A. S. Al-Fhaid

600 citations
25 papers · 465 indexed · h-index 12
Topics
Iterative Methods for Nonlinear Equations (8 papers)Advanced Optimization Algorithms Research (7 papers)Matrix Theory and Algorithms (7 papers)
Partner nations
Saudi ArabiaIranSpain

In The Last Decade

A. S. Al-Fhaid

23 papers receiving 451 citations

Peers

A. S. Al-Fhaid
Comparison fields: 5 of 61
  • Numerical Analysis 174
  • Modeling and Simulation 173
  • Computational Theory and Mathematics 114
  • Control and Systems Engineering 111
  • Mechanics of Materials 69
Replace Mihaela Negreanu with:
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A.M. Vargas Spain
Edyta� Hetmaniok Poland
Jianxiong Cao China
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Huilai Li China
Adel A. El‐Sayed Egypt
A. S. Al-Fhaid relative to Mihaela Negreanu Spain Mihaela Negreanu's profile →
Citations per field
00.5×1.5×2.5×
Mihaela Negreanu · 1×
Citations per year

Countries citing papers authored by A. S. Al-Fhaid

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Al-Fhaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. Al-Fhaid. 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 A. S. Al-Fhaid. The network helps show where A. S. Al-Fhaid may publish in the future.

Co-authorship network of co-authors of A. S. Al-Fhaid

This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Al-Fhaid. A scholar is included among the top collaborators of A. S. Al-Fhaid 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 A. S. Al-Fhaid. A. S. Al-Fhaid 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
#WorkIndexed citations
1 45
2 10
3 2
4 7
5 20
6 10
7 7
8 77
9 51
10 23
11 22
12 9
13 15
14 19
15 9
16
New Exact Solutions for the Modified KdV-KP Equation Using the Extended F-Expansion Method
4
17 0
18 0
19 8
20 25

About A. S. Al-Fhaid

A. S. Al-Fhaid is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 25 papers that have together received 465 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (8 papers), Advanced Optimization Algorithms Research (7 papers) and Matrix Theory and Algorithms (7 papers). The work is most often cited by research in Modeling and Simulation (173 citations), Numerical Analysis (174 citations) and Computational Theory and Mathematics (114 citations). A. S. Al-Fhaid has collaborated with scholars based in Saudi Arabia, Iran and Spain. Frequent co-authors include Sirajul Islam, Imran Aziz, Malik Zaka Ullah, Asim Asiri, Bao‐Zhu Guo, Fazlollah Soleymani, A.S. Wood, Jun‐Jun Liu, Hua‐Cheng Zhou and Fayyaz Ahmad. Their work appears in journals such as PLoS ONE, Journal of Theoretical Biology and PLoS Computational Biology.

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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