Bibliometric Analysis of Computational and Mathematical Models of Innovation and Technology in Business

Abstract

There is consensus, both in academia and in the business world, that one of the main resources of a company is the incorporation of technology and, along with this, its capacity to generate innovation. Therefore, knowing the development of a company’s research becomes essential. The aim of this work is to develop a bibliometric analysis of the literature published in the Web of Science database to analyze the advances and trends in the development of research. The methodology analyzed bibliometric quantity and quality indicators using Bibliometrix, VOSviewer, and SciMAT software. The results show the evolution of the topic as well as recognition of the different lines along which research has organized the debate.

Tracking Happiness in Times of COVID-19: A Bibliometric Exploration

“…The methodology employed in the study involves the analysis of three primary types of indicators, which are activity indicators, quality indicators, and relationship indicators. This approach is consistent with the framework outlined by Castillo-Vergara et al [80]. The inclusion of these indicators allows for a comprehensive assessment of the research, encompassing both quantitative and qualitative aspects of the study.…”

“…The inclusion of these indicators allows for a comprehensive assessment of the research, encompassing both quantitative and qualitative aspects of the study. Activity indicators include the number of countries, journals, papers, and authors and are mainly used for productivity measurement [80,81]. Quality indicators refer to the impact factor, H-index, total number of citations, and average article citations per year [80], while relationship indicators deal with co-citations and co-authorship [80,81].…”

Quantifying Neutrosophic Research: A Bibliometric Study

“…A detailed presentation of each step is shown in Table 1. As for the second part, related to dataset analysis, several works from the field of bibliometrics [21][22][23][24][25][26] were considered and, as a result, the analysis was divided into six main steps: dataset overview, source analysis, author analysis, paper analysis, word analysis, and a mixed analysis.…”