M. Kassem

30 papers receiving 400 citations

Peers

M. Kassem
Comparison fields: 5 of 34
  • Modeling and Simulation 172
  • Statistical and Nonlinear Physics 273
  • Numerical Analysis 47
  • Geometry and Topology 75
  • Computational Mechanics 86
Replace S. M. Mabrouk with:
S. M. Mabrouk Egypt
K. Fakhar Malaysia
Sadaf Bibi Pakistan
Liu Guan-ting China
Jorge Fujioka Mexico
Elisa Davoli Austria
Maria Stella Gelli Italy
Miyuki Koiso Japan
Yong Guo China
M. W. Majewski Poland
M. Kassem relative to S. M. Mabrouk Egypt S. M. Mabrouk's profile →
Citations per field
00.5×2.7×
S. M. Mabrouk · 1×
Citations per year

Countries citing papers authored by M. Kassem

Since Specialization
Citations

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

Fields of papers citing papers by M. Kassem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M. Kassem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Kassem Line = papers co-authored together M. Kassem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 201732
3 201931
4 200726
5 201923
6 201322
7 201820
8 201418
9 200918
10 200517
11 201817
12 200316
13 202015
14 201915
15 201814
16 202013
17 200212
18 201311
19 202110
20 202010

About M. Kassem

M. Kassem is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Biomedical Engineering, Geometry and Topology and Computational Mechanics, having authored 31 papers that have together received 420 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (18 papers), Nonlinear Photonic Systems (12 papers), Fractional Differential Equations Solutions (11 papers), Nanofluid Flow and Heat Transfer (9 papers), Fluid Dynamics and Turbulent Flows (7 papers), Algebraic structures and combinatorial models (7 papers), Heat Transfer Mechanisms (5 papers) and Quantum Mechanics and Non-Hermitian Physics (3 papers). The work is most often cited by research in Modeling and Simulation (172 citations), Statistical and Nonlinear Physics (273 citations), Numerical Analysis (47 citations), Geometry and Topology (75 citations) and Computational Mechanics (86 citations). M. Kassem has collaborated with scholars based in Egypt, United States and South Africa. Frequent co-authors include Ahmed S. Rashed, S. M. Mabrouk, R. Sadat, Mina B. Abd‐el‐Malek, Wen‐Xiu Ma, Tarek A. Mahmoud, Mohamed M. Mousa and Emad A. Mohamed. Their work appears in journals such as Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, Mathematical Methods in the Applied Sciences, Chaos Solitons & Fractals and Ain Shams Engineering Journal.

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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