Vinit Jakhetiya
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Aerospace Engineering
- Artificial Intelligence
- Signal Processing
- Co-authors
- Badri Narayan SubudhiSharath Chandra GuntukuSunil JaiswalOscar C. AuT. VeerakumarWeisi LinAnil Kumar TiwariShubham Chaudhary
- Topics
- Image and Signal Denoising Methods (14 papers)Advanced Image Processing Techniques (14 papers)Image Enhancement Techniques (14 papers)
- Journals
- IEEE Transactions on Image ProcessingPattern RecognitionIEEE Transactions on Industrial Informatics
- Partner nations
- IndiaHong KongUnited States
In The Last Decade
Vinit Jakhetiya
44 papers receiving 482 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 327
- Media Technology 119
- Aerospace Engineering 63
- Artificial Intelligence 62
- Signal Processing 26
Countries citing papers authored by Vinit Jakhetiya
This map shows the geographic impact of Vinit Jakhetiya'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 Vinit Jakhetiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinit Jakhetiya more than expected).
Fields of papers citing papers by Vinit Jakhetiya
This network shows the impact of papers produced by Vinit Jakhetiya. 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 Vinit Jakhetiya. The network helps show where Vinit Jakhetiya may publish in the future.
Co-authorship network of co-authors of Vinit Jakhetiya
This figure shows the co-authorship network connecting the top 25 collaborators of Vinit Jakhetiya. A scholar is included among the top collaborators of Vinit Jakhetiya 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 Vinit Jakhetiya. Vinit Jakhetiya 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 | 14 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 31 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 26 | |
| 19 | An efficient two pass lossless invisible watermarking algorithm for natural images | 0 |
| 20 | 8 |
About Vinit Jakhetiya
Vinit Jakhetiya is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 53 papers that have together received 492 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (14 papers), Advanced Image Processing Techniques (14 papers) and Image Enhancement Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (327 citations), Media Technology (119 citations) and Aerospace Engineering (63 citations). Vinit Jakhetiya has collaborated with scholars based in India, Hong Kong and United States. Frequent co-authors include Badri Narayan Subudhi, Sharath Chandra Guntuku, Sunil Jaiswal, Oscar C. Au, T. Veerakumar, Weisi Lin, Anil Kumar Tiwari, Shubham Chaudhary, Sujoy Roy and Sai Manoj Prakhya. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Industrial Informatics.
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.