Muhammad Rafiq
- Modeling and Simulation top 0.05%
- Public Health, Environmental and Occupational Health top 1%
- Statistical and Nonlinear Physics top 0.5%
- Genetics top 5%
- Plant Science top 10%
- Co-authors
- Ali RazaNauman AhmedNauman RazaDumitru BǎleanuAdil JhangeerMuhammad Shoaib ArifMuhammad Sajid IqbalAli Akgül
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (133 papers)Fractional Differential Equations Solutions (85 papers)COVID-19 epidemiological studies (82 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- PakistanSaudi ArabiaTürkiye
In The Last Decade
Muhammad Rafiq
252 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Modeling and Simulation 1.9k
- Public Health, Environmental and Occupational Health 1.4k
- Statistical and Nonlinear Physics 974
- Genetics 361
- Plant Science 298
Countries citing papers authored by Muhammad Rafiq
This map shows the geographic impact of Muhammad Rafiq'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 Rafiq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Rafiq more than expected).
Fields of papers citing papers by Muhammad Rafiq
This network shows the impact of papers produced by Muhammad Rafiq. 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 Rafiq. The network helps show where Muhammad Rafiq may publish in the future.
Co-authorship network of co-authors of Muhammad Rafiq
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Rafiq. A scholar is included among the top collaborators of Muhammad Rafiq 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 Rafiq. Muhammad Rafiq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 19 | |
| 20 | 5 |
About Muhammad Rafiq
Muhammad Rafiq is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics, having authored 280 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (133 papers), Fractional Differential Equations Solutions (85 papers) and COVID-19 epidemiological studies (82 papers). The work is most often cited by research in Modeling and Simulation (1.9k citations), Statistical and Nonlinear Physics (974 citations) and Public Health, Environmental and Occupational Health (1.4k citations). Muhammad Rafiq has collaborated with scholars based in Pakistan, Saudi Arabia and Türkiye. Frequent co-authors include Ali Raza, Nauman Ahmed, Nauman Raza, Dumitru Bǎleanu, Adil Jhangeer, Muhammad Shoaib Arif, Muhammad Sajid Iqbal, Ali Akgül, Abdul Ghaffar and Ilyas Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.