Mohamed M. Mousa
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions 16
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations 12
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- Nonlinear Waves and Solitons 13
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows 5
- Computational Fluid Dynamics and Aerodynamics 4
- Applied Mathematics top 10%
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- Nanofluid Flow and Heat Transfer 7
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- Identification and Quantification in Food 5
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- Meat and Animal Product Quality 5
- Co-authors
- Wen‐Xiu MaMohamed R. AliА. KаltayevM. KassemR. SadatAbdul–Majid WazwazPraveen AgarwalShaher Momani
- Journals
- SHILAP Revista de lepidopterología (1 paper)Chaos Solitons & Fractals (1 paper)Advances in Difference Equations (1 paper)
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Mohamed M. Mousa
36 papers receiving 314 citations
Peers
Comparison fields: 5 of 56
- Modeling and Simulation 153
- Numerical Analysis 90
- Statistical and Nonlinear Physics 123
- Computational Mechanics 79
- Applied Mathematics 29
Countries citing papers authored by Mohamed M. Mousa
This map shows the geographic impact of Mohamed M. Mousa'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 Mohamed M. Mousa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed M. Mousa more than expected).
Fields of papers citing papers by Mohamed M. Mousa
This network shows the impact of papers produced by Mohamed M. Mousa. 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 Mohamed M. Mousa. The network helps show where Mohamed M. Mousa may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Mohamed M. Mousa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 3 | |
| 6 | 2021 | 34 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 34 | |
| 10 | 2018 | 28 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 1 | |
| 13 | 2014 | 3 | |
| 14 | Quality assurance of camel's meat. | 2010 | 1 |
| 15 | 2010 | 3 | |
| 16 | Homotopy Perturbation Padé Technique for Constructing Approximate and Exact Solutions of Boussinesq Equations | 2009 | 2 |
| 17 | 2009 | 5 | |
| 18 | 2009 | 1 | |
| 19 | 2009 | 7 | |
| 20 | 2009 | 1 |
About Mohamed M. Mousa
Mohamed M. Mousa is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics, having authored 41 papers that have together received 362 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (16 papers), Nonlinear Waves and Solitons (13 papers), Iterative Methods for Nonlinear Equations (12 papers), Nanofluid Flow and Heat Transfer (7 papers), Identification and Quantification in Food (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Meat and Animal Product Quality (5 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). The work is most often cited by research in Modeling and Simulation (153 citations), Numerical Analysis (90 citations) and Statistical and Nonlinear Physics (123 citations). Mohamed M. Mousa has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Wen‐Xiu Ma, Mohamed R. Ali, А. Kаltayev, M. Kassem, R. Sadat, Abdul–Majid Wazwaz, Praveen Agarwal, Shaher Momani, Hany M. Youssef and Hasan Bulut. Their work appears in journals such as SHILAP Revista de lepidopterología, Chaos Solitons & Fractals and Advances in Difference Equations.
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.