OpenAlex Academic Search
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About this skill
Problem
Literature reviews often fail at turning repeated search hits into a clean, reviewable set. This skill queries OpenAlex for 250M+ academic works without an API key, which is useful for paper discovery, author tracking, DOI lookup, and citation-chain inspection.
How It Works
It separates common search actions into composable commands: topic search, author search, DOI lookup, retrieval of papers citing a work, and deep read for abstracts and full text when available. Output includes title, year, authors, abstract, citation count, DOI, open-access URL, and source journal, with JSON output for scripting.
The built-in literature review workflow runs a multi-step process: search across query variations, deduplicate and rank by relevance plus citations, identify thematic clusters, and generate a Markdown synthesis. Options include --papers N for target count, --years 2020-2025 for publication range, and --json for structured output.
Boundaries
OpenAlex sorts by relevance by default; use --sort citations when citation count matters. Abstracts, open-access URLs, and full text depend on source availability, and PDF retrieval requires an external tool. It is suitable for discovery and organization, not a replacement for formal citation management, rights checks, or academic verification.
Use Cases
- Before drafting a research proposal, run multi-query paper searches, deduplicate and rank results, then generate Markdown notes.
- After finding a core DOI, retrieve papers citing it to trace the research lineage.
- Triage candidate papers by reading abstracts and available full text to decide which deserve deeper analysis.
- Convert search output to JSON and filter programmatically by citations, year, and open-access links.
Best For
- Graduate students writing literature reviews who need to turn multi-query search results into reviewable notes.
- University faculty doing research surveys who need to filter candidate papers by topic, year, and citations.
- Algorithm engineers tracking technical directions who need DOI-based citation chains and open-access copies.
- Data analysts scripting academic workflows who need JSON search output for filtering and downstream processing.
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