Connected Papers is a cutting-edge research tool that employs artificial intelligence to visualize academic paper networks. By processing citation data, it generates dynamic graphs that reveal how scholarly works interconnect within specific fields. Researchers begin by entering a paper identifier (title, DOI, or arXiv ID), after which the system analyzes citation patterns to construct a visual representation of related literature. The interactive graph displays nodes representing papers and edges indicating citation relationships, with visual cues showing connection strength. Users can explore this network by clicking on nodes to view paper details including abstracts, citation counts, and publication dates. Two particularly valuable features include 'Prior Works' which identifies foundational papers in the field, and 'Derivative Works' which surfaces recent developments building upon core concepts. The platform supports comprehensive literature reviews by helping researchers quickly identify seminal works, track idea evolution, and discover relevant new publications. Its intuitive interface requires no technical training, making sophisticated citation analysis accessible to undergraduate students and senior academics alike. Connected Papers covers diverse disciplines from hard sciences to social sciences, with particularly strong coverage in computer science, physics, and biomedical research. The tool saves researchers significant time in the discovery phase while providing insights that might otherwise require weeks of manual citation tracking. Additional functionality includes the ability to save graphs for future reference, export connection data for analysis, and receive alerts when new relevant papers are published. The system continuously updates its database with new publications, ensuring researchers have access to the most current connections in their field. For collaborative projects, users can share visualized networks with colleagues, facilitating group discussions about research directions. Whether used for writing literature reviews, preparing grant applications, or exploring new research areas, Connected Papers enhances academic productivity by transforming complex citation networks into clear, actionable visualizations.