Modularity and community detection in human brain morphology

Article Properties
Abstract
Cite
Schuurman, Tim, and Emiliano Bruner. “Modularity and Community Detection in Human Brain Morphology”. The Anatomical Record, vol. 307, no. 2, 2023, pp. 345-5, https://doi.org/10.1002/ar.25308.
Schuurman, T., & Bruner, E. (2023). Modularity and community detection in human brain morphology. The Anatomical Record, 307(2), 345-355. https://doi.org/10.1002/ar.25308
Schuurman, Tim, and Emiliano Bruner. “Modularity and Community Detection in Human Brain Morphology”. The Anatomical Record 307, no. 2 (2023): 345-55. https://doi.org/10.1002/ar.25308.
Schuurman T, Bruner E. Modularity and community detection in human brain morphology. The Anatomical Record. 2023;307(2):345-5.
Journal Categories
Science
Biology (General)
Science
Chemistry
Organic chemistry
Biochemistry
Science
Human anatomy
Refrences
Title Journal Journal Categories Citations Publication Date
Network models in anatomical systems 2011
A systems‐model for the morphological analysis of integration and modularity in human craniofacial evolution 2008
The igraph software package for complex network research 2006
The neurocranial basis for facial form and pattern 1973
The morphological and morphogenetic basis for craniofacial form and pattern 1971
Citations
Title Journal Journal Categories Citations Publication Date
Overlapping Community Detection Based on Weak Equiconcept IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2024
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Overlapping Community Detection Based on Weak Equiconcept and was published in 2024. The most recent citation comes from a 2024 study titled Overlapping Community Detection Based on Weak Equiconcept. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the IEEE Access 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