Connected Papers

Connected Papers is a visualization-based tool for exploring scholarly literature. By entering a starting paper, you can quickly generate a network graph of related works in your field. The tool helps you conduct literature research efficiently, understand the knowledge structure of a domain, and identify key papers, saving you valuable research time.

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Generates visual networks of relationships between papers using co-citation and bibliographic coupling to reveal topic connections.

Presents a force-directed layout for visualization, clustering similar papers to reveal the structure of the literature network.

Supports starting papers input via multiple identifiers—DOI, title, arXiv ID, or paper URL.

Includes 'Prior Works' and 'Derivative Works' views to map the evolution and lineage of research within a field.

Allows you to save generated graphs and view history for easy management and future reference.

Node size typically indicates citation count, while color encodes the publication year, helping quickly assess a paper's influence and recency.

Enables direct viewing of abstracts, citations, and other details from the graph, with interactive exploration.

Data is primarily drawn from the Semantic Scholar corpus, covering hundreds of millions of interdisciplinary papers.

Use Cases of Connected Papers

When researchers enter a new field, to quickly understand the core literature and research landscape.

When writing a paper or a literature review, to help find and assemble relevant references.

Track new findings in a rapidly evolving area (e.g., AI) to avoid missing important papers.

For literature reviews or proposal writing, to visualize the current state and trends of research on a specific topic.

In teaching scenarios, to show students the classic literature and knowledge structure of a topic.

In team-based research, to synchronize and share understanding of literature in a field.

For personal academic management, to collect and organize a literature network closely related to one's research.

FAQ about Connected Papers

QWhat is Connected Papers?

Connected Papers is an online scholarly literature discovery platform that uses visual graphs to analyze the relationships between papers via citations and semantic connections, helping users quickly discover and understand literature networks in a given field.

QHow does Connected Papers generate literature relation graphs?

The tool primarily relies on co-citation and bibliographic coupling to assess similarities between papers by measuring overlap in citation relationships, and presents them as a force-directed visualization.

QIs Connected Papers free to use?

There are free and paid versions. The free plan allows up to 5 graph generations per month; paid plans offer unlimited graph generation, with academic and commercial options.

QWhat inputs does Connected Papers accept to start a graph?

Supports starting inputs via DOI, arXiv ID, title, Semantic Scholar or PubMed links, among other identifiers.

QWhat is Connected Papers' data source?

Mainly sourced from the Semantic Scholar paper corpus, covering hundreds of millions of interdisciplinary papers.

QWho is Connected Papers for?

Primarily useful for university researchers, students, teachers, and anyone needing in-depth literature research and scholarly exploration.

QWhat do the node color and size represent in the graphs?

Node size usually represents citation count, while color typically encodes the publication year, helping users quickly gauge influence and timeliness.