Mutaz Mohammad

686 total citations
40 papers, 505 citations indexed

About

Mutaz Mohammad is a scholar working on Modeling and Simulation, Applied Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mutaz Mohammad has authored 40 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Modeling and Simulation, 15 papers in Applied Mathematics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mutaz Mohammad's work include Fractional Differential Equations Solutions (18 papers), Mathematical Analysis and Transform Methods (9 papers) and Image and Signal Denoising Methods (7 papers). Mutaz Mohammad is often cited by papers focused on Fractional Differential Equations Solutions (18 papers), Mathematical Analysis and Transform Methods (9 papers) and Image and Signal Denoising Methods (7 papers). Mutaz Mohammad collaborates with scholars based in United Arab Emirates, Russia and United States. Mutaz Mohammad's co-authors include Fares M. Howari, Muhammad Ramzan, Carlo Cattani, Jae Dong Chung, Dianchen Lu, Mohammed Alshbool, Muhammad Bilal, Muhammad Suleman, Osman Raşit Işık and Ishak Hashim and has published in prestigious journals such as Scientific Reports, Physics of Fluids and Chaos Solitons & Fractals.

In The Last Decade

Mutaz Mohammad

34 papers receiving 481 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mutaz Mohammad United Arab Emirates 15 228 169 141 139 126 40 505
Muhammad Khalid Pakistan 12 161 0.7× 210 1.2× 32 0.2× 147 1.1× 159 1.3× 57 467
Asmat Ara Pakistan 16 561 2.5× 278 1.6× 115 0.8× 136 1.0× 185 1.5× 38 850
Azhar Iqbal Pakistan 16 234 1.0× 395 2.3× 48 0.3× 303 2.2× 264 2.1× 55 723
Edyta� Hetmaniok Poland 12 213 0.9× 56 0.3× 54 0.4× 147 1.1× 80 0.6× 86 504
Hany N. Hassan Egypt 12 282 1.2× 97 0.6× 54 0.4× 56 0.4× 56 0.4× 29 417
Bandar Bin‐Mohsin Saudi Arabia 13 80 0.4× 137 0.8× 137 1.0× 100 0.7× 100 0.8× 87 491
Muhammad Suleman Pakistan 16 290 1.3× 366 2.2× 45 0.3× 292 2.1× 251 2.0× 33 687
Shuang-Shuang Zhou China 11 128 0.6× 140 0.8× 188 1.3× 125 0.9× 95 0.8× 32 446
Ghasem Barid Loghmani Iran 16 530 2.3× 110 0.7× 166 1.2× 102 0.7× 125 1.0× 78 841
H. R. Mohammadi Daniali Iran 12 404 1.8× 134 0.8× 47 0.3× 37 0.3× 38 0.3× 27 684

Countries citing papers authored by Mutaz Mohammad

Since Specialization
Citations

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

Fields of papers citing papers by Mutaz Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutaz Mohammad

This figure shows the co-authorship network connecting the top 25 collaborators of Mutaz Mohammad. A scholar is included among the top collaborators of Mutaz Mohammad 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 Mutaz Mohammad. Mutaz Mohammad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Mohammad, Mutaz, et al.. (2025). Numerical simulation and nonlinear dynamics in rotating magnetoconvection: Chaos, Attractors, and Stability Transitions. Chaos Solitons & Fractals. 201. 117219–117219.
3.
Mohammad, Mutaz, et al.. (2025). Fractal-induced flow dynamics: Viscous flow around Mandelbrot and Julia sets. Chaos Solitons & Fractals. 199. 116619–116619. 2 indexed citations
4.
Mohammad, Mutaz. (2025). A Tight Wavelet Frames‐Based Method for Numerically Solving Fractional Riccati Differential Equations. Mathematical Methods in the Applied Sciences. 2 indexed citations
5.
Nazzal, Yousef, Alina Bărbulescu, Fares M. Howari, et al.. (2025). Heavy Metal Pollution in Arid Urban Environments: Anthropogenic and Geogenic Insights from Road Dust in the United Arab Emirates. Archives of Environmental Contamination and Toxicology. 89(3). 313–334.
6.
Mohammad, Mutaz, et al.. (2024). Computational precision in time fractional PDEs: Euler wavelets and novel numerical techniques. Partial Differential Equations in Applied Mathematics. 12. 100918–100918. 5 indexed citations
7.
Mohammad, Mutaz, et al.. (2024). An advanced algorithm for solving incompressible fluid dynamics: from Navier–Stokes to Poisson equations. The European Physical Journal Special Topics. 234(8). 2191–2208. 8 indexed citations
8.
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Mohammad, Mutaz, et al.. (2024). AI-Driven Earthquake Prediction Using FEM and Framelet Collocation. 46–50. 1 indexed citations
10.
Mohammad, Mutaz, et al.. (2024). High-precision Euler wavelet methods for fractional Navier–Stokes equations and two-dimensional fluid dynamics. Physics of Fluids. 36(12). 9 indexed citations
11.
Mohammad, Mutaz, et al.. (2023). Stress state and waves in the lithospheric plate simulation: A 3rd generation AI architecture. Results in Physics. 53. 106938–106938. 7 indexed citations
12.
Mohammad, Mutaz, et al.. (2021). The dynamics of COVID-19 in the UAE based on fractional derivative modeling using Riesz wavelets simulation. Advances in Difference Equations. 2021(1). 115–115. 28 indexed citations
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Mohammad, Mutaz, et al.. (2020). Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling. Chaos Solitons & Fractals. 138. 109991–109991. 23 indexed citations
15.
Mohammad, Mutaz, et al.. (2020). On the dynamical modeling of COVID-19 involving Atangana–Baleanu fractional derivative and based on Daubechies framelet simulations. Chaos Solitons & Fractals. 140. 110171–110171. 26 indexed citations
16.
Mohammad, Mutaz, et al.. (2020). Fractional nonlinear Volterra–Fredholm integral equations involving Atangana–Baleanu fractional derivative: framelet applications. Advances in Difference Equations. 2020(1). 14 indexed citations
17.
Lu, Dianchen, Mutaz Mohammad, Muhammad Ramzan, et al.. (2019). MHD Boundary Layer Flow of Carreau Fluid over a Convectively Heated Bidirectional Sheet with Non-Fourier Heat Flux and Variable Thermal Conductivity. Symmetry. 11(5). 618–618. 31 indexed citations
18.
Lu, Dianchen, Muhammad Ramzan, Mutaz Mohammad, Fares M. Howari, & Jae Dong Chung. (2019). A Thin Film Flow of Nanofluid Comprising Carbon Nanotubes Influenced by Cattaneo-Christov Heat Flux and Entropy Generation. Coatings. 9(5). 296–296. 37 indexed citations
19.
Ramzan, Muhammad, Mutaz Mohammad, & Fares M. Howari. (2019). Magnetized suspended carbon nanotubes based nanofluid flow with bio-convection and entropy generation past a vertical cone. Scientific Reports. 9(1). 12225–12225. 59 indexed citations
20.
Mohammad, Mutaz, et al.. (2019). Oral Health Status of Athletes with Intellectual Disabilities: A Review. Open Access Macedonian Journal of Medical Sciences. 7(12). 2044–2049. 4 indexed citations

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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