Pybliometrics: Scriptable Bibliometrics using a Python Interface to Scopus

14 Pages Posted: 31 Jan 2019 Last revised: 9 Jul 2019

See all articles by Michael E. Rose

Michael E. Rose

Max Planck Institute for Innovation and Competition

John R. Kitchin

Carnegie Mellon University - Department of Chemical Engineering

Date Written: January 22, 2019

Abstract

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.

Keywords: Scopus, software, Python, bibliometrics, scientometrics

Suggested Citation

Rose, Michael and Kitchin, John R., Pybliometrics: Scriptable Bibliometrics using a Python Interface to Scopus (January 22, 2019). In: SoftwareX (2019), Vol. 10; Max Planck Institute for Innovation & Competition Research Paper No. 19-03. Available at SSRN: https://ssrn.com/abstract=3320470 or http://dx.doi.org/10.2139/ssrn.3320470

Michael Rose (Contact Author)

Max Planck Institute for Innovation and Competition ( email )

Marstallplatz 1
Munich, Bayern 80539
Germany

HOME PAGE: http://https://www.ip.mpg.de/en/persons/rose-michael.html

John R. Kitchin

Carnegie Mellon University - Department of Chemical Engineering ( email )

Pittsburgh, PA 15260
United States

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