Swati Devliyal
Impact in
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- Speech and Audio Processing
- Advanced Malware Detection Techniques
Papers in
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- Smart Agriculture and AI 14
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- COVID-19 diagnosis using AI 8
- Radiomics and Machine Learning in Medical Imaging 8
- Retinal Imaging and Analysis 5
- Co-authors
- Kanwarpartap Singh Gill (46 shared papers)Deepak Upadhyay (27 shared papers)Deepak Upadhyay (16 shared papers)Sachin Sharma (6 shared papers)Rupesh Gupta (10 shared papers)Neha Sharma (13 shared papers)Himanshu Rai Goyal (6 shared papers)Rahul Chauhan (18 shared papers)
- Journals
- International Journal of Advanced Computer Science and Applications (1 paper)Procedia Engineering (2 papers)
- Partner nations
- India
In The Last Decade
Swati Devliyal
62 papers receiving 135 citations
Peers
Comparison fields: 5 of 53
- Health Informatics 4
- Signal Processing 20
- Health Information Management 5
- Information Systems 22
- Pharmacy 4
Countries citing papers authored by Swati Devliyal
This map shows the geographic impact of Swati Devliyal'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 Swati Devliyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Devliyal more than expected).
Fields of papers citing papers by Swati Devliyal
This network shows the impact of papers produced by Swati Devliyal. 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 Swati Devliyal. The network helps show where Swati Devliyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Swati Devliyal, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 10 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 6 | |
| 4 | 2022 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2012 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Swati Devliyal
Swati Devliyal is a scholar working on Plant Science, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 103 papers that have together received 140 indexed citations. Recurring topics across this work include Smart Agriculture and AI (14 papers), Artificial Intelligence in Healthcare (9 papers), COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Digital Imaging for Blood Diseases (6 papers), Retinal Imaging and Analysis (5 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Health Informatics (4 citations), Signal Processing (20 citations), Health Information Management (5 citations), Information Systems (22 citations) and Pharmacy (4 citations). Swati Devliyal has collaborated with scholars based in India. Frequent co-authors include Kanwarpartap Singh Gill, Deepak Upadhyay, Deepak Upadhyay, Sachin Sharma, Rupesh Gupta, Neha Sharma, Himanshu Rai Goyal, Rahul Chauhan, Anurag Barthwal and K. Sreenivasa Rao. Their work appears in journals such as International Journal of Advanced Computer Science and Applications and Procedia Engineering.
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.