Muhammad Mushtaq
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows 14
- Biomedical Engineering top 5%
- Nanofluid Flow and Heat Transfer 25
- Mechanical Engineering top 5%
- Heat Transfer Mechanisms 19
- Heat Transfer and Optimization 6
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- Rheology and Fluid Dynamics Studies 5
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions 3
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- Microgrid Control and Optimization 3
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- Smart Grid Energy Management 2
- Co-authors
- S. AsgharMuzamil HussainAhmed JanUmer FarooqM. A. HossainRabia MalikMasood KhanTasawar Hayat
- Journals
- Scientific Reports (2 papers)Journal of Engineering Physics and Thermophysics (1 paper)Alexandria Engineering Journal (1 paper)
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Muhammad Mushtaq
33 papers receiving 612 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Computational Mechanics 382
- Biomedical Engineering 564
- Mechanical Engineering 447
- Fluid Flow and Transfer Processes 50
- Modeling and Simulation 29
Countries citing papers authored by Muhammad Mushtaq
This map shows the geographic impact of Muhammad Mushtaq'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 Mushtaq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Mushtaq more than expected).
Fields of papers citing papers by Muhammad Mushtaq
This network shows the impact of papers produced by Muhammad Mushtaq. 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 Mushtaq. The network helps show where Muhammad Mushtaq may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Mushtaq, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 14 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 14 | |
| 8 | 2022 | 54 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 24 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 19 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 13 | |
| 17 | Numerical Simulation of Heat Transfer in a Vertical Inverted U-Tube Steam Generator | 2016 | 0 |
| 18 | 2009 | 41 | |
| 19 | 2007 | 23 | |
| 20 | 2006 | 62 |
About Muhammad Mushtaq
Muhammad Mushtaq is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Issues, ethics and legal aspects, having authored 36 papers that have together received 640 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (25 papers), Heat Transfer Mechanisms (19 papers), Fluid Dynamics and Turbulent Flows (14 papers), Heat Transfer and Optimization (6 papers), Rheology and Fluid Dynamics Studies (5 papers), Fractional Differential Equations Solutions (3 papers), Microgrid Control and Optimization (3 papers) and Smart Grid Energy Management (2 papers). The work is most often cited by research in Computational Mechanics (382 citations), Biomedical Engineering (564 citations) and Mechanical Engineering (447 citations). Muhammad Mushtaq has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include S. Asghar, Muzamil Hussain, Ahmed Jan, Umer Farooq, M. A. Hossain, Rabia Malik, Masood Khan, Tasawar Hayat, Mudassar Jalil and Anum Shafiq. Their work appears in journals such as Scientific Reports, Journal of Engineering Physics and Thermophysics, Alexandria Engineering Journal, Waves in Random and Complex Media and International Journal of Heat and Fluid Flow.
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.