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 2020-04-01 to 2024-04-01.)

Article	Citations
On coughing and airborne droplet transmission to humans	421
On respiratory droplets and face masks	264
Visualizing the effectiveness of face masks in obstructing respiratory jets	240
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	167
Modeling the role of respiratory droplets in Covid-19 type pandemics	159
A unified theory for bubble dynamics	152
Sneezing and asymptomatic virus transmission	148
Likelihood of survival of coronavirus in a respiratory droplet deposited on a solid surface	138
Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders	127
Dispersion of evaporating cough droplets in tropical outdoor environment	125
Visualizing droplet dispersal for face shields and masks with exhalation valves	120
Disease transmission through expiratory aerosols on an urban bus	115
Weather impact on airborne coronavirus survival	114
A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries	113
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning	113
Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field data	111
Estimating COVID-19 exposure in a classroom setting: A comparison between mathematical and numerical models	110
Can a toilet promote virus transmission? From a fluid dynamics perspective	110
Cold atmospheric plasma for SARS-CoV-2 inactivation	109
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	106
Simulation-based study of COVID-19 outbreak associated with air-conditioning in a restaurant	105
Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow	104
Complex system approach to investigate and mitigate thermoacoustic instability in turbulent combustors	97

Physics-informed neural networks for solving Reynolds-averaged Navier–Stokes equations	97
Transport and fate of human expiratory droplets—A modeling approach	96
On airborne virus transmission in elevators and confined spaces	95
Uncovering near-wall blood flow from sparse data with physics-informed neural networks	91
Grid-point and time-step requirements for direct numerical simulation and large-eddy simulation	87
Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels	83
Aerosol persistence in relation to possible transmission of SARS-CoV-2	82
High-pressure methane adsorption behavior on deep shales: Experiments and modeling	81
An interpretable framework of data-driven turbulence modeling using deep neural networks	79
On closures for reduced order models—A spectrum of first-principle to machine-learned avenues	78
Diffusiophoretic separation of colloids in microfluidic flows	76
Numerical study on transition structures of oblique detonations with expansion wave from finite-length cowl	75
Euler–Lagrange study of cavitating turbulent flow around a hydrofoil	75
Applying deep reinforcement learning to active flow control in weakly turbulent conditions	74
Transmission of airborne virus through sneezed and coughed droplets	73
Physics guided machine learning using simplified theories	72
Control of unsteady partial cavitation and cloud cavitation in marine engineering and hydraulic systems	72
From coarse wall measurements to turbulent velocity fields through deep learning	71
The acoustic pressure generated by the cavitation bubble expansion and collapse near a rigid wall	71
Recharging and rejuvenation of decontaminated N95 masks	71
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
Rotor interactional effects on aerodynamic and noise characteristics of a small multirotor unmanned aerial vehicle	67
Experimental visualization of sneezing and efficacy of face masks and shields	66
Finite element analysis of hybrid nanofluid flow and heat transfer in a split lid-driven square cavity with Y-shaped obstacle	65
A study of fluid dynamics and human physiology factors driving droplet dispersion from a human sneeze	65
Large-eddy simulation of flow past a circular cylinder for Reynolds numbers 400 to 3900	65
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	64
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
The motion of respiratory droplets produced by coughing	64
Mesoscopic simulation of three-dimensional pool boiling based on a phase-change cascaded lattice Boltzmann method	63
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)	62
The rheological performance of shear-thickening fluids based on carbon fiber and silica nanocomposite	62
Universal trends in human cough airflows at large distances	62
A review of the state-of-the-art nanofluid spray and jet impingement cooling	62