Keywords
Bibliometrics
Scientific Production
Mexico
How to Cite
Abstract
This article surveys the current state of AI scientific production in Mexico using bibliometric techniques. It examines AI specialization across six subfields. As a methodology, it utilizes metadata from 13 265 publications–collected from the OpenAlex catalogue– and conducts a quantitative productivity analysis based on metrics of publications, authors, citations, and international collaborations, identifying key research themes and their development. Findings reveal a broad local scientific structure with significant international collaborations. Both mature subfields, developed over three decades, including robotics and neural networks, and emerging subfields, developed in the last five years, encompassing machine learning, natural language processing, and computer vision, were identified. The article highlights recent applications in the health, environment, finance, natural language processing, and acoustics fields.
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