What problem does it solve?
This Skill provides a comprehensive solution for querying and analyzing scholarly literature using the OpenAlex database, enabling users to search for academic papers, analyze research trends, track citations, and conduct bibliometric studies.
Core Features & Use Cases
- Scholarly Literature Search: Search for papers by title, abstract, or topic.
- Research Output Analysis: Analyze research output from authors, institutions, and topics.
- Citation Analysis: Find papers that cite a specific work.
- Topic and Subject Analysis: Understand research focus areas.
- Large-Scale Data Extraction: Download large datasets for analysis.
- Use Case: Imagine you need to find the most highly cited papers on a specific topic over the last 5 years. This Skill allows you to efficiently search, filter, and analyze the data to provide the most relevant information.
Quick Start
Initialize the OpenAlex client with your email address and search for papers on "machine learning" with the following command:
client = OpenAlexClient(email="[email protected]")
results = client.search_works(search="machine learning", per_page=100)