@article{Alhuay-Quispe_Estrada-Cuzcano_Bautista-Ynofuente_2022, title={Analysis and data visualization in bibliometric studies}, volume={13}, url={https://www.jlis.it/index.php/jlis/article/view/461}, DOI={10.36253/jlis.it-461}, abstractNote={<p>In recent years, academics with different professional formation other than Information Sciences have been involved in research related to metric studies using approaches and techniques based on bibliometrics; however, these professionals do not have knowledge and necessary competences for conduct metric information studies in a rigorous and methodical way. This article aims to find what are methods and tools used by bibliometrics researchers through a descriptive and textual analysis, using methods such as word co-occurrence in bibliographical data extracted from scientific articles indexing in Web of Science, research area "Library & Information Science." We find most frequently software and tools used in bibliometrics have four levels for data treatment: recovery, preparation, processing and analysis, visualization; and use different methods analysis: networks social, geospatial, thematic, temporal, bibliographic coupling, among others.</p>}, number={2}, journal={JLIS.it }, author={Alhuay-Quispe, Joel and Estrada-Cuzcano, Alonso and Bautista-Ynofuente, Lourdes}, year={2022}, month={May}, pages={58–73} }