Abstract
In this paper, we deal with a scientometric analysis on a dataset that contains an indexed collection of citations counts and other metrics for the 1000 most cited scientific articles from the Bucharest University of Economic Studies, published between 2007 and 2022. Univariate and multivariate analyses are conducted to assess the international visibility of scientific publications, by capturing trends over the spanned period and structural or distributional characteristics in the data at hand. For the sake of clarity and ease of interpretation, the results were mostly summarized in a graphical form.
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Bogdan Cocoș. (2022). Romanian Higher Education Institutions Index (1.0.0) [Data set]. Zenodo. https://www.zenodo.org/record/7406516. The same dataset is also available on the Kaggle datasets repository: https://www.kaggle.com/datasets/thedevastator/romanian-higher-education-institutions-a-longitu.
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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Popa, M.I. (2024). A Citation-Based Scientometric Analysis of Published Articles from Bucharest University of Economic Studies. In: Ciurea, C., Pocatilu, P., Filip, F.G. (eds) Proceedings of 22nd International Conference on Informatics in Economy (IE 2023). IE 2023. Smart Innovation, Systems and Technologies, vol 367. Springer, Singapore. https://doi.org/10.1007/978-981-99-6529-8_23
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DOI: https://doi.org/10.1007/978-981-99-6529-8_23
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