Scopus AI is a research discovery assistant from Elsevier that combines generative AI with the curated, peer-reviewed content in the Scopus database. You type a question in the words, format and language you prefer, and it returns a topic summary and an expanded summary with the sources listed and an indication of relevance confidence. When evidence is thin, it says so and suggests other queries instead of guessing. Further features include interactive concept maps, emerging themes, a foundational documents list and a Deep Research mode that plans searches and produces a downloadable report.
It is built for academic workflows. Early-career researchers and students can use the summaries to get oriented in an unfamiliar field. Established scholars can use emerging themes to find white space for publications, collaborations and funding. Librarians and research offices at universities and institutions can adopt it for their communities, and research managers can use it to inform strategic decisions. Access is arranged by contacting Elsevier, so it fits organizations buying for many users rather than individual shoppers. The conversational history lets researchers resume earlier topics where they left off.
A PhD student starting a literature review can ask a question, read the topic summary and open the foundational documents to find the high-impact papers cited by the sources. A principal investigator preparing a grant can run emerging themes to see established, rising and novel themes, each with a mini-summary, references and suggested research hypotheses. A department can explore a concept map to see how a topic connects to neighboring disciplines. A research team facing a complex question can launch Deep Research, review its step-by-step plan on screen and download the synthesized report.
