Exploring Research Trends in Blockchain and Crypto-Assets Using Various Sources

This article explores research trends in blockchain technology and crypto-assets through a large-scale bibliometric and topical analysis of academic literature published between 2015 and 2025. Utilizing bibliographic data from Scopus and OpenAlex, we examine a corpus of 56,112 peer-reviewed publications, incorporating 83,479 indexed keywords. Our methodology integrates natural language processing techniques to analyze article abstracts and keyword co-occurrences, enabling the identification of conceptual clusters and the tracking of thematic evolution over time. By drawing on multiple data sources and analytical approaches, this study provides a rich, data-driven perspective on the intellectual landscape of blockchain research and highlights emerging directions, dominant themes, and opportunities for further investigation.