Satvik Vats
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- Artificial Intelligence in Healthcare 8
- Neurology top 10%
- Brain Tumor Detection and Classification 12
- Artificial Intelligence top 5%
- AI in cancer detection 14
- Plant Science top 10%
- Smart Agriculture and AI 45
- Plant Disease Management Techniques 18
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- Smart Systems and Machine Learning 9
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- COVID-19 diagnosis using AI 19
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- Spectroscopy and Chemometric Analyses 13
In The Last Decade
Satvik Vats
135 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Health Information Management 71
- Neurology 88
- Artificial Intelligence 329
- Plant Science 313
- Computer Networks and Communications 180
Countries citing papers authored by Satvik Vats
This map shows the geographic impact of Satvik Vats'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 Satvik Vats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satvik Vats more than expected).
Fields of papers citing papers by Satvik Vats
This network shows the impact of papers produced by Satvik Vats. 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 Satvik Vats. The network helps show where Satvik Vats may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satvik Vats, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 7 | |
| 20 | Practical Approach To Software Engineering | 2015 | 0 |
About Satvik Vats
Satvik Vats is a scholar working on Health Information Management, Neurology, Analytical Chemistry, Computer Vision and Pattern Recognition and Plant Science, having authored 184 papers that have together received 1.5k indexed citations. Recurring topics across this work include Smart Agriculture and AI (45 papers), COVID-19 diagnosis using AI (19 papers), Plant Disease Management Techniques (18 papers), AI in cancer detection (14 papers), Spectroscopy and Chemometric Analyses (13 papers), Brain Tumor Detection and Classification (12 papers), Smart Systems and Machine Learning (9 papers) and Artificial Intelligence in Healthcare (8 papers). The work is most often cited by research in Health Information Management (71 citations), Neurology (88 citations), Artificial Intelligence (329 citations), Plant Science (313 citations) and Computer Networks and Communications (180 citations). Satvik Vats has collaborated with scholars based in India, Canada and Cyprus. Frequent co-authors include Vinay Kukreja, Shiva Mehta, Vikrant Sharma, Rishabh Sharma, Ali Ahmadian, Bharat Bhushan Sagar, Priyanshu Rawat, Karan Singh, Madhvan Bajaj and Mazeyanti Mohd Ariffin. Their work appears in journals such as Expert Systems with Applications, Scientific Reports, Symmetry, ISA Transactions and SN Computer Science.
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.