Muhammad Imran Asjad
- Modeling and Simulation top 0.1%
- Fractional Differential Equations Solutions 103
- Statistical and Nonlinear Physics top 0.5%
- Nonlinear Waves and Solitons 55
- Nonlinear Photonic Systems 47
- Numerical Analysis top 2%
- Iterative Methods for Nonlinear Equations 17
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows 36
- Biomedical Engineering top 1%
- Nanofluid Flow and Heat Transfer 112
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- Heat Transfer Mechanisms 45
- Heat Transfer and Optimization 21
- Co-authors
- Ali AkgülWaqas Ali FaridiAli AhmadianHamood Ur RehmanMaryam AleemTaseer MuhammadDumitru BǎleanuMuhammad Bilal
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)Scientific Reports (12 papers)
- Partner nations
- PakistanSaudi ArabiaTürkiye
In The Last Decade
Muhammad Imran Asjad
180 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 1.2k
- Statistical and Nonlinear Physics 991
- Numerical Analysis 306
- Computational Mechanics 1.1k
- Biomedical Engineering 1.9k
Countries citing papers authored by Muhammad Imran Asjad
This map shows the geographic impact of Muhammad Imran Asjad'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 Imran Asjad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Imran Asjad more than expected).
Fields of papers citing papers by Muhammad Imran Asjad
This network shows the impact of papers produced by Muhammad Imran Asjad. 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 Imran Asjad. The network helps show where Muhammad Imran Asjad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Imran Asjad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 42 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 24 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 32 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 13 | |
| 16 | 2021 | 50 | |
| 17 | 2021 | 16 | |
| 18 | 2021 | 22 | |
| 19 | 2021 | 62 | |
| 20 | 2020 | 14 |
About Muhammad Imran Asjad
Muhammad Imran Asjad is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics, having authored 190 papers that have together received 3.3k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (112 papers), Fractional Differential Equations Solutions (103 papers), Nonlinear Waves and Solitons (55 papers), Nonlinear Photonic Systems (47 papers), Heat Transfer Mechanisms (45 papers), Fluid Dynamics and Turbulent Flows (36 papers), Heat Transfer and Optimization (21 papers) and Iterative Methods for Nonlinear Equations (17 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Statistical and Nonlinear Physics (991 citations) and Numerical Analysis (306 citations). Muhammad Imran Asjad has collaborated with scholars based in Pakistan, Saudi Arabia and Türkiye. Frequent co-authors include Ali Akgül, Waqas Ali Faridi, Ali Ahmadian, Hamood Ur Rehman, Maryam Aleem, Taseer Muhammad, Dumitru Bǎleanu, Muhammad Bilal, Sayed M. Eldin and Rizwan Ali. 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.