The ParaView Guide: A Parallel Visualization Application
By Utkarsh Ayachit. 2015
1,295 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/186deea6be76314e04e20121dd703d4d53777030
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Stéphane P.A. Bordas
- Timon Rabczuk
- Vinh Phu Nguyen
- Xiaoying Zhuang
- Cosmin Anitescu
- Bjorn Stevens
- Hung Nguyen-Xuan
- Trung Nguyen-Thoi
Citations in the corpus
- Modeling UV Radiation Feedback from Massive Stars. II. Dispersal of Star-forming Giant Molecular Clouds by Photoionization and Radiation Pressure (2018, methodology): “The radiative transfer of ionizing and non-ionizing photons is handled by the adaptive ray tracing method (Abel & Wandelt 2002).”
- PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images (2019, background): “As such it does not attempt to offer 3D visualization which is already available in opensource software such as Paraview (Ayachit, 2015) and numerous sophisticated commercial packages (e.”
- Multiscale X-ray tomography of cementitious materials: A review (2020, background): “ParaView9 [148], VisIt10 [149], VisNow11 [150] and 3D Slicer12 [151] are open-source, general purpose, interactive software programs for visualization of large, multidimensional datasets.”
- pyGIMLi: An open-source library for modelling and inversion in geophysics (2017, methodology): “Several post-processing routines are provided to visualize results in 2D using Matplotlib (Hunter, 2007) and in 3D using the software ParaView (Ayachit, 2015) or Mayavi (Ramachandran and Varoquaux, 2011).”
- Features of Particle and Heavy Ion Transport code System (PHITS) version 3.02 (2018, methodology): “In addition, each particle track simulated by PHITS can be also drawn using ParaView.”
- Large‐eddy simulations over Germany using ICON: a comprehensive evaluation (2017, methodology): “Currently we use ParaView (Ayachit, 2015) and Vapor (Clyne et al.”
- Mantid - Data Analysis and Visualization Package for Neutron Scattering and $μ SR$ Experiments (2014, methodology): “The Mantid framework consists of a highly modular C++/Python architecture which supports user built plug-in functions as well as access to powerful visualization toolkits such as ParaView[6].”
- Isogeometric analysis: An overview and computer implementation aspects (2012, methodology): “This mesh together with the nodal values can then be exported to a visualization program such as Paraview, see [129], for visualization.”