On the largest and least eigenvalues of eccentricity matrix of trees

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He, Xiaocong, and Lu Lu. “On the Largest and Least Eigenvalues of Eccentricity Matrix of Trees”. Discrete Mathematics, vol. 345, no. 1, 2022, p. 112662, https://doi.org/10.1016/j.disc.2021.112662.
He, X., & Lu, L. (2022). On the largest and least eigenvalues of eccentricity matrix of trees. Discrete Mathematics, 345(1), 112662. https://doi.org/10.1016/j.disc.2021.112662
He X, Lu L. On the largest and least eigenvalues of eccentricity matrix of trees. Discrete Mathematics. 2022;345(1):112662.
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Mathematics
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Category Category Repetition
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Technology: Engineering (General). Civil engineering (General)8
Medicine1
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The category Science: Mathematics 18 is the most frequently represented among the references in this article. It primarily includes studies from Linear Algebra and its Applications The chart below illustrates the number of referenced publications per year.
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Citations
Title Journal Journal Categories Citations Publication Date
The Complete Classification of Graphs whose Second Largest Eigenvalue of the Eccentricity Matrix is Less Than 1 Acta Mathematica Sinica, English Series
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 1 2024
On the Eccentricity Matrices of Certain Bi-Block Graphs Bulletin of the Malaysian Mathematical Sciences Society
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Minimizers for the energy of eccentricity matrices of trees Linear and Multilinear Algebra
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 1 2024
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 1 2023
On graphs with exactly one anti-adjacency eigenvalue and beyond Discrete Mathematics
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 3 2023
Citations Analysis
Category Category Repetition
Science: Mathematics11
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods6
Technology: Engineering (General). Civil engineering (General)3
Technology: Manufactures: Production management. Operations management1
The category Science: Mathematics 11 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled The diameter and eccentricity eigenvalues of graphs and was published in 2022. The most recent citation comes from a 2024 study titled The Complete Classification of Graphs whose Second Largest Eigenvalue of the Eccentricity Matrix is Less Than 1. This article reached its peak citation in 2022, with 6 citations. It has been cited in 10 different journals, 10% of which are open access. Among related journals, the Discrete Applied Mathematics 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