Vikrant Sharma
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- Photovoltaic System Optimization Techniques 13
- Solar Thermal and Photovoltaic Systems 7
- Artificial Intelligence top 1%
- AI in cancer detection 10
- Pollution top 5%
- Environmental Engineering top 5%
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- Smart Agriculture and AI 31
- Plant Disease Management Techniques 13
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- Spectroscopy and Chemometric Analyses 8
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- Smart Systems and Machine Learning 8
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- COVID-19 diagnosis using AI 7
- Co-authors
- Shyam Singh ChandelSatvik VatsO.S. SastryVinay KukrejaDevendra PrasadAli AhmadianBirinchi BoraPriyanshu Rawat
- Cited by
- Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyArtificial Intelligence
- Journals
- Solar Energy (5 papers)Renewable and Sustainable Energy Reviews (3 papers)Energy (3 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Vikrant Sharma
140 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Renewable Energy, Sustainability and the Environment 1.3k
- Energy Engineering and Power Technology 123
- Artificial Intelligence 872
- Pollution 304
- Environmental Engineering 361
Countries citing papers authored by Vikrant Sharma
This map shows the geographic impact of Vikrant Sharma'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 Vikrant Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikrant Sharma more than expected).
Fields of papers citing papers by Vikrant Sharma
This network shows the impact of papers produced by Vikrant Sharma. 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 Vikrant Sharma. The network helps show where Vikrant Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vikrant Sharma, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 24 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 23 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 18 | |
| 18 | 2023 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2022 | 11 |
About Vikrant Sharma
Vikrant Sharma is a scholar working on Computer Graphics and Computer-Aided Design, Health Information Management and Computer Networks and Communications, having authored 177 papers that have together received 3.1k indexed citations. Recurring topics across this work include Smart Agriculture and AI (31 papers), Plant Disease Management Techniques (13 papers), Photovoltaic System Optimization Techniques (13 papers), AI in cancer detection (10 papers), Spectroscopy and Chemometric Analyses (8 papers), Smart Systems and Machine Learning (8 papers), COVID-19 diagnosis using AI (7 papers) and Solar Thermal and Photovoltaic Systems (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.3k citations), Energy Engineering and Power Technology (123 citations) and Artificial Intelligence (872 citations). Vikrant Sharma has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Shyam Singh Chandel, Satvik Vats, O.S. Sastry, Vinay Kukreja, Devendra Prasad, Ali Ahmadian, Birinchi Bora, Priyanshu Rawat, M. Nagaraju Naik and Karan Singh. Their work appears in journals such as Solar Energy, Renewable and Sustainable Energy Reviews, Energy, International Journal of Thermofluids and Expert Systems with Applications.
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.