Connected PapersConnected Papers revolutionizes academic research by visualizing complex citation networks, making literature exploration remarkably efficient and insightful for scholars.

Connected Papers is an AI-powered academic literature discovery tool that generates a visual graph of papers strongly related to a given seed paper, making obscure connections and foundational research intuitive to find.

Connected Papers suits teams and individuals with the following needs:

• Literature Review Acceleration: Quickly identify key papers and their relationships to build comprehensive literature reviews efficiently.
• Identifying Foundational Research: Trace the origins of a research area by uncovering the seminal works that laid its groundwork.
• Discovering Emerging Trends: Spot recent publications and their connections to understand the latest advancements and future directions in a field.
• Finding Related Work for Grants: Strengthen grant proposals by demonstrating thorough understanding of existing research and identifying potential collaborators or relevant background studies.

Connected Papers works through a set of core capabilities:

• Citation network visualization
• Seed paper analysis
• Related paper discovery
• Author and journal filtering
• Paper similarity metrics
• Personal library management
• Integration with academic databases

Connected Papers offers these pricing plans:

• Free tier has usage caps
• Graph rendering can be slow for very large fields

• ResearchRabbit
• Scite.ai
• Semantic Scholar

1. Go to the Connected Papers website.
2. Enter the title, DOI, or URL of a relevant academic paper.
3. Explore the generated visual graph of related papers and navigate through findings.

SynaBot's AI assistants and prompt library pair naturally with tools like Connected Papers. Use SynaBot to draft the strategy or content, then move the output into Connected Papers for execution — or automate the flow with our AI consultancy service.