Connected Papers is a visual tool designed to help researchers and applied scientists discover academic papers relevant to their field. It allows users to get a visual overview of a research field, identify the most popular papers, explore the dynamics between different areas of study, and ensure they haven't missed key papers. The tool supports bi-directional exploration, enabling users to discover both prior and derivative works related to their area of interest. It leverages the Semantic Scholar database, containing hundreds of millions of papers from all fields of science.
Visual tool for researchers to find and explore relevant academic papers.
- Getting a visual overview of a new academic field
- Ensuring no key papers are missed in a field with a large volume of new publications
- Creating a bibliography for a thesis
- Discovering relevant prior and derivative works
- Users can enter a typical paper into Connected Papers
- and the tool will generate a visual graph of similar papers. By exploring and building more graphs for interesting papers
- users can gain a visual understanding of trends
- popular works
- and dynamics within their field. The tool also allows users to find prior and derivative works related to their input paper.
Transforms research papers into visual knowledge for better understanding and collaboration.
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