Keywords
Scientific Production
Population Studies
Demography
How to Cite
Abstract
In the context of the 15th anniversary of the Revista Latinoamericana de Población (RELAP), we analyze basic information on its articles and authors with the aim of showing the evolution of the Latin American demographic research agenda based on the scientific production published in one of the most important journals in the region. We found that, in the early years of the journal, there was an emphasis on research on families and migration, while in recent years, studies on mortality and health have gained in importance. In general, there is a thematic diversity of the published work; but there are significant gaps in the distribution of articles by country of first author and country of study. At the same time, there is evidence of parity according to the sex of the first author and of an increasing incidence of publications with more than two authors.
References
Castro Torres, A. F. y Alburez-Gutiérrez, D. (2022). North and South: Naming Practices and the Hidden Dimension of Global Disparities in Knowledge Production. Proceedings of the National Academy of Sciences, 119(10), e2119373119. https://doi.org/10.1073/pnas.2119373119
Celton, D. y Canales, A. I. (2007). Presentación. Revista Latinoamericana de Población, 1(1), 1-4.
Clarivate. (2022). Web of Science - Basic Search Engine. https://www.webofscience.com/wos/woscc/basic-search
Csardi, G. y Nepusz, T. (2006). The igraph software package for complex network research. InterJournal Complex Systems 1695. https://igraph.org
Garnier, S., Ross, N., Rudis, R., Camargo, A., Sciaini, M. y Scherer, C. (2021). viridis - Colorblind-Friendly Color Maps for R. https://doi.org/10.5281/zenodo.4679424
He, Q. (1999). Knowledge Discovery Through Co-word Analysis. Library Trends, 48(1), 133-159. https://www.ideals.illinois.edu/items/8226/bitstreams/28129/data.pdf
Lang, D. y Chien, G. (2018). wordcloud2: Create Word Cloud by ‘htmlwidget’. https://CRAN.R-project.org/package=wordcloud2
Merli, M. G., Moody, J., Verdery, A. y Yacoub, M. (2023). Demography’s Changing Intellectual Landscape: A Bibliometric Analysis of the Leading Anglophone Journals, 1950-2020. Demography, 60(3), 865–890. https://doi.org/10.1215/00703370-10714127
Priem, J., Piwowar, H. y Orr, R. (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts. ArXiv. https://doi.org/10.48550/arXiv.2205.01833
R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Silge, J. y Robinson, D. (2017). Text mining with R: A tidy approach. O’Reilly Media, Inc.
Silge, J. y Robinson, D. (2016). tidytext: Text Mining and Analysis Using Tidy Data Principles in R. Journal of Open Source Software, 1(3), 37. https://doi.org/10.21105/joss.00037
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag, New York. https://ggplot2.tidyverse.org
Wickham, H., François, R., Henry, L. y Müller, K. (2022). dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr
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Copyright (c) 2023 Adriana Robles, Andrés F. Castro Torres, Irene Casique