litstudy: A Python package for literature reviews

Open Access
Authors
Publication date 12-2022
Journal SoftwareX
Article number 101207
Volume | Issue number 20
Number of pages 7
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Researchers are often faced with exploring new research domains. Broad questions about the research domain, such as who are the influential authors or what are important topics, are difficult to answer due to the overwhelming number of relevant publications. Therefore, we present litstudy: a Python package that enables answering such questions using simple scripts or Jupyter notebooks. The package enables selecting scientific publications and studying their metadata using visualizations, bibliographic network analysis, and natural language processing. The software was previously used in a publication on the landscape of Exascale computing, and we envision great potential for reuse.
Document type Article
Language English
Published at https://doi.org/10.1016/j.softx.2022.101207
Other links https://www.scopus.com/pages/publications/85139213247
Downloads
litstudy (Final published version)
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