Muhammad Arfan
- Modeling and Simulation top 0.2%
- Public Health, Environmental and Occupational Health top 5%
- Applied Mathematics top 2%
- Statistical and Nonlinear Physics top 5%
- Numerical Analysis top 5%
- Co-authors
- Kamal ShahMati ur RahmanAman UllahThabet AbdeljawadAly R. SeadawyZahir ShahShabir AhmadHussam Alrabaiah
- Topics
- Fractional Differential Equations Solutions (41 papers)Nonlinear Differential Equations Analysis (23 papers)Mathematical and Theoretical Epidemiology and Ecology Models (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaChaos Solitons & FractalsAlexandria Engineering Journal
- Partner nations
- PakistanSaudi ArabiaIndonesia
In The Last Decade
Muhammad Arfan
67 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Modeling and Simulation 991
- Public Health, Environmental and Occupational Health 472
- Applied Mathematics 350
- Statistical and Nonlinear Physics 199
- Numerical Analysis 182
Countries citing papers authored by Muhammad Arfan
This map shows the geographic impact of Muhammad Arfan'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 Arfan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Arfan more than expected).
Fields of papers citing papers by Muhammad Arfan
This network shows the impact of papers produced by Muhammad Arfan. 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 Arfan. The network helps show where Muhammad Arfan may publish in the future.
Co-authorship network of co-authors of Muhammad Arfan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arfan. A scholar is included among the top collaborators of Muhammad Arfan 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 Muhammad Arfan. Muhammad Arfan 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 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 16 | |
| 11 | 18 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 50 | |
| 15 | 103 | |
| 16 | 75 | |
| 17 | 85 | |
| 18 | 1 | |
| 19 | 29 | |
| 20 | 8 |
About Muhammad Arfan
Muhammad Arfan is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (41 papers), Nonlinear Differential Equations Analysis (23 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (18 papers). The work is most often cited by research in Modeling and Simulation (991 citations), Numerical Analysis (182 citations) and Applied Mathematics (350 citations). Muhammad Arfan has collaborated with scholars based in Pakistan, Saudi Arabia and Indonesia. Frequent co-authors include Kamal Shah, Mati ur Rahman, Aman Ullah, Thabet Abdeljawad, Aly R. Seadawy, Zahir Shah, Shabir Ahmad, Hussam Alrabaiah, Ali Ahmadian and Poom Kumam. Their work appears in journals such as SHILAP Revista de lepidopterología, Chaos Solitons & Fractals and Alexandria Engineering Journal.
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.