Build Academic Citation Networks for Gephi Visualization

This n8n workflow enables researchers to construct detailed citation networks from academic papers using seed identifiers like DOIs or PubMed IDs. It fetches paper details, recursively expands to cited and citing works up to a configurable depth, builds graph structures with nodes for papers and edges for citations, performs analysis like centrality metrics and clustering, and exports ready-to-visualize data for tools like Gephi or Cytoscape. Compatible with self-hosted n8n using community nodes, including PDF Vector API integration for enhanced paper processing.

Key benefits include time-saving automation of manual citation tracing, discovery of influential papers and research trends, and scalable network exploration without coding expertise. It handles complex recursive logic, ensures data integrity across expansions, and provides metrics to identify seminal works, making it invaluable for literature reviews.

Ideal use cases: analyzing trends in any field (e.g., health research), preparing grant proposals, mapping knowledge evolution, or visualizing co-citation patterns. Start with a few seed papers to uncover hidden connections and clusters effortlessly.