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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Dynamic modification of cut marks by trampling: temporal assessment through the use of mixed-effect regressions and deep learning methods
Marcos Pizarro‐Monzo, Manuel Domínguez‐Rodrigo
Archaeological and Anthropological Sciences (2020) Vol. 12, Iss. 1
Closed Access | Times Cited: 21

Showing 21 citing articles:

Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications
Manuel Domínguez‐Rodrigo, Gabriel Cifuentes‐Alcobendas, Blanca Jiménez‐García, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 50
TESTING THE RELIABILITY OF GEOMETRIC MORPHOMETRIC AND COMPUTER VISION METHODS TO IDENTIFY CARNIVORE AGENCY USING BI-DIMENSIONAL INFORMATION
Manuel Domínguez‐Rodrigo, Marina Vegara-Riquelme, Juan Francisco Palomeque‐González, et al.
Quaternary Science Advances (2025), pp. 100268-100268
Open Access
Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars
Blanca Jiménez‐García, Jose L Aznarte, Natalia Abellán, et al.
Journal of The Royal Society Interface (2020) Vol. 17, Iss. 168, pp. 20200446-20200446
Open Access | Times Cited: 30
Deep learning classification of tooth scores made by different carnivores: achieving high accuracy when comparing African carnivore taxa and testing the hominin shift in the balance of power
Natalia Abellán, Blanca Jiménez‐García, Jose L Aznarte, et al.
Archaeological and Anthropological Sciences (2021) Vol. 13, Iss. 2
Closed Access | Times Cited: 27
Deep learning identification of anthropogenic modifications on a carnivore remain suggests use of hyena pelts by Neanderthals in the Navalmaíllo rock shelter (Pinilla del Valle, Spain)
Abel Moclán, Manuel Domínguez‐Rodrigo, Rosa Huguet, et al.
Quaternary Science Reviews (2024) Vol. 329, pp. 108560-108560
Closed Access | Times Cited: 3
Subsistence behavior during the Initial Upper Paleolithic in Europe: Site use, dietary practice, and carnivore exploitation at Bacho Kiro Cave (Bulgaria)
Geoffrey M. Smith, Rosen Spasov, Naomi L. Martisius, et al.
Journal of Human Evolution (2021) Vol. 161, pp. 103074-103074
Open Access | Times Cited: 21
Using machine learning on new feature sets extracted from three-dimensional models of broken animal bones to classify fragments according to break agent
Katrina Yezzi-Woodley, Alexander Terwilliger, Jiafeng Li, et al.
Journal of Human Evolution (2024) Vol. 187, pp. 103495-103495
Closed Access | Times Cited: 2
Use and Misuse of Machine Learning in Anthropology
Jeff Calder, Reed Coil, J. Anne Melton, et al.
IEEE BITS the Information Theory Magazine (2022), pp. 1-13
Open Access | Times Cited: 11
High-accuracy in the classification of butchery cut marks and crocodile tooth marks using machine learning methods and computer vision algorithms
Natalia Abellán, Enrique Baquedano, Manuel Domínguez‐Rodrigo
Geobios (2022) Vol. 72-73, pp. 12-21
Closed Access | Times Cited: 9
A deep learning-based taphonomical approach to distinguish the modifying agent in the Late Pleistocene site of Toll Cave (Barcelona, Spain)
Marcos Pizarro‐Monzo, Jordi Rosell, Anna Rufà, et al.
Historical Biology (2023) Vol. 36, Iss. 10, pp. 2114-2123
Closed Access | Times Cited: 4
Identification of chemically altered cut marks: an experimental approach from Geometrics Morphometrics
David de la Fuente, Lloyd A. Courtenay, Darío Herranz‐Rodrigo, et al.
Archaeological and Anthropological Sciences (2024) Vol. 16, Iss. 11
Open Access | Times Cited: 1
Deep classification of cut-marks on bones from Arroyo del Vizcaíno (Uruguay)
Manuel Domínguez‐Rodrigo, Enrique Baquedano, Luciano Varela, et al.
Proceedings of the Royal Society B Biological Sciences (2021) Vol. 288, Iss. 1954, pp. 20210711-20210711
Open Access | Times Cited: 10
Determining the diagenetic paths of archaeofaunal assemblages and their palaeoecology through artificial intelligence: an application to Oldowan sites from Olduvai Gorge (Tanzania)
Marcos Pizarro‐Monzo, Elia Organista, Lucía Cobo‐Sánchez, et al.
Journal of Quaternary Science (2021) Vol. 37, Iss. 3, pp. 543-557
Open Access | Times Cited: 9
More than meets the eye: use of computer vision algorithms to identify stone tool material through the analysis of cut mark micro-morphology
Gabriel Cifuentes‐Alcobendas, Manuel Domínguez‐Rodrigo
Archaeological and Anthropological Sciences (2021) Vol. 13, Iss. 10
Open Access | Times Cited: 8
Use of Generative Adversarial Networks (GAN) for Taphonomic Image Augmentation and Model Protocol for the Deep Learning Analysis of Bone Surface Modifications
Manuel Domínguez‐Rodrigo, Ander Fernández-Jaúregui, Gabriel Cifuentes‐Alcobendas, et al.
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 5237-5237
Open Access | Times Cited: 7
African bovid tribe classification using transfer learning and computer vision
Manuel Domínguez‐Rodrigo, Juliet K. Brophy, Gregory J. Mathews, et al.
Annals of the New York Academy of Sciences (2023) Vol. 1530, Iss. 1, pp. 152-160
Open Access | Times Cited: 2
Overview of computational methods in taphonomy based on the combination of bibliometric analysis and natural language
Ronaldo Araujo Leoni, Laís Alves Silva, Hermínio Ismael de Araújo‐Júnior
Anais da Academia Brasileira de Ciências (2024) Vol. 96, Iss. 3
Open Access
Artificial intelligence for the identification of taphonomic bio-accumulator agents: an actualistic test of potential faunal accumulation agency applied to Tritons Cave (Lleida, Spain)
Blanca Jiménez‐García, Cristian Micó, Marcos Pizarro‐Monzo, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 10
Open Access
A New Open‐Access Method Applying GIS Techniques to the Study of Slicing, Scraping, and Tooth Marks
Eboni Westbury, Sofía Samper Carro
International Journal of Osteoarchaeology (2024)
Closed Access
Deep Learning-Based Computer Vision Is Not Yet the Answer to Taphonomic Equifinality in Bone Surface Modifications
Lloyd A. Courtenay, Nicolas Vanderesse, Luc Doyon, et al.
Journal of Computer Applications in Archaeology (2024) Vol. 7, Iss. 1
Open Access
Human Agency in the Modification of Lestodon Bones at Arroyo del Vizcaíno? A Reply to Holcomb et al. (2022)
Manuel Domínguez‐Rodrigo, Enrique Baquedano
PaleoAmerica (2022) Vol. 8, Iss. 4, pp. 300-306
Closed Access | Times Cited: 2
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