imaging for Blood Diseases 3
- Co-authors
- Leema Nelson (8 shared papers)S. Ramesh (2 shared papers)Vimal Kumar (1 shared paper)Bhupesh Chandra (1 shared paper)R. Sundareswaran (1 shared paper)R. Dhanalakshmi (1 shared paper)T. Santhanam (1 shared paper)R. Parameshwaran (1 shared paper)
In The Last Decade
S. Gomathi
40 papers receiving 196 citations
Peers
Comparison fields: 5 of 79
- Parasitology 17
- Radiology, Nuclear Medicine and Imaging 41
- Neurology 14
- Computer Vision and Pattern Recognition 37
- Artificial Intelligence 58
Countries citing papers authored by S. Gomathi
This map shows the geographic impact of S. Gomathi'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. Gomathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Gomathi more than expected).
Fields of papers citing papers by S. Gomathi
This network shows the impact of papers produced by S. Gomathi. 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. Gomathi. The network helps show where S. Gomathi may publish in the future.
Co-authors
The 24 scholars most cited alongside S. Gomathi, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 44 | |
| 2 | 2004 | 17 | |
| 3 | 2023 | 15 | |
| 4 | 2021 | 13 | |
| 5 | 2024 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2024 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2015 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2012 | 3 |
About S. Gomathi
S. Gomathi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Computational Mechanics, having authored 53 papers that have together received 235 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (7 papers), Advanced Adaptive Filtering Techniques (7 papers), AI in cancer detection (6 papers), Speech and Audio Processing (3 papers), Retinal Imaging and Analysis (3 papers), Digital Imaging for Blood Diseases (3 papers), graph theory and CDMA systems (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Parasitology (17 citations), Radiology, Nuclear Medicine and Imaging (41 citations), Neurology (14 citations), Computer Vision and Pattern Recognition (37 citations) and Artificial Intelligence (58 citations). S. Gomathi has collaborated with scholars based in India, Chile and Malaysia. Frequent co-authors include Leema Nelson, S. Ramesh, Vimal Kumar, Bhupesh Chandra, R. Sundareswaran, R. Dhanalakshmi, T. Santhanam, R. Parameshwaran, P. Chitra and V. Gomathi. Their work appears in journals such as International Journal of Ambient Energy, Results in Engineering, Multimedia Systems, Solid State Technology and Neural Computing and Applications.
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.