litstudy: A Python package for literature reviews
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| Publication date | 12-2022 |
| Journal | SoftwareX |
| Article number | 101207 |
| Volume | Issue number | 20 |
| Number of pages | 7 |
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| 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.
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| 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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