Shanu Sharma
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Analytical Chemistry top 10%
- Human-Computer Interaction top 10%
- Artificial Intelligence
- Co-authors
- R. K. AroraPooja SharmaPriya RanjanÃlvaro RochaAshwani Kumar DubeySanjay KumarAnju MishraFernando Loizides
- Topics
- Smart Agriculture and AI (5 papers)Video Analysis and Summarization (4 papers)Gaze Tracking and Assistive Technology (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaSustainabilityJournal of the Neurological Sciences
- Partner nations
- IndiaUnited KingdomPortugal
In The Last Decade
Shanu Sharma
32 papers receiving 312 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 129
- Plant Science 129
- Analytical Chemistry 60
- Human-Computer Interaction 41
- Artificial Intelligence 37
Countries citing papers authored by Shanu Sharma
This map shows the geographic impact of Shanu 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 Shanu Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanu Sharma more than expected).
Fields of papers citing papers by Shanu Sharma
This network shows the impact of papers produced by Shanu 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 Shanu Sharma. The network helps show where Shanu Sharma may publish in the future.
Co-authorship network of co-authors of Shanu Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Shanu Sharma. A scholar is included among the top collaborators of Shanu 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 Shanu Sharma. Shanu 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | An economic analysis of production of chickpea in Bilaspur district Chhattisgarh | 1 |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | A Survey of Computer Vision Methods for Counting Fruits and Yield Prediction | 19 |
| 20 | 2 |
About Shanu Sharma
Shanu Sharma is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 37 papers that have together received 374 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Video Analysis and Summarization (4 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Human-Computer Interaction (41 citations), Computer Vision and Pattern Recognition (129 citations) and Analytical Chemistry (60 citations). Shanu Sharma has collaborated with scholars based in India, United Kingdom and Portugal. Frequent co-authors include R. K. Arora, Pooja Sharma, Priya Ranjan, Ãlvaro Rocha, Ashwani Kumar Dubey, Sanjay Kumar, Anju Mishra, Fernando Loizides, Anupam Agrawal and Sachin Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Journal of the Neurological Sciences.
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.