Artículo

Scientific production on the use of ICT as a tool for social inclusion for deaf people: a bibliometric analysis

Resumen

this article presents a bibliometric analysis on the scientific production related to the use of Information and Communication Technologies (ICT) as a tool for the social inclusion of deaf people. Objective: the objective of this study is to identify the trends and patterns of scientific production in this field of research, as well as to determine the most relevant countries, authors and publication sources. Methods: a systematic search was carried out in Scopus, using the keyword “deaf” combined with “worker” in the area of computing. 140 scientific publications that met the inclusion criteria were selected. Results: the results of the bibliometric analysis show a significant increase in the number of publications related to the use of ICT as a tool for social inclusion for deaf people from the year 2008. In addition, six countries responsible for 56 % of the production were identified. science: United States, India, United Kingdom, Brazil, Japan and Spain. The most published author is Bigham Jeffrey P., affiliated with Carnegie Mellon University. The universities with the highest affiliation in the publications are Carnegie Mellon and Rochester Institute of Technology. Conclusions: this bibliometric analysis reveals a growing interest in the use of ICT as a tool for social inclusion for deaf people, and provides valuable information on the most relevant countries, authors and publication sources in the study area. The results suggest the need to continue research in this area and promote international collaboration to advance the social inclusion of deaf people.
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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