Martin Urschler
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Archeology top 0.5%
- Co-authors
- Horst BischofDarko ŠternChristian PayerMichael PfeifferPhilipp KainzMichael DonoserMartin HirzerThomas Ebner
- Topics
- Forensic Anthropology and Bioarchaeology Studies (17 papers)Medical Image Segmentation Techniques (16 papers)Medical Imaging and Analysis (14 papers)
- Journals
- BioinformaticsPLoS ONENeuroImage
- Partner nations
- AustriaGermanyNew Zealand
In The Last Decade
Martin Urschler
79 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 890
- Radiology, Nuclear Medicine and Imaging 789
- Artificial Intelligence 652
- Biomedical Engineering 476
- Archeology 348
Countries citing papers authored by Martin Urschler
This map shows the geographic impact of Martin Urschler'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 Martin Urschler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Urschler more than expected).
Fields of papers citing papers by Martin Urschler
This network shows the impact of papers produced by Martin Urschler. 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 Martin Urschler. The network helps show where Martin Urschler may publish in the future.
Co-authorship network of co-authors of Martin Urschler
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Urschler. A scholar is included among the top collaborators of Martin Urschler 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 Martin Urschler. Martin Urschler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 29 | |
| 8 | 8 | |
| 9 | 21 | |
| 10 | 13 | |
| 11 | 54 | |
| 12 | 22 | |
| 13 | 12 | |
| 14 | 16 | |
| 15 | Gland segmentation in colon histology images: The glas challenge contestbreakdown → | 570 |
| 16 | 6 | |
| 17 | Automatic third molar localization from 3D MRI using random regression forests | 2 |
| 18 | 26 | |
| 19 | 44 | |
| 20 | Automatic glottis segmentation from laryngeal high-speed videos using 3D active contours | 9 |
About Martin Urschler
Martin Urschler is a scholar working on Computer Vision and Pattern Recognition, Archeology and Oral Surgery, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Forensic Anthropology and Bioarchaeology Studies (17 papers), Medical Image Segmentation Techniques (16 papers) and Medical Imaging and Analysis (14 papers). The work is most often cited by research in Health Informatics (70 citations), Computer Vision and Pattern Recognition (890 citations) and Oral Surgery (307 citations). Martin Urschler has collaborated with scholars based in Austria, Germany and New Zealand. Frequent co-authors include Horst Bischof, Darko Štern, Christian Payer, Michael Pfeiffer, Philipp Kainz, Michael Donoser, Martin Hirzer, Thomas Ebner, David Snead and Elia Bruni. Their work appears in journals such as Bioinformatics, PLoS ONE and NeuroImage.
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.