Ali Al-Saegh
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in
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- EEG and Brain-Computer Interfaces 7
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- Blind Source Separation Techniques 7
- Speech and Audio Processing 2
- Co-authors
- Shefa A. Dawwd (3 shared papers)Jassim M. Abdul-Jabbar (3 shared papers)Ahmed A. Hussein (1 shared paper)
- Journals
- Biomedical Signal Processing and Control (1 paper)Neural Networks (1 paper)Diyala Journal of Engineering Sciences (1 paper)Maǧallaẗ al-handasaẗ al-rāfidayn (2 papers)Tikrit Journal of Engineering Sciences (1 paper)
- Partner nations
- Iraq
In The Last Decade
Ali Al-Saegh
11 papers receiving 388 citations
Ali Al-Saegh's Hit Papers
Peers
Comparison fields: 5 of 43
- Cognitive Neuroscience 346
- Human-Computer Interaction 84
- Cellular and Molecular Neuroscience 125
- Signal Processing 70
- Neurology 16
Countries citing papers authored by Ali Al-Saegh
This map shows the geographic impact of Ali Al-Saegh'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 Ali Al-Saegh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Al-Saegh more than expected).
Fields of papers citing papers by Ali Al-Saegh
This network shows the impact of papers produced by Ali Al-Saegh. 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 Ali Al-Saegh. The network helps show where Ali Al-Saegh may publish in the future.
Co-authors
The 3 scholars most cited alongside Ali Al-Saegh, 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 | Deep learning for motor imagery EEG-based classification: A review Hit paper breakdown → | 2020 | 319 |
| 2 | 2021 | 39 | |
| 3 | 2023 | 15 | |
| 4 | 2015 | 5 | |
| 5 | 2015 | 5 | |
| 6 | 2019 | 4 | |
| 7 | 2021 | 2 | |
| 8 | 2015 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2015 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 |
About Ali Al-Saegh
Ali Al-Saegh is a scholar working on Cognitive Neuroscience, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 394 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (7 papers), EEG and Brain-Computer Interfaces (7 papers), Neural Networks and Applications (4 papers), Neuroscience and Neural Engineering (3 papers), Handwritten Text Recognition Techniques (3 papers), Brain Tumor Detection and Classification (2 papers), Image Processing and 3D Reconstruction (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Cognitive Neuroscience (346 citations), Human-Computer Interaction (84 citations), Cellular and Molecular Neuroscience (125 citations), Signal Processing (70 citations) and Neurology (16 citations). Ali Al-Saegh has collaborated with scholars based in Iraq. Frequent co-authors include Shefa A. Dawwd, Jassim M. Abdul-Jabbar and Ahmed A. Hussein. Their work appears in journals such as Biomedical Signal Processing and Control, Neural Networks, Diyala Journal of Engineering Sciences, Maǧallaẗ al-handasaẗ al-rāfidayn and Tikrit Journal of Engineering Sciences.
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.