Ravi Kumar Sachdeva
Impact in
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- Artificial Intelligence in Healthcare
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- Brain Tumor Detection and Classification
Papers in
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- Artificial Intelligence in Healthcare 14
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- AI in cancer detection 5
- Machine Learning in Healthcare 3
- Co-authors
- Pooja Rani (11 shared papers)Rakesh Ahuja (8 shared papers)Vinay Kukreja (2 shared papers)Vikas Solanki (5 shared papers)Rohit Lamba (9 shared papers)Rishabh Sharma (1 shared paper)Amanpreet Kaur (1 shared paper)Anurag Jain (5 shared papers)
- Journals
- Archives of Computational Methods in Engineering (1 paper)Neural Computing and Applications (1 paper)IET Cyber-Physical Systems Theory & Applications (1 paper)Innovations in Systems and Software Engineering (1 paper)International Journal of Systems Assurance Engineering and Management (1 paper)
In The Last Decade
Ravi Kumar Sachdeva
19 papers receiving 250 citations
Peers
Comparison fields: 5 of 71
- Health Information Management 81
- Neurology 22
- Health Informatics 3
- Artificial Intelligence 65
- Plant Science 47
Countries citing papers authored by Ravi Kumar Sachdeva
This map shows the geographic impact of Ravi Kumar Sachdeva'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 Ravi Kumar Sachdeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Kumar Sachdeva more than expected).
Fields of papers citing papers by Ravi Kumar Sachdeva
This network shows the impact of papers produced by Ravi Kumar Sachdeva. 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 Ravi Kumar Sachdeva. The network helps show where Ravi Kumar Sachdeva may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi Kumar Sachdeva, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 59 | |
| 2 | 2022 | 52 | |
| 3 | 2024 | 28 | |
| 4 | 2023 | 27 | |
| 5 | 2024 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 1 | |
| 17 | Model Driven Development of New Web Application Features by Extending IFML | 2019 | 1 |
| 18 | 2022 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 0 |
About Ravi Kumar Sachdeva
Ravi Kumar Sachdeva is a scholar working on Health Information Management, Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 25 papers that have together received 256 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (14 papers), AI in cancer detection (5 papers), Gene expression and cancer classification (3 papers), Brain Tumor Detection and Classification (3 papers), Machine Learning in Healthcare (3 papers), COVID-19 diagnosis using AI (2 papers), Traditional Chinese Medicine Studies (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Health Information Management (81 citations), Neurology (22 citations), Health Informatics (3 citations), Artificial Intelligence (65 citations) and Plant Science (47 citations). Ravi Kumar Sachdeva has collaborated with scholars based in India, Jordan and Egypt. Frequent co-authors include Pooja Rani, Rakesh Ahuja, Vinay Kukreja, Vikas Solanki, Rohit Lamba, Rishabh Sharma, Amanpreet Kaur, Anurag Jain, Rajneesh Kumar and Manoj Kumar. Their work appears in journals such as Archives of Computational Methods in Engineering, Neural Computing and Applications, IET Cyber-Physical Systems Theory & Applications, Innovations in Systems and Software Engineering and International Journal of Systems Assurance Engineering and Management.
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.