67
Stack Score
Editorial pick✓ Verified working
Connected Papers
Visual graph of papers similar to one you already have
Try Connected Papers✓ Free trial available
Best for
Best for researchers exploring an unfamiliar field who want to find the small cluster of papers that actually matter.
At a glance
- Pricing
- freemiumfrom $6/mo
- Setup time
- instant
- Learning curve
- easy
- Last verified
- 5/21/2026
What we love
- ✓Unique similarity metric beats keyword search
- ✓Beautiful, intuitive visualization
- ✓Great for unfamiliar fields
Where it falls short
- −Free tier limited to 5 graphs per month
- −Static snapshot — no live updates
- −Limited to Semantic Scholar corpus
Pricing
✓ Pricing verified Jun 21, 20262 tiers
Free
$0
monthly
- ✓5 graphs per month
- ✓Prior and derivative views
- ✓BibTeX export
Academic
$6
monthly
- ✓Unlimited graphs
- ✓Priority generation
Why we picked it
A clever take on similarity that catches papers keyword search misses — the co-citation lens is the secret sauce.
Overview
Generates a visual graph clustering papers by co-citation similarity rather than shared references. Useful for finding prior work and derivative papers that share intellectual DNA with a seed paper, including ones that do not cite each other directly.
Key features
- ●Co-citation similarity graphs
- ●Prior works and derivative works views
- ●Builds from any Semantic Scholar paper
- ●Five free graphs per month
- ●Unlimited graphs on paid tier
- ●Cluster visualization
- ●Export to BibTeX
Best use cases
Onboarding to a new field
Find the central cluster of papers in a topic you do not know yet.
Sanity-check a citation list
Spot the seminal works your draft may be missing.
Integrations
Similar tools
See all research tools →One AI Stack pick every week.
The tool we’d pay for this week, why we’d pay for it, and what we’d skip. No promo spam.