Mohammed Zidan

30 total papers · 635 total citations
23 papers, 475 citations indexed

About

Mohammed Zidan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Mohammed Zidan has authored 23 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Mohammed Zidan's work include Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum Mechanics and Applications (4 papers). Mohammed Zidan is often cited by papers focused on Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (13 papers) and Quantum Mechanics and Applications (4 papers). Mohammed Zidan collaborates with scholars based in Egypt, Saudi Arabia and Bahrain. Mohammed Zidan's co-authors include Mahmoud Abdel‐Aty, Abdel‐Haleem Abdel‐Aty, Hichem Eleuch, Alaa Sagheer, E. A. Zanaty, Mohammed M. Abdelsamea, Ahmed S.A. Mohamed, Ahmed Younes, Alaa El‐Sadek and Wenjie Liu and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Applied Soft Computing.

In The Last Decade

Mohammed Zidan

22 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammed Zidan 285 136 78 38 29 23 475
Haw‐ren Fang 157 0.6× 36 0.3× 114 1.5× 39 1.0× 12 0.4× 20 517
Jarosław Adam Miszczak 317 1.1× 220 1.6× 86 1.1× 81 2.1× 5 0.2× 43 486
I.G. Sprinkhuizen-Kuyper 332 1.2× 12 0.1× 44 0.6× 23 0.6× 11 0.4× 45 501
Oskar Perron 60 0.2× 26 0.2× 138 1.8× 69 1.8× 21 0.7× 23 547
Bikash K. Behera 398 1.4× 238 1.8× 56 0.7× 9 0.2× 4 0.1× 49 476
Qian Li 104 0.4× 33 0.2× 63 0.8× 307 8.1× 10 0.3× 30 510
Daniel Stilck França 400 1.4× 234 1.7× 67 0.9× 39 1.0× 2 0.1× 27 483
Tianyi Peng 345 1.2× 255 1.9× 37 0.5× 23 0.6× 20 0.7× 22 460
Weiguo Li 109 0.4× 17 0.1× 141 1.8× 8 0.2× 37 1.3× 52 458
W. A. Light 29 0.1× 42 0.3× 127 1.6× 25 0.7× 13 0.4× 35 500

Countries citing papers authored by Mohammed Zidan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Zidan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Zidan

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