What is Semantic Scholar?
Semantic Scholar is an AI-powered research tool developed by the Allen Institute for AI. It helps researchers discover relevant scientific literature using natural language processing to understand research papers and their relationships.
Founded
2015
Company
Allen Institute for AI
Category
Research & Analysis
Last Updated
12/1/2024
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Semantic Scholar Pricing & Plans
Pricing Overview
Semantic Scholar Pros and Cons
✅ Pros
- Completely free to use
- Large database coverage
- AI-powered recommendations
- High-quality metadata
- Strong API access
- Cross-disciplinary coverage
❌ Cons
- Interface can be basic
- Limited advanced search features
- No collaboration tools
- Primarily focused on computer science and medicine
- Limited export options
Best Use Cases for Semantic Scholar
Is Semantic Scholar Right for You?
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Technical Specifications
API Available
Yes
Platform Support
Web, API
Languages
English
Integrations
API access, Third-party research tools, Reference managers +1 more
Semantic Scholar Alternatives & Competitors
Looking for alternatives to Semantic Scholar? Here are some top competitors in the research & analysis space:
Frequently Asked Questions
Is Semantic Scholar free to use?
Yes, Semantic Scholar offers a free plan with basic features.
What are the main features of Semantic Scholar?
The key features include AI-powered paper recommendations, 200M+ academic papers, Citation analysis, and many more advanced capabilities.
Who should use Semantic Scholar?
Semantic Scholar is ideal for Literature discovery and Academic research, among other applications.
Does Semantic Scholar have an API?
Yes, Semantic Scholar provides an API for developers.
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