For this project, we utilized the OpenAlex and arXiv datasets. The purpose of the project is to investigate the impact of publishing an article in a journal on the number of citations received by the article. The data_proccessing-big_data.ipynb file contains the data collection and processing procedures. The Results_and_Visualizations.ipynb file contains the analysis and visualizations of the results. The following file [Paper Publication in Journals - Analyzing the Impact on Citations Rate.pdf] is the paper for our project.
Here you can download the final CSV file that we created after collecting and processing the data.
Explanation of each column:
article_id_openalex represents the identifier of an article as represented in OpenAlex.
date_citation_counts represents the number of citations for the article on specific dates.
first_publication_date represents the initial publication date of the article based on the arXiv dataset.
article_type represents the publication venue of the article, if applicable (journal, NaN, book, etc.).
journal_publication_date represents the publication date of the article in the journal, if applicable, based on the categories column.
categories represents the category or categories to which the article belongs.
pip install pandas
pip install matplotlib
pip install requests
pip install gdown
pip install glob2
pip install tqdm
pip install kaggle
pip install numpy
pip install AST
Distributed under the MIT License. See LICENSE.txt
for more information.