Litstudy: A Python Package for Literature Reviews

14 Pages Posted: 9 Apr 2022

See all articles by Stijn Heldens

Stijn Heldens

affiliation not provided to SSRN

Alessio Sclocco

Netherlands eScience Center

Henk Dreuning

VU University Amsterdam

Ben van Werkhoven

Netherlands eScience Center

Pieter Hijma

VU University Amsterdam

Jason Maassen

Netherlands eScience Center

Rob V. van Nieuwpoort

Netherlands eScience Center

Abstract

Researchers are often faced with exploring a new research domain, which can be challenging due to the overwhelming number of relevant publications. Broad questions, such as what are the novel research avenues in this domain, are difficult to answer. Therefore, we present litstudy, a Python package that allows answering such questions using simple scripts or Jupyter notebooks.The package enables selecting scientific publications and studying their metadata using visualizations, network analysis, and natural language processing. The software was previously used in a publication about the landscape of Exascale computing, and we envision great potential for reuse.

Keywords: Literature review, Python, Jupyter, Bibliometrics

Suggested Citation

Heldens, Stijn and Sclocco, Alessio and Dreuning, Henk and van Werkhoven, Ben and Hijma, Pieter and Maassen, Jason and van Nieuwpoort, Rob V., Litstudy: A Python Package for Literature Reviews. Available at SSRN: https://ssrn.com/abstract=4079400 or http://dx.doi.org/10.2139/ssrn.4079400

Stijn Heldens (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Alessio Sclocco

Netherlands eScience Center ( email )

Netherlands

Henk Dreuning

VU University Amsterdam ( email )

Ben Van Werkhoven

Netherlands eScience Center ( email )

Netherlands

Pieter Hijma

VU University Amsterdam ( email )

De Boelelaan 1105
Amsterdam, 1081HV
Netherlands

Jason Maassen

Netherlands eScience Center ( email )

Netherlands

Rob V. Van Nieuwpoort

Netherlands eScience Center ( email )

Netherlands

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