Bibliometric Analysis of Studies on Teacher Resilience

This study aimed to reveal general landscape of research on teacher resilience, employing descriptive and bibliometric analyses. Descriptive analyses were performed utilizing Web of Science's internal system, while bibliometric analyses were executed through the VOSviewer program. Web of Science Core Collection was used as a data source. Citation analyses of publications, authors, and journals, as well as co-authorship, co-citation, and common word analyses were conducted. The research reveals a timeline of publications, indicating a notable surge in 2006, and a substantial increase in 2021. The countries with the highest number of publications on teacher resilience, in descending order, are the United States of America (USA), Australia, the United Kingdom (UK), and the People's Republic of China (PRC), according to the research findings. Authors such as Gu, C. Day, S. Beltman, C. Mansfield, and A. Price emerged from the citation analysis. Based on the results from the co-citation analysis, C. Day and Q. Gu were identified as the most frequently co-cited authors. The co-occurrence analysis of keywords highlighted key terms like resilience, teacher education, early career teachers, teacher candidates, professional learning, school leadership, and COVID-19. The findings were contextualized within the existing literature, leading to recommendations for future research. [This paper was published in: "EJER Congress 2023 International Eurasian Educational Research Congress Conference Proceedings," Ani Publishing, 2023, pp. 591-611.]