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Scopus AI: Trusted content. Powered by responsible AI.

Scopus AI is an intuitive and intelligent search tool powered by generative AI (GenAI) that enhances your understanding and enriches your insights with unprecedented speed and clarity. Built in close collaboration with the academic community, it is a fully realized, subscription-based solution that serves as your trusted guide through the vast expanse of human knowledge found on Scopus, the world's largest multidisciplinary and trusted abstract and citation database.

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Get relevant responses based on recent, trusted knowledge

Source-neutral Scopus is home to 27,800+ peer-reviewed journals and 330,000+ books – all meticulously reviewed and selected by an independent board of experts.

Scopus AI draws exclusively on the metadata and abstracts of documents in Scopus published since 2013, identifying the most relevant content from the 7,000+ publishers featured in the database. The knowledge base is updated daily, ensuring responses are always based on the most recent information.

Scopus AI launch video thumbnail

Save time with reliable and digestible research summarization

Type your query into Scopus AI using everyday language – particularly beneficial for exploring new areas with unfamiliar vocabulary. The tool’s sophisticated technology synthesizes the abstracts of relevant documents and generates an easy-to-digest Topic Summary along with an Expanded summary for additional depth and perspectives. The quality, coherency and contextual richness of these summaries is enhanced by our patent-pending RAG fusion technology. 

Scopus AI always references the sources it has used and provides guidance on its level of confidence in the relevancy of the response.

Screenshot of Scopus AI 'Topic summaries' feature

Build and deepen new knowledge with unique features

Whether you are new to an area or just want to learn more, it can be challenging to know the right questions to ask and how to phrase them. In addition to the summaries, Scopus AI suggests 'Go deeper' questions that help you drill down and broaden your understanding of the field.  

To help you identify influential research on your chosen topic, Scopus AI mines the full Scopus database to create a list of Foundational papers – these are the high-impact papers that have received the highest number of citations by the papers identified for writing the summaries.  

Screenshot of Scopus AI 'Foundational papers' feature

Open new avenues of exploration with Concept maps

Scopus AI uses keywords from research abstracts to generate a Concept map for each query. This helps you get a bird's-eye view of the topic space and a more complete picture of your theme and its relation to other research areas — even those outside your comfort zone.

Watch a short demo of Concept mapsopens in new tab/window

Screenshot of Scopus AI 'Concept map' feature

Support collaboration with options for discovering experts

The Topic experts feature draws on the 19.6+ million author profiles in Scopus to find the top researchers linked to your query and generate a summary of their work and contributions.

And because transparency is one of our key GenAI development principles, we explain why each individual was selected.

Screenshot of Scopus AI 'Topic experts' feature

"The Scopus AI interface is intuitive and easy to use, it allows the researcher to obtain an overview of a problem, as well as identify authors and approaches, in a more agile search session than conventional search.

It is a valuable tool for literature reviews, construction of theoretical frameworks and verification of relationships between variables, among other applications that are actually impossible to delimit."

Read the full preprintopens in new tab/window

Elisenda Aguilera


Elisenda Aguilera

Researcher at Pompeu Fabra University in Spain

The Scopus AI difference

The use of generative AI in research and education comes with key concerns about safety, accuracy and ethicsopens in new tab/window and must be informed by thoughtful guidance such as this 2023 published report from UNESCOopens in new tab/window. Scopus AI is built and maintained to deliver the transparency, safety, accuracy and relevance of insights that higher education and research organizations require.

Developed responsibly

Scopus AI is developed in line with Elsevier's Five Responsible AI Principles. For example:  

  • Robust data privacy: All user inputs are treated in line with our Privacy Policy. We also adhere to European GDPR. 

  • LLM-specific data privacy: OpenAI’s ChatGPT is among the large language models (LLMs) we use. We have an agreement that no user queries will be stored or used to train or improve ChatGPT. 

  • Content and data governance: Scopus content selection is subject to rigorous checks by an independent board of experts. 

Elsevier's Five Responsible AI Principles

Technology with clear scope and instructions

The technology that underpins Scopus AI is maintained for:

  • Transparency: Only trusted Scopus content is used in Scopus AI responses and any claims or assumptions are backed up by references. Scopus AI also indicates how confident it is that its response matches your query. And if it can’t find relevant results, it tells you. 

  • Reliability: Scopus AI features our patent-pending RAG fusion technology, which improves the quality of both the search and responses. The LLM is also guided by strict prompt engineering guardrails. 

Scopus AI Technology Explainer video thumbnail

Developed and tested for academic community use cases

Scopus AI was developed in response to a need identified by 60% of Scopus users: to learn about new topics more effectively. 

Thousands of researchers, librarians and academic leaders worldwide were closely involved in the tool’s design and iterations. For example, community feedback shaped its location in Scopus, as well as development of the Concept map, Foundational papers and Expanded summary features. It also inspired our patent-pending RAG fusion technology. 

Watch how Scopus AI helps you gain insights in secondsopens in new tab/window

Working in partnership with the community to enhance Scopus AI

We continue to engage with the research community daily via a variety of channels; for example, Scopus subscribers are selected at random to test the tool. The development team not only closely tracks this feedback, it also moves quickly in response, often within hours. Since Scopus AI’s launch, this feedback has led to the introduction of: 

  • The ability to see the nodes on the Concept map are related 

  • Guidance on Scopus AI’s confidence in its response 

  • An option to export references to SciVal 

  • A new small language model reranker that significantly enhances the precision of the search results  

Learn more about the newly added featuresopens in new tab/window

Learn how Scopus AI can work for your institution

Speak with an Elsevier representative about your research needs.

Frequently asked questions

On this page, we feature some of the questions most commonly asked by the community.

Scopus AI FAQs

“…with Scopus AI, you can use more informal language when searching, and you get pretty much the same results as you do with the technical terms. I think that’s one of the great benefits of using the tool.”

Read the full interview

Bruno Augusto


Bruno Augusto

PhD student at University of Aveiro, Portugal

Latest news and insights

Find out more about Scopus AI and the technology that drives these recently published articles.

Featured articles and resources

“I’ve been working with Scopus AI for a couple of months, and it’s been great. I’d previously used ChatGPT, but it’s not a tool for scientific literature review. When I heard there was something new based on Scopus — which is the database I trust most when I’m doing a literature review — I started using it a lot.” 

Read the full interview

Dr. Engie El Sawaf


Dr Engie El Sawaf

Pharmacology Lecturer Assistant at Future University, Egypt


Join us in upcoming Scopus AI webinars, or watch the recordings from previous sessions.

On-demand webinar: How curated, enriched & connected data enhance research insights

Explore how Scopus data can be used to inform a generative AI solution to support researchers. Topics include content selection, bias minimization, content integrity, quality and accuracy assurance, and Scopus content used to train AI.

Watch the recordingopens in new tab/window

On-demand webinar: Navigating essential practices in responsible Gen AI

Learn how we addressed ethical implications, quality control, and fairness concerns during the development of Scopus AI.

Watch the recordingopens in new tab/window

On-demand webinar: An in-depth exploration of Scopus AI

Discover how researchers can effectively use Scopus AI throughout the research journey and learn practical ways to leverage our Gen AI-informed results for an accelerated search process. 

Watch the recordingopens in new tab/window

Learn how Scopus and Scopus AI can help your organization achieve its goals.

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