Julia A. Schnabel
About
In The Last Decade
Julia A. Schnabel
182 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Radiology, Nuclear Medicine and Imaging 2.6k
- Computer Vision and Pattern Recognition 2.1k
- Biomedical Engineering 1.0k
- Artificial Intelligence 673
- Radiation 431
Countries citing papers authored by Julia A. Schnabel
This map shows the geographic impact of Julia A. Schnabel'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 Julia A. Schnabel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia A. Schnabel more than expected).
Fields of papers citing papers by Julia A. Schnabel
This network shows the impact of papers produced by Julia A. Schnabel. 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 Julia A. Schnabel. The network helps show where Julia A. Schnabel may publish in the future.
Co-authorship network of co-authors of Julia A. Schnabel
This figure shows the co-authorship network connecting the top 25 collaborators of Julia A. Schnabel. A scholar is included among the top collaborators of Julia A. Schnabel 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 Julia A. Schnabel. Julia A. Schnabel 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 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 24 | |
| 10 | 14 | |
| 11 | 143 | |
| 12 | 1 | |
| 13 | Artefact detection in video endoscopy using retinanet and focal loss function | 2 |
| 14 | Oversegmenting Graphs | 1 |
| 15 | Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks | 1 |
| 16 | Towards realtime multimodal fusion for image-guided interventions using self-similarities | 6 |
| 17 | Complex lung motion estimation via adaptive bilateral filtering of the deformation field | 1 |
| 18 | Validation of rigid registration of mammographic images | 6 |
| 19 | Non-rigid image registration through efficient discrete optimization. | 5 |
| 20 | Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal data | 2 |
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.