Anush K. Moorthy
- Computer Vision and Pattern Recognition top 0.05%
- Media Technology top 0.02%
- Atomic and Molecular Physics, and Optics top 5%
- Signal Processing top 1%
- Biomedical Engineering top 10%
- Co-authors
- Alan C. BovikA. MittalAnish MittalDinesh JayaramanC.-C. SuLark Kwon ChoiGustavo de VecianaAnne Aaron
- Topics
- Image and Video Quality Assessment (33 papers)Image and Signal Denoising Methods (13 papers)Advanced Image Processing Techniques (13 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Signal Processing Letters
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Anush K. Moorthy
38 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 7.5k
- Media Technology 3.8k
- Atomic and Molecular Physics, and Optics 596
- Signal Processing 531
- Biomedical Engineering 289
Countries citing papers authored by Anush K. Moorthy
This map shows the geographic impact of Anush K. Moorthy'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 Anush K. Moorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anush K. Moorthy more than expected).
Fields of papers citing papers by Anush K. Moorthy
This network shows the impact of papers produced by Anush K. Moorthy. 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 Anush K. Moorthy. The network helps show where Anush K. Moorthy may publish in the future.
Co-authorship network of co-authors of Anush K. Moorthy
This figure shows the co-authorship network connecting the top 25 collaborators of Anush K. Moorthy. A scholar is included among the top collaborators of Anush K. Moorthy 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 Anush K. Moorthy. Anush K. Moorthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 132 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 39 | |
| 7 | 27 | |
| 8 | 19 | |
| 9 | No-Reference Image Quality Assessment in the Spatial Domainbreakdown → | 3850 |
| 10 | 36 | |
| 11 | 225 | |
| 12 | Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Qualitybreakdown → | 1286 |
| 13 | 241 | |
| 14 | 6 | |
| 15 | 89 | |
| 16 | 74 | |
| 17 | 12 | |
| 18 | 262 | |
| 19 | 10 | |
| 20 | 27 |
About Anush K. Moorthy
Anush K. Moorthy is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 38 papers that have together received 8.1k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (33 papers), Image and Signal Denoising Methods (13 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Media Technology (3.8k citations), Computer Vision and Pattern Recognition (7.5k citations) and Signal Processing (531 citations). Anush K. Moorthy has collaborated with scholars based in United States, India and France. Frequent co-authors include Alan C. Bovik, A. Mittal, Anish Mittal, Dinesh Jayaraman, C.-C. Su, Lark Kwon Choi, Gustavo de Veciana, Anne Aaron, Rajiv Soundararajan and Kalpana Seshadrinathan. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Signal Processing Letters.
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.