Semantic Scholar is a free AI-powered research discovery tool from Ai2. It helps researchers search scientific literature, follow citations, discover related papers, explore topics, and use AI-assisted features to understand selected papers faster.
How to use Semantic Scholar well
- Start with a focused research question or a few precise keywords, then narrow results by year, field, author, venue, or other available filters.
- Open promising papers and inspect citations, references, related papers, influential citations, author pages, and topic links rather than relying only on the first search result.
AI-assisted research features
Semantic Scholar uses in-house AI models to process and classify papers. Its product includes AI-supported topic exploration and, on selected English-language papers, Ask This Paper can answer questions with supporting statements from the paper.
API and open research data
Developers can use Semantic Scholar's public REST APIs for papers, authors, citations, recommendations, and datasets. Many endpoints work without authentication but are rate-limited. See the API overview for current services and limits.
What to keep in mind
Semantic Scholar is a discovery and research-navigation tool, not a replacement for reading the underlying paper. Verify claims in the original publication, especially when using summaries, AI-generated answers, citation counts, or automatically inferred metadata.
