Sania Qureshi
- Modeling and Simulation top 0.05%
- Public Health, Environmental and Occupational Health top 1%
- Numerical Analysis top 0.5%
- Statistical and Nonlinear Physics top 1%
- Applied Mathematics top 1%
- Co-authors
- Abdullahi YusufAbdon AtanganaAsif Ali ShaikhDumitru BǎleanuParvaiz Ahmad NaikAmanullah SoomroMustafa İnçRashid Jan
- Topics
- Fractional Differential Equations Solutions (64 papers)Iterative Methods for Nonlinear Equations (32 papers)Mathematical and Theoretical Epidemiology and Ecology Models (32 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Sania Qureshi
103 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Modeling and Simulation 2.9k
- Public Health, Environmental and Occupational Health 1.4k
- Numerical Analysis 811
- Statistical and Nonlinear Physics 721
- Applied Mathematics 639
Countries citing papers authored by Sania Qureshi
This map shows the geographic impact of Sania Qureshi'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 Sania Qureshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sania Qureshi more than expected).
Fields of papers citing papers by Sania Qureshi
This network shows the impact of papers produced by Sania Qureshi. 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 Sania Qureshi. The network helps show where Sania Qureshi may publish in the future.
Co-authorship network of co-authors of Sania Qureshi
This figure shows the co-authorship network connecting the top 25 collaborators of Sania Qureshi. A scholar is included among the top collaborators of Sania Qureshi 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 Sania Qureshi. Sania Qureshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 17 | |
| 14 | Dynamical Analysis of Generalized Tumor Model with Caputo Fractional-Order Derivativebreakdown → | 76 |
| 15 | 12 | |
| 16 | 10 | |
| 17 | 91 | |
| 18 | 175 | |
| 19 | Analysis of Accuracy, Stability, Consistency and Convergence of an Explicit Iterative Algorithm | 1 |
| 20 | On the Construction and Comparison of an Explicit Iterative Algorithm with Nonstandard Finite Difference Schemes | 3 |
About Sania Qureshi
Sania Qureshi is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 111 papers that have together received 3.7k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (64 papers), Iterative Methods for Nonlinear Equations (32 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (32 papers). The work is most often cited by research in Modeling and Simulation (2.9k citations), Numerical Analysis (811 citations) and Applied Mathematics (639 citations). Sania Qureshi has collaborated with scholars based in Pakistan, Cyprus and Türkiye. Frequent co-authors include Abdullahi Yusuf, Abdon Atangana, Asif Ali Shaikh, Dumitru Bǎleanu, Parvaiz Ahmad Naik, Amanullah Soomro, Mustafa İnç, Rashid Jan, Evren Hınçal and Mehmet Yavuz. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.