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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 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.
Scopus is home to 29,200+ peer-reviewed journals from 7,000+ publishers, meticulously reviewed and selected by an independent board of experts.
Scopus AI draws from metadata and abstracts of Scopus documents published since 2013. Advanced prompt engineering and curated recent data minimize risks of false AI-generated information and ensure responses are based on recent, trusted knowledge.
When you type your query into Scopus AI, it synthesizes the abstracts of relevant documents into a clear, digestible and referenced summary within seconds.
Scopus AI always provides the references it used to build your summary— providing transparency so you can trust the integrity of its answers.
Beyond Expanded summaries, Scopus AI suggests 'Go deeper' questions — helping you drill down and broaden your understanding.
To identify influential voices in a field, the Foundational papers option lists the most high-impact Scopus papers on any topic, guiding you to the knowledge that lies at the bedrock of a subject.
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.
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.
“Something that gives me a lot of confidence in this tool is that the results are referenced, and it’s easy to check the references.”
Want to read more about Bruno's experience navigating scientific literature with Scopus AI?
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Bruno Augusto
PhD student at University of Aveiro, Portugal
The use of generative AI in research and education comes with key concerns about safety, accuracy and ethics(opens in new tab/window) and must be informed by thoughtful guidance such as this 2023 published report from UNESCO(opens 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.
For over 10 years, Elsevier has used AI and machine learning responsibly in our products, combining it with unparalleled peer-reviewed content, extensive data sets and sophisticated analytics. Scopus AI is developed in line with Elsevier's Five Responsible AI Principles. It offers:
Clear and verifiable references to document abstracts used in summarizations
Legal and technology protections to ensure zero data exchange or use of Elsevier data to train OpenAI's public model
Adherence to European GDPR that guarantees user privacy and avoids unnecessary data retention
The technology that underpins Scopus AI is maintained for:
Transparency: We require Scopus AI to ground all its claims on the curated Scopus database and provide references for everything
Quality: Scopus AI undergoes intermittent evaluations using our quality framework to ensure that the outputs meet our rigorous standards for quality, relevancy & coherency.
Reliability: The prompts that lie behind Scopus AI help to reduce outputs that are factually inaccurate or unreliable.
Although it's currently impossible to entirely eliminate inaccurate responses, these steps greatly reduce the risk of them appearing, and we continue to work on developments to limit that risk.
The research community has contributed ideas and feedback on Scopus AI since the design stage. Thousands of researchers worldwide participated in rigorous testing, and our engaged user community is continuing to shape Scopus AI’s future.
By constantly listening and iterating based on user feedback, we know we've developed a tool that meets the academic community's needs and specific use cases.
Watch how Scopus AI helps you gain insights in seconds(opens in new tab/window)
Speak with an Elsevier representative about your research needs.
On this page, we feature some of the questions most commonly asked by the community.
Scopus AI is an intuitive and intelligent search tool powered by generative AI (GenAI) that delivers insights with unprecedented speed and clarity. Built in close collaboration with the academic community, it provides a window into humanity's accumulated knowledge by surfacing insights from the metadata and abstracts in Scopus, Elsevier’s source-neutral and curated abstract and citation database.
Scopus AI uses natural language processing. That means you don’t have to worry about matching specific keywords or Boolean operators; instead you can just type in your question, statement or hypothetical using everyday language. Scopus AI then locates relevant documents published since 2013 and synthesizes the content of their abstracts to create an instant, easy-to-follow and (importantly) referenced Summary of the information you are seeking. For deeper insights, unique options such as the Expanded summary, Concept map, Foundational papers menu and Topic experts button enable you to continue exploring and learning.
As we embed GenAI features in Scopus and other products, we do so in line with Elsevier’s Responsible AI Principles and Privacy Principles. (opens in new tab/window)Scopus AI has been developed and tested in close collaboration with the academic community, to ensure it meets key needs and concerns.
For Scopus AI, we are using OpenAI’s large language model (LLM) ChatGPT hosted on Microsoft Azure and have an agreement in place that information passed to this service will not be stored or used for training purposes. Our use of OpenAI’s LLM is private, meaning there is no data exchange or use of our data to train OpenAI’s public model.
Scopus AI minimizes hallucinations by using only high-quality, curated Scopus content identified by our vector search. This grounds Scopus AI when generating responses. Unlike many other natural language processing tools out there, Scopus AI shows its workings with clear references to the journals and documents it uses to generate a response. In addition, Scopus AI adheres to GDPR to guarantee user privacy. We don't store personal user information or chat history on our systems, unless done so in a compliant way that improves the product (like analytics or personalization). We also don’t share it.
You can also rest easy knowing that the journals that Scopus AI draws on are peer-reviewed and have been rigorously vetted and selected for inclusion in Scopus by independent experts on the Scopus Content Selection and Advisory Board.
When Scopus AI generates a response to your query, it draws on the metadata and abstracts of the following content types — with the exception of Conference Review, Erratum and Retracted items — published since 2013:
Article
Book
Book chapter
Review
Short survey
Data paper
We chose 2013 as the start year to ensure that the response you receive is based on recent content. For the list of Foundational papers provided by the tool, Scopus AI mines the entire Scopus corpus to provide you with a comprehensive list of influential articles on your chosen topic.
A note about generative AI
While Scopus AI strives to ground its summaries and generative AI features in trusted Scopus content, there may be occasional discrepancies. It is possible for Scopus AI to generate results that could be seen as incorrect, misleading, biased, or even offensive. Scopus AI is not meant to provide legal, financial, or medical advice. Users should not solely rely on Scopus AI outputs without conducting independent research. If you want to utilize Scopus AI generated content in your work, please consult your institutional or workplace guidelines. Do not enter personal, confidential, or sensitive information into Scopus AI.
"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."
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Elisenda Aguilera
Researcher at Pompeu Fabra University in Spain
Find out more about Scopus AI and the technology that drives these recently published articles.
Article: Breaking academic barriers: language models and the future of search(opens in new tab/window), by Adrian Raudaschl, Times Higher Education, October 2023
Article: Guidance for generative AI in education and research(opens in new tab/window), UNESCO, September 2023
Report: Apprehension of Generative AI in Higher Education Overstated(opens in new tab/window), Cengage Survey Finds, Cengage Group, August 2023
"...the true value of LLMs lies not in their ability to find information but rather in their capacity to reframe it in a way that helps us comprehend its significance."
AR
Adrian Raudaschl
Elsevier Senior Product Manager
Join us in the upcoming webinars in our Scopus AI series, or watch the recordings from previous sessions.
Join us for a webinar discussion about how we applied Elsevier’s Responsible AI Principles to the development of Scopus AI, ensuring our solutions develop in line with our values.
Session 1: Tuesday, February 27, 2024, 9:00 a.m. London (GMT +0:00) Sign up here(opens in new tab/window)
Session 2: Tuesday, February 27, 2024, 4:00 p.m. London (GMT +0:00) Sign up here(opens in new tab/window)
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.
