Yar Muhammad
Impact in
- Cognitive Neuroscience top 10%
- 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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- Gaze Tracking and Assistive Technology 2
-
- EEG and Brain-Computer Interfaces 5
- Co-authors
- Naveed MuhammadPaul AnnusYannick Le MoullecAbdel-Karim Al-TamimiAdel Hamdan MohammadMuhammad Saleem VighioToomas RangZahid Hussain
- Journals
- Sensors (2 papers)IEEE Access (2 papers)Electronics (1 paper)IEEE Robotics and Automation Letters (1 paper)Computers (2 papers)
- Partner nations
- EstoniaUnited KingdomPakistan
In The Last Decade
Yar Muhammad
11 papers receiving 332 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 236
- Human-Computer Interaction 61
- Cellular and Molecular Neuroscience 90
- 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-authorship network
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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 18 | |
| 4 | Past, Present, and Future of EEG-Based BCI Applications Hit paper breakdown → | 2022 | 145 |
| 5 | 2022 | 4 | |
| 6 | 2021 | 57 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 0 | |
| 9 | 2020 | 64 | |
| 10 | 2020 | 35 | |
| 11 | 2019 | 7 | |
| 12 | 2016 | 4 | |
| 13 | 2016 | 1 |
About Yar Muhammad
Yar Muhammad is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Automotive Engineering, Cellular and Molecular Neuroscience and Social Psychology, having authored 13 papers that have together received 338 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), Gaze Tracking and Assistive Technology (2 papers), Advanced Memory and Neural Computing (2 papers), Human-Automation Interaction and Safety (2 papers), Energy Harvesting in Wireless Networks (1 paper) and ECG Monitoring and Analysis (1 paper). The work is most often cited by research in Cognitive Neuroscience (236 citations), Human-Computer Interaction (61 citations), Cellular and Molecular Neuroscience (90 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, Yannick Le Moullec, Abdel-Karim Al-Tamimi, Adel Hamdan Mohammad, Muhammad Saleem Vighio, Toomas Rang and Zahid Hussain. Their work appears in journals such as Sensors, IEEE Access, Electronics, IEEE Robotics and Automation Letters 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.