Connected Papers is a visual tool designed to help researchers and applied scientists find and explore academic papers relevant to their field. By analysing thousands of papers, it creates graphs that show the similarity and connections between them. This allows users to get a visual overview of a new academic field, discover important prior and derivative works, and build comprehensive bibliographies.
Connected Papers integrates with arXiv, Semantic Scholar, and PubMed to help users explore academic papers visually. Here’s how it works with each:
- arXiv: You can enter an arXiv paper identifier or URL to generate a graph of related papers. This helps you see connections and find relevant research in fields like physics, mathematics, and computer science.
- Semantic Scholar: By using Semantic Scholar’s extensive database, Connected Papers can create visual maps of papers across various scientific disciplines. You can input a Semantic Scholar paper URL or title to explore related works.
- PubMed: For biomedical and life sciences research, you can use PubMed paper URLs to build graphs. This is particularly useful for finding related studies and understanding the landscape of medical research.
Artificial intelligence features
- Visual Graph Generation: Creates interactive networks showing relationships between academic papers.
- Prior Works Analysis: Identifies foundational and seminal works in your research field.
- Multi-Origin Graphs: Allows comparison of multiple papers to find intersecting research areas.
- Trend and Dynamics Visualisation: Provides a visual overview of trends, popular works, and the dynamics of a specific academic field.
- Bibliography Creation: Helps build comprehensive bibliographies by filling in gaps with relevant papers.
- Discovery of Related Works: Facilitates finding important prior and derivative works.
Connected Papers