Fayequa B. Majid

24 total papers · 684 total citations
22 papers, 619 citations indexed

About

Fayequa B. Majid is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Geometry and Topology. According to data from OpenAlex, Fayequa B. Majid has authored 22 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistical and Nonlinear Physics, 14 papers in Atomic and Molecular Physics, and Optics and 2 papers in Geometry and Topology. Recurrent topics in Fayequa B. Majid's work include Nonlinear Photonic Systems (14 papers), Advanced Fiber Laser Technologies (13 papers) and Nonlinear Waves and Solitons (13 papers). Fayequa B. Majid is often cited by papers focused on Nonlinear Photonic Systems (14 papers), Advanced Fiber Laser Technologies (13 papers) and Nonlinear Waves and Solitons (13 papers). Fayequa B. Majid collaborates with scholars based in United States, Saudi Arabia and South Africa. Fayequa B. Majid's co-authors include Anjan Biswas, Daniela Milović, Qin Zhou, Milivoj R. Belić, Mehmet Ekici, Abdullah Sönmezoğlu, Mohammad Mirzazadeh, Seithuti P. Moshokoa, Russell Kohl and Houria Triki and has published in prestigious journals such as Chemical Physics Letters, Nonlinear Dynamics and Mathematical Biosciences.

In The Last Decade

Fayequa B. Majid

22 papers receiving 590 citations

Author Peers

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

Author Last Decade Papers Cites
Fayequa B. Majid 572 313 156 76 42 22 619
A. A. Al Qarni 490 0.9× 257 0.8× 138 0.9× 65 0.9× 43 1.0× 20 536
Alphonse Houwe 567 1.0× 297 0.9× 164 1.1× 46 0.6× 28 0.7× 38 617
Anupma Bansal 480 0.8× 208 0.7× 126 0.8× 69 0.9× 26 0.6× 18 521
Melih Çinar 548 1.0× 183 0.6× 221 1.4× 74 1.0× 70 1.7× 33 606
Lu Tang 471 0.8× 259 0.8× 101 0.6× 77 1.0× 27 0.6× 28 499
Shafqat-Ur-Rehman 654 1.1× 186 0.6× 273 1.8× 81 1.1× 64 1.5× 23 696
Ifrah Iqbal 457 0.8× 184 0.6× 168 1.1× 66 0.9× 49 1.2× 37 518
Muhammad Tahir 638 1.1× 266 0.8× 231 1.5× 101 1.3× 39 0.9× 22 698
M.M. Latha 486 0.8× 257 0.8× 92 0.6× 21 0.3× 27 0.6× 40 546
Thomas Bouetou Bouetou 455 0.8× 242 0.8× 87 0.6× 37 0.5× 19 0.5× 32 519

Countries citing papers authored by Fayequa B. Majid

Since Specialization
Citations

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

Fields of papers citing papers by Fayequa B. Majid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fayequa B. Majid. 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 Fayequa B. Majid. The network helps show where Fayequa B. Majid may publish in the future.

Co-authorship network of co-authors of Fayequa B. Majid

This figure shows the co-authorship network connecting the top 25 collaborators of Fayequa B. Majid. A scholar is included among the top collaborators of Fayequa B. Majid 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 Fayequa B. Majid. Fayequa B. Majid 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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