Mapping the Evolutionary Characteristics of Global Research Related to Technical Communication: A Scientometric Review

Abstract

Purpose: Technical communication (TC) is an emerging topic which has received attention in both the field of language studies and among the technical profession in the last few decades. In this article, a scientometric review of academic publications to explore the intellectual landscape and evolutionary characteristics of TC research worldwide between 2001 and 2020 is conducted. Methods: Visualization software was employed to analyze co-citation and co-word networks from 2,183 articles published in Web of Science and Scopus databases from 2001 to 2020. Results: The findings indicate that TC research has increased in recent years and has been done in the English language departments and technology departments in recent years. Then, five clusters form the intellectual structure of TC research: translation training, methodologies in TC, composition studies, rhetorical action, and the industry's needs. Finally, the findings indicated there were paradigm shifts in the field of TC. Further, the evolution analysis has shown that the current trends of TC research is now focused on TC pedagogy, a global TC, human-computer interaction, and language learning and training. Conclusion: This review provides reliable information for academics and practitioners to identify the knowledge base, the evolutionary process, and the emerging trends in the TC field from visualized maps. This review can serve as a prelude for future TC research and can provide a guide for the TC skills required among professionals in the future.

Exploring Multilingualism in Professional Context: Scientometric Analysis

“…This paper highlights the issues related to the concept of professional multilingualism on the workplace based on that need to be considered in developing and implementing corporate language policies. As noted by researchers [15,16], the Scientometric overview provides scholars and practitioners with reliable information to identify the knowledge base, evolutionary process, and new trends in a particular area using visualized maps, as well as gives the basis and impetus for future research in a particular field. Bibliometric methods use bibliographic data from online databases [17], which can provide a systematic report that complements existing descriptive reviews and contributes to metadisciplinary knowledge in a certain area, identifying the main areas of research, main research and development trends over the years [18].…”