AuthorProfile
Analyzes academic author networks and research collaborations by extracting information from multiple data sources.
About
AuthorProfile analyzes academic author networks and research collaborations using a Model Context Protocol (MCP) server. It retrieves co-author information and extracts research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar. The server incorporates features like rate limiting, caching, and error handling to ensure efficient and reliable data retrieval, even with API limits and potential scraping issues. It combines data from multiple sources for co-author identification and uses asynchronous operations for improved performance.
Key Features
- Finds co-authors for a given researcher.
- Extracts research keywords from Google Scholar profiles.
- Respects API rate limits and includes delays for web scraping.
- Caches data to reduce redundant API calls and scraping requests.
- Merges data from multiple sources for comprehensive co-author information.
- 1 GitHub stars
Use Cases
- Identifying collaborators for research projects.
- Discovering the research interests and keywords associated with a specific author.
- Building and analyzing academic author networks.