Vipul Sharma
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Media Technology top 5%
- Artificial Intelligence
- Materials Chemistry
- Co-authors
- Roohie Naaz MirRaksh V. JasraPradip MunshiSandeep CherumukkilSantosh AgrawalRanjeet Kumar RoutM. D. MadhusudanGeeta Sinha
- Topics
- Advanced Neural Network Applications (6 papers)Advanced Steganography and Watermarking Techniques (4 papers)Video Surveillance and Tracking Methods (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- Pattern Recognition LettersComputers & Electrical EngineeringJournal of Visual Communication and Image Representation
- Partner nations
- India
In The Last Decade
Vipul Sharma
17 papers receiving 549 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Computer Vision and Pattern Recognition 237
- Biomedical Engineering 63
- Media Technology 61
- Artificial Intelligence 52
- Materials Chemistry 49
Countries citing papers authored by Vipul Sharma
This map shows the geographic impact of Vipul 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 Vipul Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vipul Sharma more than expected).
Fields of papers citing papers by Vipul Sharma
This network shows the impact of papers produced by Vipul 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 Vipul Sharma. The network helps show where Vipul Sharma may publish in the future.
Co-authorship network of co-authors of Vipul Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Vipul Sharma. A scholar is included among the top collaborators of Vipul 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 Vipul Sharma. Vipul 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 | 5 | |
| 2 | 13 | |
| 3 | 42 | |
| 4 | 7 | |
| 5 | Revisiting Zeta Potential, the Key Feature of Interfacial Phenomena, with Applications and Recent Advancementsbreakdown → | 183 |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 167 | |
| 12 | 5 | |
| 13 | 46 | |
| 14 | 46 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 11 |
About Vipul Sharma
Vipul Sharma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 18 papers that have together received 567 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (237 citations), Media Technology (61 citations) and Industrial and Manufacturing Engineering (35 citations). Vipul Sharma has collaborated with scholars based in India. Frequent co-authors include Roohie Naaz Mir, Raksh V. Jasra, Pradip Munshi, Sandeep Cherumukkil, Santosh Agrawal, Ranjeet Kumar Rout, M. D. Madhusudan, Geeta Sinha, Rijo Jackson Tom and C.P. Thakur. Their work appears in journals such as Pattern Recognition Letters, Computers & Electrical Engineering and Journal of Visual Communication and Image Representation.
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.