Taghreed A. Assiri

552 total citations
34 papers, 445 citations indexed

About

Taghreed A. Assiri is a scholar working on Modeling and Simulation, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Taghreed A. Assiri has authored 34 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Modeling and Simulation, 15 papers in Biomedical Engineering and 12 papers in Computational Mechanics. Recurrent topics in Taghreed A. Assiri's work include Fractional Differential Equations Solutions (17 papers), Nanofluid Flow and Heat Transfer (15 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Taghreed A. Assiri is often cited by papers focused on Fractional Differential Equations Solutions (17 papers), Nanofluid Flow and Heat Transfer (15 papers) and Fluid Dynamics and Turbulent Flows (9 papers). Taghreed A. Assiri collaborates with scholars based in Saudi Arabia, Egypt and Pakistan. Taghreed A. Assiri's co-authors include N. H. Sweilam, Seham M. Al‐Mekhlafi, Abdon Atangana, M. M. Khader, Mohamed Adel, Aatif Ali, Emad E. Mahmoud, Muhammad Bilal, Sayed M. Eldin and Takasar Hussain and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Fluid Flow and Heliyon.

In The Last Decade

Taghreed A. Assiri

30 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taghreed A. Assiri Saudi Arabia 13 231 164 131 104 77 34 445
Shah Jahan India 12 173 0.7× 165 1.0× 144 1.1× 128 1.2× 42 0.5× 46 424
Muhammad Shahzad Pakistan 13 195 0.8× 131 0.8× 99 0.8× 157 1.5× 121 1.6× 42 486
Jamshaid Ul Rahman Pakistan 12 219 0.9× 122 0.7× 67 0.5× 92 0.9× 29 0.4× 45 426
Muneerah Al Nuwairan Saudi Arabia 13 101 0.4× 173 1.1× 137 1.0× 116 1.1× 38 0.5× 44 410
Abeer S. Alnahdi Saudi Arabia 13 169 0.7× 267 1.6× 184 1.4× 173 1.7× 58 0.8× 33 534
Esra Karataş Akgül Türkiye 13 325 1.4× 209 1.3× 171 1.3× 128 1.2× 71 0.9× 38 629
Tao-Qian Tang Taiwan 12 166 0.7× 97 0.6× 55 0.4× 56 0.5× 94 1.2× 18 336
F.M. Allehiany Saudi Arabia 15 119 0.5× 232 1.4× 171 1.3× 150 1.4× 64 0.8× 34 458
Sekson Sirisubtawee Thailand 15 271 1.2× 224 1.4× 160 1.2× 142 1.4× 61 0.8× 48 672
Wafa F. Alfwzan Saudi Arabia 13 92 0.4× 167 1.0× 112 0.9× 92 0.9× 44 0.6× 49 371

Countries citing papers authored by Taghreed A. Assiri

Since Specialization
Citations

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

Fields of papers citing papers by Taghreed A. Assiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taghreed A. Assiri

This figure shows the co-authorship network connecting the top 25 collaborators of Taghreed A. Assiri. A scholar is included among the top collaborators of Taghreed A. Assiri 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 Taghreed A. Assiri. Taghreed A. Assiri 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
1.
Assiri, Taghreed A., et al.. (2024). Applications of partial differential equations to transient heat and mass transfer in MHD flow over a porous medium. Partial Differential Equations in Applied Mathematics. 11. 100893–100893.
2.
Assiri, Taghreed A., et al.. (2024). Numerical paradigm to explore the chemically reacting Williamson nanofluid flow with the influence of bioconvection effects using neural networks. Numerical Heat Transfer Part A Applications. 86(17). 6265–6285. 11 indexed citations
3.
Alam, Md. Nur, Dennis Ling Chuan Ching, Taghreed A. Assiri, et al.. (2024). EXACT SOLUTIONS OF NONLINEAR FRACTIONAL CAHN–ALLEN EQUATION ARIES IN DIFFERENT NONLINEAR PHYSICAL PHENOMENON USING UNIFIED TECHNIQUE. Fractals. 33(3).
4.
Assiri, Taghreed A., Muhammad Bilal, Emad E. Mahmoud, et al.. (2024). Numerical investigation of forced convective MHD tangent hyperbolic nanofluid flow with heat source/sink across a permeable wedge. AIP Advances. 14(6). 9 indexed citations
5.
Rafique, Khuram, et al.. (2024). Keller box numerical analysis of power-law rotating disk for nanofluid flow with chemical reaction. Numerical Heat Transfer Part A Applications. 86(17). 6099–6116. 3 indexed citations
6.
7.
8.
Mahmood, Zafar, et al.. (2023). Impact of an effective Prandtl number model on the flow of nanofluids past an oblique stagnation point on a convective surface. Heliyon. 9(2). e13224–e13224. 34 indexed citations
9.
Adel, Mohamed, et al.. (2023). Numerical Simulation for COVID-19 Model Using a Multidomain Spectral Relaxation Technique. Symmetry. 15(4). 931–931. 13 indexed citations
10.
Ibrahim, Muhammad, et al.. (2023). Influence of dimension variations of a fin and wall emissivity on the nanofluids flow inside a square cavity using the two-phase Lattice Boltzmann method. Engineering Analysis with Boundary Elements. 157. 148–156. 2 indexed citations
11.
Asjad, Muhammad Imran, et al.. (2023). Numerical investigation of fractional Maxwell nano-fluids between two coaxial cylinders via the finite difference approach. Frontiers in Materials. 9. 6 indexed citations
12.
Sweilam, N. H., et al.. (2023). Numerical Simulation for a Hybrid Variable-Order Multi-Vaccination COVID-19 Mathematical Model. Symmetry. 15(4). 869–869. 3 indexed citations
13.
Zafar, Zain Ul Abadin, et al.. (2023). Numerical simulation and analysis of the stochastic HIV/AIDS model in fractional order. Results in Physics. 53. 106995–106995. 17 indexed citations
14.
Hussain, Takasar, et al.. (2021). Sensitivity analysis and optimal control of COVID-19 dynamics based on SEIQR model. Results in Physics. 22. 103956–103956. 40 indexed citations
15.
Sweilam, N. H., et al.. (2021). Optimal control problem of variable-order delay system of advertising procedure: Numerical treatment. Discrete and Continuous Dynamical Systems - S. 15(5). 1247–1247. 11 indexed citations
16.
17.
Sweilam, N. H., et al.. (2016). Numerical solutions of nonlinear fractional Schrödinger equations using nonstandard discretizations. Numerical Methods for Partial Differential Equations. 33(5). 1399–1419. 14 indexed citations
18.
Sweilam, N. H. & Taghreed A. Assiri. (2015). Numerical Scheme for Solving the Space-Time Variable Order Nonlinear Fractional Wave Equation. Progress in Fractional Differentiation and Applications. 1(4). 269–280. 5 indexed citations
19.
Sweilam, N. H. & Taghreed A. Assiri. (2015). Non-Standard Crank-Nicholson Method for Solving the Variable Order Fractional Cable Equation. 9(2). 943–951. 5 indexed citations
20.
Sweilam, N. H. & Taghreed A. Assiri. (2012). Error Analysis of An Explicit Finite Difference Approximation for the Space Fractional Wave Equations. SHILAP Revista de lepidopterología. 17(2). 245–245. 2 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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