M.A. Abdou

226 papers receiving 5.6k citations

Peers

M.A. Abdou
Comparison fields: 5 of 94
  • Modeling and Simulation 4.0k
  • Statistical and Nonlinear Physics 4.4k
  • Numerical Analysis 1.5k
  • Mathematical Physics 429
  • Applied Mathematics 497
Replace S. Saha Ray with:
S. Saha Ray India
Jalil Manafian Iran
Mostafa Eslami Iran
Ahmet Bekir Türkiye
Hadi Rezazadeh Iran
Mostafa M. A. Khater Egypt
Nail H. Ibragimov Sweden
Marwan Alquran Jordan
Lanre Akinyemi United States
Mohammad Mirzazadeh Iran
M.A. Abdou relative to S. Saha Ray India S. Saha Ray's profile →
Citations per field
00.5×1.5×
S. Saha Ray · 1×
Citations per year

Countries citing papers authored by M.A. Abdou

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Abdou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.A. Abdou, 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.A. Abdou Line = papers co-authored together M.A. Abdou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004457
2 2006434
3 2005385
4 2006310
5 2005297
6 2007259
7 2005138
8 2007116
9 2006113
10 2005100
11 200696
12 202194
13 200588
14 200784
15 200677
16 201774
17 202071
18 200769
19 200769
20 202166

About M.A. Abdou

M.A. Abdou is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Numerical Analysis, Applied Mathematics and Mechanics of Materials, having authored 233 papers that have together received 6.3k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (148 papers), Nonlinear Waves and Solitons (104 papers), Nonlinear Photonic Systems (79 papers), Numerical methods in engineering (33 papers), Differential Equations and Numerical Methods (30 papers), Differential Equations and Boundary Problems (26 papers), Iterative Methods for Nonlinear Equations (21 papers) and Mathematical functions and polynomials (17 papers). The work is most often cited by research in Modeling and Simulation (4.0k citations), Statistical and Nonlinear Physics (4.4k citations), Numerical Analysis (1.5k citations), Mathematical Physics (429 citations) and Applied Mathematics (497 citations). M.A. Abdou has collaborated with scholars based in Egypt, Saudi Arabia and India. Frequent co-authors include A.A. Soliman, S.A. El-Wakil, Ji‐Huan He, A. Elhanbaly, Sachin Kumar, Essam M. Abulwafa, Saud Owyed, Loubna Ouahid, Abeer A. Mahmoud and S. Saha Ray. Their work appears in journals such as Applied Mathematics and Computation, Chaos Solitons & Fractals, Journal of Computational and Applied Mathematics, Journal of Quantitative Spectroscopy and Radiative Transfer and Physics Letters A.

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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