M. Ramya
Impact in
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- Radiomics and Machine Learning in Medical Imaging
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- Image Enhancement Techniques
Papers in
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- Soft Robotics and Applications 8
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- Image Enhancement Techniques 3
- Co-authors
- Sumathi Poobal (5 shared papers)D. Dinakaran (10 shared papers)S. Kannan (1 shared paper)V. Krishnaveni (1 shared paper)T. Anuradha (1 shared paper)Arockia Selvakumar Arockia Doss (4 shared papers)S Maheswaran (1 shared paper)P. Priyadharshini (1 shared paper)
In The Last Decade
M. Ramya
46 papers receiving 258 citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 69
- Computer Vision and Pattern Recognition 72
- Neurology 25
- Reproductive Medicine 23
- Media Technology 21
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 25 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 49 | |
| 2 | 2014 | 33 | |
| 3 | 2020 | 19 | |
| 4 | 2018 | 16 | |
| 5 | 2017 | 16 | |
| 6 | 2019 | 13 | |
| 7 | Multibiometric based authentication using feature level fusion | 2012 | 11 |
| 8 | 2017 | 11 | |
| 9 | 2014 | 9 | |
| 10 | IMPLEMENTATION OF MARITIME BORDER ALERT SYSTEM | 2014 | 8 |
| 11 | 2022 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2015 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2014 | 5 | |
| 18 | HITS@FIRE task 2015: Twitter based Named Entity Recognizer for Indian Languages. | 2015 | 4 |
| 19 | 2022 | 4 | |
| 20 | 2017 | 4 |
About M. Ramya
M. Ramya is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 290 indexed citations. Recurring topics across this work include Soft Robotics and Applications (8 papers), Brain Tumor Detection and Classification (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Power Line Inspection Robots (5 papers), AI in cancer detection (4 papers), Advanced Image Fusion Techniques (3 papers), Retinal Imaging and Analysis (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (69 citations), Computer Vision and Pattern Recognition (72 citations), Neurology (25 citations), Reproductive Medicine (23 citations) and Media Technology (21 citations). M. Ramya has collaborated with scholars based in India, Spain and France. Frequent co-authors include Sumathi Poobal, D. Dinakaran, S. Kannan, V. Krishnaveni, T. Anuradha, Arockia Selvakumar Arockia Doss, S Maheswaran, P. Priyadharshini, S. Prabhu and K. Udayakumar. Their work appears in journals such as Multimedia Tools and Applications, Indian Journal of Science and Technology, Pattern Recognition Letters, International Journal of Fuzzy Systems and Research in Nondestructive Evaluation.
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.