Mati ur Rahman
- Modeling and Simulation top 0.1%
- Statistical and Nonlinear Physics top 1%
- Public Health, Environmental and Occupational Health top 5%
- Applied Mathematics top 2%
- Numerical Analysis top 5%
- Co-authors
- Muhammad ArfanSaeed AhmadYu‐Ming ChuChangjin XuDumitru BǎleanuFang JinHaidong QuM.A. El‐Shorbagy
- Topics
- Fractional Differential Equations Solutions (73 papers)Mathematical and Theoretical Epidemiology and Ecology Models (40 papers)Nonlinear Differential Equations Analysis (35 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPhysics Letters A
- Partner nations
- ChinaPakistanSaudi Arabia
In The Last Decade
Mati ur Rahman
115 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Modeling and Simulation 1.2k
- Statistical and Nonlinear Physics 568
- Public Health, Environmental and Occupational Health 554
- Applied Mathematics 372
- Numerical Analysis 211
Countries citing papers authored by Mati ur Rahman
This map shows the geographic impact of Mati 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 Mati 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 Mati ur Rahman more than expected).
Fields of papers citing papers by Mati ur Rahman
This network shows the impact of papers produced by Mati 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 Mati ur Rahman. The network helps show where Mati ur Rahman may publish in the future.
Co-authorship network of co-authors of Mati ur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Mati ur Rahman. A scholar is included among the top collaborators of Mati 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 Mati ur Rahman. Mati 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 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 26 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 19 | |
| 14 | 11 | |
| 15 | 20 | |
| 16 | 3 | |
| 17 | 24 | |
| 18 | 19 | |
| 19 | 22 | |
| 20 | Phthalocyanines Derivatives as Control Approach for Antimicrobial Photodynamic Therapy | 3 |
About Mati ur Rahman
Mati ur Rahman is a scholar working on Modeling and Simulation, Applied Mathematics and Statistical and Nonlinear Physics, having authored 126 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (73 papers), Mathematical and Theoretical Epidemiology and Ecology Models (40 papers) and Nonlinear Differential Equations Analysis (35 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Statistical and Nonlinear Physics (568 citations) and Numerical Analysis (211 citations). Mati ur Rahman has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Muhammad Arfan, Saeed Ahmad, Yu‐Ming Chu, Changjin Xu, Dumitru Bǎleanu, Fang Jin, Haidong Qu, M.A. El‐Shorbagy, Shabir Ahmad and Kamal Shah. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physics Letters A.
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.