Bibliometric Analysis

Bibliometric analysis uses quantitative methods to analyze scholarly publications, revealing trends, influential researchers, and knowledge structures within specific fields. Current research focuses on applying bibliometrics to emerging areas like artificial intelligence (including deep learning, large language models, and reinforcement learning), sustainable development goals, and responsible AI, often leveraging machine learning techniques for enhanced analysis and knowledge discovery. These analyses provide valuable insights for researchers, policymakers, and practitioners by illuminating research landscapes, identifying impactful contributions, and informing resource allocation and future research directions.