A Brief Technical History of SCOPUS and SCOPUS AI

SCOPUS is a complex digital information system and reference database which collates and processes data on academic institutions, authors and researchers, and publications, including peer-reviewed journals, textbooks, conference proceedings, preprints and patents on a global basis. The outputs of a range of analyses of this data include bibliometric measurements of the performance of these many elements, and intelligence which informs institutions, corporations and governments on investments and their outputs. Through these functions and the huge investments in resources which have made the system possible, SCOPUS exercises a major influence over global behaviours across the global academic ecosystem, and its owners, Elsevier BV of the Netherlands, seek to do so in a responsible manner. SCOPUS has been in continuous evolution since it was first conceived in the early 2000s. I have sought to capture many facets of the system in a series of essays from my privileged insights as the Subject Chair for Medicine on the SCOPUS Content Selection Advisory Board since 2009, for my own education and for the public record. In this essay, I have sought to capture and to present a brief technical history of the system between ~2000 and the end of 2025, and in particular to address the early evolution of advanced digital analytics tools, including SCOPUS AI and SCOPUS Insight Graphs. I hope that this document will have future value to developers and users of the system who wish to understand its origins.