Connected Papers is a visual tool designed to assist researchers in finding and exploring academic papers relevant to their field. Connected Papers provides a graph-based representation of scholarly articles, allowing users to visualize connections between papers.
Graph-Based Exploration: Connected Papers visually represent paper connections, making identifying influential works and trends easier.
Efficient Tracking: In fields with a high volume of new publications, Connected Papers helps researchers stay up-to-date.
Bibliography Assistance: Researchers can efficiently compile their bibliography by leveraging the tool’s recommendations.
Comprehensive Database: Connected Papers from the Semantic Scholar database cover various scientific fields.
Teaching Research Skills: Instructors can introduce Connected Papers to students as a way to explore academic literature visually and teach students how to navigate scholarly databases effectively.
Thesis and Dissertation Work: Graduate students can use Connected Papers to build comprehensive bibliographies for their theses or dissertations.
Understanding Field Dynamics: Students and faculty members can gain insights into the evolution of research trends by exploring graphs of related papers.
Graph Size: The tool constructs graphs based on a subset of papers, which may not cover the entire literature. Researchers should supplement their exploration with other resources.
Semantic Similarity: Connected Papers relies on semantic connections between papers. Occasionally, it may miss relevant works due to limitations in semantic analysis.
Dependency on Database: The quality of results depends on the underlying Semantic Scholar database. Some fields may have limited coverage.