Muhammad Imran Khan
- Biomedical Engineering top 0.2%
- Mechanical Engineering top 0.2%
- Computational Mechanics top 0.1%
- Renewable Energy, Sustainability and the Environment top 5%
- Fluid Flow and Transfer Processes top 1%
- Co-authors
- M. Ijaz KhanTasawar HayatA. AlsaediAhmed AlsaediM. WaqasSami G. Al‐GhamdiAbdul ShakoorSumaira Qayyum
- Topics
- Nanofluid Flow and Heat Transfer (76 papers)Heat Transfer Mechanisms (58 papers)Fluid Dynamics and Turbulent Flows (44 papers)
- Journals
- Proceedings of the National Academy of SciencesRenewable and Sustainable Energy ReviewsActa Materialia
- Partner nations
- PakistanSaudi ArabiaUnited Kingdom
In The Last Decade
Muhammad Imran Khan
123 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Biomedical Engineering 4.8k
- Mechanical Engineering 4.2k
- Computational Mechanics 3.4k
- Renewable Energy, Sustainability and the Environment 670
- Fluid Flow and Transfer Processes 555
Countries citing papers authored by Muhammad Imran Khan
This map shows the geographic impact of Muhammad Imran Khan'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 Khan 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 Khan more than expected).
Fields of papers citing papers by Muhammad Imran Khan
This network shows the impact of papers produced by Muhammad Imran Khan. 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 Khan. The network helps show where Muhammad Imran Khan may publish in the future.
Co-authorship network of co-authors of Muhammad Imran Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran Khan. A scholar is included among the top collaborators of Muhammad Imran Khan 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 Imran Khan. Muhammad Imran Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 28 | |
| 4 | 8 | |
| 5 | 60 | |
| 6 | 35 | |
| 7 | 0 | |
| 8 | 36 | |
| 9 | Analysis of nonlinear complex heat transfer MHD flow of Jeffrey nanofluid over an exponentially stretching sheet via three phase artificial intelligence and Machine Learning techniquesbreakdown → | 68 |
| 10 | 6 | |
| 11 | 61 | |
| 12 | 38 | |
| 13 | 37 | |
| 14 | Activation energy impact in nonlinear radiative stagnation point flow of Cross nanofluidbreakdown → | 259 |
| 15 | 88 | |
| 16 | 112 | |
| 17 | 81 | |
| 18 | 73 | |
| 19 | 111 | |
| 20 | 3 |
About Muhammad Imran Khan
Muhammad Imran Khan is a scholar working on General Energy, Computational Mechanics and Mechanical Engineering, having authored 131 papers that have together received 6.6k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (76 papers), Heat Transfer Mechanisms (58 papers) and Fluid Dynamics and Turbulent Flows (44 papers). The work is most often cited by research in Computational Mechanics (3.4k citations), Mechanical Engineering (4.2k citations) and Biomedical Engineering (4.8k citations). Muhammad Imran Khan has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include M. Ijaz Khan, Tasawar Hayat, A. Alsaedi, Ahmed Alsaedi, M. Waqas, Sami G. Al‐Ghamdi, Abdul Shakoor, Sumaira Qayyum, Faisal Asfand and Tufail A. Khan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Renewable and Sustainable Energy Reviews and Acta Materialia.
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.