Abdullah Shah

1.2k total citations
83 papers, 966 citations indexed

About

Abdullah Shah is a scholar working on Computational Mechanics, Numerical Analysis and Materials Chemistry. According to data from OpenAlex, Abdullah Shah has authored 83 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computational Mechanics, 26 papers in Numerical Analysis and 20 papers in Materials Chemistry. Recurrent topics in Abdullah Shah's work include Solidification and crystal growth phenomena (17 papers), Advanced Numerical Methods in Computational Mathematics (15 papers) and Advanced Optimization Algorithms Research (15 papers). Abdullah Shah is often cited by papers focused on Solidification and crystal growth phenomena (17 papers), Advanced Numerical Methods in Computational Mathematics (15 papers) and Advanced Optimization Algorithms Research (15 papers). Abdullah Shah collaborates with scholars based in Pakistan, China and Saudi Arabia. Abdullah Shah's co-authors include Li Yuan, Jamilu Sabi’u, Mohammed Yusuf Waziri, Saeed Islam, Chao Zhou, Aftab Ahmad Khan, M Sabir, Peter Bastian, Ishtiaq Ali and Seyed Mehdi Mirhosseini-Alizamini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and RSC Advances.

In The Last Decade

Abdullah Shah

77 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah Shah Pakistan 16 464 287 158 142 122 83 966
Kejia Pan China 20 533 1.1× 340 1.2× 220 1.4× 90 0.6× 146 1.2× 129 1.4k
L. Gavete Spain 20 673 1.5× 218 0.8× 207 1.3× 46 0.3× 115 0.9× 51 1.4k
Francisco Ureña Spain 18 612 1.3× 256 0.9× 235 1.5× 41 0.3× 123 1.0× 60 1.4k
Eun‐Jae Park South Korea 22 803 1.7× 217 0.8× 162 1.0× 57 0.4× 456 3.7× 111 1.4k
Martin Weiser Germany 19 261 0.6× 237 0.8× 67 0.4× 65 0.5× 182 1.5× 106 1.1k
Robert M. M. Mattheij Netherlands 7 273 0.6× 488 1.7× 149 0.9× 34 0.2× 186 1.5× 17 1.1k
Francisco Guillén‐González Spain 19 586 1.3× 160 0.6× 150 0.9× 399 2.8× 346 2.8× 91 1.2k
Yanzhao Cao United States 18 741 1.6× 257 0.9× 247 1.6× 36 0.3× 461 3.8× 86 1.5k
Clemens Heitzinger Austria 21 166 0.4× 100 0.3× 94 0.6× 126 0.9× 84 0.7× 125 1.1k

Countries citing papers authored by Abdullah Shah

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Shah. A scholar is included among the top collaborators of Abdullah Shah 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 Abdullah Shah. Abdullah Shah 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.
Hayat, Khizar, et al.. (2025). First-Principles insights and SCAPS-1D simulations for optimizing MASnBr3-based perovskite solar cells. Computational Materials Science. 250. 113699–113699. 7 indexed citations
2.
3.
Shah, Abdullah, et al.. (2024). A new scaled BFGS method for convex constraints monotone systems: Applications in motion control. Results in Applied Mathematics. 25. 100531–100531. 1 indexed citations
4.
Haq, Fazal, et al.. (2024). Comparison of Approximate Analytical and Numerical Solutions of the Allen Cahn Equation. International Journal of Differential Equations. 2024. 1–9. 4 indexed citations
5.
Hayat, Khizar, Vineet Tirth, Ali Algahtani, et al.. (2023). Investigation of conduction mechanism and UV light response of vertically grown ZnO nanorods on an interdigitated electrode substrate. RSC Advances. 13(29). 20198–20208. 5 indexed citations
6.
Stanimirović, Predrag S., et al.. (2023). Improved Gradient Descent Iterations for Solving Systems of Nonlinear Equations. Algorithms. 16(2). 64–64. 5 indexed citations
7.
Hayat, Khizar, Ejaz Ahmad, Kashif Safeen, et al.. (2023). ZnO-based inverted organic solar cells: a comparative analysis of simulation and experimental devices. Physica Scripta. 98(11). 115962–115962. 6 indexed citations
8.
Shah, Abdullah, et al.. (2023). An operator splitting scheme for numerical simulation of spinodal decomposition and microstructure evolution of binary alloys. Heliyon. 9(6). e16597–e16597. 3 indexed citations
9.
Shah, Abdullah, et al.. (2023). A performance comparison of machine learning models for stock market prediction with novel investment strategy. PLoS ONE. 18(9). e0286362–e0286362. 9 indexed citations
10.
Sabi’u, Jamilu, Kazeem Olalekan Aremu, Ali Althobaiti, & Abdullah Shah. (2022). Scaled Three-Term Conjugate Gradient Methods for Solving Monotone Equations with Application. Symmetry. 14(5). 936–936. 7 indexed citations
11.
Yousaf, Arfan, et al.. (2021). Emergence of Antimicrobial Resistance and Interaction Between Humans, Animals and Environment. International Journal of Veterinary Science. 331–339.
12.
Sabi’u, Jamilu, et al.. (2021). A Modified PRP-CG Type Derivative-Free Algorithm with Optimal Choices for Solving Large-Scale Nonlinear Symmetric Equations. Symmetry. 13(2). 234–234. 8 indexed citations
13.
Sabi’u, Jamilu, Abdullah Shah, & Mohammed Yusuf Waziri. (2021). A modified Hager-Zhang conjugate gradient method with optimal choices for solving monotone nonlinear equations. International Journal of Computer Mathematics. 99(2). 332–354. 21 indexed citations
14.
Sabi’u, Jamilu, et al.. (2021). An Inexact Optimal Hybrid Conjugate Gradient Method for Solving Symmetric Nonlinear Equations. Symmetry. 13(10). 1829–1829. 8 indexed citations
15.
Abubakar, Auwal Bala, Jamilu Sabi’u, Poom Kumam, & Abdullah Shah. (2021). Solving nonlinear monotone operator equations via modified SR1 update. Journal of Applied Mathematics and Computing. 67(1-2). 343–373. 18 indexed citations
16.
Rauf, Abdul, et al.. (2021). A numerical method for solution of incompressible Navier–Stokes equations in streamfunction‐vorticity formulation. Computational and Mathematical Methods. 3(6). 6 indexed citations
17.
Sabi’u, Jamilu & Abdullah Shah. (2020). An efficient three-term conjugate gradient-type algorithm for monotone nonlinear equations. RAIRO - Operations Research. 55. S1113–S1127. 13 indexed citations
18.
Shah, Abdullah, et al.. (2018). AN IMPLICIT NUMERICAL SCHEME FOR SOLUTION OF INCOMPRESSIBLE NAVIER-STOKES EQUATIONS ON CURVILINEAR GRIDS. Bulletin of the Korean Mathematical Society. 55(3). 881–898.
19.
Munir, Arshad, et al.. (2013). Simulation of Incompressible Flow in Two Sided Lid Driven Cavity using Upwind Compact Scheme. CFD letters. 5(3). 57–66. 2 indexed citations
20.
Shah, Abdullah, et al.. (2009). A Third-Order Upwind Compact Scheme on Curvilinear Meshes for the Incompressible Navier-Stokes Equations. Communications in Computational Physics. 18 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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