Aurélie Fernandez
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Cancer Research
- Co-authors
- Sebastian FoerschWilfried RothAnn-Christin WoerlDaniel‐Christoph WagnerMarkus EcksteinArndt HartmannPhilipp StenzelStefan Schulz
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)AI in cancer detection (3 papers)Colorectal Cancer Screening and Detection (3 papers)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Aurélie Fernandez
8 papers receiving 345 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Radiology, Nuclear Medicine and Imaging 181
- Artificial Intelligence 151
- Oncology 119
- Pulmonary and Respiratory Medicine 85
- Cancer Research 64
Countries citing papers authored by Aurélie Fernandez
This map shows the geographic impact of Aurélie Fernandez'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 Aurélie Fernandez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélie Fernandez more than expected).
Fields of papers citing papers by Aurélie Fernandez
This network shows the impact of papers produced by Aurélie Fernandez. 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 Aurélie Fernandez. The network helps show where Aurélie Fernandez may publish in the future.
Co-authorship network of co-authors of Aurélie Fernandez
This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Fernandez. A scholar is included among the top collaborators of Aurélie Fernandez 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 Aurélie Fernandez. Aurélie Fernandez 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 | 2 | |
| 3 | Multistain deep learning for prediction of prognosis and therapy response in colorectal cancerbreakdown → | 141 |
| 4 | 12 | |
| 5 | 62 | |
| 6 | 111 | |
| 7 | 1 | |
| 8 | 21 |
About Aurélie Fernandez
Aurélie Fernandez is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 8 papers that have together received 353 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Health Informatics (33 citations), Radiology, Nuclear Medicine and Imaging (181 citations) and Artificial Intelligence (151 citations). Aurélie Fernandez has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Sebastian Foersch, Wilfried Roth, Ann-Christin Woerl, Daniel‐Christoph Wagner, Markus Eckstein, Arndt Hartmann, Philipp Stenzel, Stefan Schulz, Christina Glasner and A. Heintz. Their work appears in journals such as Nature Medicine, European Urology and Oncotarget.
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.