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Innovation and Entrepreneurship Research

pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus

Rose, Michael; Kitchin, John R. (2019). pybliometrics: Scriptable Bibliometrics Using a Python Interface to Scopus, Max Planck Institute for Innovation & Competition Research Paper No. 19-03.

We present a wrapper for the Scopus RESTful API written for Python 3. The wrapper allows users to access the Scopus database via user-friendly interfaces and can be used without prior knowledge of RESTful APIs. The package provides classes to interact with different Scopus APIs to retrieve information as diverse as citation counts, author information or document abstracts. Files are cached to speed up subsequent analysis. The package addresses all users of Scopus data, such as researchers working in Science of Science or evaluators. It facilitates re- producibility of research projects and enhances data integrity for researchers using Scopus data.

Available at SSRN

Also published in SoftwareX, 10, 100263