Rameen Abdal
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 4
- Video Analysis and Summarization 1
- Image Enhancement Techniques 1
- Face recognition and analysis 1
- Image Retrieval and Classification Techniques 1
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- Computer Graphics and Visualization Techniques 3
- Co-authors
- Peter Wonka (3 shared papers)John Femiani (2 shared papers)Hsin-Ying Lee (1 shared paper)Sergey Tulyakov (2 shared papers)Menglei Chai (1 shared paper)Aliaksandr Siarohin (2 shared papers)Qifeng Chen (1 shared paper)Gordon Wetzstein (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)Lecture notes in computer science (1 paper)Journal of Applied Remote Sensing (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- United StatesSaudi ArabiaHong Kong
In The Last Decade
Rameen Abdal
6 papers receiving 164 citations
Peers
Comparison fields: 5 of 40
- Computer Graphics and Computer-Aided Design 30
- Computer Vision and Pattern Recognition 102
- Media Technology 35
- Environmental Engineering 53
- Ocean Engineering 53
Countries citing papers authored by Rameen Abdal
This map shows the geographic impact of Rameen Abdal'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 Rameen Abdal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rameen Abdal more than expected).
Fields of papers citing papers by Rameen Abdal
This network shows the impact of papers produced by Rameen Abdal. 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 Rameen Abdal. The network helps show where Rameen Abdal may publish in the future.
Co-authors
The 16 scholars most cited alongside Rameen Abdal, 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 | 2018 | 69 | |
| 2 | 2021 | 47 | |
| 3 | 2023 | 26 | |
| 4 | 2024 | 19 | |
| 5 | 2022 | 4 | |
| 6 | 2025 | 2 |
About Rameen Abdal
Rameen Abdal is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Ocean Engineering and Environmental Engineering, having authored 6 papers that have together received 167 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers), Video Analysis and Summarization (1 paper), Image Enhancement Techniques (1 paper), Face recognition and analysis (1 paper), Image Retrieval and Classification Techniques (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (30 citations), Computer Vision and Pattern Recognition (102 citations), Media Technology (35 citations), Environmental Engineering (53 citations) and Ocean Engineering (53 citations). Rameen Abdal has collaborated with scholars based in United States, Saudi Arabia and Hong Kong. Frequent co-authors include Peter Wonka, John Femiani, Hsin-Ying Lee, Sergey Tulyakov, Menglei Chai, Aliaksandr Siarohin, Qifeng Chen, Gordon Wetzstein, Yifan Wang and Zhengfei Kuang. Their work appears in journals such as ACM Transactions on Graphics, Lecture notes in computer science, Journal of Applied Remote Sensing and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.