Visual tool for exploring academic paper citation networks to discover related research.
Connected Papers is a unique visual research tool that builds interactive citation network graphs from a single seed paper, enabling researchers to visually navigate the academic landscape surrounding any topic. By mapping co-citation and bibliographic coupling relationships, it surfaces highly relevant papers that may not appear in keyword searches, including foundational prior works and emerging parallel research threads. Scientists, graduate students, and researchers use Connected Papers to rapidly orient themselves in unfamiliar fields, identify the most influential papers in a domain, and discover research they would otherwise miss.
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AI-powered academic search engine from the Allen Institute with semantic understanding of scientific literature.
Free AI-powered academic search engine indexing 200M+ papers with semantic understanding of scientific content.