Sadia Arshad
Impact in
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions
- Mathematical Biology Tumor Growth
- Applied Mathematics top 1%
- Nonlinear Differential Equations Analysis
Papers in
-
- Fractional Differential Equations Solutions 29
- Mathematical Biology Tumor Growth 6
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- Nonlinear Differential Equations Analysis 14
- Co-authors
- Vasile Lupulescu (7 shared papers)Dumitru Bǎleanu (11 shared papers)Amin Jajarmi (2 shared papers)Yifa Tang (12 shared papers)Jianfei Huang (12 shared papers)Donal O’Regan (3 shared papers)Ravi P. Agarwal (3 shared papers)M. M. Qurashi (2 shared papers)
In The Last Decade
Sadia Arshad
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 105
- Modeling and Simulation 801
- Applied Mathematics 455
- Numerical Analysis 228
- Statistics and Probability 287
- Public Health, Environmental and Occupational Health 220
Countries citing papers authored by Sadia Arshad
This map shows the geographic impact of Sadia Arshad'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 Sadia Arshad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadia Arshad more than expected).
Fields of papers citing papers by Sadia Arshad
This network shows the impact of papers produced by Sadia Arshad. 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 Sadia Arshad. The network helps show where Sadia Arshad may publish in the future.
Co-authors
The 25 scholars most cited alongside Sadia Arshad, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 184 | |
| 2 | 2019 | 174 | |
| 3 | 2012 | 92 | |
| 4 | 2022 | 65 | |
| 5 | 2016 | 49 | |
| 6 | 2017 | 48 | |
| 7 | 2019 | 46 | |
| 8 | 2020 | 34 | |
| 9 | 2013 | 30 | |
| 10 | 2018 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2018 | 24 | |
| 13 | 2017 | 22 | |
| 14 | 2022 | 20 | |
| 15 | 2013 | 18 | |
| 16 | 2015 | 18 | |
| 17 | Fractional differential equation with the fuzzy initial condition | 2011 | 17 |
| 18 | 2013 | 17 | |
| 19 | 2016 | 15 | |
| 20 | 2023 | 13 |
About Sadia Arshad
Sadia Arshad is a scholar working on Modeling and Simulation, Applied Mathematics, Numerical Analysis, Public Health, Environmental and Occupational Health and Biophysics, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (29 papers), Nonlinear Differential Equations Analysis (14 papers), Differential Equations and Numerical Methods (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Mathematical Biology Tumor Growth (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Fuzzy Systems and Optimization (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Modeling and Simulation (801 citations), Applied Mathematics (455 citations), Numerical Analysis (228 citations), Statistics and Probability (287 citations) and Public Health, Environmental and Occupational Health (220 citations). Sadia Arshad has collaborated with scholars based in Pakistan, China and Romania. Frequent co-authors include Vasile Lupulescu, Dumitru Bǎleanu, Amin Jajarmi, Yifa Tang, Jianfei Huang, Donal O’Regan, Ravi P. Agarwal, M. M. Qurashi, Özlem Defterli and Weiping Bu. Their work appears in journals such as Plasmonics, Advances in Complex Systems, Fractional Calculus and Applied Analysis, Physica A Statistical Mechanics and its Applications and Advances in Difference Equations.
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.