M. M. Khader

110 total papers · 2.0k total citations
90 papers, 1.7k citations indexed

About

M. M. Khader is a scholar working on Modeling and Simulation, Numerical Analysis and Biomedical Engineering. According to data from OpenAlex, M. M. Khader has authored 90 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Modeling and Simulation, 39 papers in Numerical Analysis and 33 papers in Biomedical Engineering. Recurrent topics in M. M. Khader's work include Fractional Differential Equations Solutions (63 papers), Nanofluid Flow and Heat Transfer (33 papers) and Iterative Methods for Nonlinear Equations (26 papers). M. M. Khader is often cited by papers focused on Fractional Differential Equations Solutions (63 papers), Nanofluid Flow and Heat Transfer (33 papers) and Iterative Methods for Nonlinear Equations (26 papers). M. M. Khader collaborates with scholars based in Egypt, Saudi Arabia and Bangladesh. M. M. Khader's co-authors include N. H. Sweilam, Ahmed M. Megahed, Khaled M. Saad, Mohamed Adel, A. M. Nagy, A. M. S. Mahdy, H. M. Srivastava, Sunil Kumar, Ahmed S. Hendy and Talaat S. El‐Danaf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Journal of Heat Transfer.

In The Last Decade

M. M. Khader

88 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
M. M. Khader 1.2k 768 516 401 360 90 1.7k
M. M. Khader 1.6k 1.4× 1.1k 1.4× 367 0.7× 236 0.6× 218 0.6× 98 2.1k
Rania Saadeh 850 0.7× 506 0.7× 278 0.5× 212 0.5× 178 0.5× 119 1.4k
Aytaç Arıkoğlu 986 0.8× 706 0.9× 439 0.9× 414 1.0× 266 0.7× 34 1.8k
Naeem Faraz 709 0.6× 355 0.5× 664 1.3× 395 1.0× 349 1.0× 64 1.5k
Ndolane Sene 1.3k 1.1× 431 0.6× 329 0.6× 213 0.5× 147 0.4× 72 1.8k
Moustafa El-Shahed 1.5k 1.3× 709 0.9× 433 0.8× 99 0.2× 303 0.8× 93 2.1k
S. Kumbinarasaiah 798 0.7× 384 0.5× 342 0.7× 190 0.5× 260 0.7× 96 1.3k
Shao-Wen Yao 1.1k 1.0× 383 0.5× 302 0.6× 235 0.6× 174 0.5× 145 2.3k
Anas A. M. Arafa 1.0k 0.9× 468 0.6× 1.0k 2.0× 773 1.9× 709 2.0× 88 2.1k
Vasile Marinca 1.6k 1.4× 1.0k 1.3× 787 1.5× 363 0.9× 326 0.9× 88 2.3k

Countries citing papers authored by M. M. Khader

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Khader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Khader

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