Sheetal Rajpal
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- AI in cancer detection 5
- Machine Learning and ELM 3
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- Radiomics and Machine Learning in Medical Imaging 2
- COVID-19 diagnosis using AI 2
- Co-authors
- Naveen Kumar (10 shared papers)Ankit Rajpal (11 shared papers)Manoj Agarwal (9 shared papers)Ayush Singh (1 shared paper)Virendra Kumar (6 shared papers)Aseem Bhatnagar (2 shared papers)Gaurav Mittal (2 shared papers)Anand Nayyar (1 shared paper)
In The Last Decade
Sheetal Rajpal
14 papers receiving 295 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 103
- Artificial Intelligence 115
- Neurology 21
- General Dentistry 3
Countries citing papers authored by Sheetal Rajpal
This map shows the geographic impact of Sheetal Rajpal'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 Sheetal Rajpal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheetal Rajpal more than expected).
Fields of papers citing papers by Sheetal Rajpal
This network shows the impact of papers produced by Sheetal Rajpal. 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 Sheetal Rajpal. The network helps show where Sheetal Rajpal may publish in the future.
Co-authors
The 13 scholars most cited alongside Sheetal Rajpal, 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 | 2021 | 94 | |
| 2 | 2023 | 37 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 19 | |
| 6 | 2008 | 18 | |
| 7 | 2010 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 0 |
About Sheetal Rajpal
Sheetal Rajpal is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Plant Science, Molecular Biology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 302 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Machine Learning and ELM (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Brain Tumor Detection and Classification (2 papers), Pesticide Exposure and Toxicity (2 papers), COVID-19 diagnosis using AI (2 papers), Smart Agriculture and AI (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Artificial Intelligence (115 citations), Neurology (21 citations) and General Dentistry (3 citations). Sheetal Rajpal has collaborated with scholars based in India and Vietnam. Frequent co-authors include Naveen Kumar, Ankit Rajpal, Manoj Agarwal, Ayush Singh, Virendra Kumar, Aseem Bhatnagar, Gaurav Mittal, Anand Nayyar, Ajith Abraham and Kavita Kavita. Their work appears in journals such as Soft Computing, Chaos Solitons & Fractals, Computer Methods and Programs in Biomedicine, Digital Signal Processing and Environmental Toxicology and Pharmacology.
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.