Abbas Ebrahimi-Moghadam
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
- Speech and Audio Processing
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- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
-
- Image and Video Quality Assessment 4
- Visual Attention and Saliency Detection 4
- Image and Signal Denoising Methods 3
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- Video Coding and Compression Technologies 3
- Blind Source Separation Techniques 3
- Co-authors
- Shahram Shirani (5 shared papers)Mohamad Amin Bakhshali (3 shared papers)Sahar Moghimi (2 shared papers)Hadi Hadizadeh (4 shared papers)Hadi Sadoghi Yazdi (1 shared paper)
In The Last Decade
Abbas Ebrahimi-Moghadam
17 papers receiving 234 citations
Peers
Comparison fields: 5 of 53
- Signal Processing 76
- Cognitive Neuroscience 83
- Computer Vision and Pattern Recognition 91
- Media Technology 33
- Experimental and Cognitive Psychology 34
Countries citing papers authored by Abbas Ebrahimi-Moghadam
This map shows the geographic impact of Abbas Ebrahimi-Moghadam'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 Abbas Ebrahimi-Moghadam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abbas Ebrahimi-Moghadam more than expected).
Fields of papers citing papers by Abbas Ebrahimi-Moghadam
This network shows the impact of papers produced by Abbas Ebrahimi-Moghadam. 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 Abbas Ebrahimi-Moghadam. The network helps show where Abbas Ebrahimi-Moghadam may publish in the future.
Co-authors
The 5 scholars most cited alongside Abbas Ebrahimi-Moghadam, 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 | 2020 | 63 | |
| 2 | 2021 | 43 | |
| 3 | Subjective and Objective Quality Assessment of Image: A Survey | 2014 | 42 |
| 4 | 2022 | 19 | |
| 5 | 2019 | 12 | |
| 6 | 2019 | 12 | |
| 7 | 2007 | 11 | |
| 8 | 2005 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2003 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2004 | 1 | |
| 18 | 2020 | 0 |
About Abbas Ebrahimi-Moghadam
Abbas Ebrahimi-Moghadam is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 18 papers that have together received 245 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (6 papers), Image and Video Quality Assessment (4 papers), Visual Attention and Saliency Detection (4 papers), Video Coding and Compression Technologies (3 papers), Image and Signal Denoising Methods (3 papers), Neural dynamics and brain function (3 papers), Blind Source Separation Techniques (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Signal Processing (76 citations), Cognitive Neuroscience (83 citations), Computer Vision and Pattern Recognition (91 citations), Media Technology (33 citations) and Experimental and Cognitive Psychology (34 citations). Abbas Ebrahimi-Moghadam has collaborated with scholars based in Iran, Canada and Iraq. Frequent co-authors include Shahram Shirani, Mohamad Amin Bakhshali, Sahar Moghimi, Hadi Hadizadeh and Hadi Sadoghi Yazdi. Their work appears in journals such as Multimedia Tools and Applications, Signal Processing, Journal of Visual Communication and Image Representation, Biomedical Signal Processing and Control and IEEE Transactions on Broadcasting.
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.