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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- COVID-19 diagnosis using AI 7
- Radiomics and Machine Learning in Medical Imaging 7
- Retinal Imaging and Analysis 3
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- Digital Imaging for Blood Diseases 4
- Co-authors
- V. Rajinikanth (20 shared papers)Seifedine Kadry (8 shared papers)Arnab Majumdar (1 shared paper)Orawit Thinnukool (1 shared paper)Mathiyazhagan Narayanan (4 shared papers)Baji Shaik (1 shared paper)Mohammed Rafi Shaik (1 shared paper)Ramalingam Karthik Raja (1 shared paper)
- Journals
- Life (1 paper)Biomolecules (1 paper)Mathematical Biosciences & Engineering (1 paper)Lecture notes in computer science (2 papers)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesLebanon
In The Last Decade
Ramya Mohan
26 papers receiving 158 citations
Peers
Comparison fields: 5 of 52
- Neurology 31
- Health Information Management 16
- Radiology, Nuclear Medicine and Imaging 59
- General Dentistry 4
- Periodontics 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 22 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 28 | |
| 2 | 2023 | 21 | |
| 3 | 2022 | 21 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 8 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 7 | |
| 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 | 2024 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2023 | 2 |
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 27 papers that have together received 162 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers), Brain Tumor Detection and Classification (4 papers), Dental Radiography and Imaging (4 papers), Retinal Imaging and Analysis (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (31 citations), Health Information Management (16 citations), Radiology, Nuclear Medicine and Imaging (59 citations), General Dentistry (4 citations) and Periodontics (10 citations). Ramya Mohan has collaborated with scholars based in India, United Arab Emirates and Lebanon. Frequent co-authors include V. Rajinikanth, Seifedine Kadry, Arnab Majumdar, Orawit Thinnukool, Mathiyazhagan Narayanan, Baji Shaik, Mohammed Rafi Shaik, Ramalingam Karthik Raja, Mujeeb Khan and S. Prabha. Their work appears in journals such as Life, Biomolecules, Mathematical Biosciences & Engineering, Lecture notes in computer science and International Journal of Pattern Recognition and Artificial Intelligence.
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.