Rahul Chauhan
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- Digital Imaging for Blood Diseases 12
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- Artificial Intelligence in Healthcare 11
- Artificial Intelligence top 10%
- AI in cancer detection 16
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- Brain Tumor Detection and Classification 17
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- Smart Agriculture and AI 34
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- COVID-19 diagnosis using AI 13
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- IoT and Edge/Fog Computing 11
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- Blockchain Technology Applications and Security 11
- Co-authors
- Kamal Kumar GhanshalaRakesh JoshiRupesh GuptaKanwarpartap Singh GillVatsala AnandNeha SharmaChandradeep BhattSheifali Gupta
- Journals
- ACS Applied Nano Materials (1 paper)Computers & Electrical Engineering (1 paper)Journal of the Endocrine Society (1 paper)
- Partner nations
- IndiaSaudi ArabiaLebanon
In The Last Decade
Rahul Chauhan
150 papers receiving 723 citations
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 189
- Health Informatics 11
- Health Information Management 34
- Artificial Intelligence 186
- Neurology 40
Countries citing papers authored by Rahul Chauhan
This map shows the geographic impact of Rahul Chauhan'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 Rahul Chauhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Chauhan more than expected).
Fields of papers citing papers by Rahul Chauhan
This network shows the impact of papers produced by Rahul Chauhan. 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 Rahul Chauhan. The network helps show where Rahul Chauhan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rahul Chauhan, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2020 | 1 | |
| 18 | A study on knowledge, attitude & practice regarding Mosquito Borne Diseases in an urban area of Bhavnagar. | 2015 | 9 |
| 19 | 2014 | 1 | |
| 20 | Response of Taramira to sulphur and phosphorus application on typic psamment | 2004 | 2 |
About Rahul Chauhan
Rahul Chauhan is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Neurology, having authored 229 papers that have together received 767 indexed citations. Recurring topics across this work include Smart Agriculture and AI (34 papers), Brain Tumor Detection and Classification (17 papers), AI in cancer detection (16 papers), COVID-19 diagnosis using AI (13 papers), Digital Imaging for Blood Diseases (12 papers), IoT and Edge/Fog Computing (11 papers), Artificial Intelligence in Healthcare (11 papers) and Blockchain Technology Applications and Security (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Health Informatics (11 citations) and Health Information Management (34 citations). Rahul Chauhan has collaborated with scholars based in India, Saudi Arabia and Lebanon. Frequent co-authors include Kamal Kumar Ghanshala, Rakesh Joshi, Rupesh Gupta, Kanwarpartap Singh Gill, Vatsala Anand, Neha Sharma, Chandradeep Bhatt, Sheifali Gupta, Teekam Singh and Deepak Banerjee. Their work appears in journals such as ACS Applied Nano Materials, Computers & Electrical Engineering and Journal of the Endocrine Society.
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.