Elsevier, a global leader in scientific information and data analytics, has announced the release of an alpha version of Scopus AI, a cutting-edge tool that combines generative AI with trusted content and data from Scopus to assist researchers in gaining deeper insights, supporting collaboration, and promoting the societal impact of their research.

Scopus AI provides user-friendly topic summaries sourced from over 27,000 academic journals, representing more than 7,000 publishers worldwide, and including over 1.8 billion citations and 17 million author profiles. The content undergoes rigorous vetting by a review board comprising 17 distinguished scientists, researchers, and librarians from various scientific fields.

Researchers can explore these summaries further through suggested follow-up questions and links to the original research. Powered by generative AI and LLM technology, along with Scopus’ existing search capabilities, Scopus AI aims to assist both early-career and experienced researchers by offering the following features:

  1. Summarized Views: Researchers can access concise and trustworthy snapshots of any research topic, complete with academic references, reducing reading time and minimizing the risk of overlooking critical information.
  2. Easy Navigation: Scopus AI offers «Go Deeper Links» for extended exploration, guiding researchers towards hidden insights in diverse research topics.
  3. Natural Language Queries: Researchers can inquire about subjects in a natural, conversational manner, making the search process more intuitive and efficient.
  4. Graphical Representation: A graphical representation of interconnected research themes will soon be added, allowing researchers to gain a comprehensive overview and navigate complex relationships with ease.

Elsevier is committed to customer-driven innovation, and the company plans to closely collaborate with the research community to test and refine this new technology. The alpha version of Scopus AI is currently being tested worldwide with approximately 15,000 researchers, and a full product launch is anticipated in early 2024.

Article written by  Megan Craig, M.Sc.



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