openalex-database

To search for academic papers by author and filter for open access publications, use the OpenAlex database API to query works by specific authors and apply open access filters to retrieve matching scholarly literature titles.

Yes, you can perform bibliometric analysis and track citation counts across institutions using the OpenAlex API to retrieve structured data, analyze research output trends, and identify highly cited works from over 240 million scholarly records.

You can extract scholarly literature data into a structured format for large-scale research analysis by sending queries through the OpenAlex API using the Python requests library to retrieve and parse academic publication records.

The best way to find highly cited works on a specific topic published after a certain year is querying the OpenAlex database API with topic keywords, publication year filters, and sorting results by citation counts.

Yes, you need the Python requests library to query the OpenAlex database for research trends, as it handles the HTTP API interactions required to fetch bibliometric data and academic publication records.

Limitations of using OpenAlex for academic data extraction and citation tracking include relying entirely on the API's coverage of over 240 million works and potential rate limits during large-scale bibliometric data retrieval requests.