scispace - formally typeset
M

Mubarak A. Bidmos

Researcher at University of the Witwatersrand

Publications -  36
Citations -  1828

Mubarak A. Bidmos is an academic researcher from University of the Witwatersrand. The author has contributed to research in topics: Population & Forensic anthropology. The author has an hindex of 22, co-authored 31 publications receiving 1697 citations. Previous affiliations of Mubarak A. Bidmos include Qatar University.

Papers
More filters
Journal ArticleDOI

The history and composition of the Raymond A. Dart Collection of Human Skeletons at the University of the Witwatersrand, Johannesburg, South Africa.

TL;DR: The inventory and analysis of the Dart Collection is aimed to assist researchers planning research on the materials from this collection and provides an updated inventory and demographic assessment of this valuable research collection.
Journal ArticleDOI

An assessment of sex using the skull of black South Africans by discriminant function analysis.

TL;DR: This study uses traditional anthropometric measurements and equipment to address the question of sex determination from the crania and mandible of blacks and shows that traditional methods provide average accuracies that are comparable to those obtained using more complex techniques.
Journal ArticleDOI

Discriminant function sexing of the calcaneus of the South African whites.

TL;DR: It is concluded that the calcaneus, a compact bone that is able to withstand high tensile forces, is useful for sex determination in the South African white population.
Journal ArticleDOI

Anatomical variations in the human testicular blood vessels.

TL;DR: Anatomical variations of the testicular artery were present in 4.7% of cases and were associated with their origin, which were either from unusually high levels of the abdominal aorta or from the renal artery.
Journal ArticleDOI

Sexual dimorphism of the calcaneus of South African blacks.

TL;DR: Length measurements were found to be the most sexually dimorphic in South African blacks, and combinations of variables provided better estimate of sex than individual variables.