Semantic Scholar is a free AI-powered academic search engine from the Allen Institute for AI, indexing over 200 million research papers. Its AI features include automatic paper summaries, citation context and a TLDR for every paper — making it faster to assess relevance than Google Scholar.
Best for
Researchers and students who need fast, AI-assisted academic paper discovery.
Pros
- Completely free with no subscription, covering 200+ million research papers
- TLDR summaries for every paper make it genuinely faster to assess relevance than reading full abstracts
- Built by the nonprofit Allen Institute for AI, a credible, research-focused source
Cons
- Less suited to visualizing citation networks the way Connected Papers does
- AI summaries are a starting point, not a substitute for reading key papers in full
Tags
researchacademicpapersfreesearchcitations
Frequently asked questions
Is Semantic Scholar better than Google Scholar?
For fast relevance assessment thanks to AI-generated TLDRs and citation context, many researchers find it faster to use than Google Scholar, though Google Scholar's index remains broader in some areas.