Scopus AI is an AI-driven research tool that uses the Scopus peer-reviewed research repository to help users understand and navigate unfamiliar academic content. Scopus AI generates summaries based on Scopus abstracts with references to help decipher complex content, facilitate deeper exploration, and provide academic insights.
Built in close collaboration with the academic community, it provides a unique window into humanity's accumulated knowledge through Scopus, the world's largest multidisciplinary and trusted abstract and citation database.
Save time with a quick summary for topics of interest. Scopus AI gives you a concise and trustworthy summary with academic references for each search.
The expanded Summary feature increases the number of perspectives on a given user query providing a more comprehensive and in-depth response.
See who the experts are in your field. Rapidly identify the leading authors based on your query alongside explanations of their relevant expertise. the feature highlights a researcher’s credentials in a given field based on his/her publication rate, impact, the recency of their contributions, and the position of their name on assigned papers.
1. We consider the real-world impact of our solutions on people.
2. We take action to prevent the creation or reinforcement of unfair bias.
3. We can explain how our solutions work.
4. We create accountability through human oversight.
5. We respect privacy and champion robust data governance.
Emerging themes is a new feature that identifies and categorizes established, rising, and novel themes based on Scopus AI user queries.
It uses a new proprietary algorithm that rapidly scans Scopus documents from the last two years and clusters them by topic. This process effectively pinpoints “white space” that you can target for publications, collaborations, and funding opportunities.
For each identified theme, Emerging themes provides a mini-summary, references, and suggested research hypotheses.
This feature will be valuable to a range of researchers helping them stay ahead of the curve and identify novel research areas.
Early-Career Researchers: Rapid field orientation, inspiration for novel research ideas and efficient literature review process
Seasoned Academics: Staying current with field developments, identifying cross-disciplinary opportunities and efficient grant proposal preparation
Librarians: Enhanced support for researchers, improved resource curation and demonstration of evolving value in the digital age
Gain a deeper understanding of generative AI (GenAI) with Library Connect Academy’s GenAI Literacy Program, a self-paced professional development course for librarians.
In three courses, you will learn:
You can ask questions about a subject in a natural, conversational manner. When you enter your query, you can use natural language and frame it however you’d like.
As this question is being analyzed, it will go through the Scopus AI vector search, which interprets the intent and meaning of the query. Then it will look at the last five years of Scopus abstracts to find the ones that best answer the question. Then the Large Language Model, using very strict prompt engineering, generates a response that is based on trusted Scopus knowledge, with references so you know where everything is sourced from.
With Scopus AI’s Concept Map, you can visualize links between research concepts, discover connections between topics and discover untapped frontiers to explore. The tool visually maps search results, offering a comprehensive overview that allows researchers to navigate complex relationships easily. The visualization takes the keywords of the abstracts and provides a bird’s-eye view of the topic space. It shows how concepts fit together, and allows you to explore new vocabulary associated with a particular subject.
Rapidly pinpoint seminal works, navigating academic progress and impact with precision and ease. Foundational Papers identifies these key papers, effectively the source from which the ideas discussed in the Summary originate, using Scopus’ citation graph technology.
Scopus AI offers relevant queries for further exploration, leading to hidden insights in various research fields.
The “Go deeper” feature considers your initial query and will suggest further queries to encourage focus on a specific aspect of a subject, take a new perspective or zoom out to a wider picture.
The “Keyword graph” feature provides a visual overview of the subject area based on your query and the associated keywords with each of our abstract.
To address the need to handle specific and complex queries, the product team developed new features called Copilot. Copilot uses both keyword and vector search tools, employing more and varied types of search technology to better process specialized queries and provide more specific responses.
Here's how Copilot works:
As a result of this process, Copilot can break down more complex queries into their individual components and optimize each element for either vector or keyword search. This means users can pose more complicated or multifaceted questions, and Copilot will be able to sift through the different aspects to produce the best possible results.
Support of non-English queries
We realize exploring a new topic area can be difficult enough if English is your first language. But if English isn’t your native language, delving into new subjects can be even more challenging. To address this issue, Copilot also includes an intelligent language layer, which can take a query in a non-English language and translate it into English, which is the language many researchers say they prefer to work in.
Copilot improves Scopus AI in other ways, including:
In line with Elsevier’s Responsible AI principles, Copilot provides a unique transparency layer that explains exactly how the tool is breaking down and optimizing your query. This is a unique feature among GenAI solutions currently on the market, and another step towards refining Scopus AI.
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Learn more about Emerging themes – join our webinar on November 12, 2024
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