literature-mapping-guide
Visual literature mapping and connected papers exploration
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill literature-mapping-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Literature Mapping Guide Build visual maps of scholarly literature to understand research landscapes, identify clusters of related work, and discover hidden connections between papers. ## What Is Literature Mapping? Literature mapping transforms flat lists of papers into interactive visual networks where nodes represent papers and edges represent citation or similarity relationships. This approach helps researchers: - See the overall structure of a research field at a glance - Identify seminal papers (highly connected nodes) - Discover clusters and subfields - Find bridging papers that connect disparate areas - Spot gaps where no papers exist ## Tools for Visual Literature Mapping ### Connected Papers Connected Papers (connectedpapers.com) builds a similarity graph around a seed paper using co-citation and bibliographic coupling analysis. | Feature | Details | |---------|---------| | Input | Paper title, DOI, or URL | | Graph type | Similarity (not direct citation) | | Node size | Citation count | | Node color | Publication year (darker = older) | | Max nodes | ~40 per graph | | Cost | Free: 5 graphs/month; Premium: unlimited | How to use: 1. Enter a seed paper URL or title 2. Th
- What Is Literature Mapping?
- Tools for Visual Literature Mapping
- Connected Papers
- Litmaps
- VOSviewer
- CiteSpace
- Building a Custom Literature Map with Python
- Interpreting Literature Maps
- Best Practices
What does the literature-mapping-guide skill do?
Visual literature mapping and connected papers exploration
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill literature-mapping-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.