Trends and Developments in Machine Learning-based Signature Analysis: A Bibliometric and Thematic Content Review

Key Points

• To analyze trends and developments in machine learning-based signature analysis through a bibliometric and thematic review.
• Conducted bibliometric analysis of published research on machine learning and signature analysis.
• Performed thematic content analysis to identify key trends and developments.
• Gathered data from various scientific journals and conferences across multiple disciplines.
• Identified significant growth in publications related to machine learning applications in signature analysis.
• Highlighted key areas of research, including technological advancements and interdisciplinary applications.
• Showed increasing collaboration among researchers across different fields.