Knowledge Mapping of Ethnic Identity and Acculturation Based on the Method of Bibliometric

Abstract

Ethnic identity and acculturation is a multidisciplinary research field. It is not easy for researchers to gain a panoramic view of the knowledge structure in this field. The bibliometric of knowledge mapping provides researchers with a scientific quantitative research method of statistics, description, and prediction of academic status and development trends. The purpose of this study is to help researchers understand the critical knowledge, evolution trend, and research frontier of the current research. Using bibliometrics software Citespace and Bicomb, this study analyzed 1557 bibliographic data in the Web of Science database and found that: 1)the research field development has gone through three stages, and we knew some representative critical scholars and key literature; 2) The literature knowledge mapping co-citation and the co-occurrence of keywords showed the research hot spots; 3) The results of burst detection and central node analysis reveal the research frontier and development trend. The globalization of the world economy has led to the rapid expansion of research objects from immigrants in the United States to the whole world. Meanwhile, there are still many disputes about theoretical models, constructs, and structural dimensions in the research field, which are the directions that future researchers need to study further.

Bridging 50 Years of Theoretical and Applied Cross-Cultural Psychology: Contributions of IACCP and JCCP

“…Among the top 10 most-highly cited authors in this corpus were the cross-cultural psychologists Berry, Ward, Phinney, Hofstede, and Triandis. Shuangyun and Hongxia (2020) performed a simple search of the Web of Science database for “ethnic identity AND acculturation” in the period 1990 to 2020. The most-cited authors in their corpus were the cross-cultural psychologists Berry, Phinney, Schwartz, Ward, and Benet-Martinez.…”

Intercultural Relations Among Guinean Immigrants Living in Portugal: Testing Multiculturalism, Contact, and Integration Hypotheses

“…Cultural identity refers to the immigrants' sense of self, covering both ethnic and national identities. The majority of investigations on migration have only examined ethnic identity (Shuangyun & Hongxia, 2020); notwithstanding that, both identities are important for migrant peoples (Beckett & Kobayashi, 2020;Coulmas, 2019;Fleischmann & Verkuyten, 2016;Phinney, 2003). Substantial ethnic identity affords psychosocial strength and security for migrants (Phinney, 2003;Tran & Bifuth-Ambe, 2021).…”

Trends in Multicultural Education Publication Over a Four-Decade Period: A Bibliometric Review

“…Several studies using bibliometric analysis have been carried out, such as education for sustainability (Côrtes & Rodrigues, 2016), ethnic identity and acculturation (Shuangyun & Hongxia, 2020), intercultural competence (Peng et al, 2020), quality of Islamic education (Elihami, 2021), music education (Morales et al, 2017), educational psychology (Hernández-Torrano & Ho, 2021), civic education (Bozkurt et al, 2021;Palaz, 2021), cultural dimensions (Gu & Gao, 2021), intercultural communication (Ruo-bing, 2009, cultural intelligence, global mindset, and cross-cultural competence (Paiuc, 2021;Yari et al, 2020), interdisciplinary cultural evolution (Youngblood & Lahti, 2018), cross-cultural environmental psychology (Tam & Milfont, 2020), organizational culture (Duarte et al, 2019), multicultural education (Ruíz et al, 2005). In the field of education, several bibliometric analyzes have been carried out such as inclusive education (Comarú et al, 2021), medical education (Sampson et al, 2013), school-based management (Ilham et al, 2021), robot education (Yang et al, 2020), E-Learning (Deti & Mandasari, 2021), values education (Sökmen & Nalçaci, 2020;Supriadi et al, 2022), flipped classroom model in biology learning (Bozdag et al, 2021), mixed learning (Arifin et al, 2021), distance education (Hebebci, 2021), higher vocational education (Abdullah, 2021a), higher education (Brika et al, 2021;Budd, 1988;Hallinger & Chatpinyakoop, 2019;Limaymanta et al, 2021;Raman et al, 2021), intelligent learning (Chen et al, 2021), artificial intelligence in education…”