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Academic ResearchAI-Powered SearchScientific Literature Search

Semantic Scholar

Accelerate scientific research with AI-powered paper discovery

Monthly Visits: 3.1M
Free
Free Version
API Available
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Semantic Scholar

What is Semantic Scholar?

Semantic Scholar helps researchers quickly find relevant scientific papers using AI. It analyzes millions of documents to surface key connections and insights. The tool saves time by cutting through information overload in academic literature. Features like augmented reading and citation maps enhance research workflows.

Key Features of Semantic Scholar

  1. 1

    AI-Powered Search

    Find relevant papers faster with smart semantic analysis

  2. 2

    Semantic Reader

    Beta feature offering enhanced paper comprehension tools

  3. 3

    Research API

    Build custom tools with scholarly data integration

  4. 4

    Global Database

    Access 224M+ papers across all scientific fields

Semantic Scholar AI Tool Use Cases

  • 🔍
    Research scientific papers
  • 🤖
    Build research apps (API)
  • 📖
    Enhanced paper reading (Beta)

FAQs from Semantic Scholar

Is Semantic Scholar completely free?

Yes, it's a free AI-powered research tool with full access to its database

What makes Semantic Reader different?

It's an augmented reader providing richer context for selected papers (currently in beta)

Pros & Cons of Semantic Scholar

Pros (4)

  • Free access to massive academic database
  • Cutting-edge AI analysis capabilities
  • Developer-friendly API integration
  • Innovative reading enhancements in beta

Cons (1)

  • Beta features have limited availability

More Info About Semantic Scholar

Who is using semantic scholar?

This tool is best for:

  1. Academic researchers
  2. University students
  3. Research developers
  4. Science professionals

Semantic Scholar's Tags

Explore more niche AI tool websites by clicking on a tag* (works only if it has enough tools).

#AIJobSearch #AcademicAI #SemanticScholar#SciencePapers

Website Analytics of Semantic Scholar

Semantic Scholar Website Traffic & SEO Analysis:

Recent data shows that Semantic Scholar has 3.1M monthly visits (-6.8% decrease from the previous month), 50.0% bounce rate, and average 2.93 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 15% of total traffic. SEO performance is shown by 5 tracked keywords, with "semantic scholar" being the top-performing keyword with 93.6K monthly searches. See below for more info.

Monthly Visits

3.1M

(-6.8%)

Pages per Visit

2.93

Bounce Rate

50.0%

Average Time on Site

2m 16s

Traffic Trend(May 2025 - Jul 2025)

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Top Keywords

SEO KeywordVolumeCPC
semantic scholar
93.6K$0.56
scholar
1.3M$0.71
semanticscholar
4.8K$0.50
semantic scholar api
4.3K$3.76
semantic
58.2K$0.69

Traffic Sources Distribution

Traffic Share by Source

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Source Breakdown Details

SourceTraffic Share
Direct
26%
Search
65%
Referrals
9%

Global Traffic Distribution

Traffic Share by Country

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Geographic Breakdown Details of top 5 countries

Country NameTraffic Share
United States15%
Indonesia11%
China7%
India6%
Germany5%
Analytics data is estimated (from third-party analytics providers) and for reference only.

🚀 Semantic Scholar Launch Badge

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How to use: Simply copy and paste the embed code into your homepage or footer HTML to display it instantly and build community support.

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