Vikas Solanki
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 3
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- Plant Virus Research Studies 7
- Plant Pathogenic Bacteria Studies 4
- Smart Agriculture and AI 4
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- Stock Market Forecasting Methods 3
- Forecasting Techniques and Applications 3
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- AI in cancer detection 2
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- IoT and Edge/Fog Computing 2
In The Last Decade
Vikas Solanki
22 papers receiving 232 citations
Peers
Comparison fields: 5 of 89
- Health Information Management 24
- Plant Science 94
- Computer Vision and Pattern Recognition 39
- Management Science and Operations Research 17
- Analytical Chemistry 13
Countries citing papers authored by Vikas Solanki
This map shows the geographic impact of Vikas Solanki'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 Vikas Solanki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Solanki more than expected).
Fields of papers citing papers by Vikas Solanki
This network shows the impact of papers produced by Vikas Solanki. 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 Vikas Solanki. The network helps show where Vikas Solanki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vikas Solanki, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 26 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 58 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2017 | 11 | |
| 20 | 2015 | 4 |
About Vikas Solanki
Vikas Solanki is a scholar working on Health Information Management, Plant Science, Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 247 indexed citations. Recurring topics across this work include Plant Virus Research Studies (7 papers), Plant Pathogenic Bacteria Studies (4 papers), Smart Agriculture and AI (4 papers), Stock Market Forecasting Methods (3 papers), Artificial Intelligence in Healthcare (3 papers), Forecasting Techniques and Applications (3 papers), AI in cancer detection (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Health Information Management (24 citations), Plant Science (94 citations), Computer Vision and Pattern Recognition (39 citations), Management Science and Operations Research (17 citations) and Analytical Chemistry (13 citations). Vikas Solanki has collaborated with scholars based in India, Ethiopia and Nepal. Frequent co-authors include Vinay Kukreja, Ravi Kumar Sachdeva, Deepak Kumar, Ankit Bansal, Amanpreet Kaur, Rishabh Sharma, Rakesh Ahuja, Bikash Mandal, Pooja Rani and Sunil Gupta. Their work appears in journals such as Frontiers in Microbiology, Virus Research, Virus Genes, Plants and Journal of Failure Analysis and Prevention.
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.