Geodesic complexity of motion planning

Article Properties
Cite
Recio-Mitter, David. “Geodesic Complexity of Motion Planning”. Journal of Applied and Computational Topology, vol. 5, no. 1, 2021, pp. 141-78, https://doi.org/10.1007/s41468-020-00064-w.
Recio-Mitter, D. (2021). Geodesic complexity of motion planning. Journal of Applied and Computational Topology, 5(1), 141-178. https://doi.org/10.1007/s41468-020-00064-w
Recio-Mitter D. Geodesic complexity of motion planning. Journal of Applied and Computational Topology. 2021;5(1):141-78.
Refrences
Title Journal Journal Categories Citations Publication Date
Topological complexity and efficiency of motion planning algorithms Revista Matemática Iberoamericana
  • Science: Mathematics
  • Science: Mathematics
6 2018
10.1090/S0002-9939-2014-12146-0 2014
Motion planning in tori Bulletin of the London Mathematical Society
  • Science: Mathematics
14 2008
10.4310/AJM.2005.v9.n1.a8 2005
Topological Complexity of Motion Planning Discrete & Computational Geometry
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
166 2003
Citations Analysis
Category Category Repetition
Science: Mathematics3
The category Science: Mathematics 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Geodesic complexity for non-geodesic spaces and was published in 2021. The most recent citation comes from a 2024 study titled Geodesic complexity of a cube. This article reached its peak citation in 2024, with 2 citations. It has been cited in 4 different journals. Among related journals, the Boletín de la Sociedad Matemática Mexicana cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year