The Role of Artificial Intelligence in Gaming

Artificial Intelligence (AI) has become a transformative force in the gaming industry, enhancing gameplay mechanics while expanding applications in education, healthcare, and human–computer interaction. The rapid growth of research in this domain requires a bibliometric review of its intellectual structure and thematic evolution. This study conducts a comprehensive bibliometric analysis of 5114 peer-reviewed documents indexed in Scopus and Web of Science between 2016 and 2025. Using performance indicators, co-authorship networks, and keyword co-occurrence mapping, the analysis identifies the most productive journals, countries, institutions, and authors contributing to the field. Citation analysis highlights seminal works on deep reinforcement learning as intellectual milestones, while keyword and thematic mapping reveal a dual trajectory: the development of advanced AI frameworks (reinforcement learning, deep learning, federated learning) and their application in societal domains such as education, psychology, and healthcare. The findings provide a consolidated overview of scientific production, intellectual influence, and thematic directions, contributing to a better understanding of the current state and prospects of AI–gaming research.

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Publication Details

Journal
Applied Sciences
Published
2025-11-21
DOI
https://doi.org/10.3390/app152312358
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Artificial Intelligence in Gaming

Γεώργιος Λαμπρόπουλος, Pablo Fernández‐Arias, Diego Vergara, Antonio del Bosque
Applied Sciences
Educational Games and Gamification
article

The Role of Artificial Intelligence in Gaming

Γεώργιος Λαμπρόπουλος, Pablo Fernández‐Arias, Diego Vergara, Antonio del Bosque
article en

Abstract

Artificial Intelligence (AI) has become a transformative force in the gaming industry, enhancing gameplay mechanics while expanding applications in education, healthcare, and human–computer interaction. The rapid growth of research in this domain requires a bibliometric review of its intellectual structure and thematic evolution. This study conducts a comprehensive bibliometric analysis of 5114 peer-reviewed documents indexed in Scopus and Web of Science between 2016 and 2025. Using performance indicators, co-authorship networks, and keyword co-occurrence mapping, the analysis identifies the most productive journals, countries, institutions, and authors contributing to the field. Citation analysis highlights seminal works on deep reinforcement learning as intellectual milestones, while keyword and thematic mapping reveal a dual trajectory: the development of advanced AI frameworks (reinforcement learning, deep learning, federated learning) and their application in societal domains such as education, psychology, and healthcare. The findings provide a consolidated overview of scientific production, intellectual influence, and thematic directions, contributing to a better understanding of the current state and prospects of AI–gaming research.

Applied SciencesVol. 15(23)
University of Nicosia (CY), Catholic University of Ávila (ES), University of Macedonia (GR)
Openalex Percentile: Top 61%
Educational Games and Gamification
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