ArticleJournal of forensic sciences2025
A mathematical model for scientifically defining the class characteristics of the human anterior maxilla-Part 1: The dental arch.
Article in Journal of forensic sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Novel quantitative parameters for pediatric dental arch morphology in children aged 4-12 years.BMC oral health · 2026Article
- Identification of Population Affinity Using Dental Traits: A Narrative Review in Forensic Odontology.Health science reports · 2025Article
- A mathematical model for scientifically defining the class characteristics of the human anterior maxilla-Part 1: The dental arch.Journal of forensic sciences · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
Bitemark recognition reliability in forensics has been criticized for lacking objectivity and empirical support. Despite doubts about classifying these injuries as bitemarks, pattern injuries must still be legally documented and analyzed. Forensic odontology can benefit from aesthetic dentistry by adopting metric analysis methods to define human dentition and objectively assess whether a pattern resembles a dental arch. In addition, past research on the challenges of individualizing bitemarks has inadvertently also defined these class characteristics. Although objectively quantifying these metrics is critical, prospective research must prove their uniqueness to the human species as well as their dependable transference to substrates such as skin. To explore and qualitatively define the mathematical characteristics of variations in the maxillary dental arch, an under-researched aspect of forensic odontology, two scanners collected digital maxilla scans from 100 participants (50% male, 50% female). The arch shape's intercuspal distance and parabolic curvature (y = ax
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