Integration of AI tools into your research

Connected Papers is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work. 

Searching Features: 

• Get a visual overview of a new academic field
• Create the bibliography for your thesis
• Discover the most relevant prior and derivative works

Connected Papers works by analyzing thousands of research papers to identify those most relevant to a given origin paper, based on conceptual similarity rather than direct citation links. Here’s how it works:

• Similarity-based Organization: Papers are arranged by their conceptual similarity, so even those without direct citations can appear close to each other if they cover related ideas. This allows for a more flexible network compared to a traditional citation tree.

• Key Metrics for Connection: Using co-citation and bibliographic coupling, Connected Papers identifies papers with overlapping citations and references, suggesting they likely address related topics.

• Force Directed Graph: The tool generates a graph that clusters similar papers together while pushing less similar ones farther apart, creating a clear visual structure.

• Interactive Exploration: Users can select nodes within the graph to see the shortest similarity path to the origin paper, making it easy to explore relevant connections.

Powered by the extensive Semantic Scholar Paper Corpus, Connected Papers provides access to research across diverse scientific fields in an intuitive, visual format.