Cross-disciplinary paper search
Search more than 214 million papers and narrow results by field, author, journal or conference, publication type, and date range.
A free research discovery tool that helps scholars search, evaluate, and organize scientific literature.
Semantic Scholar is a free, AI-powered tool to discover, evaluate, and organize scientific literature. It helps researchers find papers across scientific fields, assess their relevance through summaries and citation context, and keep up with new work through personalized recommendations and alerts. The service also provides paper and author data through its Academic Graph API and open research datasets.
Search more than 214 million papers and narrow results by field, author, journal or conference, publication type, and date range.
TLDR summaries are available for nearly 60 million papers in computer science, biology, and medicine. Citation tools identify highly influential citations; citation listings can also classify citations as background, methods, or results.
Paper pages surface extracted information such as figures, tables, and topics, alongside citations and references. The site can also list related videos, presentations, code libraries, clinical trials, and media coverage when available.
Save papers in folders, export citations in bulk, and share public folders. Turning on a Research Feed for a folder generates paper recommendations based on the saved papers and relevance feedback.
Set email alerts for new papers or citations associated with selected papers and authors. The dashboard brings together feed recommendations and alert updates for signed-in users.
The REST API provides scholarly data about papers, authors, citations, venues, and related resources, including recommendations and dataset access. Semantic Scholar also publishes research datasets such as S2AG and S2ORC.
Search across disciplines, then narrow papers by field, date, author, or publication venue to build a focused reading list.
Use available TLDRs, paper-page details, and citation context to decide which publications warrant a closer read.
Create a Research Feed for a library folder or set paper and author alerts to monitor recommendations, new papers, and citations.
Organize papers in a public library folder and share it with collaborators, who can copy the folder into their own library.
Use the Academic Graph API or downloadable datasets to retrieve scholarly metadata and support tools for research discovery or analysis.
The research tool is described as free. API access is also available, with most endpoints public and unauthenticated subject to shared rate limits; some endpoints require an API key.
An account sign-in is needed to access the online library. Save papers into folders there, then enable a Research Feed for a folder to receive recommendations, including by email.
The Cite option offers BibTeX, MLA, APA, and Chicago formats. Library folders also support bulk citation export.
No. TLDR summaries cover nearly 60 million papers in computer science, biology, and medicine. Ask This Paper is available on limited papers and has been tested only on English-language papers; topic pages are currently limited to computer science.
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