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  • 标题:Analysis and data visualization in bibliometric studies
  • 本地全文:下载
  • 作者:Joel Alhuay-Quispe ; Alonso Estrada-Cuzcano ; Lourdes Bautista-Ynofuente
  • 期刊名称:JLIS.it
  • 印刷版ISSN:2038-1026
  • 出版年度:2022
  • 卷号:13
  • 期号:2
  • DOI:10.36253/jlis.it-461
  • 语种:English
  • 出版社:Università di Firenze Dipartimento di Storia, Archeologia, Geografia, Arte e Spettacolo
  • 摘要: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.
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