Stefanie Demirci
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Nassir NavabShadi AlbarqouniFelix AchillesVasileios BelagiannisChristoph BaurMaximilian BaustSimone BaloccoGuillaume Zahnd
- Topics
- Medical Image Segmentation Techniques (9 papers)Cerebrovascular and Carotid Artery Diseases (7 papers)Aortic aneurysm repair treatments (5 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Stefanie Demirci
22 papers receiving 701 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 347
- Computer Vision and Pattern Recognition 268
- Radiology, Nuclear Medicine and Imaging 268
- Biomedical Engineering 129
- Pulmonary and Respiratory Medicine 106
Countries citing papers authored by Stefanie Demirci
This map shows the geographic impact of Stefanie Demirci'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 Stefanie Demirci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefanie Demirci more than expected).
Fields of papers citing papers by Stefanie Demirci
This network shows the impact of papers produced by Stefanie Demirci. 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 Stefanie Demirci. The network helps show where Stefanie Demirci may publish in the future.
Co-authorship network of co-authors of Stefanie Demirci
This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie Demirci. A scholar is included among the top collaborators of Stefanie Demirci 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 Stefanie Demirci. Stefanie Demirci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 8 | |
| 3 | 35 | |
| 4 | 1 | |
| 5 | 66 | |
| 6 | 31 | |
| 7 | Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting | 12 |
| 8 | 32 | |
| 9 | 5 | |
| 10 | AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Imagesbreakdown → | 401 |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 19 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 12 |
About Stefanie Demirci
Stefanie Demirci is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 718 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Aortic aneurysm repair treatments (5 papers). The work is most often cited by research in Health Informatics (26 citations), Computer Vision and Pattern Recognition (268 citations) and Radiology, Nuclear Medicine and Imaging (268 citations). Stefanie Demirci has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Nassir Navab, Shadi Albarqouni, Felix Achilles, Vasileios Belagiannis, Christoph Baur, Maximilian Baust, Simone Balocco, Guillaume Zahnd, Diana Mateus and Luc Duong. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics and Medical Image Analysis.
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.