Muhammad Awais

2.5k total citations
73 papers, 1.6k citations indexed

About

Muhammad Awais is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Muhammad Awais has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 13 papers in Biomedical Engineering and 12 papers in Cognitive Neuroscience. Recurrent topics in Muhammad Awais's work include Context-Aware Activity Recognition Systems (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Non-Invasive Vital Sign Monitoring (8 papers). Muhammad Awais is often cited by papers focused on Context-Aware Activity Recognition Systems (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Non-Invasive Vital Sign Monitoring (8 papers). Muhammad Awais collaborates with scholars based in United Kingdom, Pakistan and Saudi Arabia. Muhammad Awais's co-authors include Nasreen Badruddin, Micheal Drieberg, Mohsin Raza, Muhammad Imran, Lorenzo Chiari, Muhammad Irfan, Nishant Singh, Luca Palmerini, Faisal Mushtaq and Joel J. P. C. Rodrigues and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Expert Systems with Applications.

In The Last Decade

Muhammad Awais

65 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Awais United Kingdom 22 307 282 273 250 180 73 1.6k
Hussein Al Osman Canada 19 269 0.9× 152 0.5× 327 1.2× 72 0.3× 183 1.0× 66 1.2k
Kun Qian China 26 149 0.5× 216 0.8× 231 0.8× 71 0.3× 173 1.0× 149 2.0k
José Carlos Castillo Spain 21 129 0.4× 163 0.6× 141 0.5× 128 0.5× 456 2.5× 87 1.4k
Jwu‐Sheng Hu Taiwan 28 316 1.0× 250 0.9× 356 1.3× 408 1.6× 509 2.8× 217 2.9k
Andrius Dzedzickis Lithuania 11 201 0.7× 231 0.8× 180 0.7× 115 0.5× 99 0.6× 47 803
Mohamad Eid United Arab Emirates 25 201 0.7× 205 0.7× 910 3.3× 125 0.5× 295 1.6× 134 2.4k
Hristijan Gjoreski North Macedonia 22 618 2.0× 381 1.4× 187 0.7× 177 0.7× 956 5.3× 86 2.0k
Jason Teo Malaysia 21 125 0.4× 487 1.7× 545 2.0× 98 0.4× 195 1.1× 137 2.1k
Mayank Goel United States 29 379 1.2× 117 0.4× 630 2.3× 358 1.4× 629 3.5× 75 2.4k
Preeti Bajaj India 17 174 0.6× 166 0.6× 178 0.7× 97 0.4× 204 1.1× 96 985

Countries citing papers authored by Muhammad Awais

Since Specialization
Citations

This map shows the geographic impact of Muhammad Awais'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 Muhammad Awais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Awais more than expected).

Fields of papers citing papers by Muhammad Awais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Awais. 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 Muhammad Awais. The network helps show where Muhammad Awais may publish in the future.

Co-authorship network of co-authors of Muhammad Awais

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Awais. A scholar is included among the top collaborators of Muhammad Awais 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 Muhammad Awais. Muhammad Awais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shahzaib, Muhammad, et al.. (2025). Examining the French paradox: a systematic review of red wine consumption and cardiovascular risk. Annals of Medicine and Surgery. 87(12). 8757–8769.
2.
Ain, Noor Ul, et al.. (2025). Granulicatella infections: Comprehensive review of an elusive opportunistic pathogen. World Journal of Clinical Cases. 13(29). 110965–110965.
3.
Shah, Bijal, Muhammad Avais, Jawaria Ali Khan, et al.. (2023). EVALUATION OF IMMUNOGENICITY AND DOSE DEPENDENT IMMUNE RESPONSE AGAINST COMMON BOVINE ORIGINATED MASTITOGENS IN RABBIT MODEL. The Journal of Animal and Plant Sciences. 33(3). 526–533. 1 indexed citations
4.
Ahmad, Junaid, Muhammad Awais, Umer Rashid, et al.. (2023). A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques. Fuel. 338. 127379–127379. 33 indexed citations
5.
Alsareii, Saeed A., et al.. (2023). Machine-Learning-Enabled Obesity Level Prediction Through Electronic Health Records. Computer Systems Science and Engineering. 46(3). 3715–3728. 1 indexed citations
6.
Hussain, Asad, et al.. (2023). Deep Learning Based Anomaly Detection for Fog-Assisted IoVs Network. IEEE Access. 11. 19024–19038. 23 indexed citations
7.
Almasabi, Saleh, Turki Alsuwian, Muhammad Awais, et al.. (2022). False Data Injection Detection for Phasor Measurement Units. Sensors. 22(9). 3146–3146. 9 indexed citations
8.
Alsareii, Saeed A., et al.. (2022). Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study. Sensors. 22(4). 1420–1420. 10 indexed citations
9.
Ali, Kamran, Huan X. Nguyen, Quoc‐Tuan Vien, et al.. (2021). Review and Implementation of Resilient Public Safety Networks: 5G, IoT, and Emerging Technologies. IEEE Network. 35(2). 18–25. 27 indexed citations
10.
Awais, Muhammad, et al.. (2021). Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset. IEEE Access. 9. 98928–98938. 9 indexed citations
11.
Irfan, Muhammad, Abdullah Alwadie, Adam Głowacz, et al.. (2021). A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings. Sensors. 21(12). 4225–4225. 16 indexed citations
12.
Awais, Muhammad, Lorenzo Chiari, Espen A. F. Ihlen, Jorunn L. Helbostad, & Luca Palmerini. (2021). Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification. Sensors. 21(14). 4669–4669. 16 indexed citations
13.
Khalid, Muhammad, Muhammad Awais, Nishant Singh, et al.. (2021). Autonomous Transportation in Emergency Healthcare Services: Framework, Challenges, and Future Work. IEEE Internet of Things Magazine. 4(1). 28–33. 24 indexed citations
14.
Ullah, Ata, Muhammad Awais, Iyad Katib, et al.. (2021). Novel congestion avoidance scheme for Internet of Drones. Computer Communications. 169. 202–210. 13 indexed citations
15.
Hess, Stephane, Charisma F. Choudhury, Faisal Mushtaq, et al.. (2020). Cycling in virtual reality: modelling behaviour in an immersive environment. Transportation Letters. 13(8). 608–622. 16 indexed citations
16.
Rahman, Saifur, et al.. (2020). Wireless E-Nose Sensors to Detect Volatile Organic Gases through Multivariate Analysis. Micromachines. 11(6). 597–597. 28 indexed citations
17.
Awais, Muhammad, Lorenzo Chiari, Espen A. F. Ihlen, Jorunn L. Helbostad, & Luca Palmerini. (2018). Physical Activity Classification for Elderly People in Free-Living Conditions. IEEE Journal of Biomedical and Health Informatics. 23(1). 197–207. 57 indexed citations
18.
Wang, Chong, Ke Wang, Kunlun Wang, et al.. (2017). Myeloid-Derived Suppressor Cells Inhibit T Follicular Helper Cell Immune Response in Japanese Encephalitis Virus Infection. The Journal of Immunology. 199(9). 3094–3105. 26 indexed citations
19.
Awais, Muhammad, Luca Palmerini, Alan Bourke, et al.. (2016). Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study. Sensors. 16(12). 2105–2105. 24 indexed citations
20.
Awais, Muhammad & Asif Qumer Gill. (2016). Enterprise IT Governance: Back to Basics. 2 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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