Sushila Rathore
- Modeling and Simulation top 0.5%
- Numerical Analysis top 2%
- Statistical and Nonlinear Physics top 5%
- Applied Mathematics top 5%
- Mechanics of Materials
- Co-authors
- Jagdev SinghDevendra KumarDumitru BǎleanuSumit GuptaSoheil SalahshourMehdi SalimiAli AhmadianDuan Zhao
- Topics
- Fractional Differential Equations Solutions (11 papers)Iterative Methods for Nonlinear Equations (7 papers)Nonlinear Waves and Solitons (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied MechanicsEnvironmental Science and Pollution Research
In The Last Decade
Sushila Rathore
18 papers receiving 547 citations
Peers
Comparison fields: 5 of 49
- Modeling and Simulation 505
- Numerical Analysis 276
- Statistical and Nonlinear Physics 199
- Applied Mathematics 150
- Mechanics of Materials 70
Countries citing papers authored by Sushila Rathore
This map shows the geographic impact of Sushila Rathore'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 Sushila Rathore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushila Rathore more than expected).
Fields of papers citing papers by Sushila Rathore
This network shows the impact of papers produced by Sushila Rathore. 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 Sushila Rathore. The network helps show where Sushila Rathore may publish in the future.
Co-authorship network of co-authors of Sushila Rathore
This figure shows the co-authorship network connecting the top 25 collaborators of Sushila Rathore. A scholar is included among the top collaborators of Sushila Rathore 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 Sushila Rathore. Sushila Rathore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 59 | |
| 5 | 9 | |
| 6 | 93 | |
| 7 | 103 | |
| 8 | 138 | |
| 9 | 38 | |
| 10 | On the solutions of fractional reaction-diffusion equations | 7 |
| 11 | Homotopy Analysis Sumudu Transform Method for Nonlinear Equations | 41 |
| 12 | APPLICATION OF DQ METHOD IN CERTAIN CLASS OF VIBRATION PROBLEM | 3 |
| 13 | Sumudu Decomposition Method for Nonlinear Equations | 32 |
| 14 | Application of Homotopy Perturbation Transform Method for Solving Linear and Nonlinear Klein-Gordon Equations | 24 |
| 15 | 2 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 3 |
About Sushila Rathore
Sushila Rathore is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics, having authored 19 papers that have together received 568 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (11 papers), Iterative Methods for Nonlinear Equations (7 papers) and Nonlinear Waves and Solitons (6 papers). The work is most often cited by research in Modeling and Simulation (505 citations), Numerical Analysis (276 citations) and Statistical and Nonlinear Physics (199 citations). Sushila Rathore has collaborated with scholars based in India, Romania and Türkiye. Frequent co-authors include Jagdev Singh, Devendra Kumar, Dumitru Bǎleanu, Sumit Gupta, Soheil Salahshour, Mehdi Salimi, Ali Ahmadian, Duan Zhao, Xiao‐Jun Yang and N. N. Kishore. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Mechanics and Environmental Science and Pollution Research.
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.