Bibliometric Analysis of Articles on Disaster Victim Identification
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    Original Research
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    Bibliometric Analysis of Articles on Disaster Victim Identification

    The Bulletin of Legal Medicine 0;0(0):0-0
    1. Ankara Grup Başkanlığı, Adli Tıp Kurumu, Ankara, Türkiye
    2. Muş Şube Müdürlüğü, Adli Tıp Kurumu, Muş, Türkiye
    3. Hacettepe Üniversitesi Tıp Fakültesi, Adli Tıp Anabilim Dalı, Ankara, Türkiye
    No information available.
    No information available
    Received Date: 04.11.2023
    Accepted Date: 07.03.2024
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    ABSTRACT

    Objective:

    This study, we aimed to determine current study topics and changing dynamics in the field of Disaster Victim Identification by conducting a bibliometric analysis of articles in the international literature.

    Methods:

    Articles containing the keywords “disaster victim identification”, “DVI” and “mass disaster” in their titles and keywords were evaluated in the Web of Science database. The study contained 190 articles which fulfilled the following criteria of being indexed in SCI-E, SSCI, or ESCI, having the research area “medicine legal”, being of document type “article”, and being in English language were included in the study. Software named VOSviewer 1.6.19 was used to analyze and visualize networks.

    Results:

    The initial paper was published in 1971, and the peak year for publications was 2011. Australia conducted the majority of studies with 42 publications. The articles received a total of 2,664 citations over the years, with the highest number of citations occurring in 2021. These articles were published in 15 different journals, with Forensic Science International leading with 55 published articles. When the top 10 most cited articles were examined, it was observed that the studies covered various fields such as genetics, anthropology, radiology and odontology.

    Conclusion:

    This study is the pioneering bibliometric analysis of disaster victim identification articles. By assessing publication characteristics, international collaboration, and co-citation analysis, we’ve shed light on the latest research trends in this field. Consequently, we believe our work offers valuable insights to researchers in forensic medicine and forensic sciences.

    Keywords: Forensic medicine, bibliometric analysis, disaster victim identification

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