Abstract Three-dimensional (3D) artifact modeling is becoming an increasingly utilized tool in archaeology. In comparison with other methods of 3D scanning, photogrammetry has the benefits of being relatively inexpensive, mobile, and more adaptable for use in field conditions. As part of a larger project to document variability in lithic production systems across the Middle to…
Advances in Archaeological Practice Template
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About the Advances in Archaeological Practice format
Advances in Archaeological Practice is a peer-reviewed journal published by Cambridge University Press, covering Archaeological Research and Protection, Archaeology and ancient environmental studies, 3D Surveying and Cultural Heritage.
| Publisher | Cambridge University Press |
|---|---|
| Reference style | Numbered Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Advances in Archaeological Practice 12 (2023) 45–58.
Formats any DOI in the closest standard style — Advances in Archaeological Practice has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Archaeological Research and Protection Archaeology and ancient environmental studies 3D Surveying and Cultural Heritage Cultural Heritage Management and Preservation Image Processing and 3D Reconstruction |
| ISSN | 2326-3768 |
| Citation impact (2-yr) | 1.41 |
| h-index | 37 |
| i10-index | 180 |
| Total citations | 5,680 |
| Open access | Yes |
| Top institutions publishing here | Arizona State University |
| Journal website | www.cambridge.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Advances in Archaeological Practice per year
Citation impact of Advances in Archaeological Practice by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Advances in Archaeological Practice
Overview Machine learning (ML) is rapidly being adopted by archaeologists interested in analyzing a range of geospatial, material cultural, textual, natural, and artistic data. The algorithms are particularly suited toward rapid identification and classification of archaeological features and objects. The results of these new studies include identification of many new sites around the world and…
Abstract The use of airborne LiDAR (Light Detection and Ranging) in western Belize, Central America, has revolutionized our understanding of the spatial dynamics of the ancient Maya. This technology has enabled researchers to successfully demonstrate the large-scale human modifications made to the ancient tropical landscape, providing insight on broader regional settlement. Before the advent of…
Abstract Luminescence dating provides a direct age estimate of the time of last exposure of quartz or feldspar minerals to light or heat and has been successfully applied to deposits, rock surfaces, and fired materials in a number of archaeological and geological settings. Sampling strategies are diverse and can be customized depending on local circumstances,…
ABSTRACT Preservation of digital data is predicated on the expectation of its reuse, yet that expectation has never been examined within archaeology. While we have extensive digital archives equipped to share data, evidence of reuse seems paradoxically limited. Most archaeological discussions have focused on data management and preservation and on disciplinary practices surrounding archiving and…