Mohammed Aly
Impact in
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- Image and Signal Denoising Methods
- Face and Expression Recognition
Papers in
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- Image and Signal Denoising Methods 3
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- Emotion and Mood Recognition 3
- Co-authors
- Abdullatif Saleh Naser Ghallab (2 shared papers)Ahmed M. Hjazi (1 shared paper)Yasir Qasim Almajidi (1 shared paper)Wesam Radhi Kadhum (1 shared paper)Jassim M. Abdul-Jabbar (1 shared paper)Jitendra Malviya (1 shared paper)Ahmed Hussien Alawadi (1 shared paper)Reza Zare Hassanpour (1 shared paper)
- Journals
- Scientific Reports (5 papers)IEEE Access (2 papers)Water Resources and Industry (1 paper)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- EgyptSaudi ArabiaJordan
In The Last Decade
Mohammed Aly
24 papers receiving 217 citations
Peers
Comparison fields: 5 of 61
- Human-Computer Interaction 15
- Computer Vision and Pattern Recognition 49
- Signal Processing 25
- Experimental and Cognitive Psychology 27
- Health Informatics 3
Countries citing papers authored by Mohammed Aly
This map shows the geographic impact of Mohammed Aly'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 Mohammed Aly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Aly more than expected).
Fields of papers citing papers by Mohammed Aly
This network shows the impact of papers produced by Mohammed Aly. 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 Mohammed Aly. The network helps show where Mohammed Aly may publish in the future.
Co-authors
The 13 scholars most cited alongside Mohammed Aly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 48 | |
| 2 | 2024 | 31 | |
| 3 | 2022 | 28 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 12 | |
| 6 | 2019 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2025 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Mohammed Aly
Mohammed Aly is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Human-Computer Interaction and Artificial Intelligence, having authored 25 papers that have together received 226 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Emotion and Mood Recognition (3 papers), Sparse and Compressive Sensing Techniques (3 papers), COVID-19 diagnosis using AI (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Blind Source Separation Techniques (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Phonocardiography and Auscultation Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (15 citations), Computer Vision and Pattern Recognition (49 citations), Signal Processing (25 citations), Experimental and Cognitive Psychology (27 citations) and Health Informatics (3 citations). Mohammed Aly has collaborated with scholars based in Egypt, Saudi Arabia and Jordan. Frequent co-authors include Abdullatif Saleh Naser Ghallab, Ahmed M. Hjazi, Yasir Qasim Almajidi, Wesam Radhi Kadhum, Jassim M. Abdul-Jabbar, Jitendra Malviya, Ahmed Hussien Alawadi, Reza Zare Hassanpour, Ali Hashiem Alsaalamy and Naif Munif Aldumayki Alotaibi. Their work appears in journals such as Scientific Reports, IEEE Access, Water Resources and Industry, Computers, materials & continua/Computers, materials & continua (Print) and Computers in Biology and Medicine.
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.