See how the papers in your library connect

PaperLab’s Graph page draws your library as a network. Each kind of link is a layer you switch on or off: what cites what, papers in the same workspace, a note anchored on two papers, a shared author or topic, and papers that simply read alike. Click a paper to focus it and list its connections, draw your own labelled link like “builds on”, and switch between five views: 2D, 3D, Matrix, Timeline and Rings.

The library as a graph: papers as dots coloured by workspace, joined by citations and similar content, with the link layers and their counts, and tabs for the 2D, 3D, Matrix, Timeline and Rings views.

What you can do

  • Layers: citations, shared workspace, shared note, shared author, shared topic, similar content.
  • Click a paper to focus it and list its connections.
  • Draw your own link between two papers, with a label like “builds on”.
  • 2D map, and a 3D one you can turn when clusters overlap.
  • Matrix: exactly which papers connect and how, as a table a screen reader can read.
  • Timeline by year published or date added, and Rings of distance from one paper.

Tips

  • Turn on one layer at a time: citations first, then similar content, to spot papers that read alike but never cite each other.
  • Use Rings around your key paper to find what is two links away.

Questions people ask

Is the graph accessible?

Yes. The Matrix view shows every connection as a table a screen reader can read cell by cell.

Where does “similar content” come from?

From the same embeddings search uses, so it needs a search model.

How is this different from Connected Papers?

Connected Papers maps papers from an online database. PaperLab graphs the papers you actually have, with your notes and workspaces, on your machine.

Guides

Terms explained

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Help PaperLab reach the next researcher

PaperLab is free, open source and built by one person. A star helps other researchers find it and puts each new release in your GitHub feed. The PaperLab page on LinkedIn posts a weekly breakdown of how one feature works.