Muhammad Shoaib
Impact in
- Modeling and Simulation top 0.1%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
- Computational Mechanics top 0.2%
- Fluid Dynamics and Turbulent Flows
Papers in
-
- Fractional Differential Equations Solutions 43
- COVID-19 epidemiological studies 17
-
- Fluid Dynamics and Turbulent Flows 95
- Co-authors
- Muhammad Asif Zahoor RajaZulqurnain SabirSaeed IslamKottakkaran Sooppy NisarPoom KumamIftikhar AhmadMuhammad UmarAyaz Hussain Bukhari
- Journals
- Waves in Random and Complex Media (28 papers)International Communications in Heat and Mass Transfer (11 papers)Alexandria Engineering Journal (9 papers)AIP Advances (8 papers)Scientific Reports (7 papers)
- Partner nations
- PakistanTaiwanSaudi Arabia
In The Last Decade
Muhammad Shoaib
219 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Modeling and Simulation 1.4k
- Computational Mechanics 2.8k
- Biomedical Engineering 3.9k
- Mechanical Engineering 3.0k
- Numerical Analysis 349
Countries citing papers authored by Muhammad Shoaib
This map shows the geographic impact of Muhammad Shoaib'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 Shoaib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Shoaib more than expected).
Fields of papers citing papers by Muhammad Shoaib
This network shows the impact of papers produced by Muhammad Shoaib. 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 Shoaib. The network helps show where Muhammad Shoaib may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Shoaib, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 24 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 19 | |
| 13 | 2021 | 34 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 88 | |
| 16 | 2020 | 49 | |
| 17 | 2020 | 81 | |
| 18 | 2020 | 66 | |
| 19 | 2020 | 109 | |
| 20 | 2013 | 4 |
About Muhammad Shoaib
Muhammad Shoaib is a scholar working on Modeling and Simulation, Computational Mechanics, Numerical Analysis, Biomedical Engineering and Statistical and Nonlinear Physics, having authored 228 papers that have together received 7.0k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (118 papers), Fluid Dynamics and Turbulent Flows (95 papers), Heat Transfer Mechanisms (74 papers), Fractional Differential Equations Solutions (43 papers), Heat Transfer and Optimization (20 papers), Model Reduction and Neural Networks (18 papers), COVID-19 epidemiological studies (17 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (13 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Computational Mechanics (2.8k citations), Biomedical Engineering (3.9k citations), Mechanical Engineering (3.0k citations) and Numerical Analysis (349 citations). Muhammad Shoaib has collaborated with scholars based in Pakistan, Taiwan and Saudi Arabia. Frequent co-authors include Muhammad Asif Zahoor Raja, Zulqurnain Sabir, Saeed Islam, Kottakkaran Sooppy Nisar, Poom Kumam, Iftikhar Ahmad, Muhammad Umar, Ayaz Hussain Bukhari, Hira Ilyas and Zahir Shah. Their work appears in journals such as Waves in Random and Complex Media, International Communications in Heat and Mass Transfer, Alexandria Engineering Journal, AIP Advances 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.