Priyanshu Rawat
- Artificial Intelligence
- Computer Networks and Communications
- Radiology, Nuclear Medicine and Imaging
- Health Information Management top 5%
- Plant Science
- Co-authors
- Satvik VatsMadhvan BajajVikrant SharmaTeekam SinghBharat Bhushan SagarRahul ChauhanChandradeep BhattSaket Srivastava
- Topics
- AI in cancer detection (5 papers)Artificial Intelligence in Healthcare (5 papers)Smart Agriculture and AI (4 papers)
- Journals
- SN Computer ScienceElsevier eBooksJournal of Information and Optimization Sciences
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Priyanshu Rawat
22 papers receiving 218 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 76
- Computer Networks and Communications 43
- Radiology, Nuclear Medicine and Imaging 35
- Health Information Management 32
- Plant Science 31
Countries citing papers authored by Priyanshu Rawat
This map shows the geographic impact of Priyanshu Rawat'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 Priyanshu Rawat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanshu Rawat more than expected).
Fields of papers citing papers by Priyanshu Rawat
This network shows the impact of papers produced by Priyanshu Rawat. 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 Priyanshu Rawat. The network helps show where Priyanshu Rawat may publish in the future.
Co-authorship network of co-authors of Priyanshu Rawat
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanshu Rawat. A scholar is included among the top collaborators of Priyanshu Rawat 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 Priyanshu Rawat. Priyanshu Rawat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 30 | |
| 7 | 18 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | 21 | |
| 14 | 21 | |
| 15 | 17 | |
| 16 | 0 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 8 |
About Priyanshu Rawat
Priyanshu Rawat is a scholar working on Health Information Management, Music and Artificial Intelligence, having authored 25 papers that have together received 228 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Artificial Intelligence in Healthcare (5 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Health Information Management (32 citations), Artificial Intelligence (76 citations) and Computer Networks and Communications (43 citations). Priyanshu Rawat has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Satvik Vats, Madhvan Bajaj, Vikrant Sharma, Vikrant Sharma, Teekam Singh, Bharat Bhushan Sagar, Rahul Chauhan, Chandradeep Bhatt, Saket Srivastava and Rakesh Kumar. Their work appears in journals such as SN Computer Science, Elsevier eBooks and Journal of Information and Optimization Sciences.
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.