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VISUAL REVIEW International Visual Culture Review
Article . 2025 . Peer-reviewed
License: CC BY ND
Data sources: Crossref
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Análisis Bibliométrico de la Animación 3D en el Contexto de la Cultura Digital

Evolución, Tendencias y Contribuciones (2000-2024)
Authors: Andrea Paola Velasco Donoso; Newton Antonio Gallardo Pérez; Víctor Hugo Cantos Luces;

Análisis Bibliométrico de la Animación 3D en el Contexto de la Cultura Digital

Abstract

This study presents a comprehensive bibliometric analysis of 3D animation research within digital culture from 2000 to 2024. The findings show steady growth in scientific production up to 2021, driven by rapid technological advances and their application in various fields such as education, medicine, and entertainment. China, the United States, and Canada stand out as the main contributors, although China’s lower level of international collaboration points to opportunities for strengthening global research networks. The keyword analysis reveals a marked increase in topics related to virtual reality, augmented reality, and e-learning, reflecting the adoption of immersive technologies in both educational and professional contexts. Likewise, emerging areas centered on artificial intelligence and machine learning broaden the spectrum of applications and improve efficiency in 3D animation production. Limitations include the reliance on a single database and the exclusion of non-English documents, which could underestimate significant contributions in other languages. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid