Narayan Vyas
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 3
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- Robotic Path Planning Algorithms 2
- Co-authors
- Vishal Dutt (9 shared papers)Abhishek Kumar (2 shared papers)Deepak Kumar Agarwal (2 shared papers)Umesh Kumar Lilhore (3 shared papers)Rashmi Agrawal (1 shared paper)Abhineet Anand (1 shared paper)Raj Kumar (1 shared paper)Akshit Singh (1 shared paper)
- Journals
- Remote Sensing Applications Society and Environment (1 paper)Computers and Electronics in Agriculture (1 paper)Earth Science Informatics (1 paper)Communities in ADDI (University of the Basque Country) (1 paper)
- Partner nations
- IndiaItalyUnited Kingdom
In The Last Decade
Narayan Vyas
27 papers receiving 249 citations
Peers
Comparison fields: 5 of 61
- Health Information Management 38
- Health Informatics 6
- Neurology 26
- Artificial Intelligence 82
- Family Practice 4
Countries citing papers authored by Narayan Vyas
This map shows the geographic impact of Narayan Vyas'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 Narayan Vyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narayan Vyas more than expected).
Fields of papers citing papers by Narayan Vyas
This network shows the impact of papers produced by Narayan Vyas. 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 Narayan Vyas. The network helps show where Narayan Vyas may publish in the future.
Co-authors
The 19 scholars most cited alongside Narayan Vyas, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 33 | |
| 2 | 2023 | 32 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 3 |
About Narayan Vyas
Narayan Vyas is a scholar working on Health Information Management, Computer Vision and Pattern Recognition, Atmospheric Science, Artificial Intelligence and Media Technology, having authored 30 papers that have together received 262 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (5 papers), Remote-Sensing Image Classification (3 papers), Blockchain Technology Applications and Security (3 papers), Artificial Intelligence in Healthcare (3 papers), Remote Sensing in Agriculture (3 papers), Computational Drug Discovery Methods (2 papers), Robotic Path Planning Algorithms (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Health Information Management (38 citations), Health Informatics (6 citations), Neurology (26 citations), Artificial Intelligence (82 citations) and Family Practice (4 citations). Narayan Vyas has collaborated with scholars based in India, Italy and United Kingdom. Frequent co-authors include Vishal Dutt, Abhishek Kumar, Deepak Kumar Agarwal, Umesh Kumar Lilhore, Rashmi Agrawal, Abhineet Anand, Raj Kumar, Akshit Singh, Abdul W. Basit and Shubhi Agarwal. Their work appears in journals such as Remote Sensing Applications Society and Environment, Computers and Electronics in Agriculture, Earth Science Informatics and Communities in ADDI (University of the Basque Country).
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.