Abstract Artificial intelligence tools are new in taphonomy and are growing fast. They are being used mainly to investigate bone surface marks. In order to investigate this subject, a bibliometric study was made to understand the growing rate of this intersectional field, the future, and gaps in the field until now. From Scopus and Google Scholar metadata, graphs were made to describe the data, and inferential statistics were made by regression with the Ordinary Least Squares method. Exploratory analysis with word clouds, topic modeling, and natural language processing with Latent Dirichlet Allocation as a method were also made using the entire corpus from the papers. From the first register until 2023, we found eight articles in Scopus and 32 in Google Scholar; the majority of the studies and the most cited were from Spain. The studies are growing fast from 2016 to 2018, and the regression shows that growth can be maintained in the coming years. Exploratory analysis shows the most frequent words are marks, models, data, and bone. Topic modeling shows that the studies are highly concentrated on similar problems and the tools to solve them, revealing that there is much more to explore with computational tools in taphonomy and paleontology as well. marks subject future now metadata data clouds papers 2023 3 Spain 201 2018 years models them well 202 20 2

Abstract The number of isotopic studies on Quaternary megafauna has increased over the last decades, yet, there is no published data addressing the status of scientific production of this research field. The present study shows the results of a bibliometric research carried out in the Scopus database where the publishing trends within this scientific field was analyzed using the open source software tool SciMAT. We retrieved 278 papers published from 1980 to 2019 and observed that a significant increase in publishing has mainly occurred in the last decade analyzed here. We also identified some of the field´s most influential articles and journals; recognized that carbon, oxygen and nitrogen isotopes are the most used markers in these studies; and that the most cited taxa are representatives of Equidae, Bovidae and Proboscidae. Also, Paleoecology is the basic thematic area, whereas Climate and Paleoenvironmental Changes is the one with the greatest development potential. Our results clearly show that the isotopic study on Quaternary megafauna is still under development and that some subjects could be further explored, such as analyzing more taxa within Carnivora, Pilosa, Notoungulata, Cetartiodactyla and Perissodactyla as well as using other less frequent stable isotope markers, such as strontium, calcium and hydrogen.