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Bibliometric Analysis of Forensic Human Remains Identification Literature from 1991 to 2022.
Ma, Ji-Wei; Huang, Ping; Zhang, Ji; Yu, Hai-Xing; Cao, Yong-Jie; Yang, Xiao-Tong; Xiong, Jian; Zhang, Huai-Han; Cang, Yong; Shi, Ge-Fei; Chen, Li-Qin.
Afiliação
  • Ma JW; Department of Forensic Medicine, Inner Mongolia Medical University, Hohhot 010030, China.
  • Huang P; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Zhang J; Institute of Forensic Science, Fudan University, Shanghai 200032, China.
  • Yu HX; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Cao YJ; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Yang XT; School of Forensic Medicine, Xi'an Jiaotong University, Xi'an 710061, China.
  • Xiong J; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Zhang HH; Department of Forensic Medicine, Nanjing Medical University, Nanjing 211166, China.
  • Cang Y; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
  • Shi GF; School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China.
  • Chen LQ; Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
Fa Yi Xue Za Zhi ; 40(3): 245-253, 2024 Jun 25.
Article em En, Zh | MEDLINE | ID: mdl-39166305
ABSTRACT

OBJECTIVES:

To describe the current state of research and future research hotspots through a metrological analysis of the literature in the field of forensic anthropological remains identification research.

METHODS:

The data retrieved and extracted from the Web of Science Core Collection (WoSCC), the core database of the Web of Science information service platform (hereinafter referred to as "WoS"), was used to analyze the trends and topic changes in research on forensic identification of human remains from 1991 to 2022. Network visualisation of publication trends, countries (regions), institutions, authors and topics related to the identification of remains in forensic anthropology was analysed using python 3.9.2 and Gephi 0.10.

RESULTS:

A total of 873 papers written in English in the field of forensic anthropological remains identification research were obtained. The journal with the largest number of publications was Forensic Science International (164 articles). The country (region) with the largest number of published papers was China (90 articles). Katholieke Univ Leuven (Netherlands, 21 articles) was the institution with the largest number of publications. Topic analysis revealed that the focus of forensic anthropological remains identification research was sex estimation and age estimation, and the most commonly studied remains were teeth.

CONCLUSIONS:

The volume of publications in the field of forensic anthropological remains identification research has a distinct phasing. However, the scope of both international and domestic collaborations remains limited. Traditionally, human remains identification has primarily relied on key areas such as the pelvis, skull, and teeth. Looking ahead, future research will likely focus on the more accurate and efficient identification of multiple skeletal remains through the use of machine learning and deep learning techniques.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bibliometria / Antropologia Forense / Restos Mortais Idioma: En / Zh Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bibliometria / Antropologia Forense / Restos Mortais Idioma: En / Zh Ano de publicação: 2024 Tipo de documento: Article