Muhammad Shafiq

128 total papers · 982 total citations
95 papers, 740 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 95 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 53 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 (34 papers), Chaos control and synchronization (24 papers) and Adaptive Control of Nonlinear Systems (21 papers). Muhammad Shafiq is often cited by papers focused on Iterative Learning Control Systems (34 papers), Chaos control and synchronization (24 papers) and Adaptive Control of Nonlinear Systems (21 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, Ashraf Saleem, Syed Saad Azhar Ali, M. Mossa Al-Sawalha, 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 709 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Muhammad Shafiq	393	206	199	105	97	95	740
Lin Pan	331 0.8×	208 1.0×	189 0.9×	51 0.5×	91 0.9×	41	738
Gianfranco Parlangeli	272 0.7×	372 1.8×	75 0.4×	97 0.9×	37 0.4×	60	694
Suwat Kuntanapreeda	334 0.8×	210 1.0×	284 1.4×	22 0.2×	206 2.1×	70	818
H.J.C. Huijberts	468 1.2×	301 1.5×	227 1.1×	60 0.6×	32 0.3×	48	739
Juhng-Perng Su	396 1.0×	150 0.7×	178 0.9×	19 0.2×	174 1.8×	37	648
Hugues Rafaralahy	530 1.3×	154 0.7×	158 0.8×	34 0.3×	41 0.4×	38	903
Qijia Yao	573 1.5×	192 0.9×	130 0.7×	49 0.5×	90 0.9×	78	907
Minh Hoang Trinh	297 0.8×	628 3.0×	114 0.6×	74 0.7×	44 0.5×	55	750
Jérôme Jouffroy	587 1.5×	192 0.9×	47 0.2×	363 3.5×	52 0.5×	70	905
Jian Liu	286 0.7×	174 0.8×	60 0.3×	29 0.3×	82 0.8×	64	633

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

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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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