Artículo

A Bibliometric Review about Adaptivity

Resumen

The last decades adaptivity has become an increasingly popular feature within the technological arena and academic publications related to this subject appear more frequently. This article reviews the research on adaptivity in both, technological and broader academic arena, by conducting a bibliometric review of the available academic literature related to the subject. By using bibliometric indexes the results found here can be replicated, complemented and extended in a systematic way, incrementing its utility. The study examines the growth pattern of research in adaptivity, and identifies its top areas; types of publications; and contributing countries and organizations. The review also revealed the value for some of the parameters needed to develop more specialized analysis in adaptivity, such as: scope, timespan, search space and databases. Finally, we propose several analysis to be performed in future works to complement the previous results. This work is, to our knowledge, the first bibliometric review conducted for the subject matter of adaptive behavior.
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
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