Connected Papers vs Kagi Small Web
Compare research AI Tools
Connected Papers
Visual literature maps that reveal related work around a seed paper, helping researchers explore fields, spot clusters, and find influential prior art quickly.
Feature Tags Comparison
Only in Connected Papers
Shared
Only in Kagi Small Web
Key Features
Connected Papers
- • Graph of related papers via co-citation analysis
- • Cluster views to identify schools of thought and methods
- • Filters for date influence and distance from seed
- • Snapshots and exports for sharing reading lists
- • Links out to publisher pages and repositories
- • Free tier plus Academic and Business plans
Kagi Small Web
- • Curated index of personal sites and indie blogs
- • Topic lenses that emphasize quality over clickbait
- • Fast clean previews with direct source links
- • Integrates conceptually with Kagi Search lenses
- • No ads or tracking and respectful privacy stance
- • Updated continuously with new voices
Use Cases
Connected Papers
- → Map a field around a seminal work in minutes
- → Assemble a syllabus or lab reading plan by cluster
- → Validate novelty and check for near-duplicate ideas
- → Find bridges between subfields for new directions
- → Identify review papers to onboard collaborators
- → Export candidates to your reference manager
Kagi Small Web
- → Find independent experts and niche blogs for learning
- → Build reading lists for research without ad clutter
- → Discover maker posts side projects and dev notes
- → Escape SEO spam and farm content during searches
- → Source quotable articles for newsletters and briefs
- → Use as a complement to Kagi lenses while researching
Perfect For
Connected Papers
graduate students PIs applied scientists startup R&D and analysts who need fast field maps and curated reading paths
Kagi Small Web
researchers journalists developers students and curious readers who value independent sources and low noise discovery
Capabilities
Connected Papers
Kagi Small Web
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