Narayan Vyas
Impact in
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- Artificial Intelligence in Healthcare
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Robotic Path Planning Algorithms 2
- Face recognition and analysis 2
- Co-authors
- Vishal Dutt (10 shared papers)Abhishek Kumar (2 shared papers)Deepak Agarwal (2 shared papers)Umesh Kumar Lilhore (3 shared papers)Abhineet Anand (1 shared paper)Rashmi Agrawal (1 shared paper)Akshit Singh (1 shared paper)Raj Kumar (1 shared paper)
- Journals
- Remote Sensing Applications Society and Environment (1 paper)Earth Science Informatics (1 paper)THE SCIENTIFIC TEMPER (1 paper)
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Narayan Vyas
26 papers receiving 213 citations
Peers
Comparison fields: 5 of 61
- Health Information Management 40
- Health Informatics 8
- Family Practice 4
- Neurology 18
- Artificial Intelligence 63
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 21 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 32 | |
| 2 | 2023 | 26 | |
| 3 | 2023 | 22 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2023 | 2 |
About Narayan Vyas
Narayan Vyas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Health Information Management, Atmospheric Science and Biomedical Engineering, having authored 31 papers that have together received 224 indexed citations. Recurring topics across this work include Remote Sensing and Land Use (4 papers), Artificial Intelligence in Healthcare (4 papers), Blockchain Technology Applications and Security (3 papers), Brain Tumor Detection and Classification (2 papers), Robotic Path Planning Algorithms (2 papers), Face recognition and analysis (2 papers), Computational Drug Discovery Methods (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Information Management (40 citations), Health Informatics (8 citations), Family Practice (4 citations), Neurology (18 citations) and Artificial Intelligence (63 citations). Narayan Vyas has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Vishal Dutt, Abhishek Kumar, Deepak Agarwal, Umesh Kumar Lilhore, Abhineet Anand, Rashmi Agrawal, Akshit Singh, Raj Kumar, Abdul W. Basit and Shubhi Agarwal. Their work appears in journals such as Remote Sensing Applications Society and Environment, Earth Science Informatics and THE SCIENTIFIC TEMPER.
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.