Replication Data for: The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members (Irmak, 2020)

This dataset contains the bibliometric data used in the article “The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members” published in Work (2020; 66(3):479–489), doi:10.3233/WOR-203193. The dataset includes the PubMed COVID-19 publication results, citation network edge lists, co-citation matrices, and supplementary files used to construct the citation and co-citation network analysis. The purpose of sharing this dataset is to ensure transparency, reproducibility, and reusability for researchers working in bibliometrics, COVID-19 literature analysis, and rehabilitation-related knowledge mapping. Researchers can analyze, reuse, or extend this dataset for network visualization, core article detection, temporal evolution assessment, or comparative bibliometric studies. The dataset may support further meta-research in evidence synthesis and research trends during the COVID-19 pandemic. Please cite this dataset as:Irmak, Rafet (Year). Dataset for “The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members”. Zenodo. DOI: (assigned after publication). Included dataset files: • COVID19_PMID_Master_List.csv – PubMed COVID-19 PMID base list.• COVID19_Citation_Network_Edgelist.csv – Raw citation network (directed edges).• COVID19_CoCitation_Network.csv – Processed co-citation dataset.• COVID19_CoCitation_Weighted.csv – Weighted co-citation edge list. All files are in CSV format for use in R, Python, Gephi or network analysis environments.