Elsevier Takes Scopus to the Next Level with Generative AI

New generative AI feature will power Scopus, world's leading abstract and citation database of peer-reviewed literature, so researchers can get deeper insights faster

London, United Kingdom--(Newsfile Corp. - August 1, 2023) - Elsevier, a global leader in scientific information and data analytics, today releases an alpha version of Scopus AI for researcher testing - a next generation tool that combines generative AI with Scopus' trusted content and data to help researchers get deeper insights faster, support collaboration and societal impact of research.

For more than a decade, Elsevier has been using AI and machine learning technologies responsibly in its products combined with its unparalleled peer-reviewed content, extensive data sets, and sophisticated analytics to help researchers, clinicians, students and educators discover, advance and apply trusted knowledge.

Researchers, especially those early in their careers or working across disciplines face significant challenges and complexity in their daily work, including an ever-growing volume of data, prevalent misinformation and increasing workloads. They need to understand and explore a particular topic quickly, recognize links across disciplines and collaborate with others for greater research and societal impact. Large Language Models (LLMs) have captured the world's imagination with their ability to generate content, but they also have shortcomings such as a lack of transparency and hallucinations - inaccuracies or misinterpretations often occurring in AI-based information generation - which can undermine trust in the results delivered.

Scopus AI provides easy-to-read topic summaries based on trusted content from over 27,000 academic journals, from more than 7,000 publishers worldwide, with over 1.8 billion citations, and includes over 17 million author profiles. Content is rigorously vetted and selected by an independent review board, that is made up of 17 world-renowned scientists, researchers and librarians who represent the major scientific disciplines. Researchers can quickly dig deeper and explore these topics in several ways, including suggested follow-up questions and links to the original research. Powered by generative AI and LLM technology in combination with Scopus's existing powerful search capabilities, Scopus AI will help early-career researchers and seasoned academics alike through:

  • Summarized views based on Scopus abstracts: Researchers obtain a concise and trustworthy snapshot of any research topic, complete with academic references, reducing lengthy reading time and the risk of hallucinations.

  • Easy navigation to "Go Deeper Links" for extended exploration: Scopus AI provides relevant queries for further exploration, leading to hidden insights in various research topics.

  • Natural language queries: Researchers can ask questions about a subject in a natural, conversational manner.

  • A soon-to-be-added graphical representation, offering new perspectives of interconnected research themes: Scopus AI visually maps search results, offering a comprehensive overview that allows researchers to navigate complex relationships easily.