Artículo

Organizational communication: a bibliometric analysis from 2005 to 2020

Resumen

The objective of this article is to perform a systematic review about Organizational Communication from 2005 to 2020, therefore, it is carried out a bibliometric analysis of nets and co-citations of documents published in WoS and Scopus. It uses the tree analogy to separate the documents in: 1. “roots”: the documents located in this section are the intellectual base of a knowledge field, 2. “trunk”: the structural documents and finally 3. “leaves”: the most recent documents that have cited the authors located in “roots” and “trunk”. Thanks to this scheme it is facilitated the visualization and subsequent analysis of the documents. It should be emphasized that in the process of Organizational Communication review there are some data that complement this article: scientific production by years, scientific production by countries, most cited authors, and sources with the highest number of publications and their relevance. Findings evidence the usefulness of tree analogy to express the epistemological evolution of OC through the years. In addition, the used methodology presents considerable opportunities for creation of bibliometric analysis, which has applications in different knowledge scientific fields.
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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