PDFAITools
Connected Papers
Visual AI tool that maps related papers in a graph, helping researchers discover relevant literature in their field.
What is Connected Papers?
What is Connected Papers?
Connected Papers is a visual AI tool that generates interactive graph maps of related academic papers. By entering a single seed paper, users receive a visual network diagram showing papers that are strongly connected by shared citations and references — making it easy to discover key related work in any research field.
How It Works
- Enter a seed paper (title, DOI, or abstract)
- AI builds a graph of papers with similar citation contexts
- Graph nodes show paper age, citation count, and relevance strength
- Explore derivative and prior work branches for comprehensive coverage
- Export paper lists for further review
Who Uses Connected Papers?
Researchers, academics, and graduate students use Connected Papers to rapidly understand the intellectual landscape around a topic. It is particularly useful at the start of a research project to identify seminal works, discover active researchers in the field, and find papers that a standard keyword search would miss due to different terminology.
Key Features
Generate interactive visual maps showing how papers in a field are connected through citations.
Explore branches showing foundational prior work and more recent papers building on your topic.
Node size and positioning reflect citation count and relevance strength for easy prioritization.
Find related papers that use different terminology but share conceptual and citation overlap.
Save graphs and export paper lists to reference managers for further organized review.
Who Uses Connected Papers?
Map the intellectual landscape of a research area to identify key papers and influential authors.
Find important related papers you would otherwise miss with standard keyword search.
Build comprehensive literature foundations for dissertations by tracing citation networks.
Identify gaps and opportunities by visualizing where the literature is dense or sparse.
Pros & Cons
✅ Pros
- Uniquely visual approach makes literature relationships immediately clear
- Discovers relevant papers that keyword search misses
- Prior/derivative work separation aids structured literature review
- Simple, fast, and requires no account for basic use
- Free tier is genuinely useful for most individual researchers
❌ Cons
- Limited to academic papers — does not cover books, reports, or preprints from all sources
- Free plan restricts the number of graphs per month
- Does not provide full paper text or deep AI analysis
- Graph can become overwhelming for very broad research topics
Connected Papers Pricing
Free
- 5 graphs/month
- Full visual graph
- Citation metrics
- Basic export
Premium
- Unlimited graphs
- Full graph features
- Save & organize graphs
- Priority support
Connected Papers earns a 4.5/5 rating from our editorial team. Its generous free tier lets you explore core features before upgrading, making it a low-risk choice for individuals and teams. Standout strengths include uniquely visual approach makes literature relationships immediately clear and discovers relevant papers that keyword search misses.
Get Started with Connected Papers →