Semantic Scholar
Verified
AI-powered research tool by Allen AI — discover relevant papers with intelligent recommendations.
About Semantic Scholar
Semantic Scholar by the Allen Institute for AI uses machine learning to help researchers find relevant academic papers. It extracts key information, identifies influential citations, and provides AI-generated summaries (TLDR) for 200M+ papers across all scientific fields.
Key Features
- 200M+ academic papers indexed
- AI-generated paper summaries (TLDR)
- Citation influence analysis
- Research feed recommendations
- Free open API for developers
Pros & Cons
Pros
+ Completely free with no limits
+ Excellent citation analysis
+ AI summaries save reading time
Cons
- Less comprehensive than Google Scholar
- TLDR summaries can oversimplify
- Recommendation algorithm needs tuning
Use Cases
Finding relevant research papersUnderstanding citation networksTracking research fieldsLiterature discovery
Pricing
Free
Completely free. Open API available.
Who It's For
Academic researchersPhD studentsResearch librariansScience communicators
Details