Abhinav Sharma
- Plant Science top 5%
- Renewable Energy, Sustainability and the Environment top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Vinay ChowdaryArpit JainPrateek GuptaBrian AzzopardiVibhu JatelyAbhishek SharmaJyoti JoshiMoshe Averbukh
- Topics
- Photovoltaic System Optimization Techniques (10 papers)Solar Radiation and Photovoltaics (10 papers)Advanced Control Systems Design (10 papers)
In The Last Decade
Abhinav Sharma
57 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Plant Science 438
- Renewable Energy, Sustainability and the Environment 372
- Artificial Intelligence 358
- Electrical and Electronic Engineering 340
- Control and Systems Engineering 142
Countries citing papers authored by Abhinav Sharma
This map shows the geographic impact of Abhinav 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 Abhinav Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Sharma more than expected).
Fields of papers citing papers by Abhinav Sharma
This network shows the impact of papers produced by Abhinav 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 Abhinav Sharma. The network helps show where Abhinav Sharma may publish in the future.
Co-authorship network of co-authors of Abhinav Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Sharma. A scholar is included among the top collaborators of Abhinav Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhinav Sharma. Abhinav Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 33 | |
| 10 | 3 | |
| 11 | 27 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 40 | |
| 17 | 0 | |
| 18 | Machine Learning Applications for Precision Agriculture: A Comprehensive Reviewbreakdown → | 562 |
| 19 | 1 | |
| 20 | 3 |
About Abhinav Sharma
Abhinav Sharma is a scholar working on Signal Processing, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (10 papers), Solar Radiation and Photovoltaics (10 papers) and Advanced Control Systems Design (10 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (372 citations), Plant Science (438 citations) and Artificial Intelligence (358 citations). Abhinav Sharma has collaborated with scholars based in India, Malta and Israel. Frequent co-authors include Vinay Chowdary, Arpit Jain, Prateek Gupta, Brian Azzopardi, Vibhu Jately, Abhishek Sharma, Jyoti Joshi, Moshe Averbukh, Balaji V. Venkatasubramanian and Sudha Arora. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and IEEE Access.
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.