Muhammad Shafiq

986 total citations
94 papers, 746 citations indexed

About

Muhammad Shafiq is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Muhammad Shafiq has authored 94 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Control and Systems Engineering, 25 papers in Computer Networks and Communications and 24 papers in Statistical and Nonlinear Physics. Recurrent topics in Muhammad Shafiq's work include Iterative Learning Control Systems (33 papers), Chaos control and synchronization (24 papers) and Adaptive Control of Nonlinear Systems (20 papers). Muhammad Shafiq is often cited by papers focused on Iterative Learning Control Systems (33 papers), Chaos control and synchronization (24 papers) and Adaptive Control of Nonlinear Systems (20 papers). Muhammad Shafiq collaborates with scholars based in Oman, Saudi Arabia and Pakistan. Muhammad Shafiq's co-authors include Israr Ahmad, Hassan Yousef, Mohamed Hamdy, Fouad M. AL‐Sunni, M. Mossa Al-Sawalha, Ashraf Saleem, Syed Saad Azhar Ali, Tahir Ali Khan, J.M. Bakhashwain and Mohammad Shahzad and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of the Franklin Institute.

In The Last Decade

Muhammad Shafiq

83 papers receiving 713 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 Shafiq Oman 15 394 207 199 105 97 94 746
Gianfranco Parlangeli Italy 12 274 0.7× 378 1.8× 77 0.4× 97 0.9× 37 0.4× 60 703
Juhng-Perng Su Taiwan 11 397 1.0× 150 0.7× 178 0.9× 19 0.2× 175 1.8× 37 649
Qijia Yao China 18 593 1.5× 194 0.9× 133 0.7× 49 0.5× 92 0.9× 79 934
Tahereh Binazadeh Iran 20 967 2.5× 285 1.4× 211 1.1× 21 0.2× 113 1.2× 113 1.2k
H. Berghuis Netherlands 12 827 2.1× 115 0.6× 103 0.5× 29 0.3× 165 1.7× 17 970
Wenjing Xie China 12 257 0.7× 172 0.8× 68 0.3× 72 0.7× 29 0.3× 51 501
J.P. Barbot France 14 384 1.0× 130 0.6× 96 0.5× 15 0.1× 43 0.4× 65 685
Chyun‐Chau Fuh Taiwan 12 277 0.7× 170 0.8× 259 1.3× 7 0.1× 90 0.9× 30 589
Alex Poznyak Mexico 13 936 2.4× 112 0.5× 56 0.3× 29 0.3× 131 1.4× 40 1.1k

Countries citing papers authored by Muhammad Shafiq

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shafiq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shafiq

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shafiq. A scholar is included among the top collaborators of Muhammad Shafiq 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 Shafiq. Muhammad Shafiq 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.
Shafiq, Muhammad, et al.. (2025). A recurrent Lyapunov neural network for fast tracking of unknown Single-Input Single-Output nonlinear systems. Engineering Applications of Artificial Intelligence. 143. 109990–109990. 3 indexed citations
2.
Shafiq, Muhammad & Israr Ahmad. (2025). A novel fixed-time smooth synchronization controller for stabilizing chaotic spacecraft formation. Alexandria Engineering Journal. 117. 577–592.
3.
Shafiq, Muhammad & Israr Ahmad. (2024). Adaptive chaos control: A novel continuous-time approach for enhanced stability. 31. 100292–100292. 1 indexed citations
4.
Shafiq, Muhammad, et al.. (2024). A time-efficient nonlinear control method for the hyperchaotic finance system synchronization. Indonesian Journal of Electrical Engineering and Computer Science. 35(2). 834–834.
5.
Ahmad, Israr & Muhammad Shafiq. (2024). Suppression and synchronization of chaos in uncertain time-delay physical system. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 39(3). 416–437. 1 indexed citations
7.
Mesbah, Mostefa, Muhammad Shafiq, Ashraf Saleem, Hassan Yousef, & Hisham M. Soliman. (2023). A data-driven controller for position tracking of a long-stroke piezoelectric actuator. Microsystem Technologies. 29(2). 211–221.
8.
Saleem, Ashraf, Mostefa Mesbah, & Muhammad Shafiq. (2021). Feedback–feedforward control for high-speed trajectory tracking of an amplified piezoelectric actuator. Smart Materials and Structures. 30(2). 25033–25033. 10 indexed citations
9.
Ahmad, Israr & Muhammad Shafiq. (2021). Synchronization control of externally disturbed chaotic spacecraft in pre-assigned settling time. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 236(1). 87–106. 8 indexed citations
10.
Haris, Muhammad, et al.. (2021). A Nonlinear Adaptive Controller for the Synchronization of Unknown Identical Chaotic Systems. Arabian Journal for Science and Engineering. 46(10). 10097–10112. 10 indexed citations
11.
Shafiq, Muhammad & Israr Ahmad. (2019). Multi-Switching Combination Anti-synchronization of Unknown Hyperchaotic Systems. Arabian Journal for Science and Engineering. 44(8). 7335–7350. 13 indexed citations
12.
Shafiq, Muhammad, Ashraf Saleem, & Mostefa Mesbah. (2018). Model-free data driven control for trajectory tracking of an amplified piezoelectric actuator. Sensors and Actuators A Physical. 279. 27–35. 17 indexed citations
13.
Shafiq, Muhammad, et al.. (2015). Lyapunov Function Based Neural Networks for Adaptive Tracking of Robotic Arm. International Journal of Materials Mechanics and Manufacturing. 5(1). 37–41. 2 indexed citations
14.
Shafiq, Muhammad, et al.. (2011). Utilizing higher-order neural networks in U-model based controllers for stable nonlinear plants. International Journal of Control Automation and Systems. 9(3). 489–496. 21 indexed citations
15.
Ali, Syed Saad Azhar, Muhammad Shafiq, Fouad M. AL‐Sunni, & J.M. Bakhashwain. (2008). MIMO U-model based control: real-time tracking control and feedback analysis via small gain theorem. WSEAS Transactions on Circuits and Systems archive. 7(7). 610–619. 11 indexed citations
16.
Ali, Syed Saad Azhar, Fouad M. AL‐Sunni, Muhammad Shafiq, & J.M. Bakhashwain. (2007). Learning feedforward control of MIMO nonlinear systems using U-model. 278–283. 5 indexed citations
17.
Shafiq, Muhammad, et al.. (2004). Inverse model based adaptive control of magnetic levitation system. Asian Control Conference. 3. 1414–1418. 10 indexed citations
18.
Shafiq, Muhammad. (2003). NLMS Based Adaptive Control of Stable Plants. American Journal of Health Behavior. 36(1). 44–55.
19.
Lü, Jinhu, Muhammad Shafiq, & Takashi Yahagi. (1997). A Method for Adaptive Control of Nonminimum Phase Continuous-Time Systems Based on Pole-Zero Placement. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(6). 1109–1115. 5 indexed citations
20.
Shafiq, Muhammad, Jianming Liu, & Takashi Yahagi. (1996). A New Method for Self-Tuning Control of Nonminimum Phase Continuous-Time Systems Based on Pole-Zero Placement. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 79(4). 578–583. 5 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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