Semantic Scholar
Semantic Scholar
Free AI-powered research tool for scientific literature with paper search, relevance ranking, citation information and an API.
Developer:
Allen Institute for AI
Our Take
Semantic Scholar is a useful starting point for finding academic papers and following connections among related studies. Its AI-assisted search features, paper summaries, citation links, and author pages can help researchers quickly orient themselves in a topic and identify promising sources for closer reading. It is particularly handy during early exploration, when you are trying to map a field or find papers related to a known study.
Search coverage and the depth of available metadata vary by discipline, and automated summaries can omit nuance or misrepresent a paper's findings. Use the summary to decide what to read next, not as a substitute for the paper itself. Verify bibliographic details and important claims in the original publication, and pair Semantic Scholar with specialist databases when completeness and reproducibility are important.

Key Features
AI-assisted scholarly search, Paper and author profiles, Citation and influential-paper signals, Topic and related-paper recommendations

Best For
Free academic paper search and discovery

Research Tasks
Locate relevant research quickly; trace papers connected to a central study; build a reading list for a literature review; verify metadata and assess relevance from the full paper.
Pricing
$0 — free AI-powered scholarly search. API access and downloadable datasets are separate programmatic-access options with their own terms.
