Surface Map Homology Inference

Article Properties
Abstract
Cite
Born, J., et al. “Surface Map Homology Inference”. Computer Graphics Forum, vol. 40, no. 5, 2021, pp. 193-04, https://doi.org/10.1111/cgf.14367.
Born, J., Schmidt, P., Campen, M., & Kobbelt, L. (2021). Surface Map Homology Inference. Computer Graphics Forum, 40(5), 193-204. https://doi.org/10.1111/cgf.14367
Born, J., P. Schmidt, M. Campen, and L. Kobbelt. “Surface Map Homology Inference”. Computer Graphics Forum 40, no. 5 (2021): 193-204. https://doi.org/10.1111/cgf.14367.
Born J, Schmidt P, Campen M, Kobbelt L. Surface Map Homology Inference. Computer Graphics Forum. 2021;40(5):193-204.
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
Generating the Torelli group 2012
Globally optimal surface mapping for surfaces with arbitrary topology 2008
Representing homology classes by embedded circles on a compact surface 1978
Algebraic Topology 2002
10.1109/3DV.2017.00065
Citations
Title Journal Journal Categories Citations Publication Date
How close is a quad mesh to a polycube? Computational Geometry
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  • Science: Mathematics
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  • Technology: Engineering (General). Civil engineering (General)
 2023
Surface Maps via Adaptive Triangulations

 Computer Graphics Forum
  • 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
 1 2023
Winding Numbers on Discrete Surfaces

 ACM Transactions on 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
 1 2023
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Science: Mathematics1
Technology: Engineering (General). Civil engineering (General)1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Winding Numbers on Discrete Surfaces and was published in 2023. The most recent citation comes from a 2023 study titled Winding Numbers on Discrete Surfaces. This article reached its peak citation in 2023, with 3 citations. It has been cited in 3 different journals. Among related journals, the ACM Transactions on Graphics cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year