Ayush Dogra
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Bhawna GoyalSunil AgrawalB.S. SohiDawa Chyophel LepchaApoorav Maulik SharmaVishal GoyalChirag AhujaSanjeev Kumar
- Topics
- Advanced Image Fusion Techniques (52 papers)Image and Signal Denoising Methods (36 papers)Image Enhancement Techniques (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaUnited StatesIraq
In The Last Decade
Ayush Dogra
103 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 847
- Media Technology 685
- Biomedical Engineering 168
- Artificial Intelligence 124
- Radiology, Nuclear Medicine and Imaging 121
Countries citing papers authored by Ayush Dogra
This map shows the geographic impact of Ayush Dogra'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 Ayush Dogra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayush Dogra more than expected).
Fields of papers citing papers by Ayush Dogra
This network shows the impact of papers produced by Ayush Dogra. 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 Ayush Dogra. The network helps show where Ayush Dogra may publish in the future.
Co-authorship network of co-authors of Ayush Dogra
This figure shows the co-authorship network connecting the top 25 collaborators of Ayush Dogra. A scholar is included among the top collaborators of Ayush Dogra 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 Ayush Dogra. Ayush Dogra 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | Medical Image Denoising by Bilateral Filtering & Pure-Let for Corrupted Poisson Images | 1 |
| 20 | Feature Based Matching of CT & MRI Brain Images | 1 |
About Ayush Dogra
Ayush Dogra is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Neurology, having authored 130 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (52 papers), Image and Signal Denoising Methods (36 papers) and Image Enhancement Techniques (16 papers). The work is most often cited by research in Media Technology (685 citations), Computer Vision and Pattern Recognition (847 citations) and Neurology (55 citations). Ayush Dogra has collaborated with scholars based in India, United States and Iraq. Frequent co-authors include Bhawna Goyal, Sunil Agrawal, B.S. Sohi, Dawa Chyophel Lepcha, Apoorav Maulik Sharma, Vishal Goyal, Chirag Ahuja, Sanjeev Kumar, Vinay Kukreja and S. Prasad. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.