Global trends in coronavirus research at the time of Covid-19: A general bibliometric approach and content analysis using SciMAT

  • Enrique Herrera-Viedma University of Granada, Department of Computer Science and Artificial Intelligence Hospital Real. Avenida del Hospicio, s/n, 18010 Granada
  • José-Ricardo López-Robles Universidad Del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU)
  • Javier Guallar University of Barcelona, Department of Information Science and Media Studies Information, Communication and Culture Research Center (CRICC) Melcior de Palau, 140. 08014 Barcelona, Spain
  • Manuel-Jesús Cobo University of Cádiz, Department of Computer Science and Engineering Avenida de la Universidad no. 10, Puerto Real, 11519, Spain


Covid-19 represents the greatest challenge facing mankind today. In December 2019, several cases of pneumonia of unknown etiology were reported from China. This coronavirus infection subsequently identified as Covid-19 aroused worldwide concern. As a result, the scientific community has focused attention on Covid-19, as revealed by recent research reported in literature based on a holistic approach. In this regard, this study conducts a bibliometric analysis of coronavirus research in the literature with an emphasis on Covid-19 disease, using as a reference the publications in the Web of Science Core Collection from 1970 to 2020. This research analyzes 12,571 publications from 1970 to (April 18) 2020 by applying advanced bibliometric techniques in SciMAT bibliometric analysis software. The current research therefore provides a complete conceptual analysis of the main coronavirus types and strains in the literature by quantifying the main bibliometric performance indicators, identifying the main authors, organizations, countries, sources, and research areas, and evaluating the development of this field. Furthermore, a science map is constructed to understand the corresponding intellectual structure and main research lines (themes). SciMAT thereby offers a complete approach to the field and evaluates the main performance indicators related to coronavirus, with a focus on Covid-19. Finally, this research serves as a framework to strengthen existing research lines and develop new ones, establishing synergistic relationships that were not visible without the maps generated herein.

Biografía del autor/a

José-Ricardo López-Robles, Universidad Del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU)
Ingeniero Industrial y de Sistemas por el Instituto Tecnológico y de Estudios Superiores de Monterrey (México, 2007), Master en Dirección de Proyectos por la Universidad del País Vasco/Euskal Herriko Unibertsitatea (España, 2010) y Master en Dirección de Empresas por la Escuela de Negocios Europea de Barcelona (España, 2017). Ha sido galardonado con el Premio Iberoamericano "Veta de Plata 2016" en la categoría "Ciencia y Tecnología" y actualmente es candidato a doctor por la Universidad del País Vasco/Euskal Herriko Unibertsitatea (España).


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Cómo citar
Herrera-Viedma, E., López-Robles, J.-R., Guallar, J., & Cobo, M.-J. (2020). Global trends in coronavirus research at the time of Covid-19: A general bibliometric approach and content analysis using SciMAT. Profesional De La Información, 29(3).
Artículos de investigación Covid-19 / Covid-19 research articles


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