Ghaus ur Rahman
- Modeling and Simulation top 0.2%
- Applied Mathematics top 1%
- Public Health, Environmental and Occupational Health top 5%
- Numerical Analysis top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Kamal ShahFazal HaqMuhammad ShahzadRavi P. AgarwalVasile LupulescuDonal O’ReganIsrar AhmadQamar Din
- Topics
- Fractional Differential Equations Solutions (50 papers)Nonlinear Differential Equations Analysis (42 papers)Mathematical and Theoretical Epidemiology and Ecology Models (25 papers)
- Journals
- Journal of the Franklin InstituteChaos Solitons & FractalsApplied Mathematics and Computation
- Partner nations
- PakistanSaudi ArabiaUnited States
In The Last Decade
Ghaus ur Rahman
69 papers receiving 889 citations
Peers
Comparison fields: 5 of 70
- Modeling and Simulation 735
- Applied Mathematics 441
- Public Health, Environmental and Occupational Health 333
- Numerical Analysis 197
- Control and Systems Engineering 90
Countries citing papers authored by Ghaus ur Rahman
This map shows the geographic impact of Ghaus ur Rahman'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 Ghaus ur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghaus ur Rahman more than expected).
Fields of papers citing papers by Ghaus ur Rahman
This network shows the impact of papers produced by Ghaus ur Rahman. 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 Ghaus ur Rahman. The network helps show where Ghaus ur Rahman may publish in the future.
Co-authorship network of co-authors of Ghaus ur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Ghaus ur Rahman. A scholar is included among the top collaborators of Ghaus ur Rahman 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 Ghaus ur Rahman. Ghaus ur Rahman 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 | 4 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 27 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 25 | |
| 19 | 10 | |
| 20 | 9 |
About Ghaus ur Rahman
Ghaus ur Rahman is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 70 papers that have together received 929 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (50 papers), Nonlinear Differential Equations Analysis (42 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (25 papers). The work is most often cited by research in Modeling and Simulation (735 citations), Applied Mathematics (441 citations) and Numerical Analysis (197 citations). Ghaus ur Rahman has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Kamal Shah, Fazal Haq, Muhammad Shahzad, Ravi P. Agarwal, Ravi P. Agarwal, Vasile Lupulescu, Donal O’Regan, Israr Ahmad, Qamar Din and J. F. Gómez‐Aguilar. Their work appears in journals such as Journal of the Franklin Institute, Chaos Solitons & Fractals and Applied Mathematics and Computation.
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.