Ashish Rayal

557 total citations
24 papers, 248 citations indexed

About

Ashish Rayal is a scholar working on Modeling and Simulation, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Ashish Rayal has authored 24 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 8 papers in Numerical Analysis and 6 papers in Control and Systems Engineering. Recurrent topics in Ashish Rayal's work include Fractional Differential Equations Solutions (12 papers), Differential Equations and Numerical Methods (7 papers) and Nonlinear Waves and Solitons (4 papers). Ashish Rayal is often cited by papers focused on Fractional Differential Equations Solutions (12 papers), Differential Equations and Numerical Methods (7 papers) and Nonlinear Waves and Solitons (4 papers). Ashish Rayal collaborates with scholars based in India, Italy and Portugal. Ashish Rayal's co-authors include Bhagawati Prasad Joshi, Abhay Kumar, Nagendra Kumar, Madan Mohan Sati, Akhilesh Kumar Singh, Akhilesh Kumar Singh, Shailendra Giri, Navneet Joshi, Amit Mittal and Akhilesh Singh and has published in prestigious journals such as Chaos Solitons & Fractals, Physica Scripta and Applied Numerical Mathematics.

In The Last Decade

Ashish Rayal

18 papers receiving 213 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashish Rayal India 9 97 59 36 34 30 24 248
Xiaoming Song China 11 22 0.2× 8 0.1× 84 2.3× 56 1.6× 17 0.6× 30 288
Vineet Shekher India 10 53 0.5× 18 0.3× 146 4.1× 83 2.4× 145 4.8× 26 463
Yajing Ma China 10 26 0.3× 6 0.1× 27 0.8× 269 7.9× 33 1.1× 29 351
Marek Lampart Czechia 12 9 0.1× 4 0.1× 177 4.9× 63 1.9× 18 0.6× 48 384
Shuping Chen China 10 7 0.1× 13 0.2× 8 0.2× 104 3.1× 12 0.4× 28 408
Şahin Emrah Amrahov Türkiye 10 55 0.6× 1 0.0× 9 0.3× 82 2.4× 55 1.8× 30 289
Shuangyun Xing China 11 6 0.1× 4 0.1× 27 0.8× 194 5.7× 77 2.6× 40 300
Wenbin Chen China 12 4 0.0× 7 0.1× 27 0.8× 203 6.0× 31 1.0× 41 300
Wenjie Hu China 9 6 0.1× 8 0.1× 6 0.2× 20 0.6× 18 0.6× 22 335
Amos E. Gera Israel 9 7 0.1× 7 0.1× 9 0.3× 92 2.7× 13 0.4× 31 295

Countries citing papers authored by Ashish Rayal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ashish Rayal

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Rayal. A scholar is included among the top collaborators of Ashish Rayal 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 Ashish Rayal. Ashish Rayal 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
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Dulta, Kanika, Pooja Rawat, Ashish Verma, et al.. (2025). An Overview of Medicinal Plants with Homeopathic Mother Tincture for the Treatment of Diabetes Mellitus. Journal of Natural Remedies. 75–89.
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Rayal, Ashish, et al.. (2025). A Numerical Study of the Caputo Fractional Nonlinear Rössler Attractor Model via Ultraspherical Wavelets Approach. Computer Modeling in Engineering & Sciences. 143(2). 1895–1925. 1 indexed citations
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Rayal, Ashish, P. S. Negi, Shailendra Giri, & Hacı Mehmet Başkonuş. (2024). Taylor wavelet analysis and numerical simulation for boundary value problems of higher order under multiple boundary conditions. Pramana. 98(4). 3 indexed citations
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Rayal, Ashish, et al.. (2024). Dynamical analysis and numerical treatment of pond pollution model endowed with Caputo fractional derivative using effective wavelets technique. International Journal of Dynamics and Control. 12(12). 4218–4231. 3 indexed citations
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Joshi, Bhagawati Prasad, et al.. (2024). Utilizing a Hybrid Geometric Operator for AIFS Data in Renewable-Energy-Source Classification. 298–302. 5 indexed citations
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Rayal, Ashish. (2023). Muntz Wavelets Solution for the Polytropic Lane–Emden Differential Equation Involved with Conformable Type Fractional Derivative. International Journal of Applied and Computational Mathematics. 9(4). 6 indexed citations
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Singh, Akhilesh Kumar, et al.. (2023). Real Time Railway Security System using Sensor Network. 1–4. 19 indexed citations
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Joshi, Bhagawati Prasad, et al.. (2023). MIFS Ordered Weighted Operators method for renewable-energy-source-selection. 248–253. 20 indexed citations
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Rayal, Ashish, et al.. (2022). Two-dimensional Gegenbauer wavelets for the numerical solution of tempered fractional model of the nonlinear Klein-Gordon equation. Applied Numerical Mathematics. 174. 191–220. 18 indexed citations
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Rayal, Ashish, et al.. (2020). An approximate wavelets solution to the class of variational problems with fractional order. Journal of Applied Mathematics and Computing. 65(1-2). 735–769. 28 indexed citations
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Rayal, Ashish, et al.. (2020). Numerical study of variational problems of moving or fixed boundary conditions by Muntz wavelets. Journal of Vibration and Control. 28(1-2). 214–229. 10 indexed citations

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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