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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Autores:
Tipo de recurso:
http://purl.org/coar/resource_type/c_6571
Fecha de publicación:
2023
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
eng
OAI Identifier:
oai:repositorio.uptc.edu.co:001/10418
Acceso en línea:
https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070
https://repositorio.uptc.edu.co/handle/001/10418
Palabra clave:
scientometrics;
co-citations;
document;
author
cienciometría;
co-citaciones;
documento;
autor
Rights
License
Derechos de autor 2023 Revista de Investigación, Desarrollo e Innovación
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spelling 2023-02-152024-07-05T18:04:16Z2024-07-05T18:04:16Zhttps://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/1607010.19053/20278306.v13.n1.2023.16070https://repositorio.uptc.edu.co/handle/001/10418This 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.application/pdftext/xmlengengUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070/13110https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070/13563Derechos de autor 2023 Revista de Investigación, Desarrollo e Innovaciónhttp://purl.org/coar/access_right/c_abf72http://purl.org/coar/access_right/c_abf2Revista de Investigación, Desarrollo e Innovación; Vol. 13 No. 1 (2023): Enero-Junio; 201-214Revista de Investigación, Desarrollo e Innovación; Vol. 13 Núm. 1 (2023): Enero-Junio; 201-2142389-94172027-8306scientometrics;co-citations;document;authorcienciometría;co-citaciones;documento;autorMapping, evolution, and application trends in co-citation analysis: a scientometric approachMapping, evolution, and application trends in co-citation analysis: a scientometric approachinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6571http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a155http://purl.org/coar/version/c_970fb48d4fbd8a85Robledo-Giraldo, SebastianFigueroa-Camargo, Jose GregorioZuluaga-Rojas, Martha VivianaVélez-Escobar, Sol BeatrizDuque- Hurtado, Pedro Luis001/10418oai:repositorio.uptc.edu.co:001/104182025-07-18 11:51:10.143metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co
dc.title.en-US.fl_str_mv Mapping, evolution, and application trends in co-citation analysis: a scientometric approach
dc.title.es-ES.fl_str_mv 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
spellingShingle Mapping, evolution, and application trends in co-citation analysis: a scientometric approach
scientometrics;
co-citations;
document;
author
cienciometría;
co-citaciones;
documento;
autor
title_short 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_sort Mapping, evolution, and application trends in co-citation analysis: a scientometric approach
dc.subject.en-US.fl_str_mv scientometrics;
co-citations;
document;
author
topic scientometrics;
co-citations;
document;
author
cienciometría;
co-citaciones;
documento;
autor
dc.subject.es-ES.fl_str_mv cienciometría;
co-citaciones;
documento;
autor
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.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2024-07-05T18:04:16Z
dc.date.available.none.fl_str_mv 2024-07-05T18:04:16Z
dc.date.none.fl_str_mv 2023-02-15
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6571
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a155
format http://purl.org/coar/resource_type/c_6571
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070
10.19053/20278306.v13.n1.2023.16070
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/10418
url https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16070
https://repositorio.uptc.edu.co/handle/001/10418
identifier_str_mv 10.19053/20278306.v13.n1.2023.16070
dc.language.none.fl_str_mv eng
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 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
dc.rights.es-ES.fl_str_mv Derechos de autor 2023 Revista de Investigación, Desarrollo e Innovación
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf72
rights_invalid_str_mv Derechos de autor 2023 Revista de Investigación, Desarrollo e Innovación
http://purl.org/coar/access_right/c_abf72
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.es-ES.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista de Investigación, Desarrollo e Innovación; Vol. 13 No. 1 (2023): Enero-Junio; 201-214
dc.source.es-ES.fl_str_mv Revista de Investigación, Desarrollo e Innovación; Vol. 13 Núm. 1 (2023): Enero-Junio; 201-214
dc.source.none.fl_str_mv 2389-9417
2027-8306
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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