paper-recommendation-guide
Systematic paper recommendation and discovery using multiple methods
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill paper-recommendation-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.
# Paper Recommendation Guide ## Overview Finding the right papers to read is a research skill in itself. Beyond keyword searches, modern researchers have access to a rich ecosystem of recommendation tools that use citation networks, semantic similarity, co-authorship patterns, and collaborative filtering to surface relevant papers you might otherwise miss. This skill provides a systematic approach to paper discovery that goes beyond passive reading. It covers algorithmic recommendation services, citation-based discovery techniques, social and community-driven methods, and strategies for building and maintaining a well-curated reading pipeline. The goal is to minimize the chance that you miss an important paper while avoiding information overload. Whether you are entering a new field and need foundational papers, tracking the frontier of a mature research area, or looking for interdisciplinary connections, this guide provides concrete methods for each scenario. ## Algorithmic Recommendation Services ### OpenAlex Related Works OpenAlex provides concept-based and citation-based discovery for 250M+ works across all disciplines: ```bash # Find works related to a specific paper via its c
- Overview
- Algorithmic Recommendation Services
- OpenAlex Related Works
- Connected Papers
- Google Scholar Recommendations
- Research Rabbit
- Citation-Based Discovery Methods
- Forward Citation Chaining
- Backward Citation Mining
- Co-Citation Analysis
- Bibliographic Coupling
- Building a Reading Pipeline
- Weekly Routine
- Managing the Reading Queue
Find works related to a specific paper via its concepts and citations curl "https://api.openalex.org/works?filter=cites:W2741809807&sort=cited_by_count:desc&per_page=10"
What does the paper-recommendation-guide skill do?
Systematic paper recommendation and discovery using multiple methods
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill paper-recommendation-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.