Sascha Seifert
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Surgery
- Co-authors
- Dorin ComaniciuAlexander CavallaroMichael SuehlingJohannes FeulnerMartin HuberThomas GreinerS. Kevin ZhouB. Michael Kelm
- Topics
- Medical Image Segmentation Techniques (5 papers)Flexible and Reconfigurable Manufacturing Systems (3 papers)Medical Imaging and Analysis (3 papers)
- Cited by
- Oral SurgeryComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Industrial InformaticsMedical Image AnalysisLecture notes in computer science
- Partner nations
- GermanyUnited States
In The Last Decade
Sascha Seifert
15 papers receiving 293 citations
Peers
Comparison fields: 5 of 54
- Biomedical Engineering 132
- Computer Vision and Pattern Recognition 110
- Radiology, Nuclear Medicine and Imaging 68
- Artificial Intelligence 66
- Surgery 60
Countries citing papers authored by Sascha Seifert
This map shows the geographic impact of Sascha Seifert'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 Sascha Seifert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Seifert more than expected).
Fields of papers citing papers by Sascha Seifert
This network shows the impact of papers produced by Sascha Seifert. 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 Sascha Seifert. The network helps show where Sascha Seifert may publish in the future.
Co-authorship network of co-authors of Sascha Seifert
This figure shows the co-authorship network connecting the top 25 collaborators of Sascha Seifert. A scholar is included among the top collaborators of Sascha Seifert 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 Sascha Seifert. Sascha Seifert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 75 | |
| 9 | Generische Datenintegration zur semantischen Diagnoseunterstützung im Projekt THESEUS MEDICO. | 2 |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 32 | |
| 13 | 15 | |
| 14 | 91 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | An automatic robust meshing algorithm for soft tissue modeling. | 0 |
| 18 | 1 | |
| 19 | 3 |
About Sascha Seifert
Sascha Seifert is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 301 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Oral Surgery (51 citations), Computer Vision and Pattern Recognition (110 citations) and Industrial and Manufacturing Engineering (37 citations). Sascha Seifert has collaborated with scholars based in Germany and United States. Frequent co-authors include Dorin Comaniciu, Alexander Cavallaro, Michael Suehling, Johannes Feulner, Martin Huber, Thomas Greiner, S. Kevin Zhou, B. Michael Kelm, S. Kevin Zhou and Yefeng Zheng. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Medical Image Analysis and Lecture notes in computer science.
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.