Rishabh Sharma
- Plant Science top 5%
- Analytical Chemistry top 2%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Vinay KukrejaSatvik VatsAnkit BansalVirender KadyanSakshi SakshiHimanshu GuptaVikrant SharmaAnuj Kumar Jain
- Topics
- Smart Agriculture and AI (94 papers)Spectroscopy and Chemometric Analyses (42 papers)Plant Disease Management Techniques (31 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionJournal of Environmental Management
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
Rishabh Sharma
158 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Plant Science 701
- Analytical Chemistry 235
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 152
- Computer Networks and Communications 118
Countries citing papers authored by Rishabh Sharma
This map shows the geographic impact of Rishabh 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 Rishabh Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishabh Sharma more than expected).
Fields of papers citing papers by Rishabh Sharma
This network shows the impact of papers produced by Rishabh 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 Rishabh Sharma. The network helps show where Rishabh Sharma may publish in the future.
Co-authorship network of co-authors of Rishabh Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Rishabh Sharma. A scholar is included among the top collaborators of Rishabh 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 Rishabh Sharma. Rishabh 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 | 7 | |
| 2 | 5 | |
| 3 | 30 | |
| 4 | 36 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 2 |
About Rishabh Sharma
Rishabh Sharma is a scholar working on Analytical Chemistry, Plant Science and Computer Vision and Pattern Recognition, having authored 199 papers that have together received 1.5k indexed citations. Recurring topics across this work include Smart Agriculture and AI (94 papers), Spectroscopy and Chemometric Analyses (42 papers) and Plant Disease Management Techniques (31 papers). The work is most often cited by research in Analytical Chemistry (235 citations), Plant Science (701 citations) and Computer Vision and Pattern Recognition (152 citations). Rishabh Sharma has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Vinay Kukreja, Satvik Vats, Ankit Bansal, Virender Kadyan, Sakshi Sakshi, Himanshu Gupta, Vikrant Sharma, Anuj Kumar Jain, Amanpreet Kaur and Niharika Niharika. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Environmental Management.
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.