Sistema Gestor de Recomendaciones de ScimagoJR

Abstract

It is a project that seeks to guide any research user who wishes to publish their articles of an investigative nature in the best or best magazines globally. For this monograph, what is presented is a system capable of recommending journals at an investigative level based on the user's search criteria. A study was made of the results of filters that may be the most optimal to make the best magazine recommendations. It is taken into account that a journal is recognized globally, according to its country of origin, the area it applies, the categories where it focuses its research and more precise numerical data, such as its score on platforms such as Scopus, the number of references that The journal has had and even its best quartile, the latter being an important validator to position the journal in a positive or negative way. The importance of generating reports, whether graphic or textual, is also framed. The reports for the SRS (ScimagoJR Recommendation System) help to know what a researcher user really looks at when choosing a research journal to publish their articles. In addition, with the generation of these reports, we will know how often and with what search data queries are made in this system.