Yar Muhammad

635 total citations · 1 hit paper
13 papers, 338 citations indexed

About

Yar Muhammad is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Automotive Engineering. According to data from OpenAlex, Yar Muhammad has authored 13 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Automotive Engineering. Recurrent topics in Yar Muhammad's work include EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Yar Muhammad is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Neuroscience and Neural Engineering (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Yar Muhammad collaborates with scholars based in Estonia, United Kingdom and Pakistan. Yar Muhammad's co-authors include Naveed Muhammad, Yannick Le Moullec, Paul Annus, Abdel-Karim Al-Tamimi, Adel Hamdan Mohammad, Toomas Rang, Muhammad Saleem Vighio and Zahid Hussain and has published in prestigious journals such as IEEE Access, Sensors and IEEE Robotics and Automation Letters.

In The Last Decade

Yar Muhammad

11 papers receiving 332 citations

Hit Papers

Past, Present, and Future of EEG-Based BCI Applications 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yar Muhammad Estonia 6 236 90 65 61 43 13 338
Che‐Jui Chang Taiwan 6 209 0.9× 75 0.8× 46 0.7× 82 1.3× 15 0.3× 10 344
Amar R. Marathe United States 13 295 1.3× 109 1.2× 47 0.7× 46 0.8× 14 0.3× 28 499
Mostafa-Sami M. Mostafa Egypt 5 326 1.4× 157 1.7× 95 1.5× 66 1.1× 14 0.3× 14 470
Tomasz Maszczyk Singapore 11 223 0.9× 71 0.8× 67 1.0× 18 0.3× 27 0.6× 14 390
J.M. Rodríguez-Ascariz Spain 12 142 0.6× 56 0.6× 39 0.6× 127 2.1× 24 0.6× 24 452
Yu-Chieh Chen Taiwan 5 196 0.8× 42 0.5× 29 0.4× 60 1.0× 19 0.4× 13 313
Stephen M. Gordon United States 12 320 1.4× 57 0.6× 49 0.8× 54 0.9× 8 0.2× 30 469
G. Emayavaramban India 14 138 0.6× 41 0.5× 169 2.6× 112 1.8× 70 1.6× 52 440
Hiroaki Wagatsuma Japan 11 256 1.1× 116 1.3× 50 0.8× 21 0.3× 9 0.2× 54 425
Jinfu Yang China 12 274 1.2× 124 1.4× 73 1.1× 59 1.0× 12 0.3× 34 420

Countries citing papers authored by Yar Muhammad

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Yar Muhammad

This figure shows the co-authorship network connecting the top 25 collaborators of Yar Muhammad. A scholar is included among the top collaborators of Yar Muhammad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yar Muhammad. Yar Muhammad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Muhammad, Yar, et al.. (2025). GC-GAT: Multimodal Vehicular Trajectory Prediction Using Graph Goal Conditioning and Cross-Context Attention. IEEE Robotics and Automation Letters. 10(8). 8316–8323.
2.
Muhammad, Yar, et al.. (2024). Navigating Roundabouts and Unprotected Turns in Autonomous Driving. University of Hertfordshire Research Archive (University of Hertfordshire). 1. 27–46. 2 indexed citations
3.
Muhammad, Yar, et al.. (2023). Enhancing Cross-Subject Motor Imagery Classification in EEG-Based Brain–Computer Interfaces by Using Multi-Branch CNN. Sensors. 23(18). 7908–7908. 18 indexed citations
4.
Muhammad, Naveed, et al.. (2022). Past, Present, and Future of EEG-Based BCI Applications. Sensors. 22(9). 3331–3331. 145 indexed citations breakdown →
5.
Al-Tamimi, Abdel-Karim, et al.. (2022). Dynamic congestion management system for cloud service broker. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(1). 872–872. 4 indexed citations
6.
Vighio, Muhammad Saleem, et al.. (2021). Fault Tolerance Framework for Composite Web Services. IEEE Access. 9. 95469–95480. 1 indexed citations
7.
Muhammad, Yar, et al.. (2021). A Survey on Motion Prediction of Pedestrians and Vehicles for Autonomous Driving. IEEE Access. 9. 137957–137969. 57 indexed citations
9.
Muhammad, Yar, et al.. (2020). Classification of Vowels from Imagined Speech with Convolutional Neural Networks. Computers. 9(2). 46–46. 35 indexed citations
10.
Muhammad, Yar, et al.. (2020). Fusion Convolutional Neural Network for Cross-Subject EEG Motor Imagery Classification. Computers. 9(3). 72–72. 64 indexed citations
11.
Muhammad, Yar, et al.. (2019). Controlling Electronic Devices with Brain Rhythms/Electrical Activity Using Artificial Neural Network (ANN). Bioengineering. 6(2). 46–46. 7 indexed citations
12.
Muhammad, Yar, et al.. (2016). Operating Wireless Sensor Nodes without Energy Storage: Experimental Results with Transient Computing. Electronics. 5(4). 89–89. 4 indexed citations
13.
Muhammad, Yar, Paul Annus, Yannick Le Moullec, & Toomas Rang. (2016). A parametric framework for the development of bioelectrical applications: application to a bio-impedance signal simulator; pp. 345–357. Proceedings of the Estonian Academy of Sciences. 65(4). 345–357. 1 indexed citations

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.

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