Scientific production in Environmental Sciences in South America 2000 - 2022: Trends and comparisons
DOI:
https://doi.org/10.51252/reacae.v3i2.675Keywords:
self-citations, citations, ranking, scientific papers, H-indexAbstract
The study of scientific production in Environmental Sciences allows us to broaden our knowledge in this area of great interest worldwide. The objective was to study the scientific production in Environmental Sciences in South America, its trends and comparisons. The data were obtained from Scimago Journals & Country Rank between 2000-2022 and statistically processed using the Infostat package, by classification-regression trees, and Spearman correlation. There are differences in the classification of countries according to the number of documents published, citations and self-citations. The results show that Brazil stands out in publications (59.56%), Bolivia in citations (11.12%) and Guyana in external citations (96.52%), likewise, there are different groupings of countries according to the tendency of their bibliometric indicators, with Ecuador and Peru being the most associated with other countries, on the other hand, the H indexes are related to Self-citations (Rho = 0.9037; p = 0.0000). In conclusion, it was shown that, in Environmental Sciences, the most productive countries do not generate more interest in their publications and that associations are present between the trends of the bibliometric indicators, it is also inferred that the H Index of the most productive countries is bulked by the number of Self-citations.
Downloads
References
Altonar, X. A., Contreras, L. E., Gil, M., & Pérez, M. Á. (2023). El impacto de la producción científica y su relación con el desempeño ambiental. Revista Española de Documentación Científica, 46(2), e352-e352. https://doi.org/10.3989/redc.2023.2.1943
Amjad, T., Rehmat, Y., Daud, A., & Abbasi, R. A. (2020). Scientific impact of an author and role of self-citations. Scientometrics, 122, 915-932. https://doi.org/10.1007/s11192-019-03334-2
Arriojas, D. D. J., & Marín, T. D. (2021). Producción científica en ingeniería: análisis comparativo de países de Suramérica del 2008 al 2018. Revista Universidad y Sociedad, 13(3), 84-93. https://rus.ucf.edu.cu/index.php/rus/article/view/2077
Auza-Santivañez, J. C., Santiváñez-Cabezas, M. V., & Dorta-Contreras, A. J. (2020). Análisis de la producción científica y la colaboración internacional boliviana indexada en Scopus entre 1996-2018. Revista cubana de investigaciones biomédicas, 39(3), 1-17. https://www.medigraphic.com/pdfs/revcubinvbio/cib-2020/cib203v.pdf
Avendaño-Castro, W. R., Mogrovejo-Andrade, J. M., & Bastos-Osorio, L. M. (2023). Análisis de los Indicadores de Producción y Citación Científica en Latinoamérica (2009-2019): Una Evaluación Basada en SCImago. Perspectivas, 8(S1), 6-14. https://doi.org/10.22463/25909215.4110
Cabrera, M., & Saraiva, I. (2022). Principales problemáticas de las publicaciones científicas: un análisis en perspectiva latinoamericana. E-Ciencias de la Información, 12(1), 188-210. https://dx.doi.org/10.15517/eci.v12i1.46145
Castañeda, I. A., Belaunde, A., & Labrada, A. (2022). La autocitación como dilema ético en la redacción científica. Archivos del Hospital Universitario “General Calixto García”, 10(2), 183-185. http://www.revcalixto.sld.cu/index.php/ahcg/article/view/e949/781
Copez-Lonzoy, A., & Paz-Jesús, A. (2018). ¿Investigación doppelgänger? Consideraciones sobre las autocitas. Revista de Psiquiatría y Salud Mental, 11(3), 185–186. https://doi.org/10.1016/j.rpsm.2018.01.002
Dangles, O., Loirat, J., Freour, C., Serre, S., Vacher, J., & Le Roux, X. (2016). Research on biodiversity and climate change at a distance: collaboration networks between Europe and Latin America and the Caribbean. PLoS One, 11(6), e0157441. https://doi.org/10.1371/journal.pone.0157441
Di Marco, M., Chapman, S., Althor, G., Kearney, S., Besancon, C., Butt, N., ... & Watson, J. E. (2017). Changing trends and persisting biases in three decades of conservation science. Global Ecology and Conservation, 10, 32-42. https://doi.org/10.1016/j.gecco.2017.01.008
Ebadi, A., & Schiffauerova, A. (2016). How to boost scientific production? A statistical analysis of research funding and other influencing factors. Scientometrics, 106(3), 1093-1116. https://doi.org/10.1007/s11192-015-1825-x
Gómez, M., & Samudio, M. (2022). H-Index of Paraguayan researchers in the disciplines of medicine, biochemistry and biology, 2019-2020. E-Ciencias de la Información, 12(2), 39-58. https://dx.doi.org/10.15517/eci.v12i2.48962
Gregorio-Chaviano, O., Marín-Florez, A., López-Mesa, E. K., López-Córdoba, M. A., López Gómez, M., & Zamora, M. C. (2023). Efecto de las citas de revistas Emerging Sources Citation Index en el factor de impacto. Encontros Bibli, 28, e91382. https://doi.org/10.5007/1518-2924.2023.e91382
Guerrero-Casado, J. (2017). Producción científica latinoamericana indexada en Scopus en el área de las ciencias agropecuarias: análisis del período 1996-2016. Idesia (Arica), 35(4), 27-33. https://dx.doi.org/10.4067/S0718-34292017000400027
Ibañez-Marti, J. J. (2018). La ciencia en Latinoamérica: tendencias y patrones. Revista de la Facultad de Ciencias, 7(1), 23-39. https://doi.org/10.15446/rev.fac.cienc.v7n1.69409
Inönü, E. (2003). The influence of cultural factors on scientific production. Scientometrics, 56(1), 137-146. https://doi.org/10.1023/A:1021906925642
Krzywinski, M., & Altman, N. (2017). Classification and regression trees. Nature Methods, 14, 757–758. https://doi.org/10.1038/nmeth.4370
Lanzante, J. R. (2021). Testing for differences between two distributions in the presence of serial correlation using the Kolmogorov–Smirnov and Kuiper's tests. International Journal of Climatology, 41(14), 6314-6323. https://doi.org/10.1002/joc.7196
León, J. L., Socorro, A. R., Cáceres, M. L., & Pérez, C. J. (2020). Producción científica en América Latina y el Caribe en el período 1996-2019. Revista Cubana de Medicina Militar, 49(3), e573. http://scielo.sld.cu/pdf/mil/v49n3/1561-3046-mil-49-03-e573.pdf
Limaymanta, C. H., Zulueta-Rafael, H., Restrepo-Arango, C., & Álvarez-Muñoz, P. (2020). Análisis bibliométrico y cienciométrico de la producción científica de Perú y Ecuador desde Web of Science (2009-2018). Información, cultura y sociedad, (43), 31-52. https://dx.doi.org/10.34096/ics.i43.7926
Madrid, M. J., Jiménez-Fanjul, N., León-Mantero, C., & Maz-Machado, A. (2017). Revistas brasileñas de Educación en SCOPUS: un análisis bibliométrico. Biblios, (67), 30-41. https://dx.doi.org/10.5195/biblios.2017.344
Marín, T. D., & Arriojas, D. D. J. (2021). Revistas ambientales latinoamericanas en Scopus y WoS en 2019: relación con indicadores ambientales. Bibliotecas, 39(2), 1-22. https://doi.org/10.15359/rb.39-2.3
Merediz-Solà, I., & Bariviera, A. F. (2019). A bibliometric analysis of bitcoin scientific production. Research in International Business and Finance, 50, 294-305. https://doi.org/10.1016/j.ribaf.2019.06.008
Meza, P., & Ortega, G. (2019). La autocita en artículos de investigación publicados en Scielo Chile: variación según el área de la ciencia y la experticia del autor. Investigación bibliotecológica, 33(81), 41-56. https://doi.org/10.22201/iibi.24488321xe.2019.81.58069
Miranda-Estrada G. P., Barrientos-Lujan, P. K., Escobar-Guevara, R. C., & Verástegui-Quezada, K. G. (2020). Desafíos en la producción científica boliviana. ¿Estamos preparados? Revista Cubana de Investigaciones Biomédicas, 39(4), e1149. http://scielo.sld.cu/pdf/ibi/v39n4/1561-3011-ibi-39-04-e1149.pdf
Nepote, A. C., Massarani, L., & Rocha, M. (2020). Meio ambiente e Comunicação: um olhar sobre a produção científica na América Latina. Revista Eletrônica De Comunicação, Informação & Inovação Em Saúde, 14(2). https://doi.org/10.29397/reciis.v14i2.2052
Ramírez, T., & Salcedo, A. (2016). Inversión y producción científica en Venezuela ¿una relación inversamente proporcional?. Revista de Pedagogía, 37(101), 147-174. https://www.redalyc.org/pdf/659/65950543008.pdf
Repiso, R., Moreno-Delgado, A., & Aguaded, I. (2020). Factors affecting the frequency of citation of an article. Iberoamerican Journal of Science Measurement and Communication, 1(1), 1-6. https://doi.org/10.47909/ijsmc.08
Ronda-Pupo, G. A. (2021). Producción científica e impacto del sistema de ciencia de Latinoamérica y el Caribe en revistas de la región. Investigación bibliotecológica, 35(88), 45-62. https://doi.org/10.22201/iibi.24488321xe.2021.88.58358
Salvador-Oliván, J. A., Marco-Cuenca, G., & Arquero-Avilés, R. (2018). Impacto de las revistas españolas de Biblioteconomía y Documentación y repercusión de las autocitas en su índice h. Investigación bibliotecológica, 32(77), 13-30. https://doi.org/10.22201/iibi.24488321xe.2018.77.57852
Yu, H., & Hutson, A. D. (2024). A robust Spearman correlation coefficient permutation test. Communications in Statistics-Theory and Methods, 53(6), 2141-2153. https://doi.org/10.1080/03610926.2022.2121144
Zhong, S., Zhang, K., Bagheri, M., Burken, J. G., Gu, A., Li, B., ... & Zhang, H. (2021). Machine learning: new ideas and tools in environmental science and engineering. Environmental Science & Technology, 55(19), 12741-12754. https://doi.org/10.1021/acs.est.1c01339
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Tomás Darío Marín-Velásquez
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors retain their rights:
a. The authors retain their trademark and patent rights, as well as any process or procedure described in the article.
b. The authors retain the right to share, copy, distribute, execute and publicly communicate the article published in the Revista Amazónica de Ciencias Ambientales y Ecológicas (REACAE) (for example, place it in an institutional repository or publish it in a book), with an acknowledgment of its initial publication in the REACAE.
c. Authors retain the right to make a subsequent publication of their work, to use the article or any part of it (for example: a compilation of their works, notes for conferences, thesis, or for a book), provided that they indicate the source of publication (authors of the work, journal, volume, number and date).
