Connected Papers is an AI-powered tool that visualizes academic paper relationships to enhance research discovery.

Connected Papers is a cutting-edge AI-driven platform that revolutionizes academic research by mapping the relationships between scholarly papers. It helps users visualize citation networks, making it easier to navigate complex academic landscapes. The tool is particularly useful for literature reviews, offering a comprehensive view of related works. Users can start by entering a paper's title, DOI, or arXiv ID, and the system generates an interactive graph displaying connected papers. The graph highlights the strength of relationships through citation metrics, allowing users to explore abstracts and access full texts when available. Two standout features are 'Prior Works,' which identifies foundational papers in the field, and 'Derivative Works,' which showcases newer research influenced by the input paper. These tools help researchers understand the historical context and latest advancements in their area of study. Connected Papers is designed for ease of use, requiring no technical background, and supports disciplines like computer science, physics, biology, and social sciences. By streamlining academic discovery, it saves time and provides deeper insights into the interconnected nature of research, making it indispensable for students, academics, and professionals alike.