Rahul Chauhan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Plant Science
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Co-authors
- Kamal Kumar GhanshalaRakesh JoshiRupesh GuptaKanwarpartap Singh GillVatsala AnandNeha SharmaChandradeep BhattSheifali Gupta
- Topics
- Smart Agriculture and AI (34 papers)Brain Tumor Detection and Classification (17 papers)AI in cancer detection (16 papers)
- Journals
- ACS Applied Nano MaterialsComputers & Electrical EngineeringJournal of the Endocrine Society
- 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
- Artificial Intelligence 186
- Plant Science 90
- Radiology, Nuclear Medicine and Imaging 87
- Electrical and Electronic Engineering 76
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 of co-authors of Rahul Chauhan
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Chauhan. A scholar is included among the top collaborators of Rahul Chauhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rahul Chauhan. Rahul Chauhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | A study on knowledge, attitude & practice regarding Mosquito Borne Diseases in an urban area of Bhavnagar. | 9 |
| 19 | 1 | |
| 20 | Response of Taramira to sulphur and phosphorus application on typic psamment | 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) and AI in cancer detection (16 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.