Amirul Khan
- Computational Mechanics top 5%
- Environmental Engineering top 5%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Aerospace Engineering top 10%
- Co-authors
- Catherine J. NoakesMd. Mamun MollaJonathan SummersXiaohui ChenSuvash C. SahaJ. C. VassilicosJonathan NuttallNaveed Salman
- Topics
- Lattice Boltzmann Simulation Studies (14 papers)Infection Control and Ventilation (10 papers)Fluid Dynamics and Vibration Analysis (9 papers)
- Partner nations
- United KingdomBangladeshAustralia
In The Last Decade
Amirul Khan
46 papers receiving 763 citations
Peers
Comparison fields: 5 of 104
- Computational Mechanics 297
- Environmental Engineering 240
- Pulmonary and Respiratory Medicine 139
- Biomedical Engineering 107
- Aerospace Engineering 98
Countries citing papers authored by Amirul Khan
This map shows the geographic impact of Amirul 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 Amirul Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amirul Khan more than expected).
Fields of papers citing papers by Amirul Khan
This network shows the impact of papers produced by Amirul 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 Amirul Khan. The network helps show where Amirul Khan may publish in the future.
Co-authorship network of co-authors of Amirul Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Amirul Khan. A scholar is included among the top collaborators of Amirul 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 Amirul Khan. Amirul 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 | 3 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 16 | |
| 10 | 18 | |
| 11 | 7 | |
| 12 | Coupled indoor/outdoor airflow simulation comparing ANSYS Fluent with a GPU-based lattice Boltzmann model for urban environments | 1 |
| 13 | 32 | |
| 14 | 56 | |
| 15 | 32 | |
| 16 | 22 | |
| 17 | 54 | |
| 18 | 9 | |
| 19 | 17 | |
| 20 | 2 |
About Amirul Khan
Amirul Khan is a scholar working on Computational Mechanics, Environmental Engineering and Modeling and Simulation, having authored 49 papers that have together received 784 indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (14 papers), Infection Control and Ventilation (10 papers) and Fluid Dynamics and Vibration Analysis (9 papers). The work is most often cited by research in Environmental Engineering (240 citations), Computational Mechanics (297 citations) and Building and Construction (89 citations). Amirul Khan has collaborated with scholars based in United Kingdom, Bangladesh and Australia. Frequent co-authors include Catherine J. Noakes, Md. Mamun Molla, Jonathan Summers, Xiaohui Chen, Suvash C. Saha, J. C. Vassilicos, Jonathan Nuttall, Naveed Salman, Andrew H. Kemp and Xiuyu Liang. Their work appears in journals such as Physical Review Letters, Scientific Reports and Neuroscience & Biobehavioral Reviews.
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.