Taha Beyrouthy
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
- Virtual Reality Applications and Impacts
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
-
- EEG and Brain-Computer Interfaces 14
- Neural dynamics and brain function 6
- Co-authors
- Samer Al Kork (19 shared papers)Sherif Said (16 shared papers)Abdullah S. Karar (7 shared papers)Amine Naït‐Ali (5 shared papers)Bilel Neji (6 shared papers)Zaher Al Barakeh (5 shared papers)Adel M. Alimi (4 shared papers)A. Naït-Ali (4 shared papers)
In The Last Decade
Taha Beyrouthy
41 papers receiving 453 citations
Peers
Comparison fields: 5 of 83
- Human-Computer Interaction 93
- Cognitive Neuroscience 149
- Experimental and Cognitive Psychology 73
- Computer Vision and Pattern Recognition 105
- Social Psychology 66
Countries citing papers authored by Taha Beyrouthy
This map shows the geographic impact of Taha Beyrouthy'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 Taha Beyrouthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taha Beyrouthy more than expected).
Fields of papers citing papers by Taha Beyrouthy
This network shows the impact of papers produced by Taha Beyrouthy. 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 Taha Beyrouthy. The network helps show where Taha Beyrouthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Taha Beyrouthy, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 38 | |
| 2 | 2022 | 30 | |
| 3 | 2019 | 30 | |
| 4 | 2017 | 22 | |
| 5 | 2018 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2016 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2017 | 19 | |
| 10 | 2020 | 17 | |
| 11 | 2017 | 17 | |
| 12 | 2023 | 15 | |
| 13 | 2024 | 15 | |
| 14 | 2024 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2024 | 11 | |
| 19 | 2024 | 11 | |
| 20 | 2023 | 11 |
About Taha Beyrouthy
Taha Beyrouthy is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering and Social Psychology, having authored 41 papers that have together received 485 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (6 papers), Social Robot Interaction and HRI (5 papers), Muscle activation and electromyography studies (5 papers), Emotion and Mood Recognition (5 papers), Robotics and Automated Systems (4 papers), Advanced Memory and Neural Computing (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Human-Computer Interaction (93 citations), Cognitive Neuroscience (149 citations), Experimental and Cognitive Psychology (73 citations), Computer Vision and Pattern Recognition (105 citations) and Social Psychology (66 citations). Taha Beyrouthy has collaborated with scholars based in Kuwait, France and Tunisia. Frequent co-authors include Samer Al Kork, Sherif Said, Abdullah S. Karar, Amine Naït‐Ali, Bilel Neji, Zaher Al Barakeh, Adel M. Alimi, A. Naït-Ali, Tarek M. Hamdani and Saeed Mian Qaisar. Their work appears in journals such as IEEE Access, Robotics, Applied Sciences, International Journal of Emerging Technologies in Learning (iJET) and Advanced Materials Interfaces.
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.