Till Sieberth

32 papers receiving 473 citations

Peers

Till Sieberth
Comparison fields: 5 of 87
  • Geology 117
  • Health Informatics 19
  • Archeology 122
  • Radiology, Nuclear Medicine and Imaging 184
  • Computer Vision and Pattern Recognition 133
Replace Silvio Naether with:
Silvio Naether Switzerland
Andrew Willis United States
Marco Trebeschi Italy
Sylvie Treuillet France
Mansharan Kaur Chainchel Singh Malaysia
Gianfranco Bianco Italy
Paolo Pingi Italy
Chuanbin Liu China
Albert K. Chong Australia
Till Sieberth relative to Silvio Naether Switzerland Silvio Naether's profile →
Citations per field
00.5×2×2.7×
Silvio Naether · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Till Sieberth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Till Sieberth Line = papers co-authored together Till Sieberth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 201435
3 201834
4 201833
5 201732
6 202130
7 201830
8 202028
9 201925
10 201517
11 201316
12 202115
13 201915
14
INFLUENCE OF BLUR ON FEATURE MATCHING AND A GEOMETRIC APPROACH FOR PHOTOGRAMMETRIC DEBLURRING
201515
15 202112
16 202011
17 201811
18 201710
19 20239
20 20237

About Till Sieberth

Till Sieberth is a scholar working on Radiology, Nuclear Medicine and Imaging, Archeology, Computer Vision and Pattern Recognition, Environmental Engineering and Geology, having authored 37 papers that have together received 488 indexed citations. Recurring topics across this work include Autopsy Techniques and Outcomes (23 papers), Forensic Anthropology and Bioarchaeology Studies (19 papers), Remote Sensing and LiDAR Applications (6 papers), 3D Surveying and Cultural Heritage (5 papers), Advanced Vision and Imaging (5 papers), Paleopathology and ancient diseases (4 papers), Forensic Entomology and Diptera Studies (3 papers) and Restraint-Related Deaths (3 papers). The work is most often cited by research in Geology (117 citations), Health Informatics (19 citations), Archeology (122 citations), Radiology, Nuclear Medicine and Imaging (184 citations) and Computer Vision and Pattern Recognition (133 citations). Till Sieberth has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Lars Ebert, Rene Wackrow, Jim H. Chandler, Akos Dobay, Michael J. Thali, Sabine Franckenberg, Garyfalia Ampanozi, Wolf Schweitzer, Summer Decker and Jonathan Ford. Their work appears in journals such as Forensic Science International, Forensic Science Medicine and Pathology, Science & Justice, ISPRS Journal of Photogrammetry and Remote Sensing and The Photogrammetric Record.

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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