Mapping, evolution, and application trends in co-citation analysis: a scientometric approach
This study aims to explore the mapping, evolution, and application trends of co-citation analysis. To accomplish this goal, a comprehensive search was conducted using Scopus and Web of Science, resulting in 1298 relevant studies. Further analysis was conducted on scientific production, country, auth...
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Format: | Online |
Language: | eng |
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Universidad Pedagógica y Tecnológica de Colombia
2023
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Online Access: | https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070 |
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author | Robledo-Giraldo, Sebastian Figueroa-Camargo, Jose Gregorio Zuluaga-Rojas, Martha Viviana Vélez-Escobar, Sol Beatriz Duque- Hurtado, Pedro Luis |
author_facet | Robledo-Giraldo, Sebastian Figueroa-Camargo, Jose Gregorio Zuluaga-Rojas, Martha Viviana Vélez-Escobar, Sol Beatriz Duque- Hurtado, Pedro Luis |
author_sort | Robledo-Giraldo, Sebastian |
collection | OJS |
description | This study aims to explore the mapping, evolution, and application trends of co-citation analysis. To accomplish this goal, a comprehensive search was conducted using Scopus and Web of Science, resulting in 1298 relevant studies. Further analysis was conducted on scientific production, country, author, journal, and network data. The Tree of Science algorithm was applied to demonstrate the development of co-citation analysis. The results make three significant contributions to scientometric research: Firstly, a scientific mapping is presented highlighting the scientific output, main journals, and key researchers; secondly, the advancements of co-citation analysis are presented through the Tree of Science metaphor; lastly, the study identifies the three main subtopics within co-citation analysis through citation analysis. These findings will assist researchers and librarians in recognizing the crucial contributions and applications of co-citation analysis. |
format | Online |
id | oai:oai.revistas.uptc.edu.co:article-16070 |
institution | Revista de Investigación, Desarrollo e Innovación (RIDI) |
language | eng |
publishDate | 2023 |
publisher | Universidad Pedagógica y Tecnológica de Colombia |
record_format | ojs |
spelling | oai:oai.revistas.uptc.edu.co:article-160702023-10-20T12:35:26Z Mapping, evolution, and application trends in co-citation analysis: a scientometric approach Mapping, evolution, and application trends in co-citation analysis: a scientometric approach Robledo-Giraldo, Sebastian Figueroa-Camargo, Jose Gregorio Zuluaga-Rojas, Martha Viviana Vélez-Escobar, Sol Beatriz Duque- Hurtado, Pedro Luis scientometrics; co-citations; document; author cienciometría; co-citaciones; documento; autor This study aims to explore the mapping, evolution, and application trends of co-citation analysis. To accomplish this goal, a comprehensive search was conducted using Scopus and Web of Science, resulting in 1298 relevant studies. Further analysis was conducted on scientific production, country, author, journal, and network data. The Tree of Science algorithm was applied to demonstrate the development of co-citation analysis. The results make three significant contributions to scientometric research: Firstly, a scientific mapping is presented highlighting the scientific output, main journals, and key researchers; secondly, the advancements of co-citation analysis are presented through the Tree of Science metaphor; lastly, the study identifies the three main subtopics within co-citation analysis through citation analysis. These findings will assist researchers and librarians in recognizing the crucial contributions and applications of co-citation analysis. Este estudio tiene como objetivo explorar el mapeo, la evolución y las tendencias de aplicación del análisis de citas conjuntas. Se realizó una búsqueda utilizando Scopus y Web of Science, lo que resultó en 1298 estudios relevantes. Se realizó un análisis adicional sobre la producción científica, el país, el autor, la revista y los datos de la red. Se aplicó el algoritmo Tree of Science para demostrar el desarrollo del análisis de cocitación. Los resultados hacen tres contribuciones significativas a la investigación cienciométrica: se presenta un mapeo científico destacando la producción científica, las principales revistas y los investigadores clave; los avances del análisis de cocitación se presentan a través de la metáfora del Árbol de la Ciencia; también se identifican los tres subtemas principales dentro del análisis de citas conjuntas a través del análisis de citas. Estos hallazgos ayudarán a los investigadores y bibliotecarios a reconocer las contribuciones y aplicaciones cruciales del análisis de citas conjuntas. Universidad Pedagógica y Tecnológica de Colombia 2023-02-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/xml https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070 10.19053/20278306.v13.n1.2023.16070 Revista de Investigación, Desarrollo e Innovación; Vol. 13 No. 1 (2023): Enero-Junio; 201-214 Revista de Investigación, Desarrollo e Innovación; Vol. 13 Núm. 1 (2023): Enero-Junio; 201-214 2389-9417 2027-8306 eng https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070/13110 https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070/13563 Derechos de autor 2023 Revista de Investigación, Desarrollo e Innovación |
spellingShingle | scientometrics; co-citations; document; author cienciometría; co-citaciones; documento; autor Robledo-Giraldo, Sebastian Figueroa-Camargo, Jose Gregorio Zuluaga-Rojas, Martha Viviana Vélez-Escobar, Sol Beatriz Duque- Hurtado, Pedro Luis Mapping, evolution, and application trends in co-citation analysis: a scientometric approach |
title | Mapping, evolution, and application trends in co-citation analysis: a scientometric approach |
title_alt | Mapping, evolution, and application trends in co-citation analysis: a scientometric approach |
title_full | Mapping, evolution, and application trends in co-citation analysis: a scientometric approach |
title_fullStr | Mapping, evolution, and application trends in co-citation analysis: a scientometric approach |
title_full_unstemmed | Mapping, evolution, and application trends in co-citation analysis: a scientometric approach |
title_short | Mapping, evolution, and application trends in co-citation analysis: a scientometric approach |
title_sort | mapping evolution and application trends in co citation analysis a scientometric approach |
topic | scientometrics; co-citations; document; author cienciometría; co-citaciones; documento; autor |
topic_facet | scientometrics; co-citations; document; author cienciometría; co-citaciones; documento; autor |
url | https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070 |
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