Ramya Mohan
Impact in
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- Brain Tumor Detection and Classification
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 4
- Retinal Imaging and Analysis 3
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- Digital Imaging for Blood Diseases 3
- Co-authors
- V. Rajinikanth (16 shared papers)Seifedine Kadry (3 shared papers)Arnab Majumdar (1 shared paper)Orawit Thinnukool (1 shared paper)Mathiyazhagan Narayanan (4 shared papers)Mohammed Rafi Shaik (1 shared paper)Ramalingam Karthik Raja (1 shared paper)Baji Shaik (1 shared paper)
- Journals
- Life (1 paper)Mathematical Biosciences & Engineering (1 paper)Biomolecules (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)Webology (1 paper)
- Partner nations
- IndiaLithuaniaUnited Arab Emirates
In The Last Decade
Ramya Mohan
20 papers receiving 145 citations
Peers
Comparison fields: 5 of 50
- Neurology 27
- Health Information Management 12
- General Dentistry 4
- Radiology, Nuclear Medicine and Imaging 55
- Oral Surgery 10
Countries citing papers authored by Ramya Mohan
This map shows the geographic impact of Ramya Mohan'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 Ramya Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Mohan more than expected).
Fields of papers citing papers by Ramya Mohan
This network shows the impact of papers produced by Ramya Mohan. 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 Ramya Mohan. The network helps show where Ramya Mohan may publish in the future.
Co-authors
The 19 scholars most cited alongside Ramya Mohan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 28 | |
| 2 | 2022 | 21 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 8 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2025 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Ramya Mohan
Ramya Mohan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology and Oral Surgery, having authored 22 papers that have together received 149 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers), Brain Tumor Detection and Classification (4 papers), Dental Radiography and Imaging (4 papers), COVID-19 diagnosis using AI (4 papers), Retinal Imaging and Analysis (3 papers), Digital Imaging for Blood Diseases (3 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Neurology (27 citations), Health Information Management (12 citations), General Dentistry (4 citations), Radiology, Nuclear Medicine and Imaging (55 citations) and Oral Surgery (10 citations). Ramya Mohan has collaborated with scholars based in India, Lithuania and United Arab Emirates. Frequent co-authors include V. Rajinikanth, Seifedine Kadry, Arnab Majumdar, Orawit Thinnukool, Mathiyazhagan Narayanan, Mohammed Rafi Shaik, Ramalingam Karthik Raja, Baji Shaik, Mujeeb Khan and Robertas Damaševičius. Their work appears in journals such as Life, Mathematical Biosciences & Engineering, Biomolecules, International Journal of Pattern Recognition and Artificial Intelligence and Webology.
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.