Rami Saab
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- 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
- Neural dynamics and brain function 4
- Neural and Behavioral Psychology Studies 3
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- Neuroscience and Neural Engineering 5
- Co-authors
- Erwei Yin (5 shared papers)Dewen Hu (4 shared papers)Tom Chau (3 shared papers)Timothy Zeyl (2 shared papers)Zongtan Zhou (2 shared papers)Andrzej Cichocki (2 shared papers)Jing Jin (2 shared papers)Ian Daly (1 shared paper)
In The Last Decade
Rami Saab
12 papers receiving 473 citations
Peers
Comparison fields: 5 of 48
- Cognitive Neuroscience 436
- Human-Computer Interaction 110
- Cellular and Molecular Neuroscience 224
- Signal Processing 92
- Electrical and Electronic Engineering 119
Countries citing papers authored by Rami Saab
This map shows the geographic impact of Rami Saab'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 Rami Saab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rami Saab more than expected).
Fields of papers citing papers by Rami Saab
This network shows the impact of papers produced by Rami Saab. 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 Rami Saab. The network helps show where Rami Saab may publish in the future.
Co-authors
The 25 scholars most cited alongside Rami Saab, 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 | 127 | |
| 2 | 2015 | 105 | |
| 3 | 2015 | 85 | |
| 4 | 2018 | 57 | |
| 5 | 2019 | 35 | |
| 6 | 2021 | 29 | |
| 7 | 2018 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 4 |
About Rami Saab
Rami Saab is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 12 papers that have together received 480 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (4 papers), Neural and Behavioral Psychology Studies (3 papers), Gaze Tracking and Assistive Technology (2 papers), Advanced Memory and Neural Computing (2 papers), Career Development and Diversity (1 paper) and Dysphagia Assessment and Management (1 paper). The work is most often cited by research in Cognitive Neuroscience (436 citations), Human-Computer Interaction (110 citations), Cellular and Molecular Neuroscience (224 citations), Signal Processing (92 citations) and Electrical and Electronic Engineering (119 citations). Rami Saab has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Erwei Yin, Dewen Hu, Tom Chau, Timothy Zeyl, Zongtan Zhou, Andrzej Cichocki, Jing Jin, Ian Daly, Xingyu Wang and Xiaorong Gao. Their work appears in journals such as International Journal of Neural Systems, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Frontiers in Human Neuroscience, Frontiers in Neuroscience and Neural Networks.
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.