Rasool Shah
Impact in
- Modeling and Simulation top 0.05%
- Fractional Differential Equations Solutions
- Numerical Analysis top 0.5%
- Iterative Methods for Nonlinear Equations
- Differential Equations and Numerical Methods
Papers in
-
- Fractional Differential Equations Solutions 158
-
- Iterative Methods for Nonlinear Equations 65
- Differential Equations and Numerical Methods 34
- Co-authors
- Hassan Khan (30 shared papers)Muhammad Arif (20 shared papers)Poom Kumam (17 shared papers)Adnan Khan (14 shared papers)Kamsing Nonlaopon (35 shared papers)Dumitru Bǎleanu (21 shared papers)Humaira Yasmin (32 shared papers)Noufe H. Aljahdaly (10 shared papers)
- Journals
- Symmetry (35 papers)Scientific Reports (7 papers)Complexity (5 papers)AIMS Mathematics (25 papers)Advances in Difference Equations (2 papers)
- Partner nations
- PakistanSaudi ArabiaThailand
In The Last Decade
Rasool Shah
176 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 2.8k
- Numerical Analysis 1.4k
- Statistical and Nonlinear Physics 1.8k
- Applied Mathematics 627
- Statistics and Probability 130
Countries citing papers authored by Rasool Shah
This map shows the geographic impact of Rasool 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 Rasool Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasool Shah more than expected).
Fields of papers citing papers by Rasool Shah
This network shows the impact of papers produced by Rasool 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 Rasool Shah. The network helps show where Rasool Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Rasool Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 82 | |
| 2 | 2022 | 79 | |
| 3 | 2021 | 75 | |
| 4 | 2021 | 70 | |
| 5 | 2022 | 67 | |
| 6 | 2023 | 64 | |
| 7 | 2022 | 64 | |
| 8 | 2021 | 64 | |
| 9 | 2023 | 63 | |
| 10 | 2019 | 60 | |
| 11 | 2022 | 58 | |
| 12 | 2020 | 57 | |
| 13 | 2022 | 55 | |
| 14 | 2019 | 54 | |
| 15 | 2022 | 54 | |
| 16 | 2023 | 51 | |
| 17 | 2022 | 51 | |
| 18 | 2022 | 51 | |
| 19 | 2023 | 47 | |
| 20 | 2022 | 46 |
About Rasool Shah
Rasool Shah is a scholar working on Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics, Applied Mathematics and Biomedical Engineering, having authored 186 papers that have together received 3.4k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (158 papers), Nonlinear Waves and Solitons (87 papers), Iterative Methods for Nonlinear Equations (65 papers), Differential Equations and Numerical Methods (34 papers), Nanofluid Flow and Heat Transfer (28 papers), Nonlinear Differential Equations Analysis (21 papers), Advanced Control Systems Design (15 papers) and Nonlinear Photonic Systems (13 papers). The work is most often cited by research in Modeling and Simulation (2.8k citations), Numerical Analysis (1.4k citations), Statistical and Nonlinear Physics (1.8k citations), Applied Mathematics (627 citations) and Statistics and Probability (130 citations). Rasool Shah has collaborated with scholars based in Pakistan, Saudi Arabia and Thailand. Frequent co-authors include Hassan Khan, Muhammad Arif, Poom Kumam, Adnan Khan, Kamsing Nonlaopon, Dumitru Bǎleanu, Humaira Yasmin, Noufe H. Aljahdaly, Nehad Ali Shah and Ahmed M. Zidan. Their work appears in journals such as Symmetry, Scientific Reports, Complexity, AIMS Mathematics and Advances in Difference Equations.
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.