Leema Nelson
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
-
- Brain Tumor Detection and Classification
Papers in
-
- AI in cancer detection 10
-
- Digital Imaging for Blood Diseases 7
- Co-authors
- S. Gomathi (8 shared papers)P. Ramesh (1 shared paper)Sarabjeet Singh (1 shared paper)A. Mohan (1 shared paper)R Surendran (4 shared papers)Avinash Sharma (1 shared paper)Shanmugasundaram Hariharan (4 shared papers)Sudhakar Kumar (1 shared paper)
- Journals
- Pattern Recognition (1 paper)Computational Biology and Chemistry (1 paper)Journal of The Institution of Engineers (India) Series D (1 paper)INTELIGENCIA ARTIFICIAL (1 paper)Computer Science (1 paper)
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
Leema Nelson
54 papers receiving 329 citations
Peers
Comparison fields: 5 of 85
- Health Information Management 18
- Neurology 30
- Radiology, Nuclear Medicine and Imaging 63
- Computer Vision and Pattern Recognition 63
- Artificial Intelligence 77
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-authors
The 19 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
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 42 | |
| 2 | 2022 | 32 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 17 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 6 |
About Leema Nelson
Leema Nelson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Neurology, having authored 69 papers that have together received 342 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), Digital Imaging for Blood Diseases (7 papers), Smart Agriculture and AI (7 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 Health Information Management (18 citations), Neurology (30 citations), Radiology, Nuclear Medicine and Imaging (63 citations), Computer Vision and Pattern Recognition (63 citations) and Artificial Intelligence (77 citations). Leema Nelson has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include S. Gomathi, P. Ramesh, Sarabjeet Singh, A. Mohan, R Surendran, Avinash Sharma, Shanmugasundaram Hariharan, Sudhakar Kumar, S. Gomathi and A. V. V. Sudhakar. Their work appears in journals such as Pattern Recognition, Computational Biology and Chemistry, Journal of The Institution of Engineers (India) Series D, INTELIGENCIA ARTIFICIAL and Computer Science.
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.