Muhammad Arshad Siddiqui
- Biomedical Engineering top 10%
- Mechanical Engineering top 10%
- Computational Mechanics top 5%
- Civil and Structural Engineering
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Tariq JavedIoan PopNasir AliMubbashar NazeerT. JavedNaokant DeoMuhammad Aslam NoorArshad Riaz
- Topics
- Nanofluid Flow and Heat Transfer (21 papers)Heat Transfer Mechanisms (15 papers)Fluid Dynamics and Turbulent Flows (12 papers)
In The Last Decade
Muhammad Arshad Siddiqui
27 papers receiving 372 citations
Peers
Comparison fields: 5 of 37
- Biomedical Engineering 325
- Mechanical Engineering 246
- Computational Mechanics 226
- Civil and Structural Engineering 17
- Renewable Energy, Sustainability and the Environment 17
Countries citing papers authored by Muhammad Arshad Siddiqui
This map shows the geographic impact of Muhammad Arshad Siddiqui'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 Arshad Siddiqui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Arshad Siddiqui more than expected).
Fields of papers citing papers by Muhammad Arshad Siddiqui
This network shows the impact of papers produced by Muhammad Arshad Siddiqui. 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 Arshad Siddiqui. The network helps show where Muhammad Arshad Siddiqui may publish in the future.
Co-authorship network of co-authors of Muhammad Arshad Siddiqui
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Arshad Siddiqui. A scholar is included among the top collaborators of Muhammad Arshad Siddiqui 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 Muhammad Arshad Siddiqui. Muhammad Arshad Siddiqui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 40 | |
| 11 | 3 | |
| 12 | 64 | |
| 13 | 24 | |
| 14 | 20 | |
| 15 | 25 | |
| 16 | 7 | |
| 17 | 17 | |
| 18 | Optimising ANN architecture for shell and tube heat exchanger modelling | 4 |
| 19 | 16 | |
| 20 | 5 |
About Muhammad Arshad Siddiqui
Muhammad Arshad Siddiqui is a scholar working on Computational Mechanics, Mechanical Engineering and Biomedical Engineering, having authored 27 papers that have together received 393 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (21 papers), Heat Transfer Mechanisms (15 papers) and Fluid Dynamics and Turbulent Flows (12 papers). The work is most often cited by research in Computational Mechanics (226 citations), Biomedical Engineering (325 citations) and Mechanical Engineering (246 citations). Muhammad Arshad Siddiqui has collaborated with scholars based in Pakistan, Romania and India. Frequent co-authors include Tariq Javed, Ioan Pop, Nasir Ali, Mubbashar Nazeer, T. Javed, Naokant Deo, Muhammad Aslam Noor, Arshad Riaz, Ilyas Khan and Kottakkaran Sooppy Nisar. Their work appears in journals such as Journal of Applied Polymer Science, Journal of Magnetism and Magnetic Materials and Journal of Molecular Liquids.
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.