A scientometric assessment of research productivity on Child Maltreatment from Web of Science database

Objective: This study examines the research productivity on child maltreatment across the globe from 2012 to 2021. Furthermore, we employed scientometric statistic measurements to analysis of child maltreatment productivity. Method: The scientometric qualitative method was used for this study, and the required data was retrieved from the Web of Science database. Results: In this study, the authors have taken the Web of Science database as the data source. The keyword Child Maltreatment has used for extracting the required data for this analysis. The retrieved data was analyzed using VOSviewer and Bibexcel software. A total of 4661 documents were retrieved for this study. The study shows that the average citation per paper and publication efficiency index increased from 2012 to 2021. Similarly, the degree of collaboration was observed to be an upward trend in 2021. The collaborative co-efficiency index and modified collaborative co-efficiency index values were observed in the growing trend in 2021. The most productive author in the study was Cicchetti D, who has published 66 (0.56%) documents. Conclusions: This study has evaluated the growth and trend of child maltreatment productivity across the globe from 2012 to 2021. It has shown that constant growth in the selected period. It has provided an understanding of child maltreatment publications.

Authors

Institutions

Publication Details

Journal
Encontros Bibli Revista Eletrônica de Biblioteconomia e Ciência da Informação
Published
2024-12-18
DOI
https://doi.org/10.5007/1518-2924.2025.e101446
Primary Topic
Child Abuse and Trauma
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A scientometric assessment of research productivity on Child Maltreatment from Web of Science database

Gomathi Palanisamy, Dinakaran Munnu
Encontros Bibli Revista Eletrônica de Biblioteconomia e Ciência da Informação
Child Abuse and Trauma
article

A scientometric assessment of research productivity on Child Maltreatment from Web of Science database

Gomathi Palanisamy, Dinakaran Munnu
article en

Abstract

Objective: This study examines the research productivity on child maltreatment across the globe from 2012 to 2021. Furthermore, we employed scientometric statistic measurements to analysis of child maltreatment productivity. Method: The scientometric qualitative method was used for this study, and the required data was retrieved from the Web of Science database. Results: In this study, the authors have taken the Web of Science database as the data source. The keyword Child Maltreatment has used for extracting the required data for this analysis. The retrieved data was analyzed using VOSviewer and Bibexcel software. A total of 4661 documents were retrieved for this study. The study shows that the average citation per paper and publication efficiency index increased from 2012 to 2021. Similarly, the degree of collaboration was observed to be an upward trend in 2021. The collaborative co-efficiency index and modified collaborative co-efficiency index values were observed in the growing trend in 2021. The most productive author in the study was Cicchetti D, who has published 66 (0.56%) documents. Conclusions: This study has evaluated the growth and trend of child maltreatment productivity across the globe from 2012 to 2021. It has shown that constant growth in the selected period. It has provided an understanding of child maltreatment publications.

Encontros Bibli Revista Eletrônica de Biblioteconomia e Ciência da InformaçãoVol. 30
Periyar University (IN)
Openalex Percentile: Top 61%
Child Abuse and Trauma
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.