Carmen van Dooijeweert
- Oncology
- Artificial Intelligence top 10%
- Cancer Research
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- P. J. van DiestElsken van der WallIvette A.G. DeckersIan O. EllisStefan M. WillemsBritt B.M. SuelmannLucy OverbeekChantal C. H. J. Kuijpers
- Topics
- AI in cancer detection (11 papers)Breast Cancer Treatment Studies (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Carmen van Dooijeweert
26 papers receiving 299 citations
Peers
Comparison fields: 5 of 53
- Oncology 131
- Artificial Intelligence 116
- Cancer Research 105
- Radiology, Nuclear Medicine and Imaging 99
- Pulmonary and Respiratory Medicine 65
Countries citing papers authored by Carmen van Dooijeweert
This map shows the geographic impact of Carmen van Dooijeweert'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 Carmen van Dooijeweert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen van Dooijeweert more than expected).
Fields of papers citing papers by Carmen van Dooijeweert
This network shows the impact of papers produced by Carmen van Dooijeweert. 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 Carmen van Dooijeweert. The network helps show where Carmen van Dooijeweert may publish in the future.
Co-authorship network of co-authors of Carmen van Dooijeweert
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen van Dooijeweert. A scholar is included among the top collaborators of Carmen van Dooijeweert 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 Carmen van Dooijeweert. Carmen van Dooijeweert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 46 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 19 | |
| 19 | Chemotherapy-induced febrile neutropenia: primary G-CSF prophylaxis indicated during docetaxel cycles. | 3 |
| 20 | 26 |
About Carmen van Dooijeweert
Carmen van Dooijeweert is a scholar working on Health Informatics, Cancer Research and Oncology, having authored 29 papers that have together received 304 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Breast Cancer Treatment Studies (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Health Informatics (23 citations), Cancer Research (105 citations) and Oncology (131 citations). Carmen van Dooijeweert has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include P. J. van Diest, Elsken van der Wall, Ivette A.G. Deckers, Ian O. Ellis, Stefan M. Willems, Britt B.M. Suelmann, Lucy Overbeek, Chantal C. H. J. Kuijpers, Inge O. Baas and Sabine C. Linn. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and International Journal of Cancer.
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.