Alessa Hering
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Artificial Intelligence
- Neurology
- Co-authors
- Stefan HeldmannThomas EigentlerMattias P. HeinrichSergios GatidisJan Hendrik MoltzKonstantin NikolaouAhmed E. OthmanSaif Afat
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)Advanced X-ray and CT Imaging (8 papers)Medical Imaging Techniques and Applications (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingHealth Informatics
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Alessa Hering
15 papers receiving 153 citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 88
- Radiology, Nuclear Medicine and Imaging 79
- Biomedical Engineering 43
- Artificial Intelligence 26
- Neurology 18
Countries citing papers authored by Alessa Hering
This map shows the geographic impact of Alessa Hering'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 Alessa Hering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessa Hering more than expected).
Fields of papers citing papers by Alessa Hering
This network shows the impact of papers produced by Alessa Hering. 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 Alessa Hering. The network helps show where Alessa Hering may publish in the future.
Co-authorship network of co-authors of Alessa Hering
This figure shows the co-authorship network connecting the top 25 collaborators of Alessa Hering. A scholar is included among the top collaborators of Alessa Hering 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 Alessa Hering. Alessa Hering is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learningbreakdown → | 97 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies | 5 |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 11 | |
| 17 | 9 | |
| 18 | 1 |
About Alessa Hering
Alessa Hering is a scholar working on Archeology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 18 papers that have together received 156 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced X-ray and CT Imaging (8 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (88 citations), Radiology, Nuclear Medicine and Imaging (79 citations) and Health Informatics (3 citations). Alessa Hering has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Stefan Heldmann, Thomas Eigentler, Mattias P. Heinrich, Sergios Gatidis, Jan Hendrik Moltz, Konstantin Nikolaou, Ahmed E. Othman, Saif Afat, Bram van Ginneken and Andreas Brendlin. Their work appears in journals such as Medical Physics, Medical Image Analysis and European Radiology.
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.