Forensic Investigation and Autopsy

Deadline for manuscript submissions: 31 December 2026.

Guest Editor (1)

Jarosław  Berent
Prof. Dr. Jarosław Berent 
Department of Forensic Medicine, Medical University of Lodz, 91-304 Lodz, Poland
Interests: Forensic Medicine; Forensic Pathology; Forensic Toxicology

Special Issue Information

Medicolegal death investigation consisting of forensic investigation and autopsy remains an important issue not only in scientific, but above all in practical terms. Therefore, we would like to tackle the topic of Forensic Investigation and Autopsy to show that this is still a living field in which research is constantly being conducted and which has enormous practical significance. An example of such a research area, where we are already seeing huge advances, is modern imaging technologies such as computed tomography and magnetic resonance imaging, which allow non-invasive internal examinations providing detailed 3D insights into the body without or before traditional autopsies. Thanks to 3D techniques, we can not only look inside the body, but also place it at the scene of the crime, which together allows for a comprehensive assessment of the cause, manner, and circumstances of death. On the other hand, developments that provide an opportunity for advances are artificial intelligence and machine learning. These technologies are very promising, for example, in the area of forensic histopathology, to assist in analysing postmortem tissue samples and improve the identification of microscopic changes. But they can also be useful for analysing macroscopic images at the site where the body was found. Perhaps these practices will become commonplace in the near future due to the shortage of qualified forensic scientists. There are of course more examples of such areas worth exploring, e.g., mobile apps for scene investigation that help document and record information at the scene in real time, international collaboration and standards or virtual reality technologies providing immersive training experiences, and many more.

These techniques can make investigations more accurate and efficient. Therefore, we invite submissions of reviews, original articles, and case reports on this area of forensic practice to our Special Issue.

Published Papers (1 Papers)

Open Access

Article

08 October 2026

Dermatoglyphics in Forensic Science: A Bibliometric Analysis from 1976 to 2025

Dermatoglyphics traits—including fingerprints, palmprints, and footprints—are highly specific biometric markers that serve as critical evidence for individual identification in criminal investigations. To map the intellectual trajectory of this field, we conducted a bibliometric analysis of 796 publications indexed in the Web of Science Core Collection from 1976 to 2025. Since its emergence, research output has grown substantially. While India leads in total publications (207) and citations (3579)—largely driven by highly productive institutions such as Tumkur University and Jain University—the United States maintains the highest average citations per paper (36.8). Forensic Science International and the Journal of Forensic Sciences remain the core publishing venues. Notably, A. Jain’s 1997 work on automated fingerprint recognition remains the field’s most impactful publication, while N. Hanumanthappa has emerged as the most prolific and highly cited contemporary author. Keyword analysis reveals a distinct paradigm shift: early research focused on foundational identification principles, whereas recent hotspots center on dermatoglyphics feature extraction, algorithmic optimization, and the application of novel fluorescent nanomaterials for latent fingerprint visualization. This multidisciplinary evolution highlights an urgent paradigm shift: future advancements must bridge the translational gap between laboratory innovation and practical forensic demands by improving the transparency and judicial reliability of AI-assisted fingerprint analysis, establishing standardized evaluation systems for novel nanomaterials, and ensuring analytical compatibility with downstream genomic and multi-omics workflows.

Zhiqi Hua
Jiao Luo
Ji Chen
Qi Yang
Qi Wei
Sitong Liu
Jinxi Li
Chengtao Li
Ranran Zhang*
Suhua Zhang*
Perspect. Legal Forensic Sci.
2026,
3
(2), 10010; 
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