Daniëlle Koopman
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Radiation top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Jorn A. van DalenCornelis H. SlumpPieter L. JagerRonald BoellaardSjoerd RijnsdorpMark LubberinkEric P. VisserCharlotte S. van der Vos
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)Medical Imaging Techniques and Applications (12 papers)Advanced X-ray and CT Imaging (6 papers)
- Journals
- Journal of Nuclear MedicineEuropean Journal of Nuclear Medicine and Molecular ImagingSeminars in Nuclear Medicine
- Partner nations
- NetherlandsAustriaPoland
In The Last Decade
Daniëlle Koopman
13 papers receiving 330 citations
Peers
Comparison fields: 5 of 47
- Radiology, Nuclear Medicine and Imaging 295
- Biomedical Engineering 120
- Radiation 64
- Pulmonary and Respiratory Medicine 59
- Oncology 23
Countries citing papers authored by Daniëlle Koopman
This map shows the geographic impact of Daniëlle Koopman'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 Daniëlle Koopman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniëlle Koopman more than expected).
Fields of papers citing papers by Daniëlle Koopman
This network shows the impact of papers produced by Daniëlle Koopman. 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 Daniëlle Koopman. The network helps show where Daniëlle Koopman may publish in the future.
Co-authorship network of co-authors of Daniëlle Koopman
This figure shows the co-authorship network connecting the top 25 collaborators of Daniëlle Koopman. A scholar is included among the top collaborators of Daniëlle Koopman 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 Daniëlle Koopman. Daniëlle Koopman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 32 | |
| 4 | 15 | |
| 5 | 11 | |
| 6 | 17 | |
| 7 | 12 | |
| 8 | 13 | |
| 9 | 146 | |
| 10 | 22 | |
| 11 | A small voxel FDG-PET/CT reconstruction improves the visual evaluation of axillary lymph nodes in patients with breast cancer | 0 |
| 12 | 35 | |
| 13 | 8 | |
| 14 | 5 |
About Daniëlle Koopman
Daniëlle Koopman is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Cancer Research, having authored 14 papers that have together received 333 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (12 papers) and Advanced X-ray and CT Imaging (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (295 citations), Radiation (64 citations) and Biomedical Engineering (120 citations). Daniëlle Koopman has collaborated with scholars based in Netherlands, Austria and Poland. Frequent co-authors include Jorn A. van Dalen, Cornelis H. Slump, Pieter L. Jager, Ronald Boellaard, Sjoerd Rijnsdorp, Mark Lubberink, Eric P. Visser, Charlotte S. van der Vos, Antoon T. M. Willemsen and Siert Knollema. Their work appears in journals such as Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging and Seminars in Nuclear Medicine.
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.