Joost Nederend
- Oncology top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Lucien E. M. DuijmAdri C. VoogdMarieke W.J. LouwmanFrits H. JansenJohanna H. GroenewoudH.J.T. RuttenJacobus W. A. BurgerSimon W. Nienhuijs
- Topics
- Radiomics and Machine Learning in Medical Imaging (22 papers)Colorectal Cancer Surgical Treatments (20 papers)Colorectal Cancer Screening and Detection (16 papers)
- Journals
- RadiologyBritish Journal of CancerInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- NetherlandsBelgiumDenmark
In The Last Decade
Joost Nederend
65 papers receiving 690 citations
Peers
Comparison fields: 5 of 48
- Oncology 427
- Surgery 237
- Pulmonary and Respiratory Medicine 186
- Artificial Intelligence 153
- Radiology, Nuclear Medicine and Imaging 151
Countries citing papers authored by Joost Nederend
This map shows the geographic impact of Joost Nederend'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 Joost Nederend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joost Nederend more than expected).
Fields of papers citing papers by Joost Nederend
This network shows the impact of papers produced by Joost Nederend. 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 Joost Nederend. The network helps show where Joost Nederend may publish in the future.
Co-authorship network of co-authors of Joost Nederend
This figure shows the co-authorship network connecting the top 25 collaborators of Joost Nederend. A scholar is included among the top collaborators of Joost Nederend 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 Joost Nederend. Joost Nederend 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 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 22 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 22 | |
| 18 | 7 | |
| 19 | 48 | |
| 20 | 42 |
About Joost Nederend
Joost Nederend is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine, having authored 69 papers that have together received 697 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), Colorectal Cancer Surgical Treatments (20 papers) and Colorectal Cancer Screening and Detection (16 papers). The work is most often cited by research in Oncology (427 citations), Health Informatics (11 citations) and Reproductive Medicine (65 citations). Joost Nederend has collaborated with scholars based in Netherlands, Belgium and Denmark. Frequent co-authors include Lucien E. M. Duijm, Adri C. Voogd, Marieke W.J. Louwman, Frits H. Jansen, Johanna H. Groenewoud, H.J.T. Rutten, Jacobus W. A. Burger, Simon W. Nienhuijs, Grard A. P. Nieuwenhuijzen and Miranda Kusters. Their work appears in journals such as Radiology, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.
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.