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Semantic Scholar logo
Semantic Scholar
✓ verifiedFree

Free AI-powered academic search engine indexing 236M+ papers, for researchers wanting semantic literature discovery and an augmented reader.

7.9M visits/mo13K saves
Elicit logo
Elicit
✓ verifiedFreemium

Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.

2.1M visits/mo
71K visits/mo
Connected Papers logo
Connected Papers
✓ verifiedFreemium

Widely used visual tool for exploring related academic papers.

873K visits/mo
Pricing

No public pricing

Basic: Free
Plus: $10 per month, billed annually
Pro: $42 per month, billed annually
Team: $65 per user, per month billed annually
Enterprise: Custom

No public pricing

Free: USD 0
Academic: USD 3 /month*
Business: USD 10 /month*
Academic Group: 3 USD / seat / month*
Business Group: 10 USD / seat / month*
Academic Library: Request a Quote
Core features
  • AI-powered semantic search across 236M+ papers
  • Semantic Reader for augmented, contextual paper reading
  • Free public API for paper search and metadata
  • Author and topic discovery
  • Citation graph exploration
  • Beta program for new features
  • AI-enabled systematic reviews
  • Research reports
  • Upload your own PDFs
  • Quick summaries
  • Source quotes
  • Question answering
  • Research on AI governance
  • Analysis of AI risks and opportunities
  • Annual reports and updates
  • Information on AI regulation
  • Event summaries and announcements
  • Visual graph generation of related academic papers
  • Discovery of prior and derivative works
  • Identification of important and relevant papers
  • Exploration of research field dynamics
Use cases
  • Researchers searching scientific literature across disciplines
  • Developers building applications on top of scholarly data via the API
  • Students exploring citation networks for a topic
  • Librarians and academics needing free literature discovery tools
  • Speeding up literature reviews
  • Automating systematic reviews and meta-analyses
  • Learning about new domains
  • Data extraction in rigorous systematic literature reviews
  • Understanding public attitudes towards AI
  • Analyzing the impact of AI on great powers
  • Regulating downstream AI developers
  • Managing risks from AI-enabled biological tools
  • Getting a visual overview of a new academic field
  • Ensuring no key papers are missed in a field with a large volume of new publications
  • Creating a bibliography for a thesis
  • Discovering relevant prior and derivative works
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