Analysis and data visualization in bibliometric studies

Autor: Joel Alhuay-Quispe, Alonso Estrada-Cuzcano, Lourdes Bautista-Ynofuente
Jazyk: English<br />Italian
Rok vydání: 2022
Předmět:
Zdroj: JLIS.it, Vol 13, Iss 2 (2022)
Druh dokumentu: article
ISSN: 2038-1026
DOI: 10.36253/jlis.it-461
Popis: 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.
Databáze: Directory of Open Access Journals