Structural Analysis of Multivariate Point Clouds Using Simplicial Chains

Article Properties
  • Language
    English
  • DOI (url)
    10.1111/cgf.12398
  • Publication Date
    2014/05/29
  • Journal
    Computer Graphics Forum
  • Indian UGC (journal)
  • Refrences
    28
  • Citations
    6
  • B. Rieck Interdisciplinary Center for Scientific Computing Heidelberg University Heidelberg Germany
  • H. Leitte Interdisciplinary Center for Scientific Computing Heidelberg University Heidelberg Germany
Abstract
Cite
Rieck, B., and H. Leitte. “Structural Analysis of Multivariate Point Clouds Using Simplicial Chains”. Computer Graphics Forum, vol. 33, no. 8, 2014, pp. 28-37, https://doi.org/10.1111/cgf.12398.
Rieck, B., & Leitte, H. (2014). Structural Analysis of Multivariate Point Clouds Using Simplicial Chains. Computer Graphics Forum, 33(8), 28-37. https://doi.org/10.1111/cgf.12398
Rieck, B., and H. Leitte. “Structural Analysis of Multivariate Point Clouds Using Simplicial Chains”. Computer Graphics Forum 33, no. 8 (2014): 28-37. https://doi.org/10.1111/cgf.12398.
Rieck B, Leitte H. Structural Analysis of Multivariate Point Clouds Using Simplicial Chains. Computer Graphics Forum. 2014;33(8):28-37.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
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Refrences
Title Journal Journal Categories Citations Publication Date
Proceedings of Symposia in Applied Mathematics 2012
Proceedings of Symposium on Point‐Based Graphics 2007
Proceedings of the ACM‐SIAM Symposium on Discrete Algorithms 2005
Multicore Homology 2013
Multicore Homology 2010
Citations
Title Journal Journal Categories Citations Publication Date
Spanning Trees as Approximation of Data Structures IEEE Transactions on Visualization and Computer Graphics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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Visualizing High-Dimensional Data: Advances in the Past Decade IEEE Transactions on Visualization and Computer Graphics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 4 2017
Graphs in Scientific Visualization: A Survey

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 22 2016
Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology

 Computer Graphics Forum
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 9 2016
A Survey of Topology‐based Methods in Visualization

 Computer Graphics Forum
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 74 2016
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science4
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Morse complexes for shape segmentation and homological analysis: discrete models and algorithms and was published in 2015. The most recent citation comes from a 2021 study titled Spanning Trees as Approximation of Data Structures. This article reached its peak citation in 2016, with 3 citations. It has been cited in 2 different journals. Among related journals, the Computer Graphics Forum cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year