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Description
Connected Papers is a visual tool designed to assist researchers and applied scientists in discovering academic papers relevant to their field of work. It allows users to enter a paper and generates a graph of similar papers in that field, providing a visual overview of the trends, popular works, and dynamics. It is particularly useful in fields like Machine Learning, where numerous papers are published regularly. Users can also use Connected Papers to create bibliographies for their theses by starting with references they already have and finding additional relevant papers. The tool supports various scientific fields and utilizes the Semantic Scholar database, which contains a vast number of papers from all scientific disciplines. Connected Papers offers unique views, such as Prior Works and Derivative Works, to help users find important ancestor works and literature reviews in their field of interest. Overall, this tool allows researchers to explore and navigate academic papers in a visual and intuitive way, facilitating their research process.
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