A Bibliometric Analysis of Child Language During 1900–2021

Abstract

This study purposed to provide a bibliometric overview of child language (CL) research from 1900 to 2021 and identify major trends in CL. A total of 48,453 research articles related to the CL were identified from the Web of Science. Co-authorship, co-word, and co-citation analysis was conducted by using VOSviewer and CiteSpace. The following was analyzed: annual distribution of related papers; related disciplines; mainstream journals; geographical and institutional distribution; hot topics; keyword burst detection; and co-citation analysis of journals, authors, and references. Results showed that, under the impact of new empirical methods and new theories, the field of CL is undergoing great changes. Research hotspot and the research trends mainly concentrated on autism spectrum disorder, school readiness, oral language, reading comprehension, exposure, bilingualism, vocabulary, input, skills, kindergarten, cochlear implants, and intervention. More and more pieces of research focus on the individual difference in CL development and the importance of intervention in language education by typically developing children and some children with disabilities or language disorders. Besides, child second language acquisition also attracted a lot of attention. This bibliometric analysis is of great reference significance for researchers to understand the progress and discipline development trend in this field.

Three Decades of Groundwater Drought Research: Evolution and Trends

“…Each defined cluster is represented by a color. Terms with a high frequency and density are represented by brighter characters and nodes [47]. The distance between the nodes represents the degree of thematic similarity between the keywords [48].…”

A Bibliometric Analysis of a Genetic Algorithm for Supply Chain Agility

“…The evolution of publications can also be visualized using the keyword overlay visualization map shown in Figure 4 [130][131][132]. Based on Figure 4, the nodes for pickup, delivery, routing problem, costs, optimization algorithm, heuristic algorithm, search algorithm, emissions, robust optimization, NSGA-II, energy consumption, electric vehicle, machine learning, and variable neighborhood search appear in yellow, signaling their importance in recent years [133].…”

Akıcı Okuma Üzerine Hazırlanmış Çalışmaların Bibliyometrik Özellikler Açısından İncelenmesi

“…Akıcı okuma becerisi bireylerin kişisel, eğitimsel ve profesyonel gelişiminde önemli bir role sahip bir duruma gelmiştir. Bu nedenle, akıcı okuma araştırmaları bu beceriyi daha iyi anlamamıza ve geliştirmemize yardımcı olabilir (Guo, 2022). Toplum olarak, okuma kültürünü geliştirmek, okuma becerilerini daha nitelikli hale getirmek ve bireylerin akıcı okuma becerilerini geliştirmeye teşvik etmek önemlidir.…”

“…Web of Science (WOS), bilimsel araştırma düzeyini yansıtan, dünya çapında tanınan bir veritabanıdır. Bilim alanında en önemli araştırma sonuçlarını sağlayabilen, dünyanın en yetkili bilimsel literatür indeksi aracı olarak kabul edilmiştir (Guo, 2022). Bu nedenle öncelikle WOS veri tabanına giriş yapılarak "reading fluency" akıcı okuma anahtar kelimesiyle arama yapılmıştır.…”