Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool
Article Properties
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DOI (url)
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Publication Date2009/12/15
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Indian UGC (journal)
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Refrences15
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Citations8,581
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Alexander Stukowski
Cite
Stukowski, Alexander. “Visualization and Analysis of Atomistic Simulation Data With OVITO–the Open Visualization Tool”. Modelling and Simulation in Materials Science and Engineering, vol. 18, no. 1, 2009, p. 015012, https://doi.org/10.1088/0965-0393/18/1/015012.
Stukowski, A. (2009). Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool. Modelling and Simulation in Materials Science and Engineering, 18(1), 015012. https://doi.org/10.1088/0965-0393/18/1/015012
Stukowski, Alexander. “Visualization and Analysis of Atomistic Simulation Data With OVITO–the Open Visualization Tool”. Modelling and Simulation in Materials Science and Engineering 18, no. 1 (2009): 015012. https://doi.org/10.1088/0965-0393/18/1/015012.
1.
Stukowski A. Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool. Modelling and Simulation in Materials Science and Engineering. 2009;18(1):015012.
Journal Categories
Science
Chemistry
Science
Physics
Technology
Chemical technology
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Electrical engineering
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Mechanics of materials
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| AtomEye: an efficient atomistic configuration viewer | Modelling and Simulation in Materials Science and Engineering |
| 1,017 | 2003 |
| 10.1103/PhysRevB.54.11169 | ||||
| 10.1142/S0129183197000990 | ||||
| Fast Parallel Algorithms for Short-Range Molecular Dynamics | Journal of Computational Physics |
| 32,748 | 1995 |
| 10.2320/matertrans.MJ200769 |
Citations
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| 2024 | |
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| 2024 | |
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| 2024 | |
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Citations Analysis
The category
Science: Chemistry 5,655
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Nanotwinned fcc metals: Strengthening versus softening mechanisms and was published in 2010. The most recent citation comes from a 2024 study titled Molecular Dynamics Study on the Capture of Aluminum Particles by Carbon Fibers during the Propagation of Aluminum-Based Energetics. This article reached its peak citation in 2023, with 1,594 citations. It has been cited in 827 different journals, 15% of which are open access. Among related journals, the Computational Materials Science cited this research the most, with 603 citations. The chart below illustrates the annual citation trends for this article.