Muhammad Umar
Impact in
- Modeling and Simulation top 0.2%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
- Numerical Analysis top 2%
- Differential Equations and Numerical Methods
Papers in
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- Fractional Differential Equations Solutions 24
- COVID-19 epidemiological studies 8
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- Mathematical Inequalities and Applications 15
- Mathematical functions and polynomials 8
- Functional Equations Stability Results 6
- Co-authors
- Zulqurnain Sabir (30 shared papers)Muhammad Asif Zahoor Raja (21 shared papers)Muhammad Shoaib (6 shared papers)Fazli Amin (6 shared papers)Yolanda Guerrero–Sánchez (7 shared papers)Hafiz Abdul Wahab (3 shared papers)Dumitru Bǎleanu (3 shared papers)Juan L. G. Guirao (3 shared papers)
In The Last Decade
Muhammad Umar
50 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 130
- Modeling and Simulation 850
- Numerical Analysis 249
- Statistical and Nonlinear Physics 229
- Applied Mathematics 123
- Computational Mechanics 207
Countries citing papers authored by Muhammad Umar
This map shows the geographic impact of Muhammad Umar'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 Muhammad Umar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umar more than expected).
Fields of papers citing papers by Muhammad Umar
This network shows the impact of papers produced by Muhammad Umar. 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 Muhammad Umar. The network helps show where Muhammad Umar may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Umar, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2018 | 145 | |
| 3 | 2020 | 139 | |
| 4 | 2020 | 134 | |
| 5 | 2020 | 123 | |
| 6 | 2020 | 96 | |
| 7 | 2020 | 94 | |
| 8 | 2021 | 87 | |
| 9 | 2021 | 79 | |
| 10 | 2021 | 74 | |
| 11 | 2020 | 66 | |
| 12 | 2019 | 62 | |
| 13 | 2019 | 59 | |
| 14 | 2020 | 49 | |
| 15 | 2022 | 39 | |
| 16 | 2021 | 38 | |
| 17 | 2020 | 37 | |
| 18 | 2021 | 30 | |
| 19 | 2023 | 26 | |
| 20 | 2011 | 24 |
About Muhammad Umar
Muhammad Umar is a scholar working on Modeling and Simulation, Applied Mathematics, Public Health, Environmental and Occupational Health, Numerical Analysis and Artificial Intelligence, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (24 papers), Mathematical Inequalities and Applications (15 papers), COVID-19 epidemiological studies (8 papers), Mathematical functions and polynomials (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Functional Equations Stability Results (6 papers), Differential Equations and Numerical Methods (5 papers) and Iterative Methods for Nonlinear Equations (5 papers). The work is most often cited by research in Modeling and Simulation (850 citations), Numerical Analysis (249 citations), Statistical and Nonlinear Physics (229 citations), Applied Mathematics (123 citations) and Computational Mechanics (207 citations). Muhammad Umar has collaborated with scholars based in Pakistan, Türkiye and Taiwan. Frequent co-authors include Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Fazli Amin, Yolanda Guerrero–Sánchez, Hafiz Abdul Wahab, Dumitru Bǎleanu, Juan L. G. Guirao, Mehmet Giyas Sakar and Junaid Ali Khan. Their work appears in journals such as Symmetry, Mathematics and Computers in Simulation, Advances in Difference Equations, Fractals and Neural Computing and Applications.
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.