Ashish Rayal
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods
- Iterative Methods for Nonlinear Equations
- Numerical methods for differential equations
Papers in
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- Fractional Differential Equations Solutions 12
-
- Differential Equations and Numerical Methods 7
- Iterative Methods for Nonlinear Equations 3
- Co-authors
- Bhagawati Prasad Joshi (6 shared papers)Abhay Kumar (3 shared papers)Nagendra Kumar (3 shared papers)Akhilesh Kumar Singh (3 shared papers)Madan Mohan Sati (1 shared paper)Akhilesh Kumar Singh (1 shared paper)Shailendra Giri (4 shared papers)Navneet Joshi (1 shared paper)
In The Last Decade
Ashish Rayal
22 papers receiving 252 citations
Peers
Comparison fields: 5 of 55
- Modeling and Simulation 100
- Numerical Analysis 60
- Statistical and Nonlinear Physics 37
- Applied Mathematics 27
- Health Information Management 9
Countries citing papers authored by Ashish Rayal
This map shows the geographic impact of Ashish Rayal'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 Ashish Rayal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Rayal more than expected).
Fields of papers citing papers by Ashish Rayal
This network shows the impact of papers produced by Ashish Rayal. 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 Ashish Rayal. The network helps show where Ashish Rayal may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashish Rayal, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 36 | |
| 2 | 2023 | 35 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 29 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 20 | |
| 8 | 2023 | 13 | |
| 9 | 2020 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Ashish Rayal
Ashish Rayal is a scholar working on Modeling and Simulation, Numerical Analysis, Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 269 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (12 papers), Differential Equations and Numerical Methods (7 papers), Nonlinear Waves and Solitons (4 papers), Iterative Methods for Nonlinear Equations (3 papers), Multi-Criteria Decision Making (3 papers), Advanced Control Systems Design (3 papers), Mathematical functions and polynomials (3 papers) and Fuzzy Systems and Optimization (2 papers). The work is most often cited by research in Modeling and Simulation (100 citations), Numerical Analysis (60 citations), Statistical and Nonlinear Physics (37 citations), Applied Mathematics (27 citations) and Health Information Management (9 citations). Ashish Rayal has collaborated with scholars based in India, Italy and Iran. Frequent co-authors include Bhagawati Prasad Joshi, Abhay Kumar, Nagendra Kumar, Akhilesh Kumar Singh, Madan Mohan Sati, Akhilesh Kumar Singh, Shailendra Giri, Navneet Joshi, Amit Mittal and Delfim F. M. Torres. Their work appears in journals such as Chaos Solitons & Fractals, Journal of Vibration and Control, Applied Numerical Mathematics, Computer Modeling in Engineering & Sciences and Physica Scripta.
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.