Integrating Bibliometric and Complex Network Approaches for the Analysis of Publications on Intelligent Blockchains

This paper presents a comprehensive quantitative analysis of research publications in the field of Intelligent Blockchain, an area focused on integrating artificial intelligence into blockchain technology and exploring its wide-ranging applications. The study pursues two main objectives: first, to perform a bibliometric analysis of a curated set of academic articles; second, to illustrate how complex network-based methodologies can uncover hidden patterns within the research corpus. The bibliometric analysis highlights publication trends, key contributors, and influential works, offering a thorough overview of the field’s evolution. In parallel, the application of complex network techniques reveals structural and dynamic features of the research landscape, shedding light on concealed relationships and emerging patterns. By combining these approaches, the study demonstrates the added value of network-based analysis in deepening the understanding of scholarly progress and identifying future directions in Intelligent Blockchain research.