Connected Papers helps researchers discover and explore academic papers by generating visual graphs that display relationships between publications. By analyzing citation patterns and co-citation data, it presents a network of related works, facilitating efficient literature reviews and identification of seminal papers.
Features
- Visual graphs illustrating connections between academic papers
- Analysis based on co-citation and bibliographic coupling
- Identification of prior and derivative works
- Interactive interface for exploring related research
- Integration with Semantic Scholar’s paper corpus
- Option to export bibliographic data for reference management
- Support for multi-origin graphs to compare multiple papers
- Regular updates with new features and improvements
Use Cases
- Conducting comprehensive literature reviews
- Identifying influential papers in a specific research area
- Exploring emerging trends and connections in academic fields
- Discovering relevant research outside of direct citation chains
- Enhancing understanding of the structure of academic literature
Summary
Connected Papers stands out by providing an intuitive visual representation of academic literature, enabling researchers to uncover relationships between papers that traditional citation trees might miss. Its integration with extensive databases and focus on user-friendly exploration make it a valuable tool for academic research.
