Yar Muhammad
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 5
-
- Neuroscience and Neural Engineering 4
- Co-authors
- Naveed Muhammad (6 shared papers)Paul Annus (2 shared papers)Abdel-Karim Al-Tamimi (1 shared paper)Yannick Le Moullec (2 shared papers)Adel Hamdan Mohammad (1 shared paper)Muhammad Saleem Vighio (1 shared paper)Zahid Hussain (1 shared paper)Toomas Rang (1 shared paper)
- Journals
- IEEE Access (2 papers)Sensors (2 papers)IEEE Robotics and Automation Letters (1 paper)Electronics (1 paper)Computers (2 papers)
- Partner nations
- EstoniaUnited KingdomPakistan
In The Last Decade
Yar Muhammad
11 papers receiving 351 citations
Yar Muhammad's Hit Papers
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 246
- Human-Computer Interaction 62
- Cellular and Molecular Neuroscience 81
- Automotive Engineering 43
- Signal Processing 37
Countries citing papers authored by Yar Muhammad
This map shows the geographic impact of Yar Muhammad'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 Yar Muhammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yar Muhammad more than expected).
Fields of papers citing papers by Yar Muhammad
This network shows the impact of papers produced by Yar Muhammad. 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 Yar Muhammad. The network helps show where Yar Muhammad may publish in the future.
Co-authors
The 8 scholars most cited alongside Yar Muhammad, 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 | Past, Present, and Future of EEG-Based BCI Applications Hit paper breakdown → | 2022 | 159 |
| 2 | 2020 | 64 | |
| 3 | 2021 | 57 | |
| 4 | 2020 | 36 | |
| 5 | 2023 | 21 | |
| 6 | 2019 | 7 | |
| 7 | 2022 | 4 | |
| 8 | 2016 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2016 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2020 | 0 |
About Yar Muhammad
Yar Muhammad is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Automotive Engineering, Social Psychology and Electrical and Electronic Engineering, having authored 13 papers that have together received 356 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers), Autonomous Vehicle Technology and Safety (3 papers), Human-Automation Interaction and Safety (2 papers), Advanced Memory and Neural Computing (2 papers), Gaze Tracking and Assistive Technology (2 papers), Software System Performance and Reliability (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Cognitive Neuroscience (246 citations), Human-Computer Interaction (62 citations), Cellular and Molecular Neuroscience (81 citations), Automotive Engineering (43 citations) and Signal Processing (37 citations). Yar Muhammad has collaborated with scholars based in Estonia, United Kingdom and Pakistan. Frequent co-authors include Naveed Muhammad, Paul Annus, Abdel-Karim Al-Tamimi, Yannick Le Moullec, Adel Hamdan Mohammad, Muhammad Saleem Vighio, Zahid Hussain and Toomas Rang. Their work appears in journals such as IEEE Access, Sensors, IEEE Robotics and Automation Letters, Electronics and Computers.
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.