Deepti Ghadiyaram
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- Image and Video Quality Assessment 19
- Image Enhancement Techniques 12
- Advanced Image Processing Techniques 5
- Visual Attention and Saliency Detection 4
- Human Pose and Action Recognition 4
- Image and Signal Denoising Methods 3
- Media Technology top 1%
- Advanced Image Fusion Techniques 4
- Human-Computer Interaction top 5%
- Signal Processing top 5%
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- Multimedia Communication and Technology 4
- Co-authors
- Alan C. BovikJanice PanBrian L. EvansDhruv MahajanPraful GuptaZhenqiang YingJongyoo KimLei Zhang
- Journals
- IEEE Transactions on Image Processing (4 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)Empirical Studies of the Arts (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Deepti Ghadiyaram
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 393
- Human-Computer Interaction 105
- Signal Processing 141
- Developmental and Educational Psychology 71
Countries citing papers authored by Deepti Ghadiyaram
This map shows the geographic impact of Deepti Ghadiyaram'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 Deepti Ghadiyaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Ghadiyaram more than expected).
Fields of papers citing papers by Deepti Ghadiyaram
This network shows the impact of papers produced by Deepti Ghadiyaram. 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 Deepti Ghadiyaram. The network helps show where Deepti Ghadiyaram may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepti Ghadiyaram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 105 | |
| 5 | 2021 | 34 | |
| 6 | 2020 | 221 | |
| 7 | 2020 | 61 | |
| 8 | 2019 | 81 | |
| 9 | 2018 | 47 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 204 | |
| 12 | 2017 | 84 | |
| 13 | 2016 | 19 | |
| 14 | 2015 | 6 | |
| 15 | 2015 | 4 | |
| 16 | 2015 | 22 | |
| 17 | 2015 | 29 | |
| 18 | 2014 | 48 | |
| 19 | 2014 | 38 | |
| 20 | 2008 | 9 |
About Deepti Ghadiyaram
Deepti Ghadiyaram is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Sensory Systems and Human-Computer Interaction, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (19 papers), Image Enhancement Techniques (12 papers), Advanced Image Processing Techniques (5 papers), Advanced Image Fusion Techniques (4 papers), Visual Attention and Saliency Detection (4 papers), Human Pose and Action Recognition (4 papers), Multimedia Communication and Technology (4 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (393 citations), Human-Computer Interaction (105 citations), Signal Processing (141 citations) and Developmental and Educational Psychology (71 citations). Deepti Ghadiyaram has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Alan C. Bovik, Janice Pan, Brian L. Evans, Dhruv Mahajan, Praful Gupta, Zhenqiang Ying, Jongyoo Kim, Lei Zhang, Sanghoon Lee and Hui Zeng. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, Empirical Studies of the Arts, IEEE Signal Processing Magazine and SPIE Newsroom.
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.