Anush K. Moorthy

11.5k total citations · 3 hit papers
38 papers, 8.1k citations indexed

About

Anush K. Moorthy is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Anush K. Moorthy has authored 38 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 15 papers in Media Technology and 3 papers in Cognitive Neuroscience. Recurrent topics in Anush K. Moorthy's work include Image and Video Quality Assessment (33 papers), Image and Signal Denoising Methods (13 papers) and Advanced Image Processing Techniques (13 papers). Anush K. Moorthy is often cited by papers focused on Image and Video Quality Assessment (33 papers), Image and Signal Denoising Methods (13 papers) and Advanced Image Processing Techniques (13 papers). Anush K. Moorthy collaborates with scholars based in United States, India and France. Anush K. Moorthy's 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 and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Signal Processing Letters.

In The Last Decade

Anush K. Moorthy

38 papers receiving 7.9k citations

Hit Papers

No-Reference Image Quality Assessment in the Spatial Domain 2010 2026 2015 2020 2012 2011 2010 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anush K. Moorthy United States 21 7.5k 3.8k 596 531 289 38 8.1k
A. Mittal United States 4 7.3k 1.0× 3.7k 1.0× 477 0.8× 284 0.5× 419 1.4× 7 8.1k
Rajiv Soundararajan India 14 5.8k 0.8× 2.5k 0.6× 314 0.5× 537 1.0× 240 0.8× 49 6.3k
Kede Ma Hong Kong 31 6.1k 0.8× 3.2k 0.8× 303 0.5× 225 0.4× 392 1.4× 67 6.7k
Leida Li China 38 4.5k 0.6× 1.9k 0.5× 249 0.4× 208 0.4× 162 0.6× 241 5.1k
Jinjian Wu China 32 3.5k 0.5× 2.1k 0.5× 255 0.4× 174 0.3× 207 0.7× 169 4.2k
Joonki Paik South Korea 33 3.7k 0.5× 1.6k 0.4× 243 0.4× 298 0.6× 280 1.0× 411 4.6k
Vladimir Lukin Ukraine 26 3.7k 0.5× 2.3k 0.6× 348 0.6× 327 0.6× 133 0.5× 370 4.4k
Sung-Jea Ko South Korea 29 3.3k 0.4× 1.3k 0.3× 177 0.3× 747 1.4× 167 0.6× 225 4.1k
Masatoshi Okutomi Japan 38 5.0k 0.7× 1.7k 0.4× 203 0.3× 149 0.3× 420 1.5× 217 5.9k
P.M.S. Burt Brazil 9 3.7k 0.5× 2.1k 0.5× 95 0.2× 390 0.7× 272 0.9× 31 4.6k

Countries citing papers authored by Anush K. Moorthy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Moorthy, Anush K., et al.. (2024). Optimizing Power Consumption in Wireless Sensor Networks for Prolonged Sustainability. 1–4. 1 indexed citations
2.
Gupta, Praful, Anush K. Moorthy, Rajiv Soundararajan, & Alan C. Bovik. (2018). Generalized Gaussian scale mixtures: A model for wavelet coefficients of natural images. Signal Processing Image Communication. 66. 87–94. 15 indexed citations
3.
Bampis, Christos G., Zhi Li, Anush K. Moorthy, et al.. (2017). Study of Temporal Effects on Subjective Video Quality of Experience. IEEE Transactions on Image Processing. 26(11). 5217–5231. 132 indexed citations
4.
Ghadiyaram, Deepti, et al.. (2017). Subjective and objective quality assessment of Mobile Videos with In-Capture distortions. 1393–1397. 5 indexed citations
5.
Moorthy, Anush K., Kalpana Seshadrinathan, & Alan C. Bovik. (2017). Image and Video Quality Assessment: Perception, Psychophysical Models, and Algorithms. 73–108. 2 indexed citations
6.
Lee, Kwanghyun, Anush K. Moorthy, Sanghoon Lee, & Alan C. Bovik. (2014). 3D Visual Activity Assessment Based on Natural Scene Statistics. IEEE Transactions on Image Processing. 23(1). 450–465. 39 indexed citations
7.
Moorthy, Anush K. & Alan C. Bovik. (2013). A survey on 3D quality of experience and 3D quality assessment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8651. 86510M–86510M. 27 indexed citations
8.
Charrier, Christophe, Kenneth Knoblauch, Laurence T. Maloney, Alan C. Bovik, & Anush K. Moorthy. (2012). Optimizing Multiscale SSIM for Compression via MLDS. IEEE Transactions on Image Processing. 21(12). 4682–4694. 19 indexed citations
9.
Mittal, A., Anush K. Moorthy, & Alan C. Bovik. (2012). No-Reference Image Quality Assessment in the Spatial Domain. IEEE Transactions on Image Processing. 21(12). 4695–4708. 3850 indexed citations breakdown →
10.
Mittal, Anish, Anush K. Moorthy, & Alan C. Bovik. (2012). Making image quality assessment robust. 1718–1722. 36 indexed citations
11.
Moorthy, Anush K., Lark Kwon Choi, Alan C. Bovik, & Gustavo de Veciana. (2012). Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies. IEEE Journal of Selected Topics in Signal Processing. 6(6). 652–671. 225 indexed citations
12.
Moorthy, Anush K. & Alan C. Bovik. (2011). Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality. IEEE Transactions on Image Processing. 20(12). 3350–3364. 1286 indexed citations breakdown →
13.
Mittal, Anish, Anush K. Moorthy, & Alan C. Bovik. (2011). Blind/Referenceless Image Spatial Quality Evaluator. 723–727. 241 indexed citations
14.
Mittal, Anish, Anush K. Moorthy, Alan C. Bovik, & Lawrence K. Cormack. (2011). Automatic prediction of saliency on JPEG distorted images. 6 indexed citations
15.
Moorthy, Anush K., Kalpana Seshadrinathan, Rajiv Soundararajan, & Alan C. Bovik. (2010). Wireless Video Quality Assessment: A Study of Subjective Scores and Objective Algorithms. IEEE Transactions on Circuits and Systems for Video Technology. 20(4). 587–599. 89 indexed citations
16.
Moorthy, Anush K. & Alan C. Bovik. (2010). Visual quality assessment algorithms: what does the future hold?. Multimedia Tools and Applications. 51(2). 675–696. 74 indexed citations
17.
Moorthy, Anush K. & Alan C. Bovik. (2010). A two-stage framework for blind image quality assessment. 2481–2484. 12 indexed citations
18.
Moorthy, Anush K. & Alan C. Bovik. (2009). Visual Importance Pooling for Image Quality Assessment. IEEE Journal of Selected Topics in Signal Processing. 3(2). 193–201. 262 indexed citations
19.
Moorthy, Anush K. & Alan C. Bovik. (2009). A motion compensated approach to video quality assessment. 872–875. 10 indexed citations
20.
Moorthy, Anush K. & Alan C. Bovik. (2009). Perceptually significant spatial pooling techniques for image quality assessment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7240. 724012–724012. 27 indexed citations

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.

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