Semantic Scholar

What Semantic Scholar is

Semantic Scholar is an academic search engine built by the Allen Institute for AI. It applies semantic analysis across a very large corpus of papers, offering search, automatically generated short summaries, citation relationships and influence data to help researchers find and triage literature.

What you can do with it

• Search papers semantically rather than by exact phrase
• Read short summaries before opening a paper
• Explore who cites whom
• Survey a field efficiently
• Build a reading list

Who it is for

• Researchers and students
• Anyone writing a literature review
• Teams tracking a research area

What to watch out for

• Automatically generated summaries can misstate findings; read the paper before citing it
• Author disambiguation and citation matching are imperfect
• Coverage varies by discipline, language and publication venue
• Influence metrics are proxies, not judgements of quality or correctness