Semantic Scholar
FreeAI-powered academic search engine developed by the Allen Institute for AI to extract key findings and citation influences.
About Semantic Scholar
Semantic Scholar is a free, AI-backed academic search and discovery engine developed by the non-profit Allen Institute for AI (AI2). Designed to help researchers cut through the overwhelming volume of scientific publications, Semantic Scholar indexes over 200 million academic papers across computer science, biomedicine, neuroscience, and physical sciences.
The platform leverages proprietary machine learning and natural language processing models to extract structured insights from full-text PDFs. Semantic Scholar identifies 'Highly Influential Citations' (citations where the citing paper builds significantly upon the cited methodology), extracts automatic TLDR summaries (one-sentence takeaways of papers), and maps citation contexts directly in search results.
Semantic Scholar is 100% free and open to the global research community, providing public research APIs that power numerous third-party academic discovery tools like Connected Papers and Elicit. It also features Semantic Reader, an interactive PDF viewer with inline citation previews and mathematical formula explanations.
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