Visual exploration tool that maps related academic papers using citation networks
Connected Papers is a web-based tool that generates interactive visual graphs of academic papers based on citation connections. Users enter a single paper and the tool maps similar works, prior references, and derivative studies using the Semantic Scholar database. It helps researchers, students, and academics quickly understand a field, find missing references, and track how ideas evolve.
Connected Papers fills a specific niche in academic research: making citation networks visual and interactive. Instead of scrolling through endless search results, you drop in one paper and get a graph that shows how papers cluster by similarity. The Semantic Scholar backbone means coverage is broad across sciences and humanities, though it's not exhaustive for every niche subfield.
The tool is straightforward to use. You paste a DOI, title, or URL, and the graph appears in seconds. You can click any node to see its details and build out the graph further. The Prior Works and Derivative Works views add historical depth and forward-looking context, which is helpful for understanding how a field has evolved and where it's heading. The free tier is generous enough for occasional use, but if you're working on a large literature review, the Pro plan's unlimited graphs become necessary.
Missing features include direct integration with reference managers like Zotero or EndNote, and the export options are basic. But for what it does — visually mapping academic papers — it's a clean, fast, and useful tool. It won't replace a deep literature search, but it's excellent for getting oriented in a new area or catching papers you might have missed.
Generates an interactive visual graph of similar papers based on a single input paper
Displays important ancestor papers that influenced your input paper
Shows recent papers and literature reviews that cite your input paper
Fills missing references when you start with a few key papers for a bibliography
Pulls from Semantic Scholar's database of hundreds of millions of papers across all fields
Click any paper node to see details and expand the graph with new connections
It uses the Semantic Scholar database and citation data to find papers similar to your input. The graph positions papers based on relevance, with closer papers being more similar. You can click any paper to expand the graph further.
Yes, there is a free tier that allows a limited number of graphs per month. For unlimited graphs and additional features like export options, there is a paid Pro plan.
It covers all scientific fields because it pulls from Semantic Scholar, which contains hundreds of millions of papers from disciplines like 機械学習, biology, philosophy, and more.
The free tier offers basic viewing. The Pro plan includes export options, though specific formats depend on the current version. Check the site for the latest details on export capabilities.
Google Scholar and PubMed are 検索エンジン that return lists of papers. Connected Papers visualizes relationships between papers in an interactive graph, making it easier to see connections and discover related works you might miss with keyword searches alone.
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