biblioverlap: an R package for document matching across bibliographic datasets
Author:
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11192-024-05065-5.pdf
Reference43 articles.
1. Archambault, É., Campbell, D., Gingras, Y., & Larivière, V. (2009). Comparing bibliometric statistics obtained from the Web of Science and Scopus. Journal of the American Society for Information Science and Technology, 60(7), 1320–1326. https://doi.org/10.1002/asi.21062
2. Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
3. Baker, M. (2017). Scientific computing: code alert. Nature. https://doi.org/10.1038/nj7638-563a
4. Basson, I., Simard, M.-A., Ouangré, Z. A., Sugimoto, C. R., & Larivière, V. (2022). The effect of data sources on the measurement of open access: a comparison of Dimensions and the Web of Science. PLoS One, 17(3), e0265545. https://doi.org/10.1371/journal.pone.0265545
5. Bornmann, L., Haunschild, R., & Mutz, R. (2021). Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-021-00903-w
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