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Litmaps

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Description

A citation-based literature review tool that visualizes papers as graphs connecting papers that cite each other, with axes corresponding to publication date and citation count to help identify relevant papers

Market positioning

Premium citation-based literature review tool with comprehensive functionality

Target audience

PhD students, researchers, and academics conducting literature reviews

Use cases

Academic literature discovery, citation analysis, research mapping, and collaborative literature reviews for scholarly research

Company information

Company size

Small (10-50 employees)

Revenue

$1-10M annually

Scale

Global academic research market

Number of users

10,000+ active researchers

Features

Citation-based paper discovery, Visual graph representation of paper connections, Access to 270+ million papers, Dynamic 2D visualization (recency vs citation count), Automated alerts for new publications, Collaboration features, Customizable visualization layouts, Visual timeline tracking, Zotero integration, Organization and sharing capabilities, Special algorithms for paper discovery

Pricing

Pricing modelfreemium
Starting priceFree tier available, Premium plans starting at $8/month
Billing periodMonthly/Annual subscription tiers

Rating

4.2/5

No Trustpilot link available

Pros and cons

Based on: (AI summary)

Pros

  • Robust visual mapping features
  • One of the best designed and thought-out tools available
  • Significantly more functionality than competitors
  • Detailed customizations via special algorithms
  • Better organization and sharing capabilities

Cons

  • More complex interface compared to simpler alternatives
  • Some co-cited papers may be irrelevant to the topic
  • Restrictive free plan
  • Steeper learning curve
  • Limited maps per month on free tier

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