Rickmer Braren
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 1%
- Oncology top 5%
- Molecular Biology
- Biomedical Engineering top 5%
- Co-authors
- Georgios KaissisMarcus R. MakowskiDaniel RückertHuiqing HuErnst J. RummenyDaniel RueckertYung Hae KimFriederike Jungmann
- Topics
- Radiomics and Machine Learning in Medical Imaging (35 papers)Pancreatic and Hepatic Oncology Research (25 papers)MRI in cancer diagnosis (24 papers)
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Rickmer Braren
121 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Radiology, Nuclear Medicine and Imaging 1.2k
- Artificial Intelligence 955
- Oncology 573
- Molecular Biology 571
- Biomedical Engineering 527
Countries citing papers authored by Rickmer Braren
This map shows the geographic impact of Rickmer Braren'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 Rickmer Braren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rickmer Braren more than expected).
Fields of papers citing papers by Rickmer Braren
This network shows the impact of papers produced by Rickmer Braren. 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 Rickmer Braren. The network helps show where Rickmer Braren may publish in the future.
Co-authorship network of co-authors of Rickmer Braren
This figure shows the co-authorship network connecting the top 25 collaborators of Rickmer Braren. A scholar is included among the top collaborators of Rickmer Braren 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 Rickmer Braren. Rickmer Braren 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 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Evaluation and mitigation of the limitations of large language models in clinical decision-makingbreakdown → | 200 |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 10 | |
| 12 | 48 | |
| 13 | 11 | |
| 14 | 51 | |
| 15 | 90 | |
| 16 | 19 | |
| 17 | 22 | |
| 18 | 57 | |
| 19 | 24 | |
| 20 | 48 |
About Rickmer Braren
Rickmer Braren is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 131 papers that have together received 3.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (35 papers), Pancreatic and Hepatic Oncology Research (25 papers) and MRI in cancer diagnosis (24 papers). The work is most often cited by research in Health Informatics (406 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Immunology and Allergy (187 citations). Rickmer Braren has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Georgios Kaissis, Marcus R. Makowski, Daniel Rückert, Huiqing Hu, Ernst J. Rummeny, Daniel Rueckert, Yung Hae Kim, Friederike Jungmann, Alexander Ziller and Jens T. Siveke. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.