Artículo

Exploring research on ecotechnology through artificial intelligence and bibliometric maps

Resumen

Ecotechnology, quintessential for crafting sustainable socio-environmental strategies, remains tantalizingly uncharted. Our analysis, steered by the nuances of machine learning and augmented by bibliometric insights, delineates the expansive terrain of this domain, elucidates pivotal research themes and conundrums, and discerns the vanguard nations in this field. Furthermore, we deftly connect our discoveries to the United Nations’ 2030 Sustainable Development Goals, thereby accentuating the profound societal ramifications of ecotechnology.
Ruiz-Sánchez, Ricardo (58862693100); Arencibia-Jorge, Ricardo (22933392400); Tagüeña, Julia (58489969500); Jiménez-Andrade, José Luis (57194163017); Carrillo-Calvet, Humberto (21233675900)
Exploring research on ecotechnology through artificial intelligence and bibliometric maps
2024
10.1016/j.ese.2023.100386
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184018950&doi=10.1016%2fj.ese.2023.100386&partnerID=40&md5=c402341f63a4c721e5dd59703f40ac54
Unidad Profesional Interdisciplinaria de Ingeniería Palenque (UPIIP), Instituto Politécnico Nacional, Chiapas, Palenque, CP 29960, Mexico; Complexity Sciences Center, National Autonomous University of Mexico, Circuito Centro Cultural s/n, Coyoacan, Mexico City, 04510, Mexico; Institute of Renewable Energies (IER), National Autonomous University of Mexico, Priv. Xochicalco s/n, Col. Centro, Temixco, Morelos, CP 62580, Mexico; Faculty of Sciences, National Autonomous University of Mexico, Circuito Centro Cultural s/n, Coyoacan, Mexico City, 04510, Mexico
All Open Access; Gold Open Access; Green Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio