openalex-database

You can search for academic papers by querying the OpenAlex API directly via HTTP requests. This allows you to filter over 240 million scholarly works by keywords, authors, institutions, and publication topics to retrieve targeted research results.

Yes, bibliometric analysis is fully supported. You can track publication trends, identify highly cited papers, and analyze research output specifically within open access literature by querying the OpenAlex database through Python requests.

The best way to find highly cited publications from specific institutions is to query the OpenAlex database. You can filter scholarly works by author affiliation and sort the retrieved results by citation count to identify top research outputs.

Yes, you need the Python requests library to interact with the OpenAlex database API. It serves as the core dependency for sending queries and retrieving the scholarly metadata required to analyze research trends.

OpenAlex provides a comprehensive open access database of over 240 million scholarly works. Unlike paid alternatives, it facilitates unrestricted literature review and bibliometric analysis, tracking citations and research trends without subscription barriers.

OpenAlex bibliometric analysis is limited to the metadata provided by its API. While it covers 240 million scholarly works, the accuracy of citation tracking and identifying open access publications depends entirely on the completeness of the indexed database records.