Skip to content
S

Semantic Scholar

Learn more → We couldn't find a website for this product

Description

AI-powered academic search engine developed by Allen Institute for AI with over 200 million papers indexed

Market positioning

Major free academic search engine with broad coverage

Target audience

Academic researchers, PhD students, literature review authors across all disciplines

Use cases

Academic literature search, research discovery, citation analysis, and paper recommendations for scholarly research

Company information

Company size

Medium (100-500 employees)

Revenue

$10-50M (estimated)

Scale

Global

Number of users

Millions of researchers globally

Features

Access to 200+ million research papers, AI-powered search capabilities, Author profiles, Citation and influence analysis, Email alerts for new papers, Influence metrics beyond citation counts, Paper recommendations, Research feeds

Pricing

Pricing modelFree
Starting priceFree
Billing periodN/A - Free service

Pros and cons

Based on: (AI summary)

Pros

  • Massive database (200M+ papers)
  • Continuously updated
  • Completely free
  • AI-powered search
  • Comprehensive author tracking

Cons

  • Less developed visualization features
  • Not specialized for literature review workflows

Feature Comparison

Top features across 11 competitors (most common first)

Feature Anara (form…LitmapsResearchRab…Semantic Sc…Connected P…IncitefulConsensusElicitPhD Literat…SciSpaceScite
Citation-based paper discovery
AI-powered semantic search
Visual graph representation of paper connections
Abstract analysis using AI models
Plain text query capability
Automated citation and study tools
Built-in collaboration with shared workspaces
Multimedia research support (PDFs
videos
web pages
notes)
Multi-source research from PubMed
arXiv
JSTOR
Persistent research memory
Source control flexibility
Source verification with exact passage linking
Systematic workflow automation
Access to 270+ million papers
Automated alerts for new publications