Sepp de Raedt
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Surgery
- Oncology top 10%
- Cancer Research
- Co-authors
- Ole-Johan SkredeKnut LiestølAndreas KleppeHåvard E. DanielsenDavid KerrMaiken StillingArild NesbakkenRachel Kerr
- Topics
- Orthopaedic implants and arthroplasty (11 papers)Shoulder Injury and Treatment (9 papers)Hip disorders and treatments (8 papers)
- Partner nations
- DenmarkNetherlandsUnited Kingdom
In The Last Decade
Sepp de Raedt
26 papers receiving 887 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 407
- Artificial Intelligence 321
- Surgery 262
- Oncology 241
- Cancer Research 110
Countries citing papers authored by Sepp de Raedt
This map shows the geographic impact of Sepp de Raedt'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 Sepp de Raedt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sepp de Raedt more than expected).
Fields of papers citing papers by Sepp de Raedt
This network shows the impact of papers produced by Sepp de Raedt. 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 Sepp de Raedt. The network helps show where Sepp de Raedt may publish in the future.
Co-authorship network of co-authors of Sepp de Raedt
This figure shows the co-authorship network connecting the top 25 collaborators of Sepp de Raedt. A scholar is included among the top collaborators of Sepp de Raedt 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 Sepp de Raedt. Sepp de Raedt 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 50 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | Designing deep learning studies in cancer diagnosticsbreakdown → | 210 |
| 10 | 3 | |
| 11 | 11 | |
| 12 | Deep learning for prediction of colorectal cancer outcome: a discovery and validation studybreakdown → | 393 |
| 13 | 6 | |
| 14 | 28 | |
| 15 | 25 | |
| 16 | 10 | |
| 17 | 8 | |
| 18 | 34 | |
| 19 | 8 | |
| 20 | 6 |
About Sepp de Raedt
Sepp de Raedt is a scholar working on Rehabilitation, Surgery and Orthopedics and Sports Medicine, having authored 27 papers that have together received 899 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (11 papers), Shoulder Injury and Treatment (9 papers) and Hip disorders and treatments (8 papers). The work is most often cited by research in Health Informatics (78 citations), Radiology, Nuclear Medicine and Imaging (407 citations) and Artificial Intelligence (321 citations). Sepp de Raedt has collaborated with scholars based in Denmark, Netherlands and United Kingdom. Frequent co-authors include Ole-Johan Skrede, Knut Liestøl, Andreas Kleppe, Håvard E. Danielsen, David Kerr, Maiken Stilling, Arild Nesbakken, Rachel Kerr, Neil A. Shepherd and Tarjei S. Hveem. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Nature reviews. 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.