Citation Analysis Disparity Between Sub-Areas of Brazilian Computer Science-Reference-Cited by-同舟云学术

Citation Analysis Disparity Between Sub-Areas of Brazilian Computer Science

Published:2024-07-21 Issue: Volume: Page:24-34
ISSN:
Container-title:Anais do XIII Brazilian Workshop on Social Network Analysis and Mining (BraSNAM 2024)
language:
Short-container-title:

Author:

Druszcz Fernando F.,Vignatti André L.

Abstract

Among the various ways of evaluating scientific production, there is a tendency to use metrics based on the number of citations. Apart from obvious problems, this takes on a new dimension when it is used to compare areas and sub-areas, specially from unfair assessments if submitted to the same evaluation committee. In this work, we examine various sub-areas of Computer Science using data from the Brazilian community. Our findings reveal a disparity in citations among these sub-areas, which may lead to issues if they are evaluated using the same criteria for scientific productivity. We demonstrate how the universal fit citation, previously proposed by Radicchi et al., can help mitigated these concerns.

Publisher

Sociedade Brasileira de Computação - SBC

Reference19 articles.

1. Albert, R. and Barabási, A.-L. (2002). Statistical mechanics of complex networks. Rev. Mod. Phys., 74:47–97.

2. Bibliography, D. C. S. (2022). Monthly snapshot. [link]. Accessed 30/11/2022.

3. Broido, A. D. and Clauset, A. (2019). Scale-free networks are rare. Nature Communications, 10(1017).

4. Clauset, A., Shalizi, C. R., and Newman, M. E. J. (2009). Power-law distributions in empirical data. SIAM Review, 51(4):661–703.

5. Dong, Y., Ma, H., Shen, Z., and Wang, K. (2017). A century of science: Globalization of scientific collaborations, citations, and innovations. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1437–1446. Association for Computing Machinery.