Amirul Khan

1.1k total citations
49 papers, 784 citations indexed

About

Amirul Khan is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine and Environmental Engineering. According to data from OpenAlex, Amirul Khan has authored 49 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Environmental Engineering. Recurrent topics in Amirul Khan's work include Lattice Boltzmann Simulation Studies (14 papers), Infection Control and Ventilation (10 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Amirul Khan is often cited by papers focused on Lattice Boltzmann Simulation Studies (14 papers), Infection Control and Ventilation (10 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Amirul Khan collaborates with scholars based in United Kingdom, Bangladesh and Australia. Amirul Khan's 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 and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Amirul Khan

46 papers receiving 763 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amirul Khan United Kingdom 17 297 240 139 107 98 49 784
Gholamhossein Bagheri Germany 19 467 1.6× 89 0.4× 193 1.4× 384 3.6× 71 0.7× 41 1.4k
Manhar Dhanak United States 22 629 2.1× 195 0.8× 225 1.6× 68 0.6× 604 6.2× 92 1.9k
Mohammadreza Shirzadi Japan 20 167 0.6× 772 3.2× 188 1.4× 51 0.5× 360 3.7× 40 1.0k
Hachimi Fellouah Canada 18 599 2.0× 427 1.8× 76 0.5× 136 1.3× 550 5.6× 68 1.2k
Eldad Avital United Kingdom 20 711 2.4× 181 0.8× 178 1.3× 183 1.7× 585 6.0× 136 1.6k
Shaolin Mao China 17 221 0.7× 57 0.2× 194 1.4× 142 1.3× 119 1.2× 85 866
Christos D. Argyropoulos Greece 15 308 1.0× 356 1.5× 41 0.3× 56 0.5× 283 2.9× 25 939
Jiannong Fang Switzerland 20 641 2.2× 299 1.2× 97 0.7× 124 1.2× 141 1.4× 39 1.5k
Antón Vernet Spain 18 307 1.0× 150 0.6× 100 0.7× 150 1.4× 130 1.3× 65 753
Esmail Lakzian Iran 26 861 2.9× 119 0.5× 176 1.3× 246 2.3× 639 6.5× 97 1.9k

Countries citing papers authored by Amirul Khan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Nasır, Abdul, et al.. (2025). The persistent pain enigma: Molecular drivers behind acute-to-chronic transition. Neuroscience & Biobehavioral Reviews. 173. 106162–106162. 3 indexed citations
2.
Molla, Md. Mamun, et al.. (2023). LBM-MHD Data-Driven Approach to Predict Rayleigh–Bénard Convective Heat Transfer by Levenberg–Marquardt Algorithm. Axioms. 12(2). 199–199. 8 indexed citations
3.
Molla, Md. Mamun, et al.. (2023). Mesoscopic CUDA 3D MRT-LBM Simulation of Natural Convection of Power-Law Fluids in a Differentially Heated Cubic Cavity with a Machine Learning Cross-Validation. Arabian Journal for Science and Engineering. 49(8). 10687–10723. 10 indexed citations
4.
Khan, Amirul, et al.. (2023). Current status in spatiotemporal analysis of contrast‐based perfusion MRI. Magnetic Resonance in Medicine. 91(3). 1136–1148. 6 indexed citations
5.
6.
Khatir, Z., et al.. (2022). The impact of 4D-Flow MRI spatial resolution on patient-specific CFD simulations of the thoracic aorta. Scientific Reports. 12(1). 15128–15128. 16 indexed citations
7.
Moreno-Rangel, Alejandro, et al.. (2022). Ventilation and Indoor Air Quality. Atmosphere. 13(10). 1730–1730. 4 indexed citations
8.
Nag, Preetom, et al.. (2022). Large-Eddy Simulation of Airflow and Pollutant Dispersion in a Model Street Canyon Intersection of Dhaka City. Atmosphere. 13(7). 1028–1028. 13 indexed citations
9.
King, Marco‐Felipe, Amanda M. Wilson, Mark H. Weir, et al.. (2021). Modeling fomite‐mediated SARS‐CoV‐2 exposure through personal protective equipment doffing in a hospital environment. Indoor Air. 32(1). e12938–e12938. 16 indexed citations
10.
Molla, Md. Mamun, et al.. (2021). Unsteady RANS simulation of wind flow around a building shape obstacle. Building Simulation. 15(2). 291–312. 18 indexed citations
11.
Molla, Md. Mamun, et al.. (2020). Graphics process unit accelerated lattice Boltzmann simulation of indoor air flow: Effects of sub-grid scale model in large-eddy simulation. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 234(20). 4024–4040. 7 indexed citations
12.
King, Marco‐Felipe, Amirul Khan, & Catherine J. Noakes. (2018). Coupled indoor/outdoor airflow simulation comparing ANSYS Fluent with a GPU-based lattice Boltzmann model for urban environments. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations
13.
Molla, Md. Mamun, et al.. (2018). GPU Accelerated Multiple-Relaxation-Time Lattice Boltzmann Simulation of Convective Flows in a Porous Media. Frontiers in Mechanical Engineering. 4. 32 indexed citations
14.
King, Marco‐Felipe, Amirul Khan, Hannah Gough, et al.. (2017). Modelling urban airflow and natural ventilation using a GPU-based lattice-Boltzmann method. Building and Environment. 125. 273–284. 56 indexed citations
15.
Khan, Amirul, et al.. (2015). Real-time flow simulation of indoor environments using lattice Boltzmann method. Building Simulation. 8(4). 405–414. 32 indexed citations
16.
Noakes, Catherine J., et al.. (2014). Computational fluid dynamics modelling and optimisation of an upper-room ultraviolet germicidal irradiation system in a naturally ventilated hospital ward. Indoor and Built Environment. 23(3). 449–466. 22 indexed citations
17.
Summers, Jonathan, et al.. (2013). Optimized implementation of the Lattice Boltzmann Method on a graphics processing unit towards real-time fluid simulation. Computers & Mathematics with Applications. 67(2). 462–475. 54 indexed citations
18.
Khan, Amirul, Catherine J. Noakes, & Vassili Toropov. (2012). Development of a numerical optimization approach to ventilation system design to control airborne contaminant dispersion and occupant comfort. Building Simulation. 5(1). 39–50. 9 indexed citations
19.
Kivotides, Demosthenes, J. C. Vassilicos, Carlo F. Barenghi, Amirul Khan, & David C. Samuels. (2001). Quantum Signature of Superfluid Turbulence. Physical Review Letters. 87(27). 275302–275302. 17 indexed citations
20.
Khan, Amirul & J. C. Vassilicos. (2001). Scalings of scalar structure functions in a velocity field with coherent vortical structures. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(1). 16304–16304. 2 indexed citations

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.

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