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Título del libro: Data 2019 - Proceedings Of The 8th International Conference On Data Science, Technology And Applications
Título del capítulo: Productivity and impact analysis of a research and technology development center using google scholar information

Autores UNAM:
EUGENIO MARIO LOPEZ Y ORTEGA; LUIS AGUSTIN ALVAREZ ICAZA LONGORIA;
Autores externos:

Idioma:
Inglés
Año de publicación:
2019
Palabras clave:

Strategic planning; Bibliometric analysis; Data verification; Google scholar; Information request; Parallel queries; Research and technological development; Research and Technology Development; Scientific researches; Productivity


Resumen:

This paper presents a project aimed at evaluating the scientific productivity and impact of a Mexican research and technological development center. The proposed evaluation is based on an automated bibliometric analysis system that exploits Google Scholar (GS) information. The import process of the evaluation is shown, including different aspects such as information request times, data verification through a parallel query in Crossref and homogenization of publication sources. As a result, 8,492 documents by 137 researchers associated with the research center were identified. These documents have received 74,683 citations. GS includes a great variety of published materials, such as journal papers, books, conference proceedings, white papers, and technical reports. This diversity of documents allows for a broader evaluation that takes into consideration other types of research products that are not usually considered for assessing scientific productivity. From our work, we conclude that the information in GS can be used to conduct a formal analysis of the productivity and impact of a research center. Copyright © 2019 by SCITEPRESS ? Science and Technology Publications, Lda. All rights reserved


Entidades citadas de la UNAM: