Ali Shokri
Impact in
- Numerical Analysis top 2%
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
- Iterative Methods for Nonlinear Equations
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions
Papers in
-
- Numerical methods for differential equations 51
- Differential Equations and Numerical Methods 25
- Iterative Methods for Nonlinear Equations 6
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- Fractional Differential Equations Solutions 32
- Co-authors
- Higinio Ramos (5 shared papers)Shabir Ahmad (2 shared papers)Aman Ullah (2 shared papers)Kamsing Nonlaopon (6 shared papers)Fazal Haq (3 shared papers)J. Vigo‐Aguiar (3 shared papers)Samad Noeiaghdam (3 shared papers)S. Sarwar (1 shared paper)
In The Last Decade
Ali Shokri
75 papers receiving 550 citations
Peers
Comparison fields: 5 of 58
- Numerical Analysis 289
- Modeling and Simulation 214
- Statistical and Nonlinear Physics 102
- Computational Theory and Mathematics 98
- Applied Mathematics 54
Countries citing papers authored by Ali Shokri
This map shows the geographic impact of Ali Shokri'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 Ali Shokri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Shokri more than expected).
Fields of papers citing papers by Ali Shokri
This network shows the impact of papers produced by Ali Shokri. 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 Ali Shokri. The network helps show where Ali Shokri may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Shokri, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 33 | |
| 2 | 2022 | 20 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 17 | |
| 6 | 2017 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 13 | |
| 11 | The symmetric two-step P-stable nonlinear predictor-corrector methods for the numerical solution of second order initial value problems | 2015 | 13 |
| 12 | 2021 | 13 | |
| 13 | 2012 | 13 | |
| 14 | 2020 | 13 | |
| 15 | 2010 | 12 | |
| 16 | 2017 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2024 | 10 |
About Ali Shokri
Ali Shokri is a scholar working on Numerical Analysis, Modeling and Simulation, Computational Theory and Mathematics, Computational Mechanics and Electrical and Electronic Engineering, having authored 82 papers that have together received 560 indexed citations. Recurring topics across this work include Numerical methods for differential equations (51 papers), Fractional Differential Equations Solutions (32 papers), Differential Equations and Numerical Methods (25 papers), Matrix Theory and Algorithms (20 papers), Electromagnetic Simulation and Numerical Methods (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Advanced Numerical Methods in Computational Mathematics (11 papers) and Iterative Methods for Nonlinear Equations (6 papers). The work is most often cited by research in Numerical Analysis (289 citations), Modeling and Simulation (214 citations), Statistical and Nonlinear Physics (102 citations), Computational Theory and Mathematics (98 citations) and Applied Mathematics (54 citations). Ali Shokri has collaborated with scholars based in Iran, Nigeria and China. Frequent co-authors include Higinio Ramos, Shabir Ahmad, Aman Ullah, Kamsing Nonlaopon, Fazal Haq, J. Vigo‐Aguiar, Samad Noeiaghdam, S. Sarwar, Mufutau Ajani Rufai and Hamid M. Sedighi. Their work appears in journals such as Scientific Reports, Numerical Algorithms, Symmetry, Journal of Computational and Applied Mathematics and Mathematics and Computers in Simulation.
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.