Muhammad Ayub

39 total papers · 407 total citations
28 papers, 308 citations indexed

About

Muhammad Ayub is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Muhammad Ayub has authored 28 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 20 papers in Control and Systems Engineering and 12 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Muhammad Ayub's work include Electric Motor Design and Analysis (19 papers), Magnetic Bearings and Levitation Dynamics (16 papers) and Magnetic Properties and Applications (12 papers). Muhammad Ayub is often cited by papers focused on Electric Motor Design and Analysis (19 papers), Magnetic Bearings and Levitation Dynamics (16 papers) and Magnetic Properties and Applications (12 papers). Muhammad Ayub collaborates with scholars based in South Korea, Pakistan and United Kingdom. Muhammad Ayub's co-authors include Byung‐il Kwon, Syed Sabir Hussain Bukhari, Asif Hussain, Shahid Atiq, Jong‐Suk Ro, Xiandong Ma, Muhammad Atif Butt, George Aggidis, Sarmad Shafique and Asad Masood Khattak and has published in prestigious journals such as IEEE Access, Energies and IEEE Transactions on Magnetics.

In The Last Decade

Muhammad Ayub

27 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Muhammad Ayub	244	195	86	25	24	28	308
S. Taib	242 1.0×	114 0.6×	42 0.5×	26 1.0×	52 2.2×	25	355
Mina M. Rahimian	134 0.5×	217 1.1×	42 0.5×	18 0.7×	142 5.9×	23	339
A.C. Renfrew	181 0.7×	174 0.9×	29 0.3×	24 1.0×	83 3.5×	39	356
Yi Feng	232 1.0×	180 0.9×	29 0.3×	23 0.9×	34 1.4×	33	339
Amar Bousbaine	188 0.8×	110 0.6×	108 1.3×	15 0.6×	109 4.5×	35	289
Libero Paolucci	235 1.0×	102 0.5×	16 0.2×	20 0.8×	37 1.5×	34	355
Md Tawhid Bin Tarek	249 1.0×	185 0.9×	81 0.9×	5 0.2×	81 3.4×	24	318
Yazan A. Alqudah	199 0.8×	61 0.3×	22 0.3×	25 1.0×	9 0.4×	39	357
Venera Nurmanova	240 1.0×	129 0.7×	26 0.3×	6 0.2×	51 2.1×	29	305
Jingfeng Mao	179 0.7×	92 0.5×	17 0.2×	46 1.8×	23 1.0×	29	310

Countries citing papers authored by Muhammad Ayub

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Ayub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ayub

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ayub. A scholar is included among the top collaborators of Muhammad Ayub 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 Ayub. Muhammad Ayub 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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