Abdullah Shah

1.3k citations
82 papers · 1.0k · h-index 17

Impact in

Papers in

    • Advanced Numerical Methods in Computational Mathematics 14
    • Computational Fluid Dynamics and Aerodynamics 12
    • Fluid Dynamics and Turbulent Flows 11
    • Advanced Optimization Algorithms Research 15
    • Iterative Methods for Nonlinear Equations 10
    • Numerical methods for differential equations 7

Abdullah Shah

77 papers receiving 967 citations

Peers

Abdullah Shah
Comparison fields: 5 of 97
  • Numerical Analysis 295
  • Modeling and Simulation 156
  • Computational Mechanics 472
  • Statistical and Nonlinear Physics 118
  • Mathematical Physics 77
Replace Martin Weiser with:
Martin Weiser Germany
Abner J. Salgado United States
Robert M. M. Mattheij Netherlands
Kejia Pan China
Davoud Mirzaei Iran
Yanzhao Cao United States
Sören Bartels Germany
Abdullah Shah relative to Martin Weiser Germany Martin Weiser's profile →
Citations per field
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Martin Weiser · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202186
2 202160
3 201258
4 200955
5 202050
6 200948
7 202034
8 201827
9 201924
10 201024
11 202123
12 202123
13 202122
14 200919
15 201619
16 202118
17 202217
18 200815
19 201415
20 202315

About Abdullah Shah

Abdullah Shah is a scholar working on Computational Mechanics, Numerical Analysis, Materials Chemistry, Computational Theory and Mathematics and Modeling and Simulation, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Solidification and crystal growth phenomena (16 papers), Advanced Optimization Algorithms Research (15 papers), Advanced Numerical Methods in Computational Mathematics (14 papers), Computational Fluid Dynamics and Aerodynamics (12 papers), Fluid Dynamics and Turbulent Flows (11 papers), Iterative Methods for Nonlinear Equations (10 papers), Fractional Differential Equations Solutions (10 papers) and Numerical methods for differential equations (7 papers). The work is most often cited by research in Numerical Analysis (295 citations), Modeling and Simulation (156 citations), Computational Mechanics (472 citations), Statistical and Nonlinear Physics (118 citations) and Mathematical Physics (77 citations). Abdullah Shah has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent 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. Their work appears in journals such as AIP Advances, Communications in Nonlinear Science and Numerical Simulation, Symmetry, International Journal of Computational Methods and RSC Advances.

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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