Muhammad Umar
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Heat and Mass Transfer in Porous Media
Papers in
-
- Nanofluid Flow and Heat Transfer 10
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- Fluid Dynamics and Turbulent Flows 7
- Fluid Dynamics and Vibration Analysis 2
- Co-authors
- Zulqurnain Sabir (9 shared papers)Muhammad Ali Imran (4 shared papers)Muhammad Asif Zahoor Raja (4 shared papers)Muhammad Shoaib (3 shared papers)Hafiz Abdul Wahab (3 shared papers)Zhiyu Zhu (2 shared papers)Rizwan Akhtar (2 shared papers)Amjad Ali (6 shared papers)
In The Last Decade
Muhammad Umar
16 papers receiving 330 citations
Peers
Comparison fields: 5 of 70
- Modeling and Simulation 62
- Computational Mechanics 166
- Biomedical Engineering 207
- Mechanical Engineering 159
- Fluid Flow and Transfer Processes 19
Countries citing papers authored by Muhammad Umar
This map shows the geographic impact of Muhammad Umar'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 Umar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Umar more than expected).
Fields of papers citing papers by Muhammad Umar
This network shows the impact of papers produced by Muhammad Umar. 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 Umar. The network helps show where Muhammad Umar may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Umar, 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 | 2019 | 67 | |
| 2 | 2020 | 55 | |
| 3 | 2019 | 55 | |
| 4 | 2019 | 52 | |
| 5 | 2020 | 25 | |
| 6 | 2016 | 24 | |
| 7 | 2024 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2025 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Muhammad Umar
Muhammad Umar is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 20 papers that have together received 343 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (10 papers), Heat Transfer Mechanisms (7 papers), Fluid Dynamics and Turbulent Flows (7 papers), Fluid Dynamics and Vibration Analysis (2 papers), Numerical methods for differential equations (1 paper), Refrigeration and Air Conditioning Technologies (1 paper), Inertial Sensor and Navigation (1 paper) and Geotechnical and construction materials studies (1 paper). The work is most often cited by research in Modeling and Simulation (62 citations), Computational Mechanics (166 citations), Biomedical Engineering (207 citations), Mechanical Engineering (159 citations) and Fluid Flow and Transfer Processes (19 citations). Muhammad Umar has collaborated with scholars based in Pakistan, Canada and Türkiye. Frequent co-authors include Zulqurnain Sabir, Muhammad Ali Imran, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Hafiz Abdul Wahab, Zhiyu Zhu, Rizwan Akhtar, Amjad Ali, Abouzar Sadrekarimi and Zaheer Abbas. Their work appears in journals such as Energies, Biomedical Signal Processing and Control, Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum, International Journal of Molecular Sciences and Computers in Biology and Medicine.
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.