Prashant Sharma
- Biomedical Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electronic, Optical and Magnetic Materials
- Materials Chemistry
- Co-authors
- Brij M. MoudgilQi-e ZhangStephen R. GrobmyerHuabei JiangJason McNeillNobutaka IwakumaChangfeng WuAmit Kumar Gupta
- Topics
- Fault Detection and Control Systems (5 papers)Coding theory and cryptography (3 papers)Mobile Ad Hoc Networks (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNanotechnologyEngineering With Computers
- Partner nations
- IndiaUnited StatesBhutan
In The Last Decade
Prashant Sharma
33 papers receiving 376 citations
Peers
Comparison fields: 5 of 95
- Biomedical Engineering 164
- Artificial Intelligence 114
- Computer Vision and Pattern Recognition 85
- Electronic, Optical and Magnetic Materials 62
- Materials Chemistry 59
Countries citing papers authored by Prashant Sharma
This map shows the geographic impact of Prashant 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 Prashant Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Sharma more than expected).
Fields of papers citing papers by Prashant Sharma
This network shows the impact of papers produced by Prashant 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 Prashant Sharma. The network helps show where Prashant Sharma may publish in the future.
Co-authorship network of co-authors of Prashant Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Prashant Sharma. A scholar is included among the top collaborators of Prashant 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 Prashant Sharma. Prashant 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 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | Video classification detection technique for spatial and temporal motion identification using pathway system | 1 |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 25 | |
| 17 | 192 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 2 |
About Prashant Sharma
Prashant Sharma is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 415 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (5 papers), Coding theory and cryptography (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Biomaterials (57 citations), Computer Vision and Pattern Recognition (85 citations) and Biomedical Engineering (164 citations). Prashant Sharma has collaborated with scholars based in India, United States and Bhutan. Frequent co-authors include Brij M. Moudgil, Qi-e Zhang, Stephen R. Grobmyer, Huabei Jiang, Jason McNeill, Nobutaka Iwakuma, Changfeng Wu, Amit Kumar Gupta, Preeti Bajaj and Jagdish Chand Bansal. Their work appears in journals such as SHILAP Revista de lepidopterología, Nanotechnology and Engineering With Computers.
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.