OOIR: Observatory of International Research

Papers

(The H4-Index of Physics of Fluids is 62. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)

Article	Citations
On coughing and airborne droplet transmission to humans	425
On respiratory droplets and face masks	266
Visualizing the effectiveness of face masks in obstructing respiratory jets	242
Numerical investigation of aerosol transport in a classroom with relevance to COVID-19	171
Numerical modeling of the distribution of virus carrying saliva droplets during sneeze and cough	169
A unified theory for bubble dynamics	160
Modeling the role of respiratory droplets in Covid-19 type pandemics	159
Sneezing and asymptomatic virus transmission	150
Likelihood of survival of coronavirus in a respiratory droplet deposited on a solid surface	140
Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders	134
Dispersion of evaporating cough droplets in tropical outdoor environment	126
Visualizing droplet dispersal for face shields and masks with exhalation valves	121
A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries	118
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning	117
Disease transmission through expiratory aerosols on an urban bus	116
Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field data	115
Weather impact on airborne coronavirus survival	114
Estimating COVID-19 exposure in a classroom setting: A comparison between mathematical and numerical models	113
Cold atmospheric plasma for SARS-CoV-2 inactivation	112
Can a toilet promote virus transmission? From a fluid dynamics perspective	110
A mathematical framework for estimating risk of airborne transmission of COVID-19 with application to face mask use and social distancing	107
Deep neural networks for nonlinear model order reduction of unsteady flows	107
Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow	106
Simulation-based study of COVID-19 outbreak associated with air-conditioning in a restaurant	105
Physics-informed neural networks for solving Reynolds-averaged Navier–Stokes equations	104

Complex system approach to investigate and mitigate thermoacoustic instability in turbulent combustors	99
Transport and fate of human expiratory droplets—A modeling approach	98
On airborne virus transmission in elevators and confined spaces	97
Uncovering near-wall blood flow from sparse data with physics-informed neural networks	96
Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels	90
Grid-point and time-step requirements for direct numerical simulation and large-eddy simulation	89
Aerosol persistence in relation to possible transmission of SARS-CoV-2	83
High-pressure methane adsorption behavior on deep shales: Experiments and modeling	82
An interpretable framework of data-driven turbulence modeling using deep neural networks	81
On closures for reduced order models—A spectrum of first-principle to machine-learned avenues	80
Euler–Lagrange study of cavitating turbulent flow around a hydrofoil	80
Diffusiophoretic separation of colloids in microfluidic flows	79
Numerical study on transition structures of oblique detonations with expansion wave from finite-length cowl	76
Physics guided machine learning using simplified theories	76
Applying deep reinforcement learning to active flow control in weakly turbulent conditions	75
From coarse wall measurements to turbulent velocity fields through deep learning	75
Control of unsteady partial cavitation and cloud cavitation in marine engineering and hydraulic systems	74
Transmission of airborne virus through sneezed and coughed droplets	74
The rheological performance of shear-thickening fluids based on carbon fiber and silica nanocomposite	73
Recharging and rejuvenation of decontaminated N95 masks	73
The acoustic pressure generated by the cavitation bubble expansion and collapse near a rigid wall	73
Simulation of aerosol transmission on a Boeing 737 airplane with intervention measures for COVID-19 mitigation	70
Spontaneous imbibition in tight porous media with different wettability: Pore-scale simulation	69
Thermo-fluidic transport process in a novel M-shaped cavity packed with non-Darcian porous medium and hybrid nanofluid: Application of artificial neural network (ANN)	67
Simulation of multi-species flow and heat transfer using physics-informed neural networks	67
Large-eddy simulation of flow past a circular cylinder for Reynolds numbers 400 to 3900	67
A study of fluid dynamics and human physiology factors driving droplet dispersion from a human sneeze	67
Experimental visualization of sneezing and efficacy of face masks and shields	67
Finite element analysis of hybrid nanofluid flow and heat transfer in a split lid-driven square cavity with Y-shaped obstacle	66
A review of the state-of-the-art nanofluid spray and jet impingement cooling	66
Tailoring surface wettability to reduce chances of infection of COVID-19 by a respiratory droplet and to improve the effectiveness of personal protection equipment	65
Droplet breakup and coalescence of an internal-mixing twin-fluid spray	65
The motion of respiratory droplets produced by coughing	65
Dense velocity reconstruction from particle image velocimetry/particle tracking velocimetry using a physics-informed neural network	64
Why coronavirus survives longer on impermeable than porous surfaces	64
Mesoscopic simulation of three-dimensional pool boiling based on a phase-change cascaded lattice Boltzmann method	64
Nuclear magnetic resonance study on the influence of liquid nitrogen cold soaking on the pore structure of different coals	63
Universal trends in human cough airflows at large distances	62