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Artificial Intelligence (AI) has emerged as a transformative research domain, impacting various industries worldwide. Despite Brazil’s growing contributions to AI, comprehensive studies mapping its research landscape remain scarce. This study conducted a scientometric analysis of AI research in Brazil from 2021 to 2025, examining citation impact, thematic trends, institutional participation, funding distribution, and international collaborations. By analysing a dataset retrieved from the Web of Science Core Collection, we identify key research areas, assess funding agencies’ influence, and highlight Brazil’s position in the global AI research ecosystem. The findings reveal a significant growth in AI research output, with notable contributions in engineering, healthcare, and agribusiness, but also highlight challenges in funding disparities and underrepresented areas such as AI governance and education. This study provides critical insights to support strategic decision-making in AI policy and investment.

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Unveiling the Rise of Artificial Intelligence Studies in Brazil (2021–2025)

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  • 发表日期：

    2025年

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  • Luiz Flávio Felizardo,
  • Lázaro Eduardo da Silva,
  • Rodrigo Franklin Frogeri,
  • Liz Áurea Prado,
  • Eduardo Gomes Carvalho

摘要

Artificial Intelligence (AI) has emerged as a transformative research domain, impacting various industries worldwide. Despite Brazil’s growing contributions to AI, comprehensive studies mapping its research landscape remain scarce. This study conducted a scientometric analysis of AI research in Brazil from 2021 to 2025, examining citation impact, thematic trends, institutional participation, funding distribution, and international collaborations. By analysing a dataset retrieved from the Web of Science Core Collection, we identify key research areas, assess funding agencies’ influence, and highlight Brazil’s position in the global AI research ecosystem. The findings reveal a significant growth in AI research output, with notable contributions in engineering, healthcare, and agribusiness, but also highlight challenges in funding disparities and underrepresented areas such as AI governance and education. This study provides critical insights to support strategic decision-making in AI policy and investment.