A.E. Matouk

2.1k citations
55 papers · 1.6k · h-index 24

Impact in

Papers in

A.E. Matouk

53 papers receiving 1.6k citations

Peers

A.E. Matouk
Comparison fields: 5 of 80
  • Modeling and Simulation 754
  • Statistical and Nonlinear Physics 986
  • Computer Networks and Communications 502
  • Public Health, Environmental and Occupational Health 467
  • Geometry and Topology 130
Replace Marius‐F. Danca with:
Marius‐F. Danca Romania
Peiluan Li China
Adel Ouannas Algeria
Zixin Liu China
Chengdai Huang China
Maoxin Liao China
Ranchao Wu China
Chaouki Aouiti Tunisia
M. M. El‐Dessoky Egypt
A.E. Matouk relative to Marius‐F. Danca Romania Marius‐F. Danca's profile →
Citations per field
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Citations per year

Countries citing papers authored by A.E. Matouk

Since Specialization
Citations

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

Fields of papers citing papers by A.E. Matouk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014148
2 2010139
3 2012106
4 200994
5 201591
6 201585
7 201181
8 201676
9 200757
10 202055
11 201343
12 201537
13 201637
14 202037
15 201435
16 200534
17 200734
18 201933
19 202130
20 201730

About A.E. Matouk

A.E. Matouk is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Computer Networks and Communications, Public Health, Environmental and Occupational Health and Geometry and Topology, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chaos control and synchronization (33 papers), Fractional Differential Equations Solutions (29 papers), Nonlinear Dynamics and Pattern Formation (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Nonlinear Waves and Solitons (10 papers), Quantum chaos and dynamical systems (8 papers), COVID-19 epidemiological studies (5 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Modeling and Simulation (754 citations), Statistical and Nonlinear Physics (986 citations), Computer Networks and Communications (502 citations), Public Health, Environmental and Occupational Health (467 citations) and Geometry and Topology (130 citations). A.E. Matouk has collaborated with scholars based in Saudi Arabia, Egypt and India. Frequent co-authors include A. A. Elsadany, A. S. Hegazi, H.N. Agiza, E. Ahmed, Amr Elsonbaty, A. M. A. El‐Sayed, A. Elsaid, A. Al-khedhairi, Mahmoud Owais and Ilyas Khan. Their work appears in journals such as Chaos Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation, Journal of Advanced Research, Complexity and Applied Mathematics Letters.

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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