Semantic Scholar
Academic semantic search to discover, understand, and track key papers
AI SummaryResearch ToolsCitation AnalysisAcademic SearchPaper Retrieval
- Pricing:
- Free
Overview
Semantic Scholar is a free academic search engine launched by the Allen Institute for Artificial Intelligence, dedicated to helping researchers quickly find valuable information among millions of scholarly papers. The platform covers a wide range of disciplines including computer science, biomedicine, neuroscience, and economics, providing metadata and full-text indexing for over 200 million academic papers.
Unlike traditional keyword search, Semantic Scholar uses natural language processing and machine learning to understand the semantics of papers and support precise concept-based matching. Its core features include automatically generated TLDR paper summaries, a structured citation graph, scholar profiles, and impact metrics, enabling users to quickly grasp the full research landscape and its evolution.
In addition, the platform also offers an open academic data API, personalized paper recommendations, literature alerts, and batch export capabilities, seamlessly integrating into literature review, topic research, and scientific writing workflows. It is a widely used AI-powered literature research infrastructure in academia.
Core capabilities
- Intelligent search
- Uses semantic understanding to match papers, not just keywords.
- TLDR summaries
- Automatically extract key points from papers to quickly assess relevance.
- Citation graph
- Visualizes paper citation relationships to track research evolution.
- Scholar profiles
- Aggregate publication and citation data to showcase academic influence.
- Personalized recommendations
- Suggests the latest research in your field based on reading history.
- Fine-grained filtering
- Filter results by year, field, conference, or journal.
- Batch export
- Supports citation formats like BibTeX for easy import into reference managers.
- Open API
- Provides free scholarly data interfaces for research and secondary development.
Use cases
- Search for core literature and the latest advances in your field before writing a paper
- Quickly understand the research background and key conclusions of an unfamiliar paper
- Track a scholar's recent publications and citation activity
- Map the citation network and evolution of papers in a research direction
- Find high-impact papers published in conferences or journals
- Collect citable authoritative academic sources for a literature review
- Use the API to batch-retrieve paper metadata for scientometric analysis
- Get the most-cited classic papers in a field as introductory reading
Who it's for
Research scientists, Graduate students, University faculty, Academic editors, Technology professionals, Medical researchers, Academic librarians, Academic writers
Getting started
- 1Visit the website — Open the Semantic Scholar homepage and enter your research topic or keywords.
- 2Filter results — Use the left sidebar filters to narrow down by year, field, conference, or other criteria.
- 3Read summaries — Click a paper card to view its TLDR summary, key metrics, and related papers.
- 4Track citations — Explore the citation graph to understand research lineage and subsequent developments.
- 5Create alerts — Set up keyword or scholar tracking to receive timely notifications of new papers.
- 6Export citations — Select papers and copy citation info in formats like BibTeX.