Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic search across 240M+ papers
Search 241 million-plus publications from every scientific field using natural-language queries that match meaning rather than exact keywords.
AI-generated TLDR summaries
Each indexed paper gets a one-sentence machine-generated TLDR so you can triage results before committing to reading the full text.
Semantic Reader
An augmented PDF reader that highlights citations, definitions, equations and figures inline, and shows which later papers cited the passage you are reading.
Citation context and influence signals
See how a paper was cited, whether citations were influential, and which references shaped the work — useful for literature reviews and citation chasing.
強み・メリット
+Free to use with no paywall, subscription or credit limits
+Very broad coverage spanning 240M+ papers in all scientific fields
特化型Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
特化型Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
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