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Source data and code for a Scopus-based bibliometric study for female first authorship of Artificial Intelligence Research in Africa

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Source_data_and_code_for_a_Scopus-based_bibliometric_study_for_female_first_authorship_of_Artificial_Intelligence_Research_in_Africa/26792809
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资源简介:
To cite the work: Folorunso, S., Turki, H., Dossou, B., & Salami, F. (2025). African Female Authorship in Artificial Intelligence Research: A Scopus-based Bibliometric Study. In The 6th International Workshop on Democracy and AI (DemocrAI@IJCAI 2025). Source data: scopus (1).csv, scopus (2).csv, and scopus (3).csv: Output of the data retrieval from Scopus.dataset.csv: Final dataset after resolving first names to their corresponding gender using genderize.io.Source code: Data Processing.ipynb: Creating the final dataset by merging the initial data and assigning gender to the first names of the scientists.Data_Analysis.ipynb: Generating tables and figures for the Paper.
创建时间:
2025-07-27
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