Connected Papers

• Input a seed paper (by title, DOI, arXiv ID or URL) and generate an interactive graph of related research.
• Graph nodes representing research papers sized by citation count and coloured by publication date.
• Automatic similarity‑based connectivity (bibliographic coupling & co‑citation) to reveal related works that may not cite each other directly.
• Prior works view: find the foundational papers most referenced by the graph.
• Derivative works view: find follow‑on research citing many of the graph papers.
• List view to sort, filter and browse papers by metrics, year or similarity.
• Export options: download graph visualisations or lists for reports or reference management.
• Clean web interface, no installation required, accessible via browser across devices.
• Works across research disciplines, not limited to one field.
• Premium features (team collaboration, multi‑origin graphs, advanced export/resolution) for power users.

Connected Papers is a dedicated research‑visualisation platform designed to accelerate literature review and discovery for academics, students and R&D professionals. Starting from a single “seed” research paper, the system builds an interactive graph of linked publications based on similarity of citations and references, not solely direct citations. This approach allows it to surface relevant papers that might otherwise be overlooked in standard keyword or citation‑tree searches. The node size reflects the citation count of each paper, colour coding shows publication recency, and edge thickness indicates strength of relation, giving users an intuitive visual map of a research field. Users can then explore “Prior Works” which shaped the field and “Derivative Works” which cite many of the papers in the graph. A list view complements the visual interface, enabling sorting and filtering by year, citations or similarity, and guides researchers to identify seminal works, trending topics or under‑explored connections. The platform requires no setup or installation and is available in a browser, making it accessible for quick exploration. While a generous free tier allows many users to try the tool, premium options provide advanced export, collaboration and team‑usage capabilities for research groups or institutional deployments. Connected Papers is especially useful when tackling unfamiliar domains, writing literature reviews or seeking to map the state‑of‑the‑art in an area. By transforming abstract reference lists into vivid visual networks, it helps researchers gain insight faster, avoid missing key works and make more informed reading choices.

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