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 17
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- AI in cancer detection 6
- Machine Learning in Healthcare 4
- Co-authors
- Pooja Rani (13 shared papers)Vinay Kukreja (2 shared papers)Rakesh Ahuja (8 shared papers)Vikas Solanki (6 shared papers)Rohit Lamba (13 shared papers)Rishabh Sharma (1 shared paper)Amanpreet Kaur (1 shared paper)Anurag Jain (7 shared papers)
- Journals
- Archives of Computational Methods in Engineering (1 paper)International Journal of Speech Technology (1 paper)Neural Computing and Applications (1 paper)International Journal of Systems Assurance Engineering and Management (1 paper)Innovations in Systems and Software Engineering (1 paper)
- Partner nations
- IndiaPakistanUnited Arab Emirates
In The Last Decade
Ravi Kumar Sachdeva
21 papers receiving 291 citations
Peers
Comparison fields: 5 of 73
- Health Information Management 89
- Neurology 23
- Artificial Intelligence 74
- Health Informatics 3
- Plant Science 55
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 70 | |
| 2 | 2022 | 61 | |
| 3 | 2024 | 39 | |
| 4 | 2023 | 28 | |
| 5 | 2024 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About Ravi Kumar Sachdeva
Ravi Kumar Sachdeva is a scholar working on Health Information Management, Artificial Intelligence, Neurology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 301 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (17 papers), AI in cancer detection (6 papers), Machine Learning in Healthcare (4 papers), Brain Tumor Detection and Classification (3 papers), Gene expression and cancer classification (3 papers), COVID-19 diagnosis using AI (2 papers), Smart Agriculture and AI (2 papers) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Health Information Management (89 citations), Neurology (23 citations), Artificial Intelligence (74 citations), Health Informatics (3 citations) and Plant Science (55 citations). Ravi Kumar Sachdeva has collaborated with scholars based in India, Pakistan and United Arab Emirates. Frequent co-authors include Pooja Rani, Vinay Kukreja, Rakesh Ahuja, 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, International Journal of Speech Technology, Neural Computing and Applications, International Journal of Systems Assurance Engineering and Management and Innovations in Systems and Software Engineering.
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.