citation-network-guide
Analyze citation networks, impact metrics, and bibliometric patterns
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill citation-network-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.
# Citation Network Analysis Guide ## Overview Citation networks encode the intellectual structure of scientific fields. By analyzing who cites whom, how ideas propagate, and where research clusters form, researchers can identify foundational papers, emerging trends, influential authors, and gaps in the literature that represent opportunities for new contributions. This guide covers the theory and practice of citation network analysis: building networks from bibliographic data, computing standard metrics (h-index, impact factor, PageRank, betweenness centrality), visualizing network structure, and interpreting results. It also covers altmetrics -- alternative impact measures that capture attention beyond traditional citations. Whether you are conducting a systematic literature review, mapping a new research area, evaluating potential collaborators, or assessing the impact of your own work, citation network analysis provides quantitative tools to complement qualitative judgment. ## Core Concepts ### Types of Citation Networks | Network Type | Nodes | Edges | Question Answered | |-------------|-------|-------|-------------------| | Direct citation | Papers | Paper A cites Paper B | Wh
- Overview
- Core Concepts
- Types of Citation Networks
- Key Metrics
- Building Citation Networks
- Data Sources
- Fetching Data with OpenAlex
- Building the Network with NetworkX
- Network Analysis
- Computing Centrality Metrics
- Co-Citation Analysis
- Visualization
- Using pyvis for Interactive Visualization
- Using VOSviewer
What does the citation-network-guide skill do?
Analyze citation networks, impact metrics, and bibliometric patterns
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill citation-network-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.