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W. James Stemp
Researcher at Keene State College
Publications - 45
Citations - 992
W. James Stemp is an academic researcher from Keene State College. The author has contributed to research in topics: Stone tool & Lithic technology. The author has an hindex of 16, co-authored 41 publications receiving 793 citations. Previous affiliations of W. James Stemp include University of Victoria & University of New Hampshire.
Papers
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Journal ArticleDOI
Multiscale analyses and characterizations of surface topographies
Christopher A. Brown,Hans Nørgaard Hansen,Xiang Jane Jiang,François Blateyron,Johan Berglund,Nicola Senin,Nicola Senin,Tomasz Bartkowiak,Barnali M. Dixon,Gaëtan Le Goïc,Yann Quinsat,W. James Stemp,Mary Kathryn Thompson,Peter S. Ungar,E. Hassan Zahouani +14 more
TL;DR: This work develops a semantic and theoretical framework and proposes a new system for organizing and designating multiscale analyses and characterizations of surface topographies from the engineering and scientific literature with an emphasis on production engineering research and design.
Journal ArticleDOI
Documenting Stages of Polish Development on Experimental Stone Tools: Surface Characterization by Fractal Geometry Using UBM Laser Profilometry
W. James Stemp,Michael Stemp +1 more
TL;DR: In this paper, a UBM laser profilometry technique was used to identify and quantitatively document different wear polishes on stone tools used to work different contact materials and the identification of a fractal dimension (D r ) on some used tool surfaces.
Journal ArticleDOI
UBM Laser Profilometry and Lithic Use-Wear Analysis: A Variable Length Scale Investigation of Surface Topography
W. James Stemp,Michael Stemp +1 more
TL;DR: In this paper, a non-destructive measurement technique, laser profilometry, was used to quantify use-wear analysis, and the results showed that measurements could be made on several different chert and obsidian samples and these could be distinguished based on their wear histories.
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Surface analysis of stone and bone tools
TL;DR: Microwear (use-wear) analysis is a powerful method for identifying tool use that archaeologists and anthropologists employ to determine the activities undertaken by both humans and their hominin ancestors as discussed by the authors.
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Quantifying microwear on experimental Mistassini quartzite scrapers: preliminary results of exploratory research using LSCM and scale-sensitive fractal analysis.
TL;DR: This exploratory study incorporates a mathematical algorithm that permits the discrimination of surface roughness based on comparisons at multiple scales and employs measures of relative area coupled with the F-test to discriminate used from unused stone tool surfaces, as well as surfaces of quartzite scrapers used on dry and fresh deer hide.