An open-source tool for merging data from multiple citation databases
Author:
Funder
Ministry of Science, Technological Development and Innovation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11192-024-05076-2.pdf
Reference36 articles.
1. Abdulhayoglu, M. A., & Thijs, B. (2018). Use of locality sensitive hashing (LSH) algorithm to match Web of Science and Scopus. Scientometrics, 116, 1229–1245. https://doi.org/10.1007/s11192-017-2569-6
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. Aviv-Reuven, S., & Rosenfeld, A. (2023). A logical set theory approach to journal subject classification analysis: Intra-system irregularities and inter-system discrepancies in Web of Science and Scopus. Scientometrics, 128(1), 157–175. https://doi.org/10.1007/s11192-022-04576-3
4. Broadus, R. N. (1987). Toward a definition of “bibliometrics.” Scientometrics, 12, 373–379. https://doi.org/10.1007/BF02016680
5. Campbell, D., Picard-Aitken, M., Côté, G., Caruso, J., Valentim, R., Edmonds, S., Williams, G., Macaluso, B., Robitaille, J.-P., Bastien, N., Laframboise, M.-C., & Lebeau, L.-M. (2010). Bibliometrics as a performance measurement tool for research evaluation: The case of research funded by the National Cancer Institute of Canada. American Journal of Evaluation, 31(1), 66–83. https://doi.org/10.1177/1098214009354774
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