Leema Nelson
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- Brain Tumor Detection and Classification 9
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 8
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- Digital Imaging for Blood Diseases 6
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- COVID-19 diagnosis using AI 8
- Radiomics and Machine Learning in Medical Imaging 6
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- AI in cancer detection 10
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- Smart Agriculture and AI 7
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- Advanced DC-DC Converters 6
- Co-authors
- S. GomathiP. RameshR SurendranA. MohanSarabjeet SinghAvinash SharmaShanmugasundaram HariharanSudhakar Kumar
- Journals
- Computational Biology and Chemistry (1 paper)Journal of The Institution of Engineers (India) Series D (1 paper)Computer Science (1 paper)
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
Leema Nelson
48 papers receiving 279 citations
Peers
Comparison fields: 5 of 81
- Neurology 28
- Health Information Management 15
- Computer Vision and Pattern Recognition 55
- Radiology, Nuclear Medicine and Imaging 53
- Artificial Intelligence 68
Countries citing papers authored by Leema Nelson
This map shows the geographic impact of Leema Nelson'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 Leema Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leema Nelson more than expected).
Fields of papers citing papers by Leema Nelson
This network shows the impact of papers produced by Leema Nelson. 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 Leema Nelson. The network helps show where Leema Nelson may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Leema Nelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2023 | 6 |
About Leema Nelson
Leema Nelson is a scholar working on Health Information Management, Neurology and Health Informatics, having authored 64 papers that have together received 289 indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Brain Tumor Detection and Classification (9 papers), Artificial Intelligence in Healthcare (8 papers), COVID-19 diagnosis using AI (8 papers), Smart Agriculture and AI (7 papers), Digital Imaging for Blood Diseases (6 papers), Advanced DC-DC Converters (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Neurology (28 citations), Health Information Management (15 citations) and Computer Vision and Pattern Recognition (55 citations). Leema Nelson has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include S. Gomathi, P. Ramesh, R Surendran, A. Mohan, Sarabjeet Singh, Avinash Sharma, S. Gomathi, Shanmugasundaram Hariharan, Sudhakar Kumar and A. V. V. Sudhakar. Their work appears in journals such as Computational Biology and Chemistry, Journal of The Institution of Engineers (India) Series D, Computer Science, INTELIGENCIA ARTIFICIAL and Franklin Open.
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.