Till Sieberth

686 total citations
35 papers, 451 citations indexed

About

Till Sieberth is a scholar working on Radiology, Nuclear Medicine and Imaging, Archeology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Till Sieberth has authored 35 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Archeology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Till Sieberth's work include Autopsy Techniques and Outcomes (23 papers), Forensic Anthropology and Bioarchaeology Studies (19 papers) and Remote Sensing and LiDAR Applications (6 papers). Till Sieberth is often cited by papers focused on Autopsy Techniques and Outcomes (23 papers), Forensic Anthropology and Bioarchaeology Studies (19 papers) and Remote Sensing and LiDAR Applications (6 papers). Till Sieberth collaborates with scholars based in Switzerland, United Kingdom and Germany. Till Sieberth's co-authors include Lars Ebert, Rene Wackrow, Jim H. Chandler, Akos Dobay, Michael J. Thali, Sabine Franckenberg, Garyfalia Ampanozi, Wolf Schweitzer, Jonathan Ford and Summer Decker and has published in prestigious journals such as SHILAP Revista de lepidopterología, ISPRS Journal of Photogrammetry and Remote Sensing and Forensic Science International.

In The Last Decade

Till Sieberth

31 papers receiving 436 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Till Sieberth Switzerland 14 180 123 120 114 77 35 451
Silvio Naether Switzerland 10 449 2.5× 73 0.6× 335 2.8× 82 0.7× 52 0.7× 12 673
Marco Trebeschi Italy 5 32 0.2× 284 2.3× 39 0.3× 217 1.9× 69 0.9× 8 500
Mansharan Kaur Chainchel Singh Malaysia 6 54 0.3× 73 0.6× 35 0.3× 17 0.1× 19 0.2× 19 348
Sylvie Treuillet France 13 65 0.4× 149 1.2× 18 0.1× 43 0.4× 7 0.1× 39 477
Lay See Khoo Malaysia 7 19 0.1× 74 0.6× 30 0.3× 17 0.1× 19 0.2× 16 344
Gianfranco Bianco Italy 10 38 0.2× 292 2.4× 48 0.4× 132 1.2× 38 0.5× 24 527
Benjamin C. Smith United States 10 74 0.4× 119 1.0× 5 0.0× 100 0.9× 45 0.6× 41 387
Andrew Willis United States 15 28 0.2× 311 2.5× 25 0.2× 198 1.7× 19 0.2× 57 571
Albert K. Chong Australia 12 14 0.1× 138 1.1× 14 0.1× 149 1.3× 146 1.9× 90 560

Countries citing papers authored by Till Sieberth

Since Specialization
Citations

This map shows the geographic impact of Till Sieberth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Till Sieberth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Till Sieberth more than expected).

Fields of papers citing papers by Till Sieberth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Till Sieberth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Till Sieberth. The network helps show where Till Sieberth may publish in the future.

Co-authorship network of co-authors of Till Sieberth

This figure shows the co-authorship network connecting the top 25 collaborators of Till Sieberth. A scholar is included among the top collaborators of Till Sieberth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Till Sieberth. Till Sieberth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sieberth, Till, et al.. (2024). Cost-effective 3D documentation device in forensic medicine. Forensic Science International. 357. 112005–112005.
2.
Franckenberg, Sabine, et al.. (2023). Technical note: Semiautomated targeted postmortem computed tomography angiography of the pulmonary arteries using a robotic system. Forensic Science International. 348. 111712–111712. 3 indexed citations
3.
Sieberth, Till, et al.. (2023). Automated wound segmentation and classification of seven common injuries in forensic medicine. Forensic Science Medicine and Pathology. 20(2). 443–451. 6 indexed citations
4.
Dobay, Akos, et al.. (2023). Augmented reality in forensics and forensic medicine – Current status and future prospects. Science & Justice. 63(4). 451–455. 7 indexed citations
5.
Sieberth, Till, et al.. (2023). Identification parade in immersive virtual reality - A technical setup. Forensic Science International. 348. 111602–111602. 2 indexed citations
6.
Ampanozi, Garyfalia, et al.. (2022). Forensic examination of living persons in 3D models. Forensic Science International. 335. 111286–111286. 6 indexed citations
7.
Sieberth, Till, et al.. (2021). The forensic holodeck – Recommendations after 8 years of experience for additional equipment to document VR applications. Forensic Science International. 329. 111092–111092. 10 indexed citations
8.
Ebert, Lars, et al.. (2021). Comparison of superficial wound documentation using 2D forensic photography, 3D photogrammetry, Botscan© and VR with real-life examination. Forensic Science Medicine and Pathology. 17(3). 422–430. 7 indexed citations
9.
Rawdon, Eric J., Garyfalia Ampanozi, Sabine Franckenberg, et al.. (2021). RiFNet: Automated rib fracture detection in postmortem computed tomography. Forensic Science Medicine and Pathology. 18(1). 20–29. 15 indexed citations
10.
Ebert, Lars, Sabine Franckenberg, Till Sieberth, et al.. (2021). A review of visualization techniques of post-mortem computed tomography data for forensic death investigations. International Journal of Legal Medicine. 135(5). 1855–1867. 30 indexed citations
11.
Ebert, Lars, et al.. (2021). An algorithm for automatically generating gas, bone and foreign body visualizations from postmortem computed tomography data. Forensic Science Medicine and Pathology. 17(2). 254–261. 1 indexed citations
12.
Dobay, Akos, Jonathan Ford, Summer Decker, et al.. (2020). Potential use of deep learning techniques for postmortem imaging. Forensic Science Medicine and Pathology. 16(4). 671–679. 22 indexed citations
13.
Sieberth, Till, et al.. (2019). A toolbox for the rapid prototyping of crime scene reconstructions in virtual reality. Forensic Science International. 305. 110006–110006. 14 indexed citations
14.
Obertová, Zuzana, et al.. (2019). 3D mug shot—3D head models from photogrammetry for forensic identification. Forensic Science International. 300. 6–12. 24 indexed citations
15.
Ebert, Lars, et al.. (2018). Using virtual reality for forensic examinations of injuries. Forensic Science International. 295. 30–35. 31 indexed citations
16.
Kaufmann, R., et al.. (2018). Differentiation of dental restorative materials combining energy-dispersive X-ray fluorescence spectroscopy and post-mortem CT. Forensic Science Medicine and Pathology. 14(2). 163–173. 6 indexed citations
17.
Ebert, Lars, et al.. (2018). Comparison of forensic photo-documentation to a photogrammetric solution using the multi-camera system “Botscan”. Forensic Science International. 288. 46–52. 29 indexed citations
18.
Sieberth, Till, et al.. (2018). Applying virtual reality in forensics – a virtual scene walkthrough. Forensic Science Medicine and Pathology. 15(1). 41–47. 27 indexed citations
19.
Braun, Marcel, et al.. (2017). Simulation of mirror surfaces for virtual estimation of visibility lines for 3D motor vehicle collision reconstruction. Forensic Science International. 279. 106–111. 9 indexed citations
20.
Ebert, Lars, Jakob Heimer, Wolf Schweitzer, et al.. (2017). Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study. Forensic Science Medicine and Pathology. 13(4). 426–431. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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