M. Ramya
Impact in
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- Image Enhancement Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Image Enhancement Techniques 3
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- Power Line Inspection Robots 5
- Modular Robots and Swarm Intelligence 3
- Co-authors
- Sumathi Poobal (4 shared papers)D. Dinakaran (8 shared papers)S. Kannan (1 shared paper)V. Krishnaveni (1 shared paper)T. Anuradha (1 shared paper)Arockia Selvakumar Arockia Doss (2 shared papers)S Maheswaran (1 shared paper)S. Prabhu (1 shared paper)
In The Last Decade
M. Ramya
39 papers receiving 216 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 65
- Radiology, Nuclear Medicine and Imaging 61
- Neurology 21
- Reproductive Medicine 20
- Media Technology 20
Countries citing papers authored by M. Ramya
This map shows the geographic impact of M. Ramya'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 M. Ramya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ramya more than expected).
Fields of papers citing papers by M. Ramya
This network shows the impact of papers produced by M. Ramya. 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 M. Ramya. The network helps show where M. Ramya may publish in the future.
Co-authors
The 24 scholars most cited alongside M. Ramya, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 43 | |
| 2 | 2014 | 27 | |
| 3 | 2017 | 16 | |
| 4 | 2020 | 16 | |
| 5 | 2018 | 14 | |
| 6 | Multibiometric based authentication using feature level fusion | 2012 | 10 |
| 7 | 2019 | 10 | |
| 8 | 2017 | 10 | |
| 9 | IMPLEMENTATION OF MARITIME BORDER ALERT SYSTEM | 2014 | 8 |
| 10 | 2022 | 7 | |
| 11 | 2016 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2014 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2021 | 3 |
About M. Ramya
M. Ramya is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 51 papers that have together received 246 indexed citations. Recurring topics across this work include Soft Robotics and Applications (6 papers), Power Line Inspection Robots (5 papers), COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Modular Robots and Swarm Intelligence (3 papers), Retinal Diseases and Treatments (3 papers), Image Enhancement Techniques (3 papers) and Ovarian function and disorders (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (65 citations), Radiology, Nuclear Medicine and Imaging (61 citations), Neurology (21 citations), Reproductive Medicine (20 citations) and Media Technology (20 citations). M. Ramya has collaborated with scholars based in India, Spain and Iraq. Frequent co-authors include Sumathi Poobal, D. Dinakaran, S. Kannan, V. Krishnaveni, T. Anuradha, Arockia Selvakumar Arockia Doss, S Maheswaran, S. Prabhu, K. Udayakumar and L. Natrayan. Their work appears in journals such as Indian Journal of Science and Technology, Scientific Reports, Journal of Applied Physics, Research in Nondestructive Evaluation and Pattern Recognition Letters.
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.