Study of the Most Valuable Researcher: Bibliometric Indicators and Collaboration Networks

Descripción del Articulo

This work seeks to find the Most Valuable Researcher (MVR) within the academics of Faculties of Engineering and Business of a University in Chile, applying bibliometric indicators and collaboration networks. The methodology consisted in reviewing the literature referring to similar bibliometric stud...

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Detalles Bibliográficos
Autores: Peña Ramírez, Camilo, Concha, Leonardo, Forcael, Eric, Garcés, Gonzalo
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad de Lima
Repositorio:Revistas - Universidad de Lima
Lenguaje:inglés
OAI Identifier:oai:revistas.ulima.edu.pe:article/5208
Enlace del recurso:https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/5208
Nivel de acceso:acceso abierto
Materia:most valuable researcher
bibliometric indicator
collaborative networks
scientific production
WoS
H index
investigador más valioso
indicador bibliométrico
redes de colaboración
producción científica
índice H
Descripción
Sumario:This work seeks to find the Most Valuable Researcher (MVR) within the academics of Faculties of Engineering and Business of a University in Chile, applying bibliometric indicators and collaboration networks. The methodology consisted in reviewing the literature referring to similar bibliometric studies from open databases, such as SciELO and Google Scholar. As a result of the study, a model was proposed based on the main bibliometric indicators used, with it was possible to filter the researchers from both faculties and establish a ranking with those academics with the best results and the current situation facing the research in each unit. This ranking indicates the standard that the most valuable researchers have, identifying that the variable “collaborative networks” has a direct relationship with the productivity of researchers and, also, the existence of correlations with indicators of network grade, co-authorship, and research area. This work seeks to deliver recommendations on the quantity and quality of scientific production within the University. Future research should include other databases and expand the scope by region, country, and area of expertise, and consider other factors such as the age of the researcher, forms of citation, and characteristics by area of knowledge, as well as deepen the concept of MVR, and its virtuous effect on the productivity of an academic unit.
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