Artículo

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

Resumen

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.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
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