Connected Papers is an innovative, visual tool designed to assist researchers and applied scientists in discovering and exploring academic papers relevant to their fields. By generating interactive graphs that illustrate the relationships between research papers, it simplifies the literature review process and aids in identifying pertinent studies.
Connected Papers Key Features
- Connected Papers creates a visual graph based on a “seed” paper, displaying related works through nodes and edges that represent their connections.
- The platform utilizes co-citation and bibliographic coupling to determine the similarity between papers, ensuring that even those not directly citing each other but sharing related references are closely positioned in the graph.
- Users can interact with the graph by hovering over nodes to view paper details, such as titles, authors, abstracts, and publication years, facilitating an in-depth understanding of the research landscape.
- The tool highlights foundational studies (prior works) and subsequent research that builds upon them (derivative works), providing insights into the development and progression of specific research topics.
- Users can adjust the graph’s focus by filtering papers based on publication dates, relevance, or citation counts, tailoring the visualization to their specific research needs.
Use Cases
- By visualizing the connections between papers, Connected Papers enables researchers to quickly identify relevant studies, reducing the time spent on manual searches.
- The interactive graphs help users grasp the structure of research topics, revealing how studies interrelate and evolve, which is crucial for thorough literature reviews.
- By exploring the visual representation of related works, researchers can spot underexplored areas, guiding future research directions.
