Papersgraph

Papersgraph is a research discovery platform that indexes millions of papers and maps citation relationships into interactive graph visualizations to accelerate literature discovery and analysis.

Key features:

• Real-time interactive graph visualizations of citation networks for any paper or topic (node/edge exploration, zoom, pan).
• Large-scale coverage (millions of papers, millions of mapped citations) enabling broad literature mapping and trend detection.
• Direct links to paper pages and downloadable PDFs where available, plus metadata (citations, references, publication venues).
• Flexible exploration workflows for tracing citation paths, finding influential papers, and inspecting clusters or communities.
• Designed for performance and scalability (web-based graph rendering suitable for exploratory research and teaching).

Technical notes:

• Web-native graph rendering (WebGL/D3-style approaches) for responsive, real-time interactions on large graphs.
• Likely backed by a graph database or indexed search layer to support fast neighborhood queries and citation traversals.
• Integrates DOI/PMID/venue metadata and exposes per-paper graph views and external PDF links for deeper reading.

Primary use cases:

• Researchers and graduate students performing literature reviews and citation mapping.
• Educators and librarians creating reading lists or visual summaries of research areas.
• Analysts discovering influential works, emergent topics, and citation-based relationships for systematic reviews.

Target users: academic researchers, students, research librarians, data scientists, and anyone needing citation-aware literature discovery.