literature-search-openalex

What problem does it solve?

It removes the friction of finding, disambiguating, and citing scholarly sources by turning messy names, DOIs, and research queries into reliable OpenAlex entity IDs and structured results.

Core Features & Use Cases

• Scholarly discovery across entity types: Query papers (works) and related entities like authors, institutions, topics, sources, publishers, funders, and keywords.
• Safe, repeatable lookups: Uses a resolve-then-filter workflow to avoid incorrect matches, supports DOI lookups, and can download open-access PDFs for selected works.
• Bibliometrics & taxonomy exploration: Supports sorting and filtering by citation-based metrics (e.g., cited-by counts) and exploring research taxonomies (domains/fields/subfields/topics, SDGs, etc.).
• Operational guardrails: Encourages small outputs with field selection and pagination to reduce cost and context bloat, plus clear handling of rate limits and missing results.

Quick Start

Use the OpenAlex skill to find the top 10 open-access papers related to "graphene photodetectors" and return only their IDs, titles, years, and citation counts.